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. Our Postman collections are deprecated and are not being updated since July 2022.

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
}'