DEVELOPMENT OF MACHINE LEARNING ALGORITHMS FOR RIVERSIDE LAND COVER CLASSIFICATION USING SYNTHETIC APERTURE RADAR SATELLITE IMAGERY AND TERRAIN DATA

Development of Machine Learning Algorithms for Riverside Land Cover Classification Using Synthetic Aperture Radar Satellite Imagery and Terrain Data

Riverine environments play a crucial role in maintaining the stability of river ecosystems as well as biodiversity.Furthermore, the appropriate management of small rivers has a significant impact not only on stable water supplies but also on water resource management.Wide monitoring of the riverside environment including land covers and their chang

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