Spatio-Temporal Assessment of LULC, NDVI and LST in Tasgaon Tahsil (2000-2023) Using Remote Sensing and GIS
##semicolon##
Land Use Land Cover (LULC)##common.commaListSeparator## Normalized Difference Vegetation Index (NDVI)##common.commaListSeparator## Geographic Information System (GIS)##article.abstract##
This study examines the spatio-temporal patterns of Land Use/Land Cover (LULC), vegetation health, and land surface temperature (LST) in Tasgaon Taluka, Sangli District, between 2000 and 2023. Landsat data from the years 2000 and 2023 were processed to generate LULC maps, NDVI, and LST indices. Results show a marked increase in built-up area and agricultural intensification, accompanied by declining vegetation and increasing surface temperatures. NDVI values increased in irrigated zones, while LST showed a rising trend in urban and barren surfaces. The findings highlight the influence of land use change on local climatic conditions and environmental sustainability.
##plugins.themes.default.displayStats.downloads##
##submission.citations##
[1] Jha, R., & Unni, N.V.M. (1994). Land Use Mapping Using Remote Sensing. Journal of the Indian Society of Remote Sensing. [2] Paul, S., & Chowdhury, S. (2019). Assessment of LULC and Its Impact on LST in India Using Landsat Data. Environmental Monitoring and Assessment. [3] Rawat, J.S., & Kumar, M. (2015). Monitoring Land Use/Cover Change Using Remote Sensing in Almora District, India. The Egyptian Journal of Remote Sensing and Space Science. [4] Mishra, A., & Garg, P.K. (2018). Analysis of Urban Expansion and LST in Delhi Using Landsat Data. Journal of the Indian Society of Remote Sensing. [5] Reddy, M.S., & Kumar, P. (2010). Land Use/Land Cover Mapping and Change Detection Using Remote Sensing and GIS. Indian Journal of Geography and Environment. [6] Roy, P.S., & Tomar, S. (2001). Landscape Cover Dynamics in India Assessed Using Satellite Data. Current Science. [7] Patel, N., & Pati, P. (2020). NDVI-Based Vegetation Health Assessment in Semi-Arid India. International Journal of Remote Sensing and GIS. [8] Rouse, J., Haas, R., Schell, J., & Deering, D. (1974). Monitoring Vegetation Systems Using NDVI. NASA Goddard Space Flight Centre. [9] Jensen, J.R. (2005). Introductory Digital Image Processing. Prentice Hall. [10] Lillesand, T., Kiefer, R.W., & Chipman, J. (2015). Remote Sensing and Image Interpretation. Wiley. [11] Weng, Q. (2001). A Remote Sensing–GIS Evaluation of Urban Expansion and Its Impact on LST. Remote Sensing of Environment. [12] Zha, Y., Gao, J., & Ni, S. (2003). Use of Normalized Difference Built-Up Index (NDBI) to Map Urban Areas. Remote Sensing of Environment. [13] Oke, T.R. (1982). The Energetic Basis of the Urban Heat Island. Quarterly Journal of the Royal Meteorological Society.