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Titlebook: Water Management and Water Governance; Hydrological Modelin Ashish Pandey,S.K. Mishra,V.P. Singh Book 2021 The Editor(s) (if applicable) an

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樓主: TIBIA
31#
發(fā)表于 2025-3-26 22:53:42 | 只看該作者
Assessment of Multiple Satellite-Based Precipitation Estimates Over Muneru Watershed of India,ifferent SPEs in detecting rainfall events on various time scales. Overall, statistical and contingency indices analysis revealed that the performance of the TRMM dataset in predicting rainfall was better than the PERSIANN and CMORPH datasets. It was observed that the correlation between watershed-w
32#
發(fā)表于 2025-3-27 03:59:08 | 只看該作者
Evaluation of Sentinel 2 Red Edge Channel for Enhancing Land Use Classification, classified images were validated against the field data and high-resolution Google Earth images. The overall classification accuracy was found as 73.33% for classification excluding red-edge bands, while the incorporation of these bands improved the accuracy to 90%. Highest significant effect was o
33#
發(fā)表于 2025-3-27 05:51:31 | 只看該作者
Reference Crop Evapotranspiration Estimation Using Remote Sensing Technique,h spatial resolution remote sensing data, in dry season of South Sudan. The study evaluated the use of land surface temperature retrieved from Landsat 8 data as an alternative input for three commonly used temperature-based models (Blaney-Criddle, Thornthwaite and Hargreaves) in Juba County of South
34#
發(fā)表于 2025-3-27 12:27:35 | 只看該作者
35#
發(fā)表于 2025-3-27 15:02:43 | 只看該作者
36#
發(fā)表于 2025-3-27 17:54:57 | 只看該作者
37#
發(fā)表于 2025-3-27 23:04:17 | 只看該作者
Study of Morphological Changes in Deltaic River of Odisha Using GIS,stics over a period of time. Using ArcGIS software and toposheet, spatiotemporal variation of land use and land cover (LULC) scenario is studied. River instability is analyzed using Mueller’s Sinuosity index. The results predict the areas to be at risk of erosion and progress of accretion in the fut
38#
發(fā)表于 2025-3-28 03:55:55 | 只看該作者
Assessment of Multiple Satellite-Based Precipitation Estimates Over Muneru Watershed of India,ifferent SPEs in detecting rainfall events on various time scales. Overall, statistical and contingency indices analysis revealed that the performance of the TRMM dataset in predicting rainfall was better than the PERSIANN and CMORPH datasets. It was observed that the correlation between watershed-w
39#
發(fā)表于 2025-3-28 08:47:53 | 只看該作者
40#
發(fā)表于 2025-3-28 11:31:28 | 只看該作者
Reference Crop Evapotranspiration Estimation Using Remote Sensing Technique,h spatial resolution remote sensing data, in dry season of South Sudan. The study evaluated the use of land surface temperature retrieved from Landsat 8 data as an alternative input for three commonly used temperature-based models (Blaney-Criddle, Thornthwaite and Hargreaves) in Juba County of South
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