Monitoring inland water via Sentinel satellite constellation: A review and perspective
Author:
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics
Reference200 articles.
1. Integration of remote sensing and mexican water quality monitoring system using an extreme learning machine;Arias-Rodriguez;Sensors,2021
2. High-resolution inundation mapping for heterogeneous land covers with synthetic aperture radar and terrain data;Aristizabal;Remote Sens. (Basel),2020
3. Enhancement of detecting permanent water and temporary water in flood disasters by fusing sentinel-1 and sentinel-2 imagery using deep learning algorithms: Demonstration of sen1floods11 benchmark datasets;Bai;Remote Sens. (Basel),2021
4. Comparing thresholding with machine learning classifiers for mapping complex water;Bangira;Remote Sens. (Basel),2019
5. Assessment of surface water quality by using satellite images fusion based on PCA method in the lake gala, turkey;Batur;IEEE Trans. Geosci. Remote Sens.,2019
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