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- W4286375752 abstract "AbstractThe study of changes over the ground has become an important component of contemporary natural resource management and environmental monitoring techniques. The current study depicts the spatiotemporal dynamics of LULC in the district of Bageshwar, Uttarakhand, India. Landsat satellite images from three distinct periods, including Landsat MSS 1976, Landsat ETM+ 1999, and Landsat 8 TIRS 2016, were obtained by the official webpage of Earth Explorer and used to assess spatial–temporal change analysis in the Bageshwar District from 1976 to 2016. The supervised classification approach and the maximum likelihood algorithm were used to group pixels in a meaningful way. Based on satellite imagery, the research area’s categorization result was divided into seven separate classes, including forest, agricultural, waterbody, settlement, barren land/grassland, scrubland, and snow. The study results show that forest cover has faced the highest negative amount of change from 1976 to 2016, about (−)76.07 km2 and on the other hand, barren land/grassland shows the highest positive change of land cover about (+)43.86 km2. The LULC classification shows an overall accuracy of 76%, 82%, and 84% for the different years of 1976, 1999, and 2016 respectively. The present study helps understand the spatial–temporal pattern of LULC changes and highlights the significance of digital image change detection methods in determining the amount of LULC change and shifting in Bageshwar district Uttarakhand, India.KeywordsLandsat time seriesLand use/coverRemote sensingMaximum likelihood (ML)Change detectionDistrict Bageshwar" @default.
- W4286375752 created "2022-07-21" @default.
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- W4286375752 date "2022-01-01" @default.
- W4286375752 modified "2023-10-18" @default.
- W4286375752 title "Spatio-Temporal Change Detection Using Remote Sensing Application—A Case Study of District Bageshwar, Uttarakhand, India" @default.
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- W4286375752 doi "https://doi.org/10.1007/978-3-031-05335-1_16" @default.
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