Learn how to use ArcGIS automated workflows and machine learning techniques for coastline extraction.
Due to anthropogenic activities and natural processes—for example, sea level changes, sedimentation, and wave energy—coastlines are changing worldwide. Traditionally, coastlines were manually digitized, which is a time and labor-intensive way. Remote sensing is an excellent alternative to extract coastlines, using satellite imagery. Satellite imagery of visible range can be used for interpretation and easily obtained. But the imageries covering infrared wavelength is best to extract the boundary between land and water. The band ratio technique is easy to calculate and gives highly accurate results in less processing time. The workflow can be applied to any area using multispectral imagery, Landsat 8 or Sentinel-2.
Have Questions? Post any questions you have about this webinar in the "Reply" area below and our Esri Maritime team will get back to you with answers.
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{"messageCode": "RA_120212", "message": "ConvertRasterToFeature failed. OutputCatalogPath failed. Error: <built-in method GetOutputCatalogPath of HostedGP object object at 0x0000000038F3BD08> returned NULL without setting an error."}
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Are you using Python API playground portal as gis in the notebook? If this is the case, currently Python API Playground doesn't has configured RA server.
