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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Bibliografische gegevens

Hoofdauteurs:	Shuvo, Sakib Rahman Siddique, Alis, Sharmin Sultana, Islam, Md. Nurul
Formaat:	Online
Taal:	Engels
Gepubliceerd in:	Institute of Remote Sensing and GIS 2025
Onderwerpen:	LULC Classifiers Google Earth Engine Satellite Imageries Machine Learning Wetland Monitoring
Online toegang:	http://journals.juniv.edu/index.php/jgs/article/view/267
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