resolver cursor appearance

asim/raw/CLP/2024-01-27/field_ff/032d1377f2fa6d1202a48e16a92520a9/request.json

@@ -0,0 +1,65 @@
+{
+    "request": {
+        "headers": {
+            "accept": "image/tiff",
+            "content-type": "application/json"
+        },
+        "payload": {
+            "evalscript": "     //VERSION=3\n     function setup(){\n        return{\n          input: [\"CLP\"],\n          output: [\n            {\n              sampleType: \"FLOAT32\",\n              bands: 1\n            }\n        ]\n        }\n      }\n      \n      function evaluatePixel(sample){\n        return [sample.CLP/255];\n      }",
+            "input": {
+                "bounds": {
+                    "bbox": [
+                        32.673923,
+                        15.57317,
+                        32.686146,
+                        15.586796
+                    ],
+                    "properties": {
+                        "crs": "http://www.opengis.net/def/crs/EPSG/0/4326"
+                    }
+                },
+                "data": [
+                    {
+                        "dataFilter": {
+                            "timeRange": {
+                                "from": "2024-01-27T00:00:00Z",
+                                "to": "2024-01-27T23:59:59Z"
+                            }
+                        },
+                        "type": "sentinel-2-l1c"
+                    }
+                ]
+            },
+            "output": {
+                "height": 151,
+                "responses": [
+                    {
+                        "format": {
+                            "type": "image/tiff"
+                        },
+                        "identifier": "default"
+                    }
+                ],
+                "width": 131
+            }
+        },
+        "timestamp": "2024-04-24T14:46:40.508929",
+        "url": "https://services.sentinel-hub.com/api/v1/process"
+    },
+    "response": {
+        "elapsed": 0.91394,
+        "headers": {
+            "Connection": "keep-alive",
+            "Content-Length": "2739",
+            "Content-Type": "image/tiff",
+            "Date": "Wed, 24 Apr 2024 12:46:40 GMT",
+            "access-control-allow-credentials": "true",
+            "access-control-allow-headers": "origin,content-type,accept,accept-crs,authorization,cache-control",
+            "access-control-allow-methods": "GET, POST, PUT, DELETE, OPTIONS, HEAD, PATCH",
+            "access-control-allow-origin": "*",
+            "access-control-max-age": "3600",
+            "x-processingunits-spent": "0.05030568590677831"
+        },
+        "status_code": 200
+    }
+}

asim/raw/CLP/2024-04-21/field_ff/531d598c745c611b00066c8ef45bd470/request.json

@@ -0,0 +1,65 @@
+{
+    "request": {
+        "headers": {
+            "accept": "image/tiff",
+            "content-type": "application/json"
+        },
+        "payload": {
+            "evalscript": "     //VERSION=3\n     function setup(){\n        return{\n          input: [\"CLP\"],\n          output: [\n            {\n              sampleType: \"FLOAT32\",\n              bands: 1\n            }\n        ]\n        }\n      }\n      \n      function evaluatePixel(sample){\n        return [sample.CLP/255];\n      }",
+            "input": {
+                "bounds": {
+                    "bbox": [
+                        32.673923,
+                        15.57317,
+                        32.686146,
+                        15.586796
+                    ],
+                    "properties": {
+                        "crs": "http://www.opengis.net/def/crs/EPSG/0/4326"
+                    }
+                },
+                "data": [
+                    {
+                        "dataFilter": {
+                            "timeRange": {
+                                "from": "2024-04-21T00:00:00Z",
+                                "to": "2024-04-21T23:59:59Z"
+                            }
+                        },
+                        "type": "sentinel-2-l1c"
+                    }
+                ]
+            },
+            "output": {
+                "height": 151,
+                "responses": [
+                    {
+                        "format": {
+                            "type": "image/tiff"
+                        },
+                        "identifier": "default"
+                    }
+                ],
+                "width": 131
+            }
+        },
+        "timestamp": "2024-04-24T14:44:30.134052",
+        "url": "https://services.sentinel-hub.com/api/v1/process"
+    },
+    "response": {
+        "elapsed": 0.947234,
+        "headers": {
+            "Connection": "keep-alive",
+            "Content-Length": "2392",
+            "Content-Type": "image/tiff",
+            "Date": "Wed, 24 Apr 2024 12:44:30 GMT",
+            "access-control-allow-credentials": "true",
+            "access-control-allow-headers": "origin,content-type,accept,accept-crs,authorization,cache-control",
+            "access-control-allow-methods": "GET, POST, PUT, DELETE, OPTIONS, HEAD, PATCH",
+            "access-control-allow-origin": "*",
+            "access-control-max-age": "3600",
+            "x-processingunits-spent": "0.05030568590677831"
+        },
+        "status_code": 200
+    }
+}

asim/raw/NDVI/2024-01-17/field_ff/ee56ad56e173dfa1c5c07bfac4c7eb53/request.json

@@ -0,0 +1,65 @@
+{
+    "request": {
+        "headers": {
+            "accept": "image/tiff",
+            "content-type": "application/json"
+        },
+        "payload": {
+            "evalscript": "//VERSION=3\n\nvar degToRad = Math.PI / 180;\n\nfunction evaluatePixelOrig(samples) {\n    var sample = samples[0];\n    var b03_norm = normalize(sample.B03, 0, 0.253061520471542);\n    var b04_norm = normalize(sample.B04, 0, 0.290393577911328);\n    var b05_norm = normalize(sample.B05, 0, 0.305398915248555);\n    var b06_norm = normalize(sample.B06, 0.006637972542253, 0.608900395797889);\n    var b07_norm = normalize(sample.B07, 0.013972727018939, 0.753827384322927);\n    var b8a_norm = normalize(sample.B8A, 0.026690138082061, 0.782011770669178);\n    var b11_norm = normalize(sample.B11, 0.016388074192258, 0.493761397883092);\n    var b12_norm = normalize(sample.B12, 0, 0.493025984460231);\n    var viewZen_norm = normalize(Math.cos(sample.viewZenithMean * degToRad), 0.918595400582046, 1);\n    var sunZen_norm  = normalize(Math.cos(sample.sunZenithAngles * degToRad), 0.342022871159208, 0.936206429175402);\n    var relAzim_norm = Math.cos((sample.sunAzimuthAngles - sample.viewAzimuthMean) * degToRad)\n  \n    var n1 = neuron1(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n2 = neuron2(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n3 = neuron3(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n4 = neuron4(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n5 = neuron5(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n  \n    var l2 = layer2(n1, n2, n3, n4, n5);\n  \n    var lai = denormalize(l2, 0.000319182538301, 14.4675094548151);\n    return {\n      default: [lai]\n    }\n}\n\nfunction neuron1(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n        + 4.96238030555279\n        - 0.023406878966470 * b03_norm\n        + 0.921655164636366 * b04_norm\n        + 0.135576544080099 * b05_norm\n        - 1.938331472397950 * b06_norm\n        - 3.342495816122680 * b07_norm\n        + 0.902277648009576 * b8a_norm\n        + 0.205363538258614 * b11_norm\n        - 0.040607844721716 * b12_norm\n        - 0.083196409727092 * viewZen_norm\n        + 0.260029270773809 * sunZen_norm\n        + 0.284761567218845 * relAzim_norm;\n\n    return tansig(sum);\n}\n\nfunction neuron2(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 1.416008443981500\n      - 0.132555480856684 * b03_norm\n      - 0.139574837333540 * b04_norm\n      - 1.014606016898920 * b05_norm\n      - 1.330890038649270 * b06_norm\n      + 0.031730624503341 * b07_norm\n      - 1.433583541317050 * b8a_norm\n      - 0.959637898574699 * b11_norm\n      + 1.133115706551000 * b12_norm\n      + 0.216603876541632 * viewZen_norm\n      + 0.410652303762839 * sunZen_norm\n      + 0.064760155543506 * relAzim_norm;\n  \n    return tansig(sum);\n}\n\nfunction neuron3(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n        + 1.075897047213310\n        + 0.086015977724868 * b03_norm\n        + 0.616648776881434 * b04_norm\n        + 0.678003876446556 * b05_norm\n        + 0.141102398644968 * b06_norm\n        - 0.096682206883546 * b07_norm\n        - 1.128832638862200 * b8a_norm\n        + 0.302189102741375 * b11_norm\n        + 0.434494937299725 * b12_norm\n        - 0.021903699490589 * viewZen_norm\n        - 0.228492476802263 * sunZen_norm\n        - 0.039460537589826 * relAzim_norm;\n\n    return tansig(sum);\n}\n  \nfunction neuron4(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 1.533988264655420\n      - 0.109366593670404 * b03_norm\n      - 0.071046262972729 * b04_norm\n      + 0.064582411478320 * b05_norm\n      + 2.906325236823160 * b06_norm\n      - 0.673873108979163 * b07_norm\n      - 3.838051868280840 * b8a_norm\n      + 1.695979344531530 * b11_norm\n      + 0.046950296081713 * b12_norm\n      - 0.049709652688365 * viewZen_norm\n      + 0.021829545430994 * sunZen_norm\n      + 0.057483827104091 * relAzim_norm;\n  \n    return tansig(sum);\n}\n  \nfunction neuron5(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 3.024115930757230\n      - 0.089939416159969 * b03_norm\n      + 0.175395483106147 * b04_norm\n      - 0.081847329172620 * b05_norm\n      + 2.219895367487790 * b06_norm\n      + 1.713873975136850 * b07_norm\n      + 0.713069186099534 * b8a_norm\n      + 0.138970813499201 * b11_norm\n      - 0.060771761518025 * b12_norm\n      + 0.124263341255473 * viewZen_norm\n      + 0.210086140404351 * sunZen_norm\n      - 0.183878138700341 * relAzim_norm;\n  \n    return tansig(sum);\n}\n  \nfunction layer2(neuron1, neuron2, neuron3, neuron4, neuron5) {\n    var sum =\n      + 1.096963107077220\n      - 1.500135489728730 * neuron1\n      - 0.096283269121503 * neuron2\n      - 0.194935930577094 * neuron3\n      - 0.352305895755591 * neuron4\n      + 0.075107415847473 * neuron5;\n  \n    return sum;\n}\n  \nfunction normalize(unnormalized, min, max) {\n    return 2 * (unnormalized - min) / (max - min) - 1;\n}\n\nfunction denormalize(normalized, min, max) {\n    return 0.5 * (normalized + 1) * (max - min) + min;\n}\n  \nfunction tansig(input) {\n    return 2 / (1 + Math.exp(-2 * input)) - 1; \n}\n  \nfunction setup() {\n    return {\n      input: [{\n        bands: [\n            \"B03\",\n            \"B04\",\n            \"B05\",\n            \"B06\",\n            \"B07\",\n            \"B8A\",\n            \"B11\",\n            \"B12\",\n            \"viewZenithMean\",\n            \"viewAzimuthMean\",\n            \"sunZenithAngles\",\n            \"sunAzimuthAngles\"\n        ],\n        units: [\"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"DEGREES\", \"DEGREES\", \"DEGREES\", \"DEGREES\"]\n      }],\n      output: [\n          {\n            id: \"default\",\n            sampleType: \"FLOAT32\",\n            bands: 1\n          }\n      ]\n    }\n}\n\nfunction evaluatePixel(sample, scene, metadata, customData, outputMetadata) {\n  const result = evaluatePixelOrig([sample], [scene], metadata, customData, outputMetadata);\n  return result[Object.keys(result)[0]];\n}",
+            "input": {
+                "bounds": {
+                    "bbox": [
+                        32.673923,
+                        15.57317,
+                        32.686146,
+                        15.586796
+                    ],
+                    "properties": {
+                        "crs": "http://www.opengis.net/def/crs/EPSG/0/4326"
+                    }
+                },
+                "data": [
+                    {
+                        "dataFilter": {
+                            "timeRange": {
+                                "from": "2024-01-17T00:00:00Z",
+                                "to": "2024-01-17T23:59:59Z"
+                            }
+                        },
+                        "type": "sentinel-2-l1c"
+                    }
+                ]
+            },
+            "output": {
+                "height": 151,
+                "responses": [
+                    {
+                        "format": {
+                            "type": "image/tiff"
+                        },
+                        "identifier": "default"
+                    }
+                ],
+                "width": 131
+            }
+        },
+        "timestamp": "2024-04-24T14:46:33.541986",
+        "url": "https://services.sentinel-hub.com/api/v1/process"
+    },
+    "response": {
+        "elapsed": 1.732008,
+        "headers": {
+            "Connection": "keep-alive",
+            "Content-Type": "image/tiff",
+            "Date": "Wed, 24 Apr 2024 12:46:32 GMT",
+            "Transfer-Encoding": "chunked",
+            "access-control-allow-credentials": "true",
+            "access-control-allow-headers": "origin,content-type,accept,accept-crs,authorization,cache-control",
+            "access-control-allow-methods": "GET, POST, PUT, DELETE, OPTIONS, HEAD, PATCH",
+            "access-control-allow-origin": "*",
+            "access-control-max-age": "3600",
+            "x-processingunits-spent": "0.603668212890625"
+        },
+        "status_code": 200
+    }
+}

asim/raw/NDVI/2024-01-27/field_ff/9910373190a2a58172d3bbbd76a84e3e/request.json

@@ -0,0 +1,65 @@
+{
+    "request": {
+        "headers": {
+            "accept": "image/tiff",
+            "content-type": "application/json"
+        },
+        "payload": {
+            "evalscript": "//VERSION=3\n\nvar degToRad = Math.PI / 180;\n\nfunction evaluatePixelOrig(samples) {\n    var sample = samples[0];\n    var b03_norm = normalize(sample.B03, 0, 0.253061520471542);\n    var b04_norm = normalize(sample.B04, 0, 0.290393577911328);\n    var b05_norm = normalize(sample.B05, 0, 0.305398915248555);\n    var b06_norm = normalize(sample.B06, 0.006637972542253, 0.608900395797889);\n    var b07_norm = normalize(sample.B07, 0.013972727018939, 0.753827384322927);\n    var b8a_norm = normalize(sample.B8A, 0.026690138082061, 0.782011770669178);\n    var b11_norm = normalize(sample.B11, 0.016388074192258, 0.493761397883092);\n    var b12_norm = normalize(sample.B12, 0, 0.493025984460231);\n    var viewZen_norm = normalize(Math.cos(sample.viewZenithMean * degToRad), 0.918595400582046, 1);\n    var sunZen_norm  = normalize(Math.cos(sample.sunZenithAngles * degToRad), 0.342022871159208, 0.936206429175402);\n    var relAzim_norm = Math.cos((sample.sunAzimuthAngles - sample.viewAzimuthMean) * degToRad)\n  \n    var n1 = neuron1(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n2 = neuron2(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n3 = neuron3(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n4 = neuron4(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n5 = neuron5(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n  \n    var l2 = layer2(n1, n2, n3, n4, n5);\n  \n    var lai = denormalize(l2, 0.000319182538301, 14.4675094548151);\n    return {\n      default: [lai]\n    }\n}\n\nfunction neuron1(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n        + 4.96238030555279\n        - 0.023406878966470 * b03_norm\n        + 0.921655164636366 * b04_norm\n        + 0.135576544080099 * b05_norm\n        - 1.938331472397950 * b06_norm\n        - 3.342495816122680 * b07_norm\n        + 0.902277648009576 * b8a_norm\n        + 0.205363538258614 * b11_norm\n        - 0.040607844721716 * b12_norm\n        - 0.083196409727092 * viewZen_norm\n        + 0.260029270773809 * sunZen_norm\n        + 0.284761567218845 * relAzim_norm;\n\n    return tansig(sum);\n}\n\nfunction neuron2(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 1.416008443981500\n      - 0.132555480856684 * b03_norm\n      - 0.139574837333540 * b04_norm\n      - 1.014606016898920 * b05_norm\n      - 1.330890038649270 * b06_norm\n      + 0.031730624503341 * b07_norm\n      - 1.433583541317050 * b8a_norm\n      - 0.959637898574699 * b11_norm\n      + 1.133115706551000 * b12_norm\n      + 0.216603876541632 * viewZen_norm\n      + 0.410652303762839 * sunZen_norm\n      + 0.064760155543506 * relAzim_norm;\n  \n    return tansig(sum);\n}\n\nfunction neuron3(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n        + 1.075897047213310\n        + 0.086015977724868 * b03_norm\n        + 0.616648776881434 * b04_norm\n        + 0.678003876446556 * b05_norm\n        + 0.141102398644968 * b06_norm\n        - 0.096682206883546 * b07_norm\n        - 1.128832638862200 * b8a_norm\n        + 0.302189102741375 * b11_norm\n        + 0.434494937299725 * b12_norm\n        - 0.021903699490589 * viewZen_norm\n        - 0.228492476802263 * sunZen_norm\n        - 0.039460537589826 * relAzim_norm;\n\n    return tansig(sum);\n}\n  \nfunction neuron4(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 1.533988264655420\n      - 0.109366593670404 * b03_norm\n      - 0.071046262972729 * b04_norm\n      + 0.064582411478320 * b05_norm\n      + 2.906325236823160 * b06_norm\n      - 0.673873108979163 * b07_norm\n      - 3.838051868280840 * b8a_norm\n      + 1.695979344531530 * b11_norm\n      + 0.046950296081713 * b12_norm\n      - 0.049709652688365 * viewZen_norm\n      + 0.021829545430994 * sunZen_norm\n      + 0.057483827104091 * relAzim_norm;\n  \n    return tansig(sum);\n}\n  \nfunction neuron5(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 3.024115930757230\n      - 0.089939416159969 * b03_norm\n      + 0.175395483106147 * b04_norm\n      - 0.081847329172620 * b05_norm\n      + 2.219895367487790 * b06_norm\n      + 1.713873975136850 * b07_norm\n      + 0.713069186099534 * b8a_norm\n      + 0.138970813499201 * b11_norm\n      - 0.060771761518025 * b12_norm\n      + 0.124263341255473 * viewZen_norm\n      + 0.210086140404351 * sunZen_norm\n      - 0.183878138700341 * relAzim_norm;\n  \n    return tansig(sum);\n}\n  \nfunction layer2(neuron1, neuron2, neuron3, neuron4, neuron5) {\n    var sum =\n      + 1.096963107077220\n      - 1.500135489728730 * neuron1\n      - 0.096283269121503 * neuron2\n      - 0.194935930577094 * neuron3\n      - 0.352305895755591 * neuron4\n      + 0.075107415847473 * neuron5;\n  \n    return sum;\n}\n  \nfunction normalize(unnormalized, min, max) {\n    return 2 * (unnormalized - min) / (max - min) - 1;\n}\n\nfunction denormalize(normalized, min, max) {\n    return 0.5 * (normalized + 1) * (max - min) + min;\n}\n  \nfunction tansig(input) {\n    return 2 / (1 + Math.exp(-2 * input)) - 1; \n}\n  \nfunction setup() {\n    return {\n      input: [{\n        bands: [\n            \"B03\",\n            \"B04\",\n            \"B05\",\n            \"B06\",\n            \"B07\",\n            \"B8A\",\n            \"B11\",\n            \"B12\",\n            \"viewZenithMean\",\n            \"viewAzimuthMean\",\n            \"sunZenithAngles\",\n            \"sunAzimuthAngles\"\n        ],\n        units: [\"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"DEGREES\", \"DEGREES\", \"DEGREES\", \"DEGREES\"]\n      }],\n      output: [\n          {\n            id: \"default\",\n            sampleType: \"FLOAT32\",\n            bands: 1\n          }\n      ]\n    }\n}\n\nfunction evaluatePixel(sample, scene, metadata, customData, outputMetadata) {\n  const result = evaluatePixelOrig([sample], [scene], metadata, customData, outputMetadata);\n  return result[Object.keys(result)[0]];\n}",
+            "input": {
+                "bounds": {
+                    "bbox": [
+                        32.673923,
+                        15.57317,
+                        32.686146,
+                        15.586796
+                    ],
+                    "properties": {
+                        "crs": "http://www.opengis.net/def/crs/EPSG/0/4326"
+                    }
+                },
+                "data": [
+                    {
+                        "dataFilter": {
+                            "timeRange": {
+                                "from": "2024-01-27T00:00:00Z",
+                                "to": "2024-01-27T23:59:59Z"
+                            }
+                        },
+                        "type": "sentinel-2-l1c"
+                    }
+                ]
+            },
+            "output": {
+                "height": 151,
+                "responses": [
+                    {
+                        "format": {
+                            "type": "image/tiff"
+                        },
+                        "identifier": "default"
+                    }
+                ],
+                "width": 131
+            }
+        },
+        "timestamp": "2024-04-24T14:46:33.300550",
+        "url": "https://services.sentinel-hub.com/api/v1/process"
+    },
+    "response": {
+        "elapsed": 1.732532,
+        "headers": {
+            "Connection": "keep-alive",
+            "Content-Type": "image/tiff",
+            "Date": "Wed, 24 Apr 2024 12:46:32 GMT",
+            "Transfer-Encoding": "chunked",
+            "access-control-allow-credentials": "true",
+            "access-control-allow-headers": "origin,content-type,accept,accept-crs,authorization,cache-control",
+            "access-control-allow-methods": "GET, POST, PUT, DELETE, OPTIONS, HEAD, PATCH",
+            "access-control-allow-origin": "*",
+            "access-control-max-age": "3600",
+            "x-processingunits-spent": "0.603668212890625"
+        },
+        "status_code": 200
+    }
+}

asim/raw/NDVI/2024-04-21/field_ff/949ebfab4bb451073b8380e1fc1eb69b/request.json

@@ -0,0 +1,65 @@
+{
+    "request": {
+        "headers": {
+            "accept": "image/tiff",
+            "content-type": "application/json"
+        },
+        "payload": {
+            "evalscript": "//VERSION=3\n\nvar degToRad = Math.PI / 180;\n\nfunction evaluatePixelOrig(samples) {\n    var sample = samples[0];\n    var b03_norm = normalize(sample.B03, 0, 0.253061520471542);\n    var b04_norm = normalize(sample.B04, 0, 0.290393577911328);\n    var b05_norm = normalize(sample.B05, 0, 0.305398915248555);\n    var b06_norm = normalize(sample.B06, 0.006637972542253, 0.608900395797889);\n    var b07_norm = normalize(sample.B07, 0.013972727018939, 0.753827384322927);\n    var b8a_norm = normalize(sample.B8A, 0.026690138082061, 0.782011770669178);\n    var b11_norm = normalize(sample.B11, 0.016388074192258, 0.493761397883092);\n    var b12_norm = normalize(sample.B12, 0, 0.493025984460231);\n    var viewZen_norm = normalize(Math.cos(sample.viewZenithMean * degToRad), 0.918595400582046, 1);\n    var sunZen_norm  = normalize(Math.cos(sample.sunZenithAngles * degToRad), 0.342022871159208, 0.936206429175402);\n    var relAzim_norm = Math.cos((sample.sunAzimuthAngles - sample.viewAzimuthMean) * degToRad)\n  \n    var n1 = neuron1(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n2 = neuron2(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n3 = neuron3(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n4 = neuron4(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n    var n5 = neuron5(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm);\n  \n    var l2 = layer2(n1, n2, n3, n4, n5);\n  \n    var lai = denormalize(l2, 0.000319182538301, 14.4675094548151);\n    return {\n      default: [lai]\n    }\n}\n\nfunction neuron1(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n        + 4.96238030555279\n        - 0.023406878966470 * b03_norm\n        + 0.921655164636366 * b04_norm\n        + 0.135576544080099 * b05_norm\n        - 1.938331472397950 * b06_norm\n        - 3.342495816122680 * b07_norm\n        + 0.902277648009576 * b8a_norm\n        + 0.205363538258614 * b11_norm\n        - 0.040607844721716 * b12_norm\n        - 0.083196409727092 * viewZen_norm\n        + 0.260029270773809 * sunZen_norm\n        + 0.284761567218845 * relAzim_norm;\n\n    return tansig(sum);\n}\n\nfunction neuron2(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 1.416008443981500\n      - 0.132555480856684 * b03_norm\n      - 0.139574837333540 * b04_norm\n      - 1.014606016898920 * b05_norm\n      - 1.330890038649270 * b06_norm\n      + 0.031730624503341 * b07_norm\n      - 1.433583541317050 * b8a_norm\n      - 0.959637898574699 * b11_norm\n      + 1.133115706551000 * b12_norm\n      + 0.216603876541632 * viewZen_norm\n      + 0.410652303762839 * sunZen_norm\n      + 0.064760155543506 * relAzim_norm;\n  \n    return tansig(sum);\n}\n\nfunction neuron3(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n        + 1.075897047213310\n        + 0.086015977724868 * b03_norm\n        + 0.616648776881434 * b04_norm\n        + 0.678003876446556 * b05_norm\n        + 0.141102398644968 * b06_norm\n        - 0.096682206883546 * b07_norm\n        - 1.128832638862200 * b8a_norm\n        + 0.302189102741375 * b11_norm\n        + 0.434494937299725 * b12_norm\n        - 0.021903699490589 * viewZen_norm\n        - 0.228492476802263 * sunZen_norm\n        - 0.039460537589826 * relAzim_norm;\n\n    return tansig(sum);\n}\n  \nfunction neuron4(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 1.533988264655420\n      - 0.109366593670404 * b03_norm\n      - 0.071046262972729 * b04_norm\n      + 0.064582411478320 * b05_norm\n      + 2.906325236823160 * b06_norm\n      - 0.673873108979163 * b07_norm\n      - 3.838051868280840 * b8a_norm\n      + 1.695979344531530 * b11_norm\n      + 0.046950296081713 * b12_norm\n      - 0.049709652688365 * viewZen_norm\n      + 0.021829545430994 * sunZen_norm\n      + 0.057483827104091 * relAzim_norm;\n  \n    return tansig(sum);\n}\n  \nfunction neuron5(b03_norm,b04_norm,b05_norm,b06_norm,b07_norm,b8a_norm,b11_norm,b12_norm, viewZen_norm,sunZen_norm,relAzim_norm) {\n    var sum =\n      + 3.024115930757230\n      - 0.089939416159969 * b03_norm\n      + 0.175395483106147 * b04_norm\n      - 0.081847329172620 * b05_norm\n      + 2.219895367487790 * b06_norm\n      + 1.713873975136850 * b07_norm\n      + 0.713069186099534 * b8a_norm\n      + 0.138970813499201 * b11_norm\n      - 0.060771761518025 * b12_norm\n      + 0.124263341255473 * viewZen_norm\n      + 0.210086140404351 * sunZen_norm\n      - 0.183878138700341 * relAzim_norm;\n  \n    return tansig(sum);\n}\n  \nfunction layer2(neuron1, neuron2, neuron3, neuron4, neuron5) {\n    var sum =\n      + 1.096963107077220\n      - 1.500135489728730 * neuron1\n      - 0.096283269121503 * neuron2\n      - 0.194935930577094 * neuron3\n      - 0.352305895755591 * neuron4\n      + 0.075107415847473 * neuron5;\n  \n    return sum;\n}\n  \nfunction normalize(unnormalized, min, max) {\n    return 2 * (unnormalized - min) / (max - min) - 1;\n}\n\nfunction denormalize(normalized, min, max) {\n    return 0.5 * (normalized + 1) * (max - min) + min;\n}\n  \nfunction tansig(input) {\n    return 2 / (1 + Math.exp(-2 * input)) - 1; \n}\n  \nfunction setup() {\n    return {\n      input: [{\n        bands: [\n            \"B03\",\n            \"B04\",\n            \"B05\",\n            \"B06\",\n            \"B07\",\n            \"B8A\",\n            \"B11\",\n            \"B12\",\n            \"viewZenithMean\",\n            \"viewAzimuthMean\",\n            \"sunZenithAngles\",\n            \"sunAzimuthAngles\"\n        ],\n        units: [\"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"REFLECTANCE\", \"DEGREES\", \"DEGREES\", \"DEGREES\", \"DEGREES\"]\n      }],\n      output: [\n          {\n            id: \"default\",\n            sampleType: \"FLOAT32\",\n            bands: 1\n          }\n      ]\n    }\n}\n\nfunction evaluatePixel(sample, scene, metadata, customData, outputMetadata) {\n  const result = evaluatePixelOrig([sample], [scene], metadata, customData, outputMetadata);\n  return result[Object.keys(result)[0]];\n}",
+            "input": {
+                "bounds": {
+                    "bbox": [
+                        32.673923,
+                        15.57317,
+                        32.686146,
+                        15.586796
+                    ],
+                    "properties": {
+                        "crs": "http://www.opengis.net/def/crs/EPSG/0/4326"
+                    }
+                },
+                "data": [
+                    {
+                        "dataFilter": {
+                            "timeRange": {
+                                "from": "2024-04-21T00:00:00Z",
+                                "to": "2024-04-21T23:59:59Z"
+                            }
+                        },
+                        "type": "sentinel-2-l1c"
+                    }
+                ]
+            },
+            "output": {
+                "height": 151,
+                "responses": [
+                    {
+                        "format": {
+                            "type": "image/tiff"
+                        },
+                        "identifier": "default"
+                    }
+                ],
+                "width": 131
+            }
+        },
+        "timestamp": "2024-04-24T14:44:25.961359",
+        "url": "https://services.sentinel-hub.com/api/v1/process"
+    },
+    "response": {
+        "elapsed": 1.736811,
+        "headers": {
+            "Connection": "keep-alive",
+            "Content-Type": "image/tiff",
+            "Date": "Wed, 24 Apr 2024 12:44:25 GMT",
+            "Transfer-Encoding": "chunked",
+            "access-control-allow-credentials": "true",
+            "access-control-allow-headers": "origin,content-type,accept,accept-crs,authorization,cache-control",
+            "access-control-allow-methods": "GET, POST, PUT, DELETE, OPTIONS, HEAD, PATCH",
+            "access-control-allow-origin": "*",
+            "access-control-max-age": "3600",
+            "x-processingunits-spent": "0.603668212890625"
+        },
+        "status_code": 200
+    }
+}

pag/edit.py

@@ -17,6 +17,11 @@ def add_properties(df, col_name, value, field_name):
     return df
 
 def select_field(gdf):
+    st.markdown("""
+            <style>
+            .stSelectbox > div > div {cursor: pointer;}
+            </style>
+            """, unsafe_allow_html=True)
     names = gdf['name'].tolist()
     names.append("Select Field")
     field_name = st.selectbox("Select Field", options=names, key="field_name_edit", help="Select the field to edit", index=len(names)-1)

pag/monitor.py

@@ -29,6 +29,11 @@ config.sh_client_secret  = 'KvbQMKZB85ZWEgWuxqiWIVEvTAQEfoF9'
 
 
 def select_field(gdf):
+    st.markdown("""
+            <style>
+            .stSelectbox > div > div {cursor: pointer;}
+            </style>
+            """, unsafe_allow_html=True)
     names = gdf['name'].tolist()
     names.append("Select Field")
     field_name = st.selectbox("Select Field", options=names, key="field_name_monitor", help="Select the field to edit", index=len(names)-1)
@@ -119,6 +124,11 @@ def track(metric, field_name, src_df, client_name):
 
     # Display the dropdown menu
     if len(dates) > 0:
+        st.markdown("""
+            <style>
+            .stSelectbox > div > div {cursor: pointer;}
+            </style>
+            """, unsafe_allow_html=True)
         date = st.selectbox('Select Observation Date: ', dates, index=len(dates)-1, key=f'Select Date Dropdown Menu - {metric}')
         if date != -1:
             st.write('You selected:', date)