Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review

• Published in: Earth science informatics Vol. 17; no. 2; pp. 893 - 956
• Main Authors: Nagaraj, R, Kumar, Lakshmi Sutha
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024; Springer Nature B.V
• Subjects: Conservation; Deep learning; Earth and Environmental Science; Earth Sciences; Earth System Sciences; Environmental degradation; Environmental management; Information Systems Applications (incl.Internet); Machine learning; Network design; Ontology; Optical measuring instruments; Remote sensing; Review; Satellite data; Simulation and Modeling; Space Exploration and Astronautics; Space Sciences (including Extraterrestrial Physics; Surface water; Urbanization; Water conservation; Water resources management; Surface water mapping; Spectral Indices; Machine Learning; Deep Learning; Spectral unmixing

Surface Water Mapping (SWM) is essential for studying hydrological and ecological phenomena. SWM holds significant importance in water resource management, environmental conservation, and disaster preparation. Recently, rapid urbanization, overutilization, and environmental degradation have seriousl...