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Titlebook: Anthropogeomorphology; A Geospatial Technol Gouri Sankar Bhunia,Uday Chatterjee,Pravat Kumar S Book 2022 The Editor(s) (if applicable) and

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樓主: breath-focus
31#
發(fā)表于 2025-3-27 00:51:11 | 只看該作者
Die Suche nach L?sungen von CSPf the catchment comes under lower erosion category, and few parts of the catchment have higher value of soil loss. Thus, the outcome will definitely help to introduce soil management and conservation practices to mitigate soil erosion in the catchment at Randigad.
32#
發(fā)表于 2025-3-27 04:00:04 | 只看該作者
33#
發(fā)表于 2025-3-27 07:53:53 | 只看該作者
34#
發(fā)表于 2025-3-27 10:23:42 | 只看該作者
35#
發(fā)表于 2025-3-27 17:06:50 | 只看該作者
Soil Erosion Assessment Using RUSLE Model in the Randigad Catchment in Northern India,f the catchment comes under lower erosion category, and few parts of the catchment have higher value of soil loss. Thus, the outcome will definitely help to introduce soil management and conservation practices to mitigate soil erosion in the catchment at Randigad.
36#
發(fā)表于 2025-3-27 18:18:42 | 只看該作者
Monitoring of Meteorological Drought Based on Rainfall Departure Using Remotely Sensed CHIRPS Precindex was found adequate for the characterization of the severe to the extreme spatial variation of drought conditions during October and November of 2016. Therefore, the CHIRPS product is useful to implement and planning for drought.
37#
發(fā)表于 2025-3-28 01:21:59 | 只看該作者
Book 2022 of challenges and uncertainties in the study of earth system dynamics due to climate change, and complex anthropogenic interferences where spatial modelling may be applied in the?risk assessment of vulnerable geomorphological landscapes.?The book will act as a guide to find recent advancements in g
38#
發(fā)表于 2025-3-28 03:11:34 | 只看該作者
39#
發(fā)表于 2025-3-28 07:22:17 | 只看該作者
40#
發(fā)表于 2025-3-28 11:27:23 | 只看該作者
Bank Erosion and Sediment Deposition in Teesta River: A Spatiotemporal Analysis,ted from USGS Earth Explorer. The study used Arc GIS 10.2.2 software to detect the erosion and sedimentation in the study districts. The result of the study unveils that among the five study districts, Lalmonirhat district shows the highest erosive condition (31.72?sq.km) during the study period, an
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