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...

Descripción completa

Detalles Bibliográficos

Autores principales:	Shuvo, Sakib Rahman Siddique, Alis, Sharmin Sultana, Islam, Md. Nurul
Formato:	Online
Lenguaje:	inglés
Publicado:	Institute of Remote Sensing and GIS 2025
Materias:	LULC Classifiers Google Earth Engine Satellite Imageries Machine Learning Wetland Monitoring
Acceso en línea:	http://journals.juniv.edu/index.php/jgs/article/view/267
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!