Global surface water

I read the example and I wrote a code to extract the mask i need. However I received an error.

DownloadFailedException: Failed to download from:
https://services.sentinel-hub.com/api/v1/process
with HTTPError:
400 Client Error: Bad Request for url: https://services.sentinel-hub.com/api/v1/process
Server response: "{"status": 400, "reason": "Bad Request", "message": "Requesting only remote collections is not allowed. At least one requested collection must be hosted by the API endpoint. Please use one of the following endpoints with your request: creodias.sentinel-hub.com.", "code": "RENDERER_EXCEPTION"}"

This is acttualy ok for me since I would like to download these data together with the data of Sentinel-3 in the same area (and potentially with the same grid).
Is it possible? Do you have any suggestions?

This is my code for now.

    roi_bbox = BBox(bbox=[10.6803682, 44.9699252, 10.830368199999999, 45.119925200000004], crs=CRS.WGS84)
    roi_bbox_size = bbox_to_dimensions(roi_bbox, resolution=300)
    time_interval = (str(2016)+'-10-01T00:00:00.000000000', str(2023)+'-09-30T23:59:59.000000000')

    # Get Water mask data

    WaterMask = DataCollection.define_byoc(
                    collection_id="9a525f12-33b6-424e-a0f2-d567eec0f277"
                    )
    WaterMask_fun = """
                        //VERSION=3
                        function setup() {
                          return {
                            input: [{
                                bands: ["extent"]
                                }],
                            output: {
                                bands: 1,
                                sampleType: SampleType.UINT8
                            },
                          };
                        }
                        
                        function evaluatePixel(sample) {
                          return [sample.extent];
                        }
                        """
                        
    request_WaterMask = SentinelHubRequest(
                       evalscript=WaterMask_fun,
                       input_data=[
                           SentinelHubRequest.input_data(
                               data_collection=WaterMask, time_interval=time_interval)
                       ],
                       responses=[
                           SentinelHubRequest.output_response(
                               "default", MimeType.TIFF)
                       ],
                       bbox=roi_bbox,
                       size=roi_bbox_size,
                   )    
            
    WaterMask = request_WaterMask.get_data()
                        
    # Get S3 data
    class AddValidDataMaskTask(EOTask):
                def execute(self, eopatch):
                    eopatch.mask["VALID_DATA"] =  ~(eopatch.mask["CLOUD_MASK"])
                    return eopatch


    indices_evalscript = """
                                    //VERSION=3
                                
                                    function setup() {
                                        return {
                                            input: ["B17", "B08", "QUALITY_FLAGS"],
                                            output:[{
                                                id: "BANDS",
                                                bands: 2,
                                                sampleType: SampleType.FLOAT32
                                            },
                                            {
                                                id: "CLOUD_MASK",
                                                bands: 1,
                                                sampleType: SampleType.UINT8
                                            }]
                                        }
                                    }
                                
    function evaluatePixel(sample) {
                                        let cld = (sample.QUALITY_FLAGS & 134217728);
                                        return {
                                           CLOUD_MASK: [cld],
                                           BANDS: [sample.B17, sample.B08]
                                        };
                                    }
                                """

    add_indices = SentinelHubEvalscriptTask(
                features=[(FeatureType.DATA, "BANDS"),
                          (FeatureType.MASK, "CLOUD_MASK")],
                evalscript=indices_evalscript,
                data_collection=DataCollection.SENTINEL3_OLCI,
                resolution=300
            )

Hi @paolo.filippucci ,

Yes, you can access the data with the API. Here is an example notebook we prepared to demonstrate how to access Sentinel Hub Public Collections.

Hope this would help!

This topic was automatically closed 60 days after the last reply. New replies are no longer allowed.

Thank you, now it works!

Hi @paolo.filippucci ,

According to the error message, you seems to use the incorrect endpoint. The endpoint of the Global Surface Water collection is creodias.sentinel-hub.com. You need to set the config.sh_base_url as "https://creodias.sentinel-hub.com" like the Example 3: Corine Land Cover Data of the example notebook I provided earlier.