Adaptability of Machine Learning-based LULC Classification Techniques for Natural Resource Monitoring:: A Study on an Oxbow Lake in Manikganj, Bangladesh

Accurate Land Use Land Cover (LULC) information can help with numerous research efforts relating to floods, droughts, migration, and climate change at several scales. In decision support systems for sustainable development and natural resource management, machine learning-based methods for detecting...

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主要な著者:	Shuvo, Sakib Rahman Siddique, Alis, Sharmin Sultana, Islam, Md. Nurul
フォーマット:	Online
言語:	英語
出版事項:	Institute of Remote Sensing and GIS 2025
主題:	LULC Classifiers Google Earth Engine Satellite Imageries Machine Learning Wetland Monitoring
オンライン･アクセス:	http://journals.juniv.edu/index.php/jgs/article/view/267
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