Examples for Skysat

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 can be obtained as described in the Authentication chapter. It will look something like this:

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

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

When your Skysat data is imported into Sentinel Hub using our Third Party Data Import API, you will receive the collection ID, with which you need to replace the collection ID bff11d69-5262-4fff-9263-a5d4ecf65909 (or 7402d0eb-0987-4f05-a8e6-e4c69645a505) used in the examples in "type": "byoc-bff11d69-5262-4fff-9263-a5d4ecf65909" (or "type": "byoc-7402d0eb-0987-4f05-a8e6-e4c69645a505). You will also need to adjust the values of bounds and timeRange parameters, so that they correspond to your data.

True Color

curl -X POST \
  https://services.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": [455436.85, 5096625.41, 455500.63, 5096671.07]
    },
    "data": [
      {
        "type": "byoc-bff11d69-5262-4fff-9263-a5d4ecf65909",
        "dataFilter": {
          "timeRange": {
             "from": "2021-06-01T00:00:00Z",
             "to": "2021-06-30T23:59:59Z"
          }
        }
      }
    ]
  },
  "output": {
    "resx": 0.5,
    "resy": 0.5
  }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: [{"bands": ["blue", "red", "green","dataMask"]}],
    output: { bands: 4}
  }
}
var f = 2.5 / 10000
function evaluatePixel(sample) {
  return [sample.red*f, sample.green*f, sample.blue*f, sample.dataMask]
}'

Panchromatic Image

curl -X POST \
  https://services.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": [455436.85, 5096625.41, 455500.63, 5096671.07]
    },
    "data": [
      {
        "type": "byoc-7402d0eb-0987-4f05-a8e6-e4c69645a505",
        "dataFilter": {
          "timeRange": {
             "from": "2021-06-01T00:00:00Z",
             "to": "2021-06-30T23:59:59Z"
          }
        }
      }
    ]
  },
  "output": {
    "resx": 0.5,
    "resy": 0.5
  }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: [{"bands": ["pan","dataMask"]}],
    output: { bands: 4}
  }
}
var f = 10000
function evaluatePixel(sample) {
  return [sample.pan/f, sample.pan/f, sample.pan/f, sample.dataMask]
}'

NDVI visualized using valueInterpolate function

curl -X POST \
  https://services.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": [455436.85, 5096625.41, 455500.63, 5096671.07]
    },
    "data": [
      {
        "type": "byoc-bff11d69-5262-4fff-9263-a5d4ecf65909",
        "dataFilter": {
          "timeRange": {
             "from": "2021-06-01T00:00:00Z",
             "to": "2021-06-30T23:59:59Z"
          }
        }
      }
    ]
  },
  "output": {
    "resx": 0.5,
    "resy": 0.5
  }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: [{"bands": ["red", "nir","dataMask"]}],
    output: { bands: 4}
  }
}
var f = 10000
function evaluatePixel(sample) {
  var NDWI = index (sample.nir/f, sample.red/f)
  return valueInterpolate (NDWI,
    [-1, -0.5, 0.2, 0.3, 0.4, 0.5, 1.0],
    [
      [1, 0, 1, sample.dataMask],
      [1, 0.5, 0, sample.dataMask],
      [1, 1, 0, sample.dataMask],
      [0.2, 1, 0.5, sample.dataMask],
      [0,0, 1, sample.dataMask],
      [0, 0, 0.3, sample.dataMask],
      [0, 0, 0, sample.dataMask],
  ])
}'

Multispectral and panchromatic raw bands in one request (data fusion)

curl -X POST \
  https://services.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": [455436.85, 5096625.41, 455500.63, 5096671.07]
    },
    "data": [
      {
        "id": "MS",
        "type": "byoc-bff11d69-5262-4fff-9263-a5d4ecf65909",
        "dataFilter": {
          "timeRange": {
             "from": "2021-06-01T00:00:00Z",
             "to": "2021-06-30T23:59:59Z"
          }
        }
      },
      {
        "id": "Pan",
        "type": "byoc-7402d0eb-0987-4f05-a8e6-e4c69645a505",
        "dataFilter": {
          "timeRange": {
             "from": "2021-06-01T00:00:00Z",
             "to": "2021-06-30T23:59:59Z"
          }
        }
      }
    ]
  },
    "output": {
    "resx": 0.5,
    "resy": 0.5,
    "responses": [
          {
            "identifier": "default",
            "format": {
              "type": "image/tiff"
            }
          }
        ]
  }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: [{datasource: "MS", "bands": ["blue", "green", "red", "nir"]},
            {datasource: "Pan", "bands": ["pan"]}],
    output: { bands: 5, sampleType: "UINT16"}
  }
}
var f = 65535 / 10000
function evaluatePixel(samples) {
  var sampleMS = samples.MS[0]
  var samplePan = samples.Pan[0]
  return [sampleMS.red*f, sampleMS.green*f, sampleMS.blue*f, sampleMS.nir*f, samplePan.pan*f]
}'