Improved Land-use/Land-cover classification of semi-arid deciduous forest landscape using thermal remote sensing

Improved Land-use/Land-cover classification of semi-arid deciduous forest landscape using thermal remote sensing

Land Use Land Cover (LULC) change detection helps the policy makers to understand the environmental change dynamics to ensure sustainable development. Hence, LULC feature identification has emerged as an important research aspect and thus, a proper and accurate methodology for LULC classification is...

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Bibliographic Details
Main Authors: Suman Sinha, Laxmi Kant Sharma, Mahendra Singh Nathawat
Format: Article
Language:English
Published: Elsevier 2015-12-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Land Use Land Cover (LULC)
Classification
Landsat ETM+
Land surface temperature (LST)
Thermal Vegetation Index (TVI)
Land surface features
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982315000551

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http://www.sciencedirect.com/science/article/pii/S1110982315000551

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