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Titlebook: Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management; Vijay P. Singh,Shalini Yadav,Ram Narayan Y

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發(fā)表于 2025-3-21 19:19:59 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management
影響因子2023Vijay P. Singh,Shalini Yadav,Ram Narayan Yadava
視頻videohttp://file.papertrans.cn/160/159171/159171.mp4
發(fā)行地址Provides comprehensive information on applications of remote sensing and GIS in built infrastructure management.Discusses remote sensing and GIS tools and technologies useful in agriculture and forest
學科分類Water Science and Technology Library
圖書封面Titlebook: Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management;  Vijay P. Singh,Shalini Yadav,Ram Narayan Y
影響因子.This book discusses the problems in planning, building, and management strategies in the wake of application and expansion of remote sensing and GIS products in natural resources and infrastructure management. The book suggests proactive solutions to problems of natural resources and infrastructure management, providing alternatives for strategic planning, effective delivery, and growth perspectives. The uniqueness of the book is its broader spectrum of coverage with related interconnections and interdependences across science, engineering, and innovation.? The book contains information that can be downscaled to the local level.. .?Presenting a wide spectrum of viewpoints and approaches, the book is a collective of topics such as application to agriculture and forestry (land and landscape, agriculture, forestry management and deforestation), water resources and ecology (hydro-meteorological, climate diagnostics, and prognostics, water resources management, environment management, cross-scale ecology and resilience), urban management (urban planning, design, construction and operations of infrastructure, natural disasters, novel approaches to upgrade old infrastructure), hydro info
Pindex Book 2022
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RETRACTED CHAPTER: Application of GIS and Remote Sensing Tools in Assessment of Drought Using Satel
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Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management
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After DRAM - Some Novel Contenders, the RUSLE and MMF models was 20.42 and 26.29 tons/ha/year, respectively. The coefficient of determination for sediment yield using the RUSLE and MMF models was 0.80 and 0.75, with a variation of 13.41% and 21.62%, respectively. Further, the total catchment area was categorized into the different er
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