Calculating number of pixcells in a defined geometry

Hi @sabatabesh ,

I’d suggest using Statistical API and create a histogram with arbitrary bins.

An example would be the following:

curl -X POST https://services.sentinel-hub.com/api/v1/statistics \
 -H 'Authorization: Bearer ' \
 -H 'Accept: application/json' \
 -H 'Content-Type: application/json' \
 -d '{
  "input": {
    "bounds": {
      "bbox": [
        4526313.815668,
        2089673.283266,
        4530446.599833,
        2092523.566946
      ],
      "properties": {
        "crs": "http://www.opengis.net/def/crs/EPSG/0/3035"
      }
    },
    "data": [
      {
        "dataFilter": {},
        "type": "sentinel-2-l2a"
      }
    ]
  },
  "aggregation": {
    "timeRange": {
      "from": "2023-05-01T00:00:00Z",
      "to": "2023-05-30T23:59:59Z"
    },
    "aggregationInterval": {
      "of": "P1D"
    },
    "resx": "10",
    "resy": "10",
    "evalscript": "//VERSION=3\nfunction setup() {\n  return {\n    input: [{\n      bands: [\n        \"B04\",\n        \"B08\",\n        \"dataMask\"\n      ]\n    }],\n    output: [\n      {\n        id: \"ndvi\",\n        bands: 1\n      },\n      {\n        id: \"dataMask\",\n        bands: 1\n      }]\n  };\n}\n\nfunction evaluatePixel(samples) {\n    let index = (samples.B08 - samples.B04) / (samples.B08+samples.B04);\n    return {\n        ndvi: [index],\n        dataMask: [samples.dataMask],\n    };\n}\n"
  },
  "calculations": {
    "ndvi": {
      "histograms": {
        "default": {
          "bins": [
            "-1.0",
            "0.3",
            "1.0"
          ]
        }
      }
    }
  }
}'