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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啟發(fā)

,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

obtuse

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

SUGAR

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

鼓掌

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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兇兆

造反,叛亂

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

認(rèn)識(shí)

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