Webinars

Automated Workflows and Machine Learning Techniques for Coastline Extraction

Description

In this maritime GeoAI webinar, presented by Esri, attendees will learn how to use ArcGIS automated workflows and machine learning techniques for coastline extraction and attribution.

Due to anthropogenic activities and natural processes such as sea level changes, sedimentation, and wave energy coastlines are rapidly changing worldwide. Traditionally, coastlines were digitized manually using time and labor intensive processes.

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.

Automated Workflows and Machine Learning Techniques for Coastline Extraction