Accuracy Assessment of Land Use Land Cover Classification Using Machine Learning Classifiers in Google Earth Engine; A Case Study of Jammu District

Accuracy Assessment of Land Use Land Cover Classification Using Machine Learning Classifiers in Google Earth Engine; A Case Study of Jammu District

LULC (Land Use and Land Cover) involves classifying and describing different land types and their usage. Using satellite imagery for LULC mapping is increasing in remote sensing. This study focuses on Jammu district in India, situated between mountain ranges from north and south make it eco-sensitiv...

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Bibliographic Details
Main Authors:	S. Khan, A. Bhardwaj, M. Sakthivel
Format:	Article
Language:	English
Published:	Copernicus Publications 2024-10-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://isprs-archives.copernicus.org/articles/XLVIII-4-2024/263/2024/isprs-archives-XLVIII-4-2024-263-2024.pdf
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