Regional Remote Sensing of Lake Water Transparency Based on Google Earth Engine: Performance of Empirical Algorithm and Machine Learning

• Published in: Applied sciences Vol. 13; no. 6; p. 4007
• Main Authors: Zeng, Weizhong, Xu, Ke, Cheng, Sihang, Zhao, Lei, Yang, Kun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2023
• Subjects: ACOLITE algorithm; Algorithms; Datasets; Earth resources technology satellites; empirical regression; Image processing; Lakes; Landsat image; Landsat satellites; Machine learning; Methods; Quality control; Remote sensing; Secchi depth; Time series; water clarity; Water quality; China; Yunnan China

Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication. The establishment of an automated system with efficient image processing and an algorithm suitable for the inversion of transparency in lake-rich regions could provide sufficient temporal and spatial informa...