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pages/01_Agro-Clima.py

@@ -1,387 +1,391 @@
-import os
-import leafmap
-import solara
-import ipywidgets as widgets
-from leafmap import leafmap
-import leafmap.colormaps as cm
-
-
-
-zoom = solara.reactive(2)
-center = solara.reactive((20, 0))
-
-
-maps = {
-     'Agro-ecological Zones: AEZ classification by climate/soil/terrain/LC': 'pages/aez.tif',
-     'Koeppen-Geiger (3-character) classification 2011-2040': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/IPSL-CM5A-LR/rcp4p5/KG3_IPSL-CM5A-LR_rcp4p5_2020s.tif',
-    "Total number of growing period days": 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/GFDL-ESM2M/rcp2p6/TS/lgd_GFDL-ESM2M_rcp2p6_',
-    "Number of dry days during temperature growing period LGPt=5 (days)" : 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/IPSL-CM5A-LR/rcp8p5/TS/ndd2_IPSL-CM5A-LR_rcp8p5_',
-    'Longest period of consecutive dry days in temperature growing period LGPt=5(days)':'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/HadGEM2-ES/rcp2p6/TS/ndd_HadGEM2-ES_rcp2p6_',
-    'Annual temperature amplitude (°C)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/NorESM1-M/rcp4p5/TS/td2_NorESM1-M_rcp4p5_',
-    'Mean annual temperature (°C)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/MIROC-ESM-CHEM/rcp4p5/TS/tmp_MIROC-ESM-CHEM_rcp4p5_',
-    'Annual precipitation (mm)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/MIROC-ESM-CHEM/rcp6p0/TS/prc_MIROC-ESM-CHEM_rcp6p0_',
-    'Total number of rain days (days with P > 1 mm)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/IPSL-CM5A-LR/rcp4p5/TS/ndr_IPSL-CM5A-LR_rcp4p5_'
-    
-}
-anos = list(range(2025, 2041))
-
-
-
-
-#municipios = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil'))
-#municipios_list = 
-
-# Get the list of municipality names
-#estados_list = [estados_list]
-
-maps_list= list(maps)
-maps_values= list(maps.values())
-
-
-aez_dict ={
-    "NAA": "#FFFFFF",  # Branco
-    "Tropics, lowland; semi-arid, no soil/terrain limitations": "#FFD700",  # Dourado
-    "Tropics, lowland; semi-arid, with soil/terrain limitations": "#DAA520",  # Dourado escuro
-    "Tropics, lowland; sub-humid, no soil/terrain limitations": "#32CD32",  # Verde Lima
-    "Tropics, lowland; sub-humid, with soil/terrain limitations": "#228B22",  # Verde Floresta
-    "Tropics, lowland; humid, no soil/terrain limitations": "#008000",  # Verde
-    "Tropics, lowland; humid, with soil/terrain limitations": "#006400",  # Verde Escuro
-    "Tropics, highland; semi-arid, no soil/terrain limitations": "#FFA500",  # Laranja
-    "Tropics, highland; semi-arid, with soil/terrain limitations": "#FF8C00",  # Laranja Escuro
-    "Tropics, highland; sub-humid, no soil/terrain limitations": "#7FFF00",  # Verde Chartreuse
-    "Tropics, highland; sub-humid, with soil/terrain limitations": "#ADFF2F",  # Verde Amarelo
-    "Tropics, highland; humid, no soil/terrain limitations": "#00FF00",  # Verde Limão
-    "Tropics, highland; humid, with soil/terrain limitations": "#00FA9A",  # Verde Médio
-    "Sub-tropics, warm; semi-arid, no soil/terrain limitations": "#FF4500",  # Laranja Vermelho
-    "Sub-tropics, warm; semi-arid, with soil/terrain limitations": "#FF6347",  # Tomate
-    "Sub-tropics, warm; sub-humid, no soil/terrain limitations": "#9ACD32",  # Verde Amarelo Escuro
-    "Sub-tropics, warm; sub-humid, with soil/terrain limitations": "#6B8E23",  # Verde Oliva
-    "Sub-tropics, warm; humid, no soil/terrain limitations": "#3CB371",  # Verde Mar Médio
-    "Sub-tropics, warm; humid, with soil/terrain limitations": "#2E8B57",  # Verde Mar
-    "Sub-tropics, mud, cool; semi-arid, no soil/terrain limitations": "#8B4513",  # Marrom Sela
-    "Sub-tropics, mud, cool; semi-arid, with soil/terrain limitations": "#A0522D",  # Sienna
-    "Sub-tropics, mud, cool; sub-humid, no soil/terrain limitations": "#D2B48C",  # Tan
-    "Sub-tropics, mud, cool; sub-humid, with soil/terrain limitations": "#BC8F8F",  # Rosa Marrom
-    "Sub-tropics, mud, cool; humid, no soil/terrain limitations": "#8FBC8F",  # Verde Mar Claro
-    "Sub-tropics, mud, cool; humid, with soil/terrain limitations": "#556B2F",  # Verde Oliva Escuro
-    "Sub-tropics, cool; semi-arid, no soil/terrain limitations": "#CD853F",  # Peru
-    "Sub-tropics, cool; sub-humid, no soil/terrain limitations": "#DEB887",  # Burlywood
-    "Sub-tropics, cool; humid, with soil/terrain limitations": "#F4A460",  # Sandy Brown
-    "Sub-tropics, cool; humid, no soil/terrain limitations": "#D2691E",  # Chocolate
-    "Temperature, moderate; dry, no soil/terrain limitations": "#B0C4DE",  # Azul Aço Claro
-    "Temperature, moderate; dry, with soil/terrain limitations": "#87CEEB",  # Céu Azul
-    "Temperature, moderate; moist, no soil/terrain limitations": "#ADD8E6",  # Azul Claro
-    "Temperature, moderate; moist, with soil/terrain limitations": "#6495ED",  # Azul Cornflower
-    "Temperature, moderate; wet, no soil/terrain limitations": "#1E90FF",  # Azul Dodger
-    "Temperature, moderate; wet, with soil/terrain limitations": "#0000FF",  # Azul
-    "Temperature, cool; dry, no soil/terrain limitations": "#4682B4",  # Azul Aço
-    "Temperature, cool; dry, with soil/terrain limitations": "#5F9EA0",  # Azul Cadet
-    "Temperature, cool; moist, no soil/terrain limitations": "#00CED1",  # Azul Turquesa Escuro
-    "Temperature, cool; moist, with soil/terrain limitations": "#40E0D0",  # Turquesa
-    "Temperature, cool; wet, no soil/terrain limitations": "#00FFFF",  # Ciano
-    "Temperature, cool; wet, with soil/terrain limitations": "#00BFFF",  # Azul Céu Profundo
-    "Cold, no permafrost; dry, no soil/terrain limitations": "#A9A9A9",  # Cinza Escuro
-    "Cold, no permafrost; dry, with soil/terrain limitations": "#808080",  # Cinza
-    "Cold, no permafrost; moist, no soil/terrain limitations": "#C0C0C0",  # Prata
-    "Cold, no permafrost; moist, with soil/terrain limitations": "#D3D3D3",  # Cinza Claro
-    "Cold, no permafrost; wet, no soil/terrain limitations": "#E0FFFF",  # Azul Claro Claro
-    "Cold, no permafrost; wet, with soil/terrain limitations": "#F0FFFF",  # Azul Celeste
-    "Dominantly very steep terrain": "#8B0000",  # Vermelho Escuro
-    "Land with severe soil/terrain limitations": "#FF0000",  # Vermelho
-    "Ample irrigated soils": "#00FF00",  # Verde Limão
-    "Dominantly hydromorphic soils": "#008080",  # Verde Azulado
-    "Desert/Arid climate": "#FFDAB9",  # Pêssego
-    "Boreal/Cold climate": "#000080",  # Azul Marinho
-    "Arctic/Very cold climate": "#FFFFFF",  # Branco
-    "Dominantly built-up land": "#A52A2A",  # Marrom
-    "Dominantly water": "#0000FF"  # Azul
-}
-
-
-legend_dict = {
-    "NA": "#FFFFFF",
-    "Tropics, lowland; semi-arid, no soil/terrain limitations": "#FF99CC",
-    "Tropics, lowland; semi-arid, with soil/terrain limitations": "#FF6699",
-    "Tropics, lowland; sub-humid, no soil/terrain limitations": "#FF9966",
-    "Tropics, lowland; sub-humid, with soil/terrain limitations": "#FF6600",
-    "Tropics, lowland; humid, no soil/terrain limitations": "#FFCC66",
-    "Tropics, lowland; humid, with soil/terrain limitations": "#FF9933",
-    "Tropics, highland; semi-arid, no soil/terrain limitations": "#FFCC99",
-    "Tropics, highland; semi-arid, with soil/terrain limitations": "#FFCC00",
-    "Tropics, highland; sub-humid, no soil/terrain limitations": "#FFFF99",
-    "Tropics, highland; sub-humid, with soil/terrain limitations": "#FFFF33",
-    "Tropics, highland; humid, no soil/terrain limitations": "#FFFF66",
-    "Tropics, highland; humid, with soil/terrain limitations": "#FFFF00",
-    "Sub-tropics, warm; semi-arid, no soil/terrain limitations": "#FFCC33",
-    "Sub-tropics, warm; semi-arid, with soil/terrain limitations": "#FF9900",
-    "Sub-tropics, warm; sub-humid, no soil/terrain limitations": "#FFCC00",
-    "Sub-tropics, warm; sub-humid, with soil/terrain limitations": "#FF9900",
-    "Sub-tropics, warm; humid, no soil/terrain limitations": "#FFD700",
-    "Sub-tropics, warm; humid, with soil/terrain limitations": "#FF8C00",
-    "Sub-tropics, mod. cool; semi-arid, no soil/terrain limitations": "#FFA07A",
-    "Sub-tropics, mod. cool; semi-arid, with soil/terrain limitations": "#FF4500",
-    "Sub-tropics, mod. cool; sub-humid, no soil/terrain limitations": "#FFA500",
-    "Sub-tropics, mod. cool; sub-humid, with soil/terrain limitations": "#FFDAB9",
-    "Sub-tropics, mod. cool; humid, no soil/terrain limitations": "#FFD700",
-    "Sub-tropics, mod. cool; humid, with soil/terrain limitations": "#FFC0CB",
-    "Sub-tropics, cool; semi-arid, no soil/terrain limitations": "#98FB98",
-    "Sub-tropics, cool; semi-arid, with soil/terrain limitations": "#7CFC00",
-    "Sub-tropics, cool; sub-humid, no soil/terrain limitations": "#ADFF2F",
-    "Sub-tropics, cool; sub-humid, with soil/terrain limitations": "#32CD32",
-    "Sub-tropics, cool; humid, no soil/terrain limitations": "#00FF00",
-    "Sub-tropics, cool; humid, with soil/terrain limitations": "#008000",
-    "Temperate, moderate; dry, no soil/terrain limitations": "#ADD8E6",
-    "Temperate, moderate; dry, with soil/terrain limitations": "#4682B4",
-    "Temperate, moderate; moist, no soil/terrain limitations": "#5F9EA0",
-    "Temperate, moderate; moist, with soil/terrain limitations": "#6495ED",
-    "Temperate, moderate; wet, no soil/terrain limitations": "#1E90FF",
-    "Temperate, moderate; wet, with soil/terrain limitations": "#0000FF",
-    "Temperate, cool; dry, no soil/terrain limitations": "#87CEEB",
-    "Temperate, cool; dry, with soil/terrain limitations": "#4169E1",
-    "Temperate, cool; moist, no soil/terrain limitations": "#191970",
-    "Temperate, cool; moist, with soil/terrain limitations": "#00008B",
-    "Temperate, cool; wet, no soil/terrain limitations": "#4B0082",
-    "Temperate, cool; wet, with soil/terrain limitations": "#8A2BE2",
-    "Cold, no permafrost; dry, no soil/terrain limitations": "#708090",
-    "Cold, no permafrost; dry, with soil/terrain limitations": "#2F4F4F",
-    "Cold, no permafrost; moist, no soil/terrain limitations": "#696969",
-    "Cold, no permafrost; moist, with soil/terrain limitations": "#808080",
-    "Cold, no permafrost; wet, no soil/terrain limitations": "#A9A9A9",
-    "Cold, no permafrost; wet, with soil/terrain limitations": "#D3D3D3",
-    "Dominantly very steep terrain": "#FFD700",
-    "Land with severe soil/terrain limitations": "#A0522D",
-    "Ample irrigated soils": "#CD5C5C",
-    "Dominantly hydromorphic soils": "#8B0000",
-    "Desert/Arid climate": "#FF4500",
-    "Boreal/Cold climate": "#2E8B57",
-    "Arctic/Very cold climate": "#00CED1",
-    "Dominantly built-up land": "#8B4513",
-    "Dominantly water": "#0000FF"
-}
-
-      
-    
-
-def add_widgets(m):
-            
-            
-            setattr(m, "zoom_to_layer", True)
-            style = {"description_width": "initial"}
-            padding = "0px 0px 0px 5px"
-
-            
-            image = widgets.Dropdown(
-                value=None,
-                options=[('Agro-ecological Zones classification by climate/soil/terrain/LC', maps_values[0]),
-                     ('Koeppen-Geiger (3-character) classification 2011-2040', maps_values[1]),
-                        ('Total number of growing period days', maps_values[2]),
-                        ('Number of dry days during temperature growing period LGPt=5 (days)', maps_values[3]),
-                        ('Longest period of consecutive dry days in temperature growing period LGPt=5(days)', maps_values[4]),
-                        ('Annual temperature amplitude (°C)', maps_values[5]),
-                        ('Mean annual temperature (°C)', maps_values[6]),
-                        ('Annual precipitation (mm)', maps_values[7]),
-                        ('Total number of rain days (days with P > 1 mm)', maps_values[8]),
-                            ],
-                description="Image:",
-                style=style,
-                layout=widgets.Layout(width="270px", padding=padding),
-            )
-
-            ano = widgets.Dropdown(
-                value=None,
-                options=anos,
-                description="Ano:",
-                style=style,
-                layout=widgets.Layout(width="270px", padding=padding),
-            )
-
-            output = widgets.Output()
-
-
-           
-
-            def change_ano(change):
-                if change.new:
-                    if change.new not in m.get_layer_names():
-                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
-                                                
-                        m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
-                        
-                        output.outputs = ()
-                        #output.append_stdout(f"Image date: {image_date}\n")
-
-            ano.observe(change_ano, names="value")
-            
-
-            def change_image(change):
-                if change.new:
-                    if change.new not in m.get_layer_names():
-                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
-                        layer_list = m.get_layer_names()
-                        
-                        for layer in layer_list:
-                            m.remove_layer(m.find_layer(layer))
-                        
-
-                        m.add_basemap("HYBRID")
-                        #m.remove_legend()
-
-                        if image.value == maps_values[0]:
-                            m.add_raster(maps_values[0], layer_name=maps_list[0])
-                            m.add_legend(legend_title="Legenda", legend_dict=aez_dict, layer_name=maps_list[0], position="bottomleft")
-
-                        elif image.value == maps_values[1]:
-                            
-                            
-                            #m.remove_colorbar()
-                            #raster = 'pages/aez.tif'
-                            legend_dict = {
-                                    "A4 Equatorial rainforest": "#00FF00",  # Verde
-                                    "Am Equatorial monsoon": "#32CD32",     # Verde Lima
-                                    "As Equatorial savannah, dry summer": "#ADFF2F",  # Verde Amarelo
-                                    "Aw Equatorial savannah, dry winter": "#9ACD32",  # Verde Amarelo Escuro
-                                    "BWh Desert climate, hot": "#FF4500",   # Laranja Vermelho
-                                    "BWk Desert climate, cold": "#FF8C00",  # Laranja Escuro
-                                    "BSh Steppe climate, hot": "#FFD700",   # Ouro
-                                    "BSk Steppe climate, cold": "#DAA520",  # Ouro Escuro
-                                    "Cfa Temperate/mesothermal, fully humid, hot": "#87CEEB",  # Céu Azul
-                                    "Cfb Temperate/mesothermal, fully humid, warm": "#ADD8E6",  # Azul Claro
-                                    "Cfc Temperate/mesothermal, fully humid, cold": "#4682B4",  # Azul Aço
-                                    "Csa Temperate/mesothermal, dry summer, hot": "#FFA07A",  # Salmão Claro
-                                    "Csb Temperate/mesothermal, dry summer, warm": "#FA8072",  # Salmão
-                                    "Csc Temperate/mesothermal, dry summer, cold": "#E9967A",  # Salmão Escuro
-                                    "Cwa Temperate/mesothermal, dry winter, hot": "#FFDAB9",  # Pêssego
-                                    "Cwb Temperate/mesothermal, dry winter, warm": "#FFE4B5",  # Moccasin
-                                    "Cwc Temperate/mesothermal, dry winter, cold": "#FFDEAD",  # Navajo Branco
-                                    "Dfa Continental/microthermal, fully humid, hot": "#8B0000",  # Vermelho Escuro
-                                    "Dfb Continental/microthermal, fully humid, warm": "#B22222",  # Tijolo Fogo
-                                    "Dfc Continental/microthermal, fully humid, cold": "#DC143C",  # Carmesim
-                                    "Dfd Continental/microthermal, fully humid, very cold": "#FF0000",  # Vermelho
-                                    "Dsa Continental/microthermal, dry summer, hot": "#800080",  # Roxo
-                                    "Dsb Continental/microthermal, dry summer, warm": "#9370DB",  # Roxo Médio
-                                    "Dsc Continental/microthermal, dry summer, cold": "#8A2BE2",  # Azul Violeta
-                                    "Dsd Continental/microthermal, dry summer, very cold": "#4B0082",  # Índigo
-                                    "Dwa Continental/microthermal, dry winter, hot": "#000080",  # Azul Marinho
-                                    "Dwb Continental/microthermal, dry winter, warm": "#0000CD",  # Azul Médio
-                                    "Dwc Continental/microthermal, dry winter, cold": "#1E90FF",  # Azul Dodger
-                                    "Dwd Continental/microthermal, dry winter, very cold": "#00BFFF",  # Azul Céu Profundo
-                                    "ET Tundra climate": "#F0E68C",  # Caqui
-                                    "EF Eternal Frost climate": "#FFFFFF"   # Branco
-                                }
-                            
-                            custom_cmap = {
-                                    0: "#00FF00",  # A4 Equatorial rainforest
-                            1: "#32CD32",  # Am Equatorial monsoon
-                            2: "#ADFF2F",  # As Equatorial savannah, dry summer
-                            3: "#9ACD32",  # Aw Equatorial savannah, dry winter
-                            4: "#FF4500",  # BWh Desert climate, hot
-                            5: "#FF8C00",  # BWk Desert climate, cold
-                            6: "#FFD700",  # BSh Steppe climate, hot
-                            7: "#DAA520",  # BSk Steppe climate, cold
-                            8: "#87CEEB",  # Cfa Temperate/mesothermal climate, fully humid, hot
-                            9: "#ADD8E6",  # Cfb Temperate/mesothermal climate, fully humid, warm
-                            10: "#4682B4",  # Cfc Temperate/mesothermal climate, fully humid, cold
-                            11: "#FFA07A",  # Csa Temperate/mesothermal climate, dry summer, hot
-                            12: "#FA8072",  # Csb Temperate/mesothermal climate, dry summer, warm
-                            13: "#E9967A",  # Csc Temperate/mesothermal climate, dry summer, cold
-                            14: "#FFDAB9",  # Cwa Temperate/mesothermal climate, dry winter, hot
-                            15: "#FFE4B5",  # Cwb Temperate/mesothermal climate, dry winter, warm
-                            16: "#FFDEAD",  # Cwc Temperate/mesothermal climate, dry winter, cold
-                            17: "#8B0000",  # Dfa Continental/microthermal climate, fully humid, hot
-                            18: "#B22222",  # Dfb Continental/microthermal climate, fully humid, warm
-                            19: "#DC143C",  # Dfc Continental/microthermal climate, fully humid, cold
-                            20: "#FF0000",  # Dfd Continental/microthermal climate, fully humid, very cold
-                            21: "#800080",  # Dsa Continental/microthermal climate, dry summer, hot
-                            22: "#9370DB",  # Dsb Continental/microthermal climate, dry summer, warm
-                            23: "#8A2BE2",  # Dsc Continental/microthermal climate, dry summer, cold
-                            24: "#4B0082",  # Dsd Continental/microthermal climate, dry summer, very cold
-                            25: "#000080",  # Dwa Continental/microthermal climate, dry winter, hot
-                            26: "#0000CD",  # Dwb Continental/microthermal climate, dry winter, warm
-                            27: "#1E90FF",  # Dwc Continental/microthermal climate, dry winter, cold
-                            28: "#00BFFF",  # Dwd Continental/microthermal climate, dry winter, very cold
-                            29: "#F0E68C",  # ET Tundra climate
-                            30: "#FFFFFF"   # EF Eternal Frost climate
-                                }
-
-                            
-                            
-                            m.add_cog_layer(image.value, colormap=custom_cmap, name=maps_list[1])
-                            m.add_legend(legend_title="Legenda", legend_dict=legend_dict, layer_name=maps_list[1], position="bottomleft")
-
-                        
-                        elif image.value == maps_values[5] or image.value == maps_values[6]:
-                            
-
-                            
-
-                            colors = cm.get_palette(cmap_name='inferno', hashtag=True)
-                            m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
-                            m.add_colorbar(colors= colors, vmin=0, vmax=40, position='bottomright', orientation='horizontal', label='°C', caption='Graus Celsius')
-                        elif image.value == maps_values[7]:
-                            
-                        
-
-                            colors = cm.get_palette(cmap_name='inferno', hashtag=True)
-                            m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
-                            m.add_colorbar(colors= colors, vmin=0, vmax=3000, position='bottomright', orientation='horizontal', label='mm', caption='Precipitação Anual')
-                        
-                            
-
-                        else:
-                                
-                            
-                                m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
-                                
-                                colors = cm.get_palette(cmap_name='inferno', hashtag=True)
-                                m.add_colorbar(colors= colors, vmin=0, vmax=365, position='bottomright', orientation='horizontal', label='Dias', caption='Dias no Ano')
-                            
-                                
-                        
-                        #image_date = get_image_date(image.value, m)
-                        
-                        output.outputs = ()
-                        #output.append_stdout(f"Image date: {image_date}\n")
-
-            image.observe(change_image, names="value")
-                
-            box = widgets.VBox(
-                [ ano,image, output]
-            )
-            m.add_widget(box, position="topright", add_header=False)
-
-
-class Map(leafmap.Map):
-        def __init__(self, **kwargs):
-            super().__init__(**kwargs)
-            #ee.Authenticate()
-            #ee.Initialize(project='ee-curso-gee-rhamon')
-            #self.add_ee_data()
-            
-
-            add_widgets(self)
-            self.add_layer_manager(opened= True)
-            #self.add_legend(legend_title="Legend", legend_dict=legend_dict, open=False)
-            #self.add_inspector()
-            
-            
-
-           
-
-        
-        
-        
-        
-
-@solara.component
-def Page():
-    with solara.Column(style={"min-width": "500px"}):
-        Map.element(
-            zoom=zoom.value,
-            on_zoom=zoom.set,
-            center=center.value,
-            on_center=center.set,
-            height="600px",
-            toolbar_ctrl=False,
-            data_ctrl=True,
-            add_google_map=True,
-        )
+import os
+import leafmap
+import solara
+import ipywidgets as widgets
+from leafmap import leafmap
+import leafmap.colormaps as cm
+from leafmap.common import get_image_colormap
+
+
+
+
+
+
+zoom = solara.reactive(2)
+center = solara.reactive((20, 0))
+
+
+maps = {
+     'Agro-ecological Zones: AEZ classification by climate/soil/terrain/LC': 'pages/aez.tif',
+     'Koeppen-Geiger (3-character) classification 2011-2040': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/IPSL-CM5A-LR/rcp4p5/KG3_IPSL-CM5A-LR_rcp4p5_2020s.tif',
+    "Total number of growing period days": 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/GFDL-ESM2M/rcp2p6/TS/lgd_GFDL-ESM2M_rcp2p6_',
+    "Number of dry days during temperature growing period LGPt=5 (days)" : 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/IPSL-CM5A-LR/rcp8p5/TS/ndd2_IPSL-CM5A-LR_rcp8p5_',
+    'Longest period of consecutive dry days in temperature growing period LGPt=5(days)':'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/HadGEM2-ES/rcp2p6/TS/ndd_HadGEM2-ES_rcp2p6_',
+    'Annual temperature amplitude (°C)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/NorESM1-M/rcp4p5/TS/td2_NorESM1-M_rcp4p5_',
+    'Mean annual temperature (°C)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/MIROC-ESM-CHEM/rcp4p5/TS/tmp_MIROC-ESM-CHEM_rcp4p5_',
+    'Annual precipitation (mm)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/MIROC-ESM-CHEM/rcp6p0/TS/prc_MIROC-ESM-CHEM_rcp6p0_',
+    'Total number of rain days (days with P > 1 mm)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/IPSL-CM5A-LR/rcp4p5/TS/ndr_IPSL-CM5A-LR_rcp4p5_'
+    
+}
+anos = list(range(2025, 2041))
+
+
+
+
+#municipios = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil'))
+#municipios_list = 
+
+# Get the list of municipality names
+#estados_list = [estados_list]
+
+maps_list= list(maps)
+maps_values= list(maps.values())
+
+
+aez_dict ={
+    "NAA": "#FFFFFF",  # Branco
+    "Tropics, lowland; semi-arid, no soil/terrain limitations": "#FFD700",  # Dourado
+    "Tropics, lowland; semi-arid, with soil/terrain limitations": "#DAA520",  # Dourado escuro
+    "Tropics, lowland; sub-humid, no soil/terrain limitations": "#32CD32",  # Verde Lima
+    "Tropics, lowland; sub-humid, with soil/terrain limitations": "#228B22",  # Verde Floresta
+    "Tropics, lowland; humid, no soil/terrain limitations": "#008000",  # Verde
+    "Tropics, lowland; humid, with soil/terrain limitations": "#006400",  # Verde Escuro
+    "Tropics, highland; semi-arid, no soil/terrain limitations": "#FFA500",  # Laranja
+    "Tropics, highland; semi-arid, with soil/terrain limitations": "#FF8C00",  # Laranja Escuro
+    "Tropics, highland; sub-humid, no soil/terrain limitations": "#7FFF00",  # Verde Chartreuse
+    "Tropics, highland; sub-humid, with soil/terrain limitations": "#ADFF2F",  # Verde Amarelo
+    "Tropics, highland; humid, no soil/terrain limitations": "#00FF00",  # Verde Limão
+    "Tropics, highland; humid, with soil/terrain limitations": "#00FA9A",  # Verde Médio
+    "Sub-tropics, warm; semi-arid, no soil/terrain limitations": "#FF4500",  # Laranja Vermelho
+    "Sub-tropics, warm; semi-arid, with soil/terrain limitations": "#FF6347",  # Tomate
+    "Sub-tropics, warm; sub-humid, no soil/terrain limitations": "#9ACD32",  # Verde Amarelo Escuro
+    "Sub-tropics, warm; sub-humid, with soil/terrain limitations": "#6B8E23",  # Verde Oliva
+    "Sub-tropics, warm; humid, no soil/terrain limitations": "#3CB371",  # Verde Mar Médio
+    "Sub-tropics, warm; humid, with soil/terrain limitations": "#2E8B57",  # Verde Mar
+    "Sub-tropics, mud, cool; semi-arid, no soil/terrain limitations": "#8B4513",  # Marrom Sela
+    "Sub-tropics, mud, cool; semi-arid, with soil/terrain limitations": "#A0522D",  # Sienna
+    "Sub-tropics, mud, cool; sub-humid, no soil/terrain limitations": "#D2B48C",  # Tan
+    "Sub-tropics, mud, cool; sub-humid, with soil/terrain limitations": "#BC8F8F",  # Rosa Marrom
+    "Sub-tropics, mud, cool; humid, no soil/terrain limitations": "#8FBC8F",  # Verde Mar Claro
+    "Sub-tropics, mud, cool; humid, with soil/terrain limitations": "#556B2F",  # Verde Oliva Escuro
+    "Sub-tropics, cool; semi-arid, no soil/terrain limitations": "#CD853F",  # Peru
+    "Sub-tropics, cool; sub-humid, no soil/terrain limitations": "#DEB887",  # Burlywood
+    "Sub-tropics, cool; humid, with soil/terrain limitations": "#F4A460",  # Sandy Brown
+    "Sub-tropics, cool; humid, no soil/terrain limitations": "#D2691E",  # Chocolate
+    "Temperature, moderate; dry, no soil/terrain limitations": "#B0C4DE",  # Azul Aço Claro
+    "Temperature, moderate; dry, with soil/terrain limitations": "#87CEEB",  # Céu Azul
+    "Temperature, moderate; moist, no soil/terrain limitations": "#ADD8E6",  # Azul Claro
+    "Temperature, moderate; moist, with soil/terrain limitations": "#6495ED",  # Azul Cornflower
+    "Temperature, moderate; wet, no soil/terrain limitations": "#1E90FF",  # Azul Dodger
+    "Temperature, moderate; wet, with soil/terrain limitations": "#0000FF",  # Azul
+    "Temperature, cool; dry, no soil/terrain limitations": "#4682B4",  # Azul Aço
+    "Temperature, cool; dry, with soil/terrain limitations": "#5F9EA0",  # Azul Cadet
+    "Temperature, cool; moist, no soil/terrain limitations": "#00CED1",  # Azul Turquesa Escuro
+    "Temperature, cool; moist, with soil/terrain limitations": "#40E0D0",  # Turquesa
+    "Temperature, cool; wet, no soil/terrain limitations": "#00FFFF",  # Ciano
+    "Temperature, cool; wet, with soil/terrain limitations": "#00BFFF",  # Azul Céu Profundo
+    "Cold, no permafrost; dry, no soil/terrain limitations": "#A9A9A9",  # Cinza Escuro
+    "Cold, no permafrost; dry, with soil/terrain limitations": "#808080",  # Cinza
+    "Cold, no permafrost; moist, no soil/terrain limitations": "#C0C0C0",  # Prata
+    "Cold, no permafrost; moist, with soil/terrain limitations": "#D3D3D3",  # Cinza Claro
+    "Cold, no permafrost; wet, no soil/terrain limitations": "#E0FFFF",  # Azul Claro Claro
+    "Cold, no permafrost; wet, with soil/terrain limitations": "#F0FFFF",  # Azul Celeste
+    "Dominantly very steep terrain": "#8B0000",  # Vermelho Escuro
+    "Land with severe soil/terrain limitations": "#FF0000",  # Vermelho
+    "Ample irrigated soils": "#00FF00",  # Verde Limão
+    "Dominantly hydromorphic soils": "#008080",  # Verde Azulado
+    "Desert/Arid climate": "#FFDAB9",  # Pêssego
+    "Boreal/Cold climate": "#000080",  # Azul Marinho
+    "Arctic/Very cold climate": "#FFFFFF",  # Branco
+    "Dominantly built-up land": "#A52A2A",  # Marrom
+    "Dominantly water": "#0000FF"  # Azul
+}
+
+
+legend_dict = {
+    "NA": "#FFFFFF",
+    "Tropics, lowland; semi-arid, no soil/terrain limitations": "#FF99CC",
+    "Tropics, lowland; semi-arid, with soil/terrain limitations": "#FF6699",
+    "Tropics, lowland; sub-humid, no soil/terrain limitations": "#FF9966",
+    "Tropics, lowland; sub-humid, with soil/terrain limitations": "#FF6600",
+    "Tropics, lowland; humid, no soil/terrain limitations": "#FFCC66",
+    "Tropics, lowland; humid, with soil/terrain limitations": "#FF9933",
+    "Tropics, highland; semi-arid, no soil/terrain limitations": "#FFCC99",
+    "Tropics, highland; semi-arid, with soil/terrain limitations": "#FFCC00",
+    "Tropics, highland; sub-humid, no soil/terrain limitations": "#FFFF99",
+    "Tropics, highland; sub-humid, with soil/terrain limitations": "#FFFF33",
+    "Tropics, highland; humid, no soil/terrain limitations": "#FFFF66",
+    "Tropics, highland; humid, with soil/terrain limitations": "#FFFF00",
+    "Sub-tropics, warm; semi-arid, no soil/terrain limitations": "#FFCC33",
+    "Sub-tropics, warm; semi-arid, with soil/terrain limitations": "#FF9900",
+    "Sub-tropics, warm; sub-humid, no soil/terrain limitations": "#FFCC00",
+    "Sub-tropics, warm; sub-humid, with soil/terrain limitations": "#FF9900",
+    "Sub-tropics, warm; humid, no soil/terrain limitations": "#FFD700",
+    "Sub-tropics, warm; humid, with soil/terrain limitations": "#FF8C00",
+    "Sub-tropics, mod. cool; semi-arid, no soil/terrain limitations": "#FFA07A",
+    "Sub-tropics, mod. cool; semi-arid, with soil/terrain limitations": "#FF4500",
+    "Sub-tropics, mod. cool; sub-humid, no soil/terrain limitations": "#FFA500",
+    "Sub-tropics, mod. cool; sub-humid, with soil/terrain limitations": "#FFDAB9",
+    "Sub-tropics, mod. cool; humid, no soil/terrain limitations": "#FFD700",
+    "Sub-tropics, mod. cool; humid, with soil/terrain limitations": "#FFC0CB",
+    "Sub-tropics, cool; semi-arid, no soil/terrain limitations": "#98FB98",
+    "Sub-tropics, cool; semi-arid, with soil/terrain limitations": "#7CFC00",
+    "Sub-tropics, cool; sub-humid, no soil/terrain limitations": "#ADFF2F",
+    "Sub-tropics, cool; sub-humid, with soil/terrain limitations": "#32CD32",
+    "Sub-tropics, cool; humid, no soil/terrain limitations": "#00FF00",
+    "Sub-tropics, cool; humid, with soil/terrain limitations": "#008000",
+    "Temperate, moderate; dry, no soil/terrain limitations": "#ADD8E6",
+    "Temperate, moderate; dry, with soil/terrain limitations": "#4682B4",
+    "Temperate, moderate; moist, no soil/terrain limitations": "#5F9EA0",
+    "Temperate, moderate; moist, with soil/terrain limitations": "#6495ED",
+    "Temperate, moderate; wet, no soil/terrain limitations": "#1E90FF",
+    "Temperate, moderate; wet, with soil/terrain limitations": "#0000FF",
+    "Temperate, cool; dry, no soil/terrain limitations": "#87CEEB",
+    "Temperate, cool; dry, with soil/terrain limitations": "#4169E1",
+    "Temperate, cool; moist, no soil/terrain limitations": "#191970",
+    "Temperate, cool; moist, with soil/terrain limitations": "#00008B",
+    "Temperate, cool; wet, no soil/terrain limitations": "#4B0082",
+    "Temperate, cool; wet, with soil/terrain limitations": "#8A2BE2",
+    "Cold, no permafrost; dry, no soil/terrain limitations": "#708090",
+    "Cold, no permafrost; dry, with soil/terrain limitations": "#2F4F4F",
+    "Cold, no permafrost; moist, no soil/terrain limitations": "#696969",
+    "Cold, no permafrost; moist, with soil/terrain limitations": "#808080",
+    "Cold, no permafrost; wet, no soil/terrain limitations": "#A9A9A9",
+    "Cold, no permafrost; wet, with soil/terrain limitations": "#D3D3D3",
+    "Dominantly very steep terrain": "#FFD700",
+    "Land with severe soil/terrain limitations": "#A0522D",
+    "Ample irrigated soils": "#CD5C5C",
+    "Dominantly hydromorphic soils": "#8B0000",
+    "Desert/Arid climate": "#FF4500",
+    "Boreal/Cold climate": "#2E8B57",
+    "Arctic/Very cold climate": "#00CED1",
+    "Dominantly built-up land": "#8B4513",
+    "Dominantly water": "#0000FF"
+}
+
+      
+    
+
+def add_widgets(m):
+            
+            
+            setattr(m, "zoom_to_layer", True)
+            style = {"description_width": "initial"}
+            padding = "0px 0px 0px 5px"
+
+            
+            image = widgets.Dropdown(
+                value=None,
+                options=[('Agro-ecological Zones classification by climate/soil/terrain/LC', maps_values[0]),
+                     ('Koeppen-Geiger (3-character) classification 2011-2040', maps_values[1]),
+                        ('Total number of growing period days', maps_values[2]),
+                        ('Number of dry days during temperature growing period LGPt=5 (days)', maps_values[3]),
+                        ('Longest period of consecutive dry days in temperature growing period LGPt=5(days)', maps_values[4]),
+                        ('Annual temperature amplitude (°C)', maps_values[5]),
+                        ('Mean annual temperature (°C)', maps_values[6]),
+                        ('Annual precipitation (mm)', maps_values[7]),
+                        ('Total number of rain days (days with P > 1 mm)', maps_values[8]),
+                            ],
+                description="Image:",
+                style=style,
+                layout=widgets.Layout(width="270px", padding=padding),
+            )
+
+            ano = widgets.Dropdown(
+                value=None,
+                options=anos,
+                description="Ano:",
+                style=style,
+                layout=widgets.Layout(width="270px", padding=padding),
+            )
+
+            output = widgets.Output()
+
+
+           
+
+            def change_ano(change):
+                if change.new:
+                    if change.new not in m.get_layer_names():
+                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
+                                                
+                        m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
+                        
+                        output.outputs = ()
+                        #output.append_stdout(f"Image date: {image_date}\n")
+
+            ano.observe(change_ano, names="value")
+            
+
+            def change_image(change):
+                if change.new:
+                    if change.new not in m.get_layer_names():
+                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
+                        layer_list = m.get_layer_names()
+                        
+                        for layer in layer_list:
+                            m.remove_layer(m.find_layer(layer))
+                        
+
+                        m.add_basemap("HYBRID")
+                        #m.remove_legend()
+
+                        if image.value == maps_values[0]:
+                            m.add_raster(maps_values[0], layer_name=maps_list[0])
+                            m.add_legend(legend_title="Legenda", legend_dict=aez_dict, layer_name=maps_list[0], position="bottomleft")
+
+                        elif image.value == maps_values[1]:
+                            
+                            
+                            #m.remove_colorbar()
+                            #raster = 'pages/aez.tif'
+                            legend_dict = {
+                                    "A4 Equatorial rainforest": "#00FF00",  # Verde
+                                    "Am Equatorial monsoon": "#32CD32",     # Verde Lima
+                                    "As Equatorial savannah, dry summer": "#ADFF2F",  # Verde Amarelo
+                                    "Aw Equatorial savannah, dry winter": "#9ACD32",  # Verde Amarelo Escuro
+                                    "BWh Desert climate, hot": "#FF4500",   # Laranja Vermelho
+                                    "BWk Desert climate, cold": "#FF8C00",  # Laranja Escuro
+                                    "BSh Steppe climate, hot": "#FFD700",   # Ouro
+                                    "BSk Steppe climate, cold": "#DAA520",  # Ouro Escuro
+                                    "Cfa Temperate/mesothermal, fully humid, hot": "#87CEEB",  # Céu Azul
+                                    "Cfb Temperate/mesothermal, fully humid, warm": "#ADD8E6",  # Azul Claro
+                                    "Cfc Temperate/mesothermal, fully humid, cold": "#4682B4",  # Azul Aço
+                                    "Csa Temperate/mesothermal, dry summer, hot": "#FFA07A",  # Salmão Claro
+                                    "Csb Temperate/mesothermal, dry summer, warm": "#FA8072",  # Salmão
+                                    "Csc Temperate/mesothermal, dry summer, cold": "#E9967A",  # Salmão Escuro
+                                    "Cwa Temperate/mesothermal, dry winter, hot": "#FFDAB9",  # Pêssego
+                                    "Cwb Temperate/mesothermal, dry winter, warm": "#FFE4B5",  # Moccasin
+                                    "Cwc Temperate/mesothermal, dry winter, cold": "#FFDEAD",  # Navajo Branco
+                                    "Dfa Continental/microthermal, fully humid, hot": "#8B0000",  # Vermelho Escuro
+                                    "Dfb Continental/microthermal, fully humid, warm": "#B22222",  # Tijolo Fogo
+                                    "Dfc Continental/microthermal, fully humid, cold": "#DC143C",  # Carmesim
+                                    "Dfd Continental/microthermal, fully humid, very cold": "#FF0000",  # Vermelho
+                                    "Dsa Continental/microthermal, dry summer, hot": "#800080",  # Roxo
+                                    "Dsb Continental/microthermal, dry summer, warm": "#9370DB",  # Roxo Médio
+                                    "Dsc Continental/microthermal, dry summer, cold": "#8A2BE2",  # Azul Violeta
+                                    "Dsd Continental/microthermal, dry summer, very cold": "#4B0082",  # Índigo
+                                    "Dwa Continental/microthermal, dry winter, hot": "#000080",  # Azul Marinho
+                                    "Dwb Continental/microthermal, dry winter, warm": "#0000CD",  # Azul Médio
+                                    "Dwc Continental/microthermal, dry winter, cold": "#1E90FF",  # Azul Dodger
+                                    "Dwd Continental/microthermal, dry winter, very cold": "#00BFFF",  # Azul Céu Profundo
+                                    "ET Tundra climate": "#F0E68C",  # Caqui
+                                    "EF Eternal Frost climate": "#FFFFFF"   # Branco
+                                }
+                            
+                            custom_cmap = {
+                                    0: "#00FF00",  # A4 Equatorial rainforest
+                            1: "#32CD32",  # Am Equatorial monsoon
+                            2: "#ADFF2F",  # As Equatorial savannah, dry summer
+                            3: "#9ACD32",  # Aw Equatorial savannah, dry winter
+                            4: "#FF4500",  # BWh Desert climate, hot
+                            5: "#FF8C00",  # BWk Desert climate, cold
+                            6: "#FFD700",  # BSh Steppe climate, hot
+                            7: "#DAA520",  # BSk Steppe climate, cold
+                            8: "#87CEEB",  # Cfa Temperate/mesothermal climate, fully humid, hot
+                            9: "#ADD8E6",  # Cfb Temperate/mesothermal climate, fully humid, warm
+                            10: "#4682B4",  # Cfc Temperate/mesothermal climate, fully humid, cold
+                            11: "#FFA07A",  # Csa Temperate/mesothermal climate, dry summer, hot
+                            12: "#FA8072",  # Csb Temperate/mesothermal climate, dry summer, warm
+                            13: "#E9967A",  # Csc Temperate/mesothermal climate, dry summer, cold
+                            14: "#FFDAB9",  # Cwa Temperate/mesothermal climate, dry winter, hot
+                            15: "#FFE4B5",  # Cwb Temperate/mesothermal climate, dry winter, warm
+                            16: "#FFDEAD",  # Cwc Temperate/mesothermal climate, dry winter, cold
+                            17: "#8B0000",  # Dfa Continental/microthermal climate, fully humid, hot
+                            18: "#B22222",  # Dfb Continental/microthermal climate, fully humid, warm
+                            19: "#DC143C",  # Dfc Continental/microthermal climate, fully humid, cold
+                            20: "#FF0000",  # Dfd Continental/microthermal climate, fully humid, very cold
+                            21: "#800080",  # Dsa Continental/microthermal climate, dry summer, hot
+                            22: "#9370DB",  # Dsb Continental/microthermal climate, dry summer, warm
+                            23: "#8A2BE2",  # Dsc Continental/microthermal climate, dry summer, cold
+                            24: "#4B0082",  # Dsd Continental/microthermal climate, dry summer, very cold
+                            25: "#000080",  # Dwa Continental/microthermal climate, dry winter, hot
+                            26: "#0000CD",  # Dwb Continental/microthermal climate, dry winter, warm
+                            27: "#1E90FF",  # Dwc Continental/microthermal climate, dry winter, cold
+                            28: "#00BFFF",  # Dwd Continental/microthermal climate, dry winter, very cold
+                            29: "#F0E68C",  # ET Tundra climate
+                            30: "#FFFFFF"   # EF Eternal Frost climate
+                                }
+
+                            
+                            
+                            m.add_cog_layer(image.value, colormap=custom_cmap, name=maps_list[1])
+                            m.add_legend(legend_title="Legenda", legend_dict=legend_dict, layer_name=maps_list[1], position="bottomleft")
+
+                        
+                        elif image.value == maps_values[5] or image.value == maps_values[6]:
+                            
+
+                            
+
+                            colors = cm.get_palette(cmap_name='inferno', hashtag=True)
+                            m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
+                            m.add_colorbar(colors= colors, vmin=0, vmax=40, position='bottomright', orientation='horizontal', label='°C', caption='Graus Celsius')
+                        elif image.value == maps_values[7]:
+                            
+                        
+
+                            colors = cm.get_palette(cmap_name='inferno', hashtag=True)
+                            m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
+                            m.add_colorbar(colors= colors, vmin=0, vmax=3000, position='bottomright', orientation='horizontal', label='mm', caption='Precipitação Anual')
+                        
+                            
+
+                        else:
+                                
+                            
+                                m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
+                                
+                                colors = cm.get_palette(cmap_name='inferno', hashtag=True)
+                                m.add_colorbar(colors= colors, vmin=0, vmax=365, position='bottomright', orientation='horizontal', label='Dias', caption='Dias no Ano')
+                            
+                                
+                        
+                        #image_date = get_image_date(image.value, m)
+                        
+                        output.outputs = ()
+                        #output.append_stdout(f"Image date: {image_date}\n")
+
+            image.observe(change_image, names="value")
+                
+            box = widgets.VBox(
+                [ ano,image, output]
+            )
+            m.add_widget(box, position="topright", add_header=False)
+
+
+class Map(leafmap.Map):
+        def __init__(self, **kwargs):
+            super().__init__(**kwargs)
+            #ee.Authenticate()
+            #ee.Initialize(project='ee-curso-gee-rhamon')
+            #self.add_ee_data()
+            
+
+            add_widgets(self)
+            self.add_layer_manager(opened= True)
+            #self.add_legend(legend_title="Legend", legend_dict=legend_dict, open=False)
+            #self.add_inspector()
+            
+            
+
+           
+
+        
+        
+        
+        
+
+@solara.component
+def Page():
+    with solara.Column(style={"min-width": "500px"}):
+        Map.element(
+            zoom=zoom.value,
+            on_zoom=zoom.set,
+            center=center.value,
+            on_center=center.set,
+            height="600px",
+            toolbar_ctrl=False,
+            data_ctrl=True,
+            add_google_map=True,
+        )

pages/02_Solos.py

@@ -1,241 +1,190 @@
-import os
-import leafmap
-import solara
-import ipywidgets as widgets
-from leafmap import leafmap
-import leafmap.colormaps as cm
-
-zoom = solara.reactive(2)
-center = solara.reactive((20, 0))
-
-
-
-maps = {
-                    'Most limiting soil quality rating factor': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ0_mze_v9aH.tif',
-                    "Nutrient retention capacity": 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ2_mze_v9aH.tif',
-                    "Rooting conditions" : 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ3_mze_v9aH.tif',
-                    'Soil and terrain suitability, rain-fed': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi2/siHr_sst_mze.tif'
-                }
-
-maps_list= list(maps)
-maps_values= list(maps.values())
-
-
-
-
-anos = list(range(2025, 2041))
-
-
-
-
-#municipios = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil'))
-#municipios_list = 
-
-# Get the list of municipality names
-#estados_list = [estados_list]
-
-
-
-
-
-
-
-legend_dict1 = {
-    "NA": "#FFFFFF",             # Branco
-    "0.0 - 0.1": "#8B0000",      # Vermelho escuro
-    "0.1 - 0.2": "#FF4500",      # Laranja avermelhado
-    "0.2 - 0.3": "#FFA500",      # Laranja
-    "0.3 - 0.4": "#FFD700",      # Amarelo dourado
-    "0.4 - 0.5": "#FFFF00",      # Amarelo
-    "0.5 - 0.6": "#ADFF2F",      # Verde amarelado
-    "0.6 - 0.7": "#7FFF00",      # Verde limão
-    "0.7 - 0.8": "#32CD32",      # Verde médio
-    "0.8 - 0.9": "#008000",      # Verde
-    "0.9 - 1.0": "#006400",      # Verde escuro
-    "Permafrost": "#B0C4DE",     # Cinza claro azulado
-    "Not evaluated": "#A9A9A9",  # Cinza escuro
-    "Water": "#0000FF",          # Azul
-}
-
-hex_colors_dict = {
-    0: "#FFFFFF",  # NA
-    1: "#8B0000",  # 0.0 - 0.1
-    2: "#FF4500",  # 0.1 - 0.2
-    3: "#FFA500",  # 0.2 - 0.3
-    4: "#FFD700",  # 0.3 - 0.4
-    5: "#FFFF00",  # 0.4 - 0.5
-    6: "#ADFF2F",  # 0.5 - 0.6
-    7: "#7FFF00",  # 0.6 - 0.7
-    8: "#32CD32",  # 0.7 - 0.8
-    9: "#008000",  # 0.8 - 0.9
-    10: "#006400",  # 0.9 - 1.0
-    11: "#B0C4DE",  # Permafrost
-    12: "#A9A9A9",  # Not evaluated
-    13: "#0000FF",  # Water
-}
-
-      
-    
-
-def add_widgets(m):
-            
-            
-            setattr(m, "zoom_to_layer", True)
-            style = {"description_width": "initial"}
-            padding = "0px 0px 0px 5px"
-
-            
-            
-
-            
-            
-            image = widgets.Dropdown(
-                value=None,
-                options=[('Most limiting soil quality rating factor', maps_values[0]),
-                        ('Nutrient retention capacity', maps_values[1]),
-                        ('Rooting conditions', maps_values[2]),
-                        ('Soil and terrain suitability, rain-fed', maps_values[3]),
-                            ],
-                description="Image:",
-                style=style,
-                layout=widgets.Layout(width="270px", padding=padding),
-            )
-
-            
-
-            output = widgets.Output()
-
-
-           
-            
-            
-
-            def change_image(change):
-                if change.new:
-                    if change.new not in m.get_layer_names():
-                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
-                        layer_list = m.get_layer_names()
-                        
-                        for layer in layer_list:
-                            m.remove_layer(m.find_layer(layer))
-                        #municipiosBR= 'https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2023/Brasil/BR_Municipios_2023.zip'
-                        #estadosBR = 'https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2023/Brasil/BR_UF_2023.zip'
-                        m.add_basemap("HYBRID")
-                        #m.add_shp(estadosBR, layer_name='EstadosBR')
-                        #m.add_shp(municipiosBR, layer_name='MunicipiosBR')
-                        #m.remove_legend()
-
-                        if image.value == maps_values[0]:
-                                    
-                            
-                            
-                            
-                            
-
-                            m.add_cog_layer(image.value, name= maps_list[0], colormap = hex_colors_dict, nodata =0)
-                            m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
-                            
-                             
-                            #municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value)).filter(ee.Filter.eq('ADM2_NAME', municipio.value))
-                        
-                            #m.add_layer(municipio_ee, name =municipio.value )
-                        
-                        elif image.value == maps_values[1]:
-                            
-                        
-
-                            m.add_cog_layer(image.value, name= maps_list[1], colormap = hex_colors_dict, nodata =0)
-                            m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
-                        
-                        elif image.value == maps_values[2]:
-
-                            
-
-                            m.add_cog_layer(image.value, name= maps_list[2], colormap = hex_colors_dict, nodata=0)
-                            m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
-                        
-                        elif image.value == maps_values[3]:
-                            colors_dict = {
-                                                0: "#FFFFFF10",  # Branco
-                                                1: "#006400",    # Verde escuro
-                                                2: "#008000",    # Verde
-                                                3: "#ADFF2F",    # Verde claro
-                                                4: "#FFFF00",    # Amarelo
-                                                5: "#DAA520",    # Dourado escuro
-                                                6: "#FF8C00",    # Laranja
-                                                7: "#A9A9A9",    # Cinza escuro
-                                                8: "#D3D3D3",    # Cinza claro
-                                                9: "#0000FF",    # Azul
-                                                10: "#FF0000"    # Vermelho
-                                            }
-                            legend_dict = {
-                                        "NA": "#FFFFFF",  # Branco
-                                        "SI > 75 : Very high": "#006400",  # Verde escuro
-                                        "SI > 63 : High": "#008000",       # Verde
-                                        "SI > 50 : Good": "#ADFF2F",       # Verde claro
-                                        "SI > 35 : Medium": "#FFFF00",     # Amarelo
-                                        "SI > 20 : Moderate": "#DAA520",   # Dourado escuro
-                                        "SI > 10 : Marginal": "#FF8C00",   # Laranja
-                                        "SI > 0 : Very marginal": "#A9A9A9",  # Cinza escuro
-                                        "Not suitable": "#D3D3D3",         # Cinza claro
-                                        "No cultivation": "#0000FF",       # Azul
-                                        "Water": "#FF0000"                 # Vermelho
-                                    }
-                             
-
-                            m.add_cog_layer(image.value, name= maps_list[3], colormap = colors_dict,nodata=0)
-                            m.add_legend(legend_title="Legend", legend_dict=legend_dict)
-                           
-                            
-
-                        
-                            
-                                
-                        
-                        #image_date = get_image_date(image.value, m)
-                        
-                    output.outputs = ()
-                        #output.append_stdout(f"Image date: {image_date}\n")
-
-            image.observe(change_image, names="value")
-                
-            box = widgets.VBox(
-                [ image, output]
-            )
-            m.add_widget(box, position="topright", add_header=False)
-
-
-class Map(leafmap.Map):
-        def __init__(self, **kwargs):
-            super().__init__(**kwargs)
-            #self.add_ee_data()
-            #ee.Authenticate()
-            #ee.Initialize(project='ee-curso-gee-rhamon')
-            add_widgets(self)
-            
-            self.add_layer_manager(opened= True)
-            #self.add_legend(legend_title="Legend", legend_dict=legend_dict)
-            #self.add_inspector()
-            
-
-        #def add_ee_data(self):
-
-                 
-
-        
-        
-        
-        
-
-@solara.component
-def Page():
-    with solara.Column(style={"min-width": "500px"}):
-        Map.element(
-            zoom=zoom.value,
-            on_zoom=zoom.set,
-            center=center.value,
-            on_center=center.set,
-            height="600px",
-            toolbar_ctrl=False,
-            data_ctrl=True,
-        )
+import os
+import leafmap
+import solara
+import ipywidgets as widgets
+from leafmap import leafmap
+import leafmap.colormaps as cm
+
+zoom = solara.reactive(2)
+center = solara.reactive((20, 0))
+
+
+
+maps = {
+                    'Most limiting soil quality rating factor': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ0_mze_v9aH.tif',
+                    "Nutrient retention capacity": 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ2_mze_v9aH.tif',
+                    "Rooting conditions" : 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ3_mze_v9aH.tif',
+                    'Soil and terrain suitability, rain-fed': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi2/siHr_sst_mze.tif'
+                }
+
+maps_list= list(maps)
+maps_values= list(maps.values())
+
+
+legend_dict1 = {
+    "NA": "#FFFFFF",             # Branco
+    "0.0 - 0.1": "#8B0000",      # Vermelho escuro
+    "0.1 - 0.2": "#FF4500",      # Laranja avermelhado
+    "0.2 - 0.3": "#FFA500",      # Laranja
+    "0.3 - 0.4": "#FFD700",      # Amarelo dourado
+    "0.4 - 0.5": "#FFFF00",      # Amarelo
+    "0.5 - 0.6": "#ADFF2F",      # Verde amarelado
+    "0.6 - 0.7": "#7FFF00",      # Verde limão
+    "0.7 - 0.8": "#32CD32",      # Verde médio
+    "0.8 - 0.9": "#008000",      # Verde
+    "0.9 - 1.0": "#006400",      # Verde escuro
+    "Permafrost": "#B0C4DE",     # Cinza claro azulado
+    "Not evaluated": "#A9A9A9",  # Cinza escuro
+    "Water": "#0000FF",          # Azul
+}
+
+hex_colors_dict = {
+    0: "#FFFFFF",  # NA
+    1: "#8B0000",  # 0.0 - 0.1
+    2: "#FF4500",  # 0.1 - 0.2
+    3: "#FFA500",  # 0.2 - 0.3
+    4: "#FFD700",  # 0.3 - 0.4
+    5: "#FFFF00",  # 0.4 - 0.5
+    6: "#ADFF2F",  # 0.5 - 0.6
+    7: "#7FFF00",  # 0.6 - 0.7
+    8: "#32CD32",  # 0.7 - 0.8
+    9: "#008000",  # 0.8 - 0.9
+    10: "#006400",  # 0.9 - 1.0
+    11: "#B0C4DE",  # Permafrost
+    12: "#A9A9A9",  # Not evaluated
+    13: "#0000FF",  # Water
+}
+
+      
+    
+
+def add_widgets(m):
+            
+            
+            setattr(m, "zoom_to_layer", True)
+            style = {"description_width": "initial"}
+            padding = "0px 0px 0px 5px"
+
+            
+            
+
+            
+            
+            image = widgets.Dropdown(
+                value=None,
+                options=[('Most limiting soil quality rating factor', maps_values[0]),
+                        ('Nutrient retention capacity', maps_values[1]),
+                        ('Rooting conditions', maps_values[2]),
+                        ('Soil and terrain suitability, rain-fed', maps_values[3]),
+                            ],
+                description="Image:",
+                style=style,
+                layout=widgets.Layout(width="270px", padding=padding),
+            )
+
+            
+
+            output = widgets.Output()
+
+
+           
+            
+            
+
+            def change_image(change):
+                if change.new:
+                    if change.new not in m.get_layer_names():
+                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
+                        layer_list = m.get_layer_names()
+                        
+                        for layer in layer_list:
+                            m.remove_layer(m.find_layer(layer))
+                        #municipiosBR= 'https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2023/Brasil/BR_Municipios_2023.zip'
+                        #estadosBR = 'https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2023/Brasil/BR_UF_2023.zip'
+                        m.add_basemap("HYBRID")
+                        #m.add_shp(estadosBR, layer_name='EstadosBR')
+                        #m.add_shp(municipiosBR, layer_name='MunicipiosBR')
+                        #m.remove_legend()
+
+                        if image.value == maps_values[0]:
+  
+                            m.add_cog_layer(image.value, name= maps_list[0], colormap = hex_colors_dict, nodata =0)
+                            m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
+        
+                        
+                        elif image.value == maps_values[1]:
+             
+                            m.add_cog_layer(image.value, name= maps_list[1], colormap = hex_colors_dict, nodata =0)
+                            m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
+                        
+                        elif image.value == maps_values[2]:
+
+                            m.add_cog_layer(image.value, name= maps_list[2], colormap = hex_colors_dict, nodata=0)
+                            m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
+                        
+                        elif image.value == maps_values[3]:
+                            colors_dict = {
+                                                0: "#FFFFFF10",  # Branco
+                                                1: "#006400",    # Verde escuro
+                                                2: "#008000",    # Verde
+                                                3: "#ADFF2F",    # Verde claro
+                                                4: "#FFFF00",    # Amarelo
+                                                5: "#DAA520",    # Dourado escuro
+                                                6: "#FF8C00",    # Laranja
+                                                7: "#A9A9A9",    # Cinza escuro
+                                                8: "#D3D3D3",    # Cinza claro
+                                                9: "#0000FF",    # Azul
+                                                10: "#FF0000"    # Vermelho
+                                            }
+                            legend_dict = {
+                                        "NA": "#FFFFFF",  # Branco
+                                        "SI > 75 : Very high": "#006400",  # Verde escuro
+                                        "SI > 63 : High": "#008000",       # Verde
+                                        "SI > 50 : Good": "#ADFF2F",       # Verde claro
+                                        "SI > 35 : Medium": "#FFFF00",     # Amarelo
+                                        "SI > 20 : Moderate": "#DAA520",   # Dourado escuro
+                                        "SI > 10 : Marginal": "#FF8C00",   # Laranja
+                                        "SI > 0 : Very marginal": "#A9A9A9",  # Cinza escuro
+                                        "Not suitable": "#D3D3D3",         # Cinza claro
+                                        "No cultivation": "#0000FF",       # Azul
+                                        "Water": "#FF0000"                 # Vermelho
+                                    }
+                             
+
+                            m.add_cog_layer(image.value, name= maps_list[3], colormap = colors_dict,nodata=0)
+                            m.add_legend(legend_title="Legend", legend_dict=legend_dict)
+   
+                        
+                    output.outputs = ()
+                        #output.append_stdout(f"Image date: {image_date}\n")
+
+            image.observe(change_image, names="value")
+                
+            box = widgets.VBox(
+                [ image, output]
+            )
+            m.add_widget(box, position="topright", add_header=False)
+
+
+class Map(leafmap.Map):
+        def __init__(self, **kwargs):
+            super().__init__(**kwargs)
+          
+            add_widgets(self)
+            
+            self.add_layer_manager(opened= True)
+                 
+
+    
+@solara.component
+def Page():
+    with solara.Column(style={"min-width": "500px"}):
+        Map.element(
+            zoom=zoom.value,
+            on_zoom=zoom.set,
+            center=center.value,
+            on_center=center.set,
+            height="600px",
+            toolbar_ctrl=False,
+            data_ctrl=True,
+        )

pages/03_Culturas.py

@@ -0,0 +1,132 @@
+import os
+import leafmap
+import solara
+import ipywidgets as widgets
+from leafmap import leafmap
+import leafmap.colormaps as cm
+
+zoom = solara.reactive(2)
+center = solara.reactive((20, 0))
+
+
+
+maps = {
+                    'Milho - Potencial Produtivo Agro-Climático com somente chuva (2011-2040)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res02/HadGEM2-ES/rcp4p5/2020sH/maiz200b_yld.tif',
+                    "Café Arabica - Potencial Produtivo Agro-Climático com somente chuva (2011-2040)": 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res02/MIROC-ESM-CHEM/rcp8p5/2020sH/cofa200b_yld.tif',
+                    "Citrus - Potencial Produtivo Agro-Climático com somente chuva (2011-2040)" : 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res02/HadGEM2-ES/rcp2p6/2020sH/citr200b_yld.tif',
+                    'Cana de Açúcar - Potencial Produtivo Agro-Climático com somente chuva (2011-2040)': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res02/NorESM1-M/rcp2p6/2020sH/sugc200b_yld.tif'
+                }
+
+maps_list= list(maps)
+maps_values= list(maps.values())
+
+    
+
+def add_widgets(m):
+            
+            
+            setattr(m, "zoom_to_layer", True)
+            style = {"description_width": "initial"}
+            padding = "0px 0px 0px 5px"
+
+
+            
+            image = widgets.Dropdown(
+                value=None,
+                options=[('Milho - Potencial Produtivo Agro-Climático com somente chuva (2011-2040)', maps_values[0]),
+                        ('Café Arabica - Potencial Produtivo Agro-Climático com somente chuva (2011-2040)', maps_values[1]),
+                        ('Citrus - Potencial Produtivo Agro-Climático com somente chuva (2011-2040)', maps_values[2]),
+                        ('Cana de Açúcar - Potencial Produtivo Agro-Climático com somente chuva (2011-2040)', maps_values[3]),
+                            ],
+                description="Image:",
+                style=style,
+                layout=widgets.Layout(width="270px", padding=padding),
+            )
+
+            
+
+            output = widgets.Output()
+
+
+            def change_image(change):
+                if change.new:
+                    if change.new not in m.get_layer_names():
+                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
+                        layer_list = m.get_layer_names()
+                        
+                        for layer in layer_list:
+                            m.remove_layer(m.find_layer(layer))
+                        #municipiosBR= 'https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2023/Brasil/BR_Municipios_2023.zip'
+                        #estadosBR = 'https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2023/Brasil/BR_UF_2023.zip'
+                        m.add_basemap("HYBRID")
+                        #m.add_shp(estadosBR, layer_name='EstadosBR')
+                        #m.add_shp(municipiosBR, layer_name='MunicipiosBR')
+                        #m.remove_legend()
+
+                        if image.value == maps_values[0]:
+                 
+
+                            m.add_cog_layer(image.value, name= maps_list[0], palette = 'RdYlGn')
+                           
+                            
+                        
+                        elif image.value == maps_values[1]:
+                            
+                        
+
+                            m.add_cog_layer(image.value, name= maps_list[1], palette = 'RdYlGn')
+                            
+                        
+                        elif image.value == maps_values[2]:
+
+                            
+
+                            m.add_cog_layer(image.value, name= maps_list[2], palette = 'RdYlGn')
+                            
+                        
+                        elif image.value == maps_values[3]:
+                            
+
+                            m.add_cog_layer(image.value, name= maps_list[3], palette = 'RdYlGn')
+                            
+
+                    output.outputs = ()
+                        #output.append_stdout(f"Image date: {image_date}\n")
+
+            image.observe(change_image, names="value")
+                
+            box = widgets.VBox(
+                [ image, output]
+            )
+            m.add_widget(box, position="topright", add_header=False)
+
+
+class Map(leafmap.Map):
+        def __init__(self, **kwargs):
+            super().__init__(**kwargs)
+            
+            add_widgets(self)
+            
+            self.add_layer_manager(opened= True)
+            self.add_colorbar(colors=cm.get_palette(cmap_name='RdYlGn', n_class=10) , vmin=0, vmax=10000.0, caption= 'Potencial Produtivo Agro-Climático (kg Massa Seca/ha)')
+            
+
+                 
+
+        
+        
+        
+        
+
+@solara.component
+def Page():
+    with solara.Column(style={"min-width": "500px"}):
+        Map.element(
+            zoom=zoom.value,
+            on_zoom=zoom.set,
+            center=center.value,
+            on_center=center.set,
+            height="600px",
+            toolbar_ctrl=False,
+            data_ctrl=True,
+        )

requirements.txt

@@ -4,3 +4,4 @@ solara
 plotly
 leafmap>=0.42.3
 setuptools
+xarray