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- W3212364889 abstract "Abstract This chapter attempts subbasins level mapping of wastelands using LISS IV (5.8 mt) high-resolution satellite image and management of wastelands using morphometric analysis. This chapter reveals that the object-based classification is more accurate, free from error, and computationally meticulous than the pixel-based classification for the mapping of wastelands. The overall accuracy of land use/land cover classification achieved by the object-based and pixel-based classification are 90.5% and 85.00%, respectively. There is a strong positive correlation between Drainage texture, Dissection Index, and Ruggedness number with all wasteland categories. The principal component analysis shows that there is a strong correlation of morphometric properties with land with/without scrub, degraded notified forest, rocky and steep slope, gullied and ravinous lands, etc., wastelands categories. Prioritization of subbasins using the integration of wastelands and morphometric analysis stated that 22 subbasins (33.25% area of PRC) need immediate attention for soil and channel conservation remedial measures." @default.
- W3212364889 created "2021-11-22" @default.
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- W3212364889 date "2021-01-01" @default.
- W3212364889 modified "2023-10-01" @default.
- W3212364889 title "Mapping of wastelands and significance of morphometric analysis in wasteland management—a remote sensing and GIS approach" @default.
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- W3212364889 doi "https://doi.org/10.1016/b978-0-12-823895-0.00024-5" @default.
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