Examples for Landsat 8-9 L1

To request data using any of the request below, you will need to replace the string <your access token> with your Sentinel Hub access token. Sentinel Hub access token will look something like this:

ayJhbGciOiJSUzI1NiJ9.ayJzdWIiOiI0MmYwODZjCy1kMzI3LTRlOTMtYWMxNS00ODAwOGFiZjI0YjIiLCJhdWQiOiJlY2I1MGM1Zi1i
MWM1LTQ3ZTgtYWE4NC0zZTU4NzJlM2I2MTEiLCJqdGkiOiI5MzYxMWE4ODEyNTM4Y2M0MmU0NDJjYjUyMTY0YmJlNyIsImV4cCI6MTU1N
TQyMzk3MiwibmFtZSI6ImFuamEudnJlY2tvQHNpbmVyZ2lzZS5jb20iLCJlbWFpbCI6ImFuamEudnJlY2tvQHNpbmVyZ2lzZS5jb20iLC
JzaWQiOiIzZjVjZDVkNS04MjRiLTQ3ZjYtODgwNy0wNDMyNWY4ODQxZmQifQ.U7FPOy_2jlEOFxXSjyN5KEdBROna3-Dyec0feShIbUOY
1p9lEXdNaMmR5euiINi2RXDayX9Kr47CuSTsvq1zHFvZs1YgkFr1iH6kDuX-t_-wfWpqu5oPjoPVKZ4Rj0Ms_dxAUTQFTXR0rlbLuO-KS
gnaeLVb5iiv_qY3Ctq2XKdIRcFRQLFziFcP4yZJl-NZMlwzsiiwjakcpYpI5jSYAdU2hpZLHRzceseeZt5YfZOe5Px1kZXro9Nd0L2GPC
-qzOXw_V1saMGFa2ov8qV6Dvk92iv2SDDdGhOdII_JOf8XkK4E3g2z0EEFdWhG9F4Iky4ukNsqBPgE8LRb31s0hg

and can be obtained as described in the Authentication chapter.

A Postman collection with examples can be downloaded here. Our Postman collections are deprecated and are not being updated since July 2022.

True Color

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "bbox": [
        12.401213,
        41.855754,
        12.609214,
        41.996243
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512
  }
}
  ' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {
      input: ["B02", "B03", "B04"],
      output: {
        bands: 3,
        sampleType: "AUTO" // default value - scales the output values from [0,1] to [0,255].
      }
    }
  }

  function evaluatePixel(sample) {
    return [2.5 * sample.B04, 2.5 * sample.B03, 2.5 * sample.B02]
  }
  '

True Color Pansharpened

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "bbox": [
        12.401213,
        41.855754,
        12.609214,
        41.996243
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
      "identifier": "default",
      "format": {
        "type": "image/png"
      }
    }]
  }
}
  ' \
   -F 'evalscript=//VERSION=3

   function setup() {
     return {
       input: [{
         bands: [
           "B02",
           "B03",
           "B04",
           "B08",
           "dataMask"
         ]
       }],
       output: {
         bands: 4
       }
     }
   }
   let minVal = 0.0
   let maxVal = 0.4

   let viz = new HighlightCompressVisualizer(minVal, maxVal)

   function evaluatePixel(samples) {
     let sudoPanW = (samples.B04 + samples.B03 + samples.B02 * 0.4) / 2.4
     let ratioW = samples.B08 / sudoPanW
     let val = [samples.B04 * ratioW, samples.B03 * ratioW, samples.B02 * ratioW]
     val = viz.processList(val)
     val.push(samples.dataMask)
     return val
   }
'

True Color, resolution (EPSG 32633)

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/EPSG/0/32633"
      },
      "bbox": [
        408553.58,
        5078145.48,
        466081.02,
        5126576.61
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "resx": 100,
    "resy": 100
  }
}
  ' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {
      input: ["B02", "B03", "B04"],
      output: {
        bands: 3
      }
    }
  }

  function evaluatePixel(sample) {
    return [2.5 * sample.B04, 2.5 * sample.B03, 2.5 * sample.B02]
  }
  '

True Color, multi-band GeoTIff

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "bbox": [
        12.401213,
        41.855754,
        12.609214,
        41.996243
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512
  }
}
  ' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {
      input: ["B02", "B03", "B04"],
      output: {
        bands: 3
      }
    }
  }

  function evaluatePixel(sample) {
    return [2.5 * sample.B04, 2.5 * sample.B03, 2.5 * sample.B02]
  }
  '

True Color, mosaicking with leastRecent

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "bbox": [
        12.401213,
        41.855754,
        12.609214,
        41.996243
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        },
        "mosaickingOrder": "leastRecent"
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
      "identifier": "default",
      "format": {
        "type": "image/png"
      }
    }]
  }
}
  ' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {
      input: ["B02", "B03", "B04"],
      output: {
        bands: 3
      }
    }
  }

  function evaluatePixel(sample) {
    return [2.5 * sample.B04, 2.5 * sample.B03, 2.5 * sample.B02]
  }
  '

True color and metadata (multi-part response GeoTIFF and json)

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -H 'accept: application/tar' \
  -F 'request={
  "input": {
    "bounds": {
      "bbox": [
        12.401213,
        41.855754,
        12.609214,
        41.996243
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
        "identifier": "default",
        "format": {
          "type": "image/tiff"
        }
      },
      {
        "identifier": "userdata",
        "format": {
          "type": "application/json"
        }
      }
    ]
  }
}
  ' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {
      input: ["B02", "B03", "B04"],
      mosaicking: Mosaicking.ORBIT,
      output: {
        id: "default",
        bands: 3
      }
    }
  }

  function updateOutputMetadata(scenes, inputMetadata, outputMetadata) {
    outputMetadata.userData = {
      "scenes": scenes.orbits
    }
  }

  function evaluatePixel(samples) {
    return [2.5 * samples[0].B04, 2.5 * samples[0].B03, 2.5 * samples[0].B02]
  }
  '

True color multi-part response (different formats and SampleType)

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -H 'Accept: application/tar' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "bbox": [
        12.401213,
        41.855754,
        12.609214,
        41.996243
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
        "identifier": "true_color",
        "format": {
          "type": "image/jpeg"
        }
      },
      {
        "identifier": "true_color_8bit",
        "format": {
          "type": "image/png"
        }
      },
      {
        "identifier": "true_color_16bit",
        "format": {
          "type": "image/tiff"
        }
      },
      {
        "identifier": "true_color_32float",
        "format": {
          "type": "image/tiff"
        }
      }
    ]
  }
  }
  ' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {
      input: [{
        bands: ["B04", "B03", "B02"],
        units: "REFLECTANCE" // default units
      }],
      output: [{
          id: "true_color",
          bands: 3,
          sampleType: "AUTO" // default  - scales the output values from input values [0,1] to [0,255].
        },
        {
          id: "true_color_8bit",
          bands: 3,
          sampleType: "UINT8"
        },
        {
          id: "true_color_16bit",
          bands: 3,
          sampleType: "UINT16" //floating point values are automatically rounded to the nearest integer by the service.
        },
        {
          id: "true_color_32float",
          bands: 3,
          sampleType: "FLOAT32"
        }
      ]
    }
  }

  function evaluatePixel(sample) {
    return {
      //  output band values are scaled from [0,1] to [0,255]. Multiply by 2.5 to increase brightness
      true_color: [2.5 * sample.B04, 2.5 * sample.B03, 2.5 * sample.B02],
      // Multiply input reflectance values by 255 to stretch them to [0, 255] unsigned 8 bit range.
      true_color_8bit: [sample.B04 * 255, sample.B03 * 255, sample.B02 * 255],
      // Multiply input reflectance values by 65535 to stretch them to [0, 65535] unsigned 16 bit range.
      true_color_16bit: [sample.B04 * 65535, sample.B03 * 65535, sample.B02 * 65535],
      // Reflectance values
      true_color_32float: [sample.B04, sample.B03, sample.B02],
    }
  }
'

NDVI as jpeg image with bounds given as polygon

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              12.480661,
              41.965872
            ],
            [
              12.523909,
              41.96817
            ],
            [
              12.553084,
              41.931401
            ],
            [
              12.525968,
              41.906365
            ],
            [
              12.491645,
              41.894355
            ],
            [
              12.449084,
              41.896911
            ],
            [
              12.433295,
              41.926292
            ],
            [
              12.442219,
              41.950043
            ],
            [
              12.480661,
              41.965872
            ]
          ]
        ]
      }
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
      "identifier": "default",
      "format": {
        "type": "image/jpeg",
        "quality": 80
      }
    }]
  }
}
  ' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: [{
      bands:["B04", "B05"],
    }],
    output: {
      id: "default",
      bands: 3,
    }
  }
}

function evaluatePixel(sample) {
    let ndvi = (sample.B05 - sample.B04) / (sample.B05 + sample.B04)

    if (ndvi<-0.5) return [0.05,0.05,0.05]
    else if (ndvi<-0.2) return [0.75,0.75,0.75]
    else if (ndvi<-0.1) return [0.86,0.86,0.86]
    else if (ndvi<0) return [0.92,0.92,0.92]
    else if (ndvi<0.025) return [1,0.98,0.8]
    else if (ndvi<0.05) return [0.93,0.91,0.71]
    else if (ndvi<0.075) return [0.87,0.85,0.61]
    else if (ndvi<0.1) return [0.8,0.78,0.51]
    else if (ndvi<0.125) return [0.74,0.72,0.42]
    else if (ndvi<0.15) return [0.69,0.76,0.38]
    else if (ndvi<0.175) return [0.64,0.8,0.35]
    else if (ndvi<0.2) return [0.57,0.75,0.32]
    else if (ndvi<0.25) return [0.5,0.7,0.28]
    else if (ndvi<0.3) return [0.44,0.64,0.25]
    else if (ndvi<0.35) return [0.38,0.59,0.21]
    else if (ndvi<0.4) return [0.31,0.54,0.18]
    else if (ndvi<0.45) return [0.25,0.49,0.14]
    else if (ndvi<0.5) return [0.19,0.43,0.11]
    else if (ndvi<0.55) return [0.13,0.38,0.07]
    else if (ndvi<0.6) return [0.06,0.33,0.04]
    else return [0,0.27,0]
}'

Exact NDVI values using a floating point GeoTIFF

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              12.480661,
              41.965872
            ],
            [
              12.523909,
              41.96817
            ],
            [
              12.553084,
              41.931401
            ],
            [
              12.525968,
              41.906365
            ],
            [
              12.491645,
              41.894355
            ],
            [
              12.449084,
              41.896911
            ],
            [
              12.433295,
              41.926292
            ],
            [
              12.442219,
              41.950043
            ],
            [
              12.480661,
              41.965872
            ]
          ]
        ]
      }
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
      "identifier": "default",
      "format": {
        "type": "image/tiff"
      }
    }]
  }
}
' \
  -F 'evalscript=//VERSION=3
function setup() {
  return{
    input: [{
      bands: ["B04", "B05"]
    }],
    output: {
      id: "default",
      bands: 1,
      sampleType: SampleType.FLOAT32
    }
  }
}

function evaluatePixel(sample) {
  let ndvi = (sample.B05 - sample.B04) / (sample.B05 + sample.B04)
  return [ ndvi ]
}'

NDVI image and value (multi-part response png and GeoTIFF)

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -H 'Accept: application/tar' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              12.480661,
              41.965872
            ],
            [
              12.523909,
              41.96817
            ],
            [
              12.553084,
              41.931401
            ],
            [
              12.525968,
              41.906365
            ],
            [
              12.491645,
              41.894355
            ],
            [
              12.449084,
              41.896911
            ],
            [
              12.433295,
              41.926292
            ],
            [
              12.442219,
              41.950043
            ],
            [
              12.480661,
              41.965872
            ]
          ]
        ]
      }
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
        "identifier": "ndvi_image",
        "format": {
          "type": "image/png"
        }
      },
      {
        "identifier": "default",
        "format": {
          "type": "image/tiff"
        }
      }
    ]
  }
}
' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {

      input: [{
        bands: ["B04", "B05"],
      }],
      output: [{
          id: "default",
          bands: 1,
          sampleType: SampleType.FLOAT32
        },
        {
          id: "ndvi_image",
          bands: 3,
          sampleType: SampleType.AUTO
        }
      ]
    }
  }


  function evaluatePixel(sample) {
    let ndvi = (sample.B05 - sample.B04) / (sample.B05 + sample.B04)

    if (ndvi < -0.5) image = [0.05, 0.05, 0.05]
    else if (ndvi < -0.2) image = [0.75, 0.75, 0.75]
    else if (ndvi < -0.1) image = [0.86, 0.86, 0.86]
    else if (ndvi < 0) image = [0.92, 0.92, 0.92]
    else if (ndvi < 0.025) image = [1, 0.98, 0.8]
    else if (ndvi < 0.05) image = [0.93, 0.91, 0.71]
    else if (ndvi < 0.075) image = [0.87, 0.85, 0.61]
    else if (ndvi < 0.1) image = [0.8, 0.78, 0.51]
    else if (ndvi < 0.125) image = [0.74, 0.72, 0.42]
    else if (ndvi < 0.15) image = [0.69, 0.76, 0.38]
    else if (ndvi < 0.175) image = [0.64, 0.8, 0.35]
    else if (ndvi < 0.2) image = [0.57, 0.75, 0.32]
    else if (ndvi < 0.25) image = [0.5, 0.7, 0.28]
    else if (ndvi < 0.3) image = [0.44, 0.64, 0.25]
    else if (ndvi < 0.35) image = [0.38, 0.59, 0.21]
    else if (ndvi < 0.4) image = [0.31, 0.54, 0.18]
    else if (ndvi < 0.45) image = [0.25, 0.49, 0.14]
    else if (ndvi < 0.5) image = [0.19, 0.43, 0.11]
    else if (ndvi < 0.55) image = [0.13, 0.38, 0.07]
    else if (ndvi < 0.6) image = [0.06, 0.33, 0.04]
    else image = [0, 0.27, 0]

    return {
      default: [ndvi],
      ndvi_image: image
    }
  }
  '

All Landsat 8-9 L1 bands as GeoTIFF

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              12.480661,
              41.965872
            ],
            [
              12.523909,
              41.96817
            ],
            [
              12.553084,
              41.931401
            ],
            [
              12.525968,
              41.906365
            ],
            [
              12.491645,
              41.894355
            ],
            [
              12.449084,
              41.896911
            ],
            [
              12.433295,
              41.926292
            ],
            [
              12.442219,
              41.950043
            ],
            [
              12.480661,
              41.965872
            ]
          ]
        ]
      }
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
      "identifier": "default",
      "format": {
        "type": "image/tiff"
      }
    }]
  }
}
' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {
      input: [{
        bands: ["B01", "B02", "B03", "B04", "B05", "B06", "B07", "B08", "B09", "B10", "B11", "BQA"]
      }],
      output: {
        id: "default",
        bands: 12,
        sampleType: SampleType.UINT16 //floating point values are automatically rounded to the nearest integer by the service.
      }
    }
  }

  function evaluatePixel(sample) {
    // For optical bands B01-B09, return reflectance multiplied by 10000 as integers to save processing units. To obtain reflectance values, simply divide the resulting pixel values by 10000.
    return [10000 * sample.B01, 10000 * sample.B02, 10000 * sample.B03, 10000 * sample.B04, 10000 * sample.B05, 10000 * sample.B06, 10000 * sample.B07, 10000 * sample.B08, 10000 * sample.B09, sample.B10, sample.B11, sample.BQA]
  }
  '

Thermal Band as jpeg image with bounds given as bounding box

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "bbox": [
        12.401213,
        41.855754,
        12.609214,
        41.996243
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
      "identifier": "default",
      "format": {
        "type": "image/png"
      }
    }]
  }
}
  ' \
   -F 'evalscript=//VERSION=3
   let minVal = 200
   let maxVal = 375

   let viz = ColorGradientVisualizer.createBlueRed(minVal, maxVal)

   function setup() {
     return {
       input: [{
         bands: [
           "B10",
           "dataMask"
         ]
       }],
       output: {
         bands: 4
       }
     }
   }

   function evaluatePixel(samples) {
     let val = samples.B10
     val = viz.process(val)
     val.push(samples.dataMask)
     return val
   }
   '

Extract Thermal band Kelvin values using a FLOAT32 GeoTIFF

curl -X POST \
  https://services-uswest2.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -F 'request={
  "input": {
    "bounds": {
      "properties": {
        "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
      },
      "bbox": [
        12.401213,
        41.855754,
        12.609214,
        41.996243
      ]
    },
    "data": [{
      "type": "landsat-ot-l1",
      "dataFilter": {
        "timeRange": {
          "from": "2020-07-01T00:00:00Z",
          "to": "2020-07-31T00:00:00Z"
        }
      }
    }]
  },
  "output": {
    "width": 512,
    "height": 512,
    "responses": [{
      "identifier": "default",
      "format": {
        "type": "image/tiff"
      }
    }]
  }
}
  ' \
  -F 'evalscript=//VERSION=3

  function setup() {
    return {
      input: [{
        bands: [
          "B10"
        ]
      }],
      output: {
        bands: 1,
        sampleType: "FLOAT32"
      }
    }
  }

  function evaluatePixel(samples) {
    return [samples.B10]
  }
  '