added a few folder for forest carbon monitoring

Author: Hemali Majithia

planetary-variables/forest-carbon-monitoring/aboveground-carbon-density/eob.js

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+//VERSION=3
+// To set custom max and min values, set
+// defaultVis to false and choose your max and
+// min values. The color map will then be scaled
+// to those max and min values
+const defaultVis = true;
+const max = 175;
+const min = 0;
+
+function setup() {
+  return {
+    input: ["ACD", "dataMask"],
+    output: [
+      { id: "default", bands: 4 },
+      { id: "index", bands: 1, sampleType: "INT16" },
+      { id: "eobrowserStats", bands: 1, sampleType: "FLOAT32" },
+      { id: "dataMask", bands: 1 },
+    ],
+  };
+}
+
+function updateMap(max, min) {
+  const numIntervals = map.length;
+  const intervalLength = (max - min) / (numIntervals - 1);
+  for (let i = 0; i < numIntervals; i++) {
+    map[i][0] = max - intervalLength * i;
+  }
+}
+
+const map = [
+  [175, 0xe5dd26],
+  [155, 0xced62f],
+  [140, 0x9ec54a],
+  [125, 0x63b16e],
+  [110, 0x38a183],
+  [95, 0x1b8583],
+  [80, 0x1e8589],
+  [65, 0x206378],
+  [50, 0x2e4c67],
+  [35, 0x2a3f62],
+  [20, 0x2d1a4e],
+  [5, 0x2e164c],
+  [0, 0x360245],
+];
+
+const visualizer = new ColorRampVisualizer(map, min, max);
+
+function evaluatePixel(sample) {
+  let val = sample.ACD;
+  let imgVals = visualizer.process(val);
+
+  return {
+    default: imgVals.concat(sample.dataMask),
+    index: [val],
+    eobrowserStats: [val],
+    dataMask: [sample.dataMask],
+  };
+}

planetary-variables/forest-carbon-monitoring/aboveground-carbon-density/fig/abovegroundcarbon.jpg

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+---
+title: Aboveground Carbon Density, Forest Carbon Diligence
+parent: Forest Carbon Diligence
+grand_parent: Planetary Variables
+layout: script
+nav_exclude: true
+scripts:
+  - [Visualization, script.js]
+  - [EO Browser, eob.js]
+  - [Raw Values, raw.js]
+---
+
+## Evaluate and visualize
+
+As Forest Carbon Diligence is commercial data, brought into Sentinel Hub as Bring Your Own Data, direct EO Browser links are not possible due to the personalized data credentials.
+
+## General description
+
+Aboveground carbon density quantifies the expected density of carbon stored in woody biomass across the
+landscape, measured in mass per area (megagrams of carbon per hectare). It is not a direct estimate of the total
+carbon in that pixel, as the spatial resolution of each pixel is less than one hectare. To estimate total carbon in a
+pixel, users should normalize these values to account for the size of each pixel, or average the density values to 1
+hectare in an equal area projection.
+
+The data layer has four bands:
+
+- **Aboveground Carbon Density** quantifies the density of carbon stored in woody vegetation,
+  primarily trees and shrubs. Grassland, herbaceous, and soil carbon stocks are not quantified.
+- **Lower prediction bound (5th percentile)** of the 90% prediction interval for model predictions at each pixel.
+- **Upper prediction bound (95th percentile)** of the 90% prediction interval for model predictions at each pixel.
+- **Quality Assurance Flags** describing the expected quality of satellite data measurements, and
+  whether any temporal gap-filling was applied.
+
+## Description of representative images
+
+Aboveground Carbon Density in 2022 near Apui, Brazil.
+
+![Aboveground Carbon Density Example](fig/abovegroundcarbon.jpg)

planetary-variables/forest-carbon-monitoring/aboveground-carbon-density/index.md

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+//VERSION=3
+function setup() {
+    return {
+        input: ["ACD"],
+        output: { bands: 1, sampleType: "INT16" },
+    };
+}
+
+function evaluatePixel(sample) {
+    return [sample.ACD];
+}

planetary-variables/forest-carbon-monitoring/aboveground-carbon-density/raw.js

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+//VERSION=3
+const defaultVis = true;
+const max = 175;
+const min = 0;
+
+function setup() {
+  return {
+    input: ["ACD", "dataMask"],
+    output: { bands: 4, sampleType: "AUTO" },
+  };
+}
+
+function updateMap(max, min) {
+  const numIntervals = map.length;
+  const intervalLength = (max - min) / (numIntervals - 1);
+  for (let i = 0; i < numIntervals; i++) {
+    map[i][0] = max - intervalLength * i;
+  }
+}
+
+const map = [
+  [175, 0xe5dd26],
+  [155, 0xced62f],
+  [140, 0x9ec54a],
+  [125, 0x63b16e],
+  [110, 0x38a183],
+  [95, 0x1b8583],
+  [80, 0x1e8589],
+  [65, 0x206378],
+  [50, 0x2e4c67],
+  [35, 0x2a3f62],
+  [20, 0x2d1a4e],
+  [5, 0x2e164c],
+  [0, 0x360245],
+];
+
+const visualizer = new ColorRampVisualizer(map, min, max);
+
+function evaluatePixel(sample) {
+  let val = sample.ACD;
+  let imgVals = visualizer.process(val);
+
+  return [...imgVals, sample.dataMask];
+}

planetary-variables/forest-carbon-monitoring/aboveground-carbon-density/script.js

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+//VERSION=3
+// To set custom max and min values, set
+// defaultVis to false and choose your max and
+// min values. The color map will then be scaled
+// to those max and min values
+const defaultVis = true;
+const max = 100;
+const min = 0;
+
+function setup() {
+  return {
+    input: ["CC", "dataMask"],
+    output: [
+      { id: "default", bands: 4 },
+      { id: "index", bands: 1, sampleType: "UINT8" },
+      { id: "eobrowserStats", bands: 1, sampleType: "FLOAT32" },
+      { id: "dataMask", bands: 1 },
+    ],
+  };
+}
+
+function updateMap(max, min) {
+  const numIntervals = map.length;
+  const intervalLength = (max - min) / (numIntervals - 1);
+  for (let i = 0; i < numIntervals; i++) {
+    map[i][0] = max - intervalLength * i;
+  }
+}
+
+const map = [
+  [100, 0x183d19],
+  [90, 0x124f24],
+  [80, 0x0e6327],
+  [70, 0x246d29],
+  [60, 0x498418],
+  [50, 0x669516],
+  [40, 0x859e25],
+  [30, 0xa4ab38],
+  [20, 0xd3c058],
+  [10, 0xddd17c],
+  [0, 0xf0f5d5],
+];
+
+const visualizer = new ColorRampVisualizer(map, min, max);
+
+function evaluatePixel(sample) {
+  let val = sample.CC;
+  let imgVals = visualizer.process(val);
+
+  return {
+    default: imgVals.concat(sample.dataMask),
+    index: [val],
+    eobrowserStats: [val],
+    dataMask: [sample.dataMask],
+  };
+}

planetary-variables/forest-carbon-monitoring/canopy-cover/eob.js

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+---
+title: Canopy Cover, Forest Carbon Diligence
+parent: Forest Carbon Diligence
+grand_parent: Planetary Variables
+layout: script
+nav_exclude: true
+scripts:
+  - [Visualization, script.js]
+  - [EO Browser, eob.js]
+  - [Raw Values, raw.js]
+---
+
+## Evaluate and visualize
+
+As Forest Carbon Diligence is commercial data, brought into Sentinel Hub as Bring Your Own Data, direct EO Browser links are not possible due to the personalized data credentials.
+
+## General description
+
+Canopy cover quantifies the percentage of area occupied by trees within a
+pixel, where a tree is defined as vegetation 5 meters or taller. This metric will be most sensitive to tree clearing
+events like timber harvest or deforestation, but is also sensitive to seasonal leaf-on variation and to drought.
+
+The data layer has four bands:
+
+- **Canopy Cover** quantifies the horizontal area occupied by tree canopies that are > 5m tall.
+- **Lower prediction bound (5th percentile)** of the 90% prediction interval for model predictions at each pixel.
+- **Upper prediction bound (95th percentile)** of the 90% prediction interval for model predictions at each pixel.
+- **Quality Assurance Flags** describing the expected quality of satellite data measurements, and
+  whether any temporal gap-filling was applied.
+
+## Description of representative images
+
+Canopy Cover in 2022 near Apui, Brazil.
+
+![Canopy Cover Example](fig/canopycover.jpg)

planetary-variables/forest-carbon-monitoring/canopy-cover/fig/canopycover.jpg

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+//VERSION=3
+function setup() {
+    return {
+        input: ["CC"],
+        output: { bands: 1, sampleType: "UINT8" },
+    };
+}
+
+function evaluatePixel(sample) {
+    return [sample.CC]
+}

planetary-variables/forest-carbon-monitoring/canopy-cover/index.md

@@ -0,0 +1,42 @@
+//VERSION=3
+const defaultVis = true;
+const max = 100;
+const min = 0;
+
+function setup() {
+  return {
+    input: ["CC", "dataMask"],
+    output: { bands: 4, sampleTYPE: "AUTO" },
+  };
+}
+
+function updateMap(max, min) {
+  const numIntervals = map.length;
+  const intervalLength = (max - min) / (numIntervals - 1);
+  for (let i = 0; i < numIntervals; i++) {
+    map[i][0] = max - intervalLength * i;
+  }
+}
+
+const map = [
+  [100, 0x183d19],
+  [90, 0x124f24],
+  [80, 0x0e6327],
+  [70, 0x246d29],
+  [60, 0x498418],
+  [50, 0x669516],
+  [40, 0x859e25],
+  [30, 0xa4ab38],
+  [20, 0xd3c058],
+  [10, 0xddd17c],
+  [0, 0xf0f5d5],
+];
+
+const visualizer = new ColorRampVisualizer(map, min, max);
+
+function evaluatePixel(sample) {
+  let val = sample.CC;
+  let imgVals = visualizer.process(val);
+
+  return [...imgVals, sample.dataMask];
+}

planetary-variables/forest-carbon-monitoring/canopy-cover/raw.js

@@ -0,0 +1,49 @@
+//VERSION=3
+// To set custom max and min values, set
+// defaultVis to false and choose your max and
+// min values. The color map will then be scaled
+// to those max and min values
+const defaultVis = true;
+const max = 30;
+const min = 0;
+
+function setup() {
+  return {
+    input: ["CH", "dataMask"],
+    output: [
+      { id: "default", bands: 4 },
+      { id: "index", bands: 1, sampleType: "UINT8" },
+      { id: "eobrowserStats", bands: 1, sampleType: "FLOAT32" },
+      { id: "dataMask", bands: 1 },
+    ],
+  };
+}
+
+function updateMap(max, min) {
+  const numIntervals = map.length;
+  const intervalLength = (max - min) / (numIntervals - 1);
+  for (let i = 0; i < numIntervals; i++) {
+    map[i][0] = max - intervalLength * i;
+  }
+}
+
+const map = [
+  [30, 0x345e03],
+  [20, 0x6da20c],
+  [10, 0xbace6e],
+  [0, 0xf0f5d5],
+];
+
+const visualizer = new ColorRampVisualizer(map, min, max);
+
+function evaluatePixel(sample) {
+  let val = sample.CH;
+  let imgVals = visualizer.process(val);
+
+  return {
+    default: imgVals.concat(sample.dataMask),
+    index: [val],
+    eobrowserStats: [val],
+    dataMask: [sample.dataMask],
+  };
+}

planetary-variables/forest-carbon-monitoring/canopy-cover/script.js

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+---
+title: Canopy Height, Forest Carbon Diligence
+parent: Forest Carbon Diligence
+grand_parent: Planetary Variables
+layout: script
+nav_exclude: true
+scripts:
+  - [Visualization, script.js]
+  - [EO Browser, eob.js]
+  - [Raw Values, raw.js]
+---
+
+## Evaluate and visualize
+
+As Forest Carbon Diligence is commercial data, brought into Sentinel Hub as Bring Your Own Data, direct EO Browser links are not possible due to the personalized data credentials.
+
+## General description
+
+Canopy height quantifies the average stand height of trees within each pixel. Because this is a spatial average
+over a moderate resolution, the modeled height values are shorter than the tallest individual tree within a pixel.
+
+The data layer has four bands:
+
+- **Canopy Height** quantifies the average height of all vegetation in that pixel.
+- **Lower prediction bound (5th percentile)** of the 90% prediction interval for model predictions at each pixel.
+- **Upper prediction bound (95th percentile)** of the 90% prediction interval for model predictions at each pixel.
+- **Quality Assurance Flags** describing the expected quality of satellite data measurements, and
+  whether any temporal gap-filling was applied.
+
+## Description of representative images
+
+Canopy Height in 2022 near Apui, Brazil.
+
+![Canopy Height Example](fig/canopyheight.jpg)

planetary-variables/forest-carbon-monitoring/canopy-height/eob.js

@@ -0,0 +1,11 @@
+//VERSION=3
+function setup() {
+    return {
+        input: ["CH"],
+        output: { bands: 1, sampleType: "UINT8" },
+    };
+}
+
+function evaluatePixel(sample) {
+    return [sample.CH]
+}