Satellite-Based Analysis of Lake Okeechobee’s Surface Water: Exploring Machine Learning Classification for Change Detection

Author:

Chhetri Madan Thapa1,Rijal Sandip1

Affiliation:

1. Department of Geosciences, Florida Atlantic University, Boca Raton, FL 33431, USA

Publisher

MDPI

Reference17 articles.

1. A machine learning method for inland water detection using CYGNSS data;Ghasemigoudarzi;IEEE Geosci. Remote Sens. Lett.,2020

2. Land Surface Water Index (LSWI) response to rainfall and NDVI using the MODIS Vegetation Index product;Chandrasekar;Int. J. Remote Sens.,2010

3. Barrett, D.C., and Frazier, A.E. (2016). Automated method for monitoring water quality using Landsat imagery. Water, 8.

4. Water body extraction and change detection based on multi-temporal SAR images;Zhang;MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications,2009

5. Tang, Z., Ou, W., Dai, Y., and Xin, Y. (2012, January 19–21). Extraction of water body based on LandSat TM5 imagery–a case study in the Yangtze River. Proceedings of the Computer and Computing Technologies in Agriculture VI: 6th IFIP WG 5.14 International Conference, CCTA 2012, Zhangjiajie, China. Revised Selected Papers, Part II 6.

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