Examples for S5PL2

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.

Carbon Monoxide, CO (RGB visualization and transparency with dataMask)

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["CO", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 0.0
const maxVal = 0.1
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba= viz.process(sample.CO)
    rgba.push(sample.dataMask)
    return rgba
}'

Nitrogen Dioxide, NO2 (NRTI timeliness, RGB visualization and transparency with dataMask)

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-30T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    },
                  "timeliness": "NRTI"
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["NO2", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 0.0
const maxVal = 0.0001
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba= viz.process(sample.NO2)
    rgba.push(sample.dataMask)
    return rgba
}'

Formaldehyde, HCHO (float32 format, specific value for no data, GeoTIFF)

curl -X POST \
  https://creodias.sentinel-hub.com/api/v1/process \
  -H 'Authorization: Bearer <your access token>' \
  -H 'Accept: image/tiff' \
  -F 'request={
    "input": {
        "bounds": {
            "properties": {
                "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84"
            },
            "bbox": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-30T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["HCHO", "dataMask"],
    output: { bands:  1 , sampleType: "FLOAT32"}
  }
}

function evaluatePixel(sample) {
    if (sample.dataMask == 1){
        return [sample.HCHO]
    } else {
        return [-9999]
    }
}'

Ozone, O3 (RPRO timeliness, streched values and dataMask)

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2019-04-22T00:00:00Z",
                        "to": "2019-04-23T00:00:00Z"
                    },
                  "timeliness": "RPRO"
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3

function setup() {
  return {
    input: ["O3", "dataMask"],
    output: { bands: 2 }
  }
}

function evaluatePixel(sample, scene) {
  var maxVal = 0.36; 
  return [sample.O3/maxVal, sample.dataMask]
}'

Sulfur Dioxide, SO2 (minQa=20 applied, streched values)

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-30T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                },
                "processing":{
                    "minQa": 20
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3

function setup() {
  return {
    input: ["SO2", "dataMask"],
    output: { bands: 2 }
  }
}

function evaluatePixel(sample, scene) {
  var maxVal = 0.01; 
  return [sample.SO2/maxVal, sample.dataMask]
}'

Methane, CH4

curl -X POST \
  https://creodias.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": [
                10,
                20,
                15,
                25
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["CH4", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 1600.0
const maxVal = 2000.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.CH4)
    rgba.push(sample.dataMask)
    return rgba
}'

AER AI 340 and 380

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["AER_AI_340_380", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = -1.0
const maxVal = 5.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.AER_AI_340_380)
    rgba.push(sample.dataMask)
    return rgba
}'

AER AI 354 and 388

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["AER_AI_354_388", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = -1.0
const maxVal = 5.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.AER_AI_354_388)
    rgba.push(sample.dataMask)
    return rgba
}'

Cloud base height

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["CLOUD_BASE_HEIGHT", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 0
const maxVal = 20000.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.CLOUD_BASE_HEIGHT)
    rgba.push(sample.dataMask)
    return rgba
}'

Cloud base pressure

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["CLOUD_BASE_PRESSURE", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 10000.0
const maxVal = 110000.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.CLOUD_BASE_PRESSURE)
    rgba.push(sample.dataMask)
    return rgba
}'

Effective radiometric cloud fraction

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["CLOUD_FRACTION", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 0.0
const maxVal = 1.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.CLOUD_FRACTION)
    rgba.push(sample.dataMask)
    return rgba
}'

Cloud optical thickness

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["CLOUD_OPTICAL_THICKNESS", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 0.0
const maxVal = 250.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.CLOUD_OPTICAL_THICKNESS)
    rgba.push(sample.dataMask)
    return rgba
}'

Cloud top height

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["CLOUD_TOP_HEIGHT", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 0.0
const maxVal = 20000.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.CLOUD_TOP_HEIGHT)
    rgba.push(sample.dataMask)
    return rgba
}'

Cloud top pressure

curl -X POST \
  https://creodias.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": [
                13,
                45,
                15,
                47
            ]
        },
        "data": [
            {
                "type": "sentinel-5p-l2",
                "dataFilter": {
                    "timeRange": {
                        "from": "2018-12-28T00:00:00Z",
                        "to": "2018-12-31T00:00:00Z"
                    }
                }
            }
        ]
    },
    "output": {
        "width": 512,
        "height": 512
    }
}' \
  -F 'evalscript=//VERSION=3
function setup() {
  return {
    input: ["CLOUD_TOP_PRESSURE", "dataMask"],
    output: { bands:  4 }
  }
}

const minVal = 10000.0
const maxVal = 110000.0
const diff = maxVal - minVal

const rainbowColors = [
    [minVal, [0, 0, 0.5]],
    [minVal + 0.125 * diff, [0, 0, 1]],
    [minVal + 0.375 * diff, [0, 1, 1]],
    [minVal + 0.625 * diff, [1, 1, 0]],
    [minVal + 0.875 * diff, [1, 0, 0]],
    [maxVal, [0.5, 0, 0]]
]

const viz = new ColorRampVisualizer(rainbowColors)

function evaluatePixel(sample) {
    var rgba = viz.process(sample.CLOUD_TOP_PRESSURE)
    rgba.push(sample.dataMask)
    return rgba
}'