I would like to download the Global Surface Water product (https://collections.sentinel-hub.com/global-surface-water/) to mask Sentinel 3 data over rivers. But I couldn’t find it in the datacollection
from sentinelhub import DataCollection
Is there another way to access the data with the API?
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!
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 ,
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.
Thank you, now it works!
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