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Titlebook: Geospatial Technologies for Resources Planningand Management; Chandra Shekhar Jha,Ashish Pandey,Vijay Singh Book 2022 The Editor(s) (if ap

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书目名称Geospatial Technologies for Resources Planningand Management
编辑Chandra Shekhar Jha,Ashish Pandey,Vijay Singh
视频video
概述Presents latest research from Indian Space Research Organisation and the Indian Institute of Technology experts.Brings together field and research experiences of professionals and practitioners.Repres
丛书名称Water Science and Technology Library
图书封面Titlebook: Geospatial Technologies for Resources Planningand Management; Chandra Shekhar Jha,Ashish Pandey,Vijay Singh Book 2022 The Editor(s) (if ap
描述.This book focuses on the application of geospatial technologies for resource planning and management for the key natural resources, e.g. water, agriculture and forest as well as the decision support system (DSS) for infrastructure development. We have seen in the past four decades that the growing complexities of sustainable management of natural resources management have been very challenging. The book has been written to leverage the current geospatial technologies that integrate the remotely sensed data available from various platforms, the precise locational data providing geospatial intelligence, and the advanced integration tools of Geographical Information Systems (GIS)...Geospatial technologies have been used for water resources management employing geomorphological characteristics, analysis of river migration pattern, understanding the large-scale hydrological process, wet land classification and monitoring, analysis of glacial lake outburst flood (GLOF), assessmentof environmental flow and soil erosion studies, water quality modelling and assessment and rejuvenation of paleochannels through groundwater recharge...Geospatial technologies have been applied for crop classif
出版日期Book 2022
关键词Geospatial Technology; Water Resources; Agriculture Management; Infrastructure Management; Forest Manage
版次1
doihttps://doi.org/10.1007/978-3-030-98981-1
isbn_softcover978-3-030-98983-5
isbn_ebook978-3-030-98981-1Series ISSN 0921-092X Series E-ISSN 1872-4663
issn_series 0921-092X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Long-Term Analysis of River Migration Pattern Using Geospatial Techniques—A Case Study of Upper Parral phenomena like flood or by construction of man-made structures like dams, barrages. Study of river migration patterns is of much importance and needs historical river course information. Remote sensing satellite data provides synoptic and temporal coverage useful for change analysis. Geospatial
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Space-Borne Scatterometers for Understanding the Large-Scale Land Hydrological Processes,orne scatterometers are active microwave radar instruments that measure the normalized radar cross-section or backscatter of the surface. A separate measurement of the noise-only power is also measured to determine backscatter and estimate brightness temperatures. These sensors mainly operate in Ku
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Delineation and Monitoring of Wetlands Using Time Series Earth Observation Data and Machine Learninresources on the earth. The rapid loss of wetlands during the past decades necessitates continuous monitoring of wetlands with respect to its hydrological changes, vegetation, soil etc. The Ramsar Convention of wetland conservation plays a significant role in outlining the internationally important
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Geospatial Analysis of Glacial Lake Outburst Flood (GLOF), been frequently observed that cause significant damage in valleys downstream areas. GLOF is one of the major unexpected serious hazards that can release a large volume of water with debris cover in a very short interval of time that caused loss of lives, properties, and severe damage to downstream
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Water Quality Assessment from Medium Resolution Satellite Data Using Machine Learning Methods,spended particulate matter, are considered as key indicators defining the water quality of any aquatic system. To maintain the good water quality, it is important to continuously monitor the spatio-temporal variability of these key indicators. Optical satellite remote sensing techniques in the visib
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Crop Classification in the Mixed Cropping Environment Using SAR Data and Machine Learning Algorithmcostly. The state-of-art of remote sensing plays vital role in the generation of pre-harvest crop inventory. Optical remote sensing is typically used for crop mapping. However, optical remote sensors face serious limitations due to cloud cover, especially in tropical regions, where Synthetic Apertur
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