README.md

Interpolated Time-series script

Show script or download it.

{% highlight javascript %} {% include_relative script.js %} {% endhighlight %}

This evalscript returns a temporally-interpolated stack of band or band indices values.

Warning: In this evalscript the time_interval must be defined both in the request as well as in the evalscript itself.

General description

From the provided time interval and the frequency, a new list of dates is determined on which the temporally interpolated values are estimated.

The evalscript applies cloud masking from the service. If there are not enough valid data poins to fill the time interval, the CLP (cloud probability) threshold is dynamically loosened in order to bring more points in.

More information about the general use of a similar script on this blog post.

Example request usage

request = SentinelHubRequest(
    evalscript=evalscript,
    input_data=[
        SentinelHubRequest.input_data(
            data_collection=DataCollection.SENTINEL2_L2A,
            time_interval=time_interval,  # must be same as in the evalscript
            mosaicking_order='leastRecent',  # order is important
            other_args={'dataFilter':{'previewMode': 'DETAIL'}}  # because of `CLM` and `CLP`
        )
    ],
    responses=[
        SentinelHubRequest.output_response('B01', MimeType.TIFF),
        SentinelHubRequest.output_response('B02', MimeType.TIFF),
        SentinelHubRequest.output_response('B03', MimeType.TIFF),
        SentinelHubRequest.output_response('B04', MimeType.TIFF),
        SentinelHubRequest.output_response('B05', MimeType.TIFF),
        SentinelHubRequest.output_response('B06', MimeType.TIFF),
        SentinelHubRequest.output_response('B07', MimeType.TIFF),
        SentinelHubRequest.output_response('B08', MimeType.TIFF),
        SentinelHubRequest.output_response('B8A', MimeType.TIFF),
        SentinelHubRequest.output_response('B09', MimeType.TIFF),
        SentinelHubRequest.output_response('B11', MimeType.TIFF),
        SentinelHubRequest.output_response('B12', MimeType.TIFF),
        SentinelHubRequest.output_response('QM', MimeType.TIFF),
    ],
    geometry=geometry,
    size=bbox_to_dimensions(bbox, resolution)
    config=config
)

Output result