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Titlebook: Geospatial Technology for Environmental Hazards; Modeling and Managem Pravat Kumar Shit,Hamid Reza Pourghasemi,Adimalla Book 2022 The Edit

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One-dimensional steady state conduction,in the SAR images and to derive the deformation map. The D-InSAR technique estimated deformation along the line-of-sight (LoS) indicated a significant deformation along the various cross-sections. Moreover, the comparison between the SRTM DEM and phase image derived DEM estimated the observed deform
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E. M. Wilson Ph.D., M.Sc., F.I.C.E.rict was observed, and in the south and east the low cluster was identified. Identifying the risk factors of specific malarial species provides key insights into the low transmission epidemiology of malaria that can guide the targeting of additional interventions.
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https://doi.org/10.1007/978-1-4615-6223-8area of badlands which yielded that ‘.’ values between 2.9 and above clearly coincide with the location of badlands in the basin. Two sample catchments were selected for determining fractal properties of these badlands and to understand microprocesses operating in this topography. Fractal dimensions
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Geospatial Technology for Multi-hazard Risk Assessment,ng remotely sensed data and geospatial techniques, as it permits participants to be intricate in numerous phases of prototypical development. This chapter also represented the methodology of machine learning and crowd sourcing, particularly for multi-hazard modelling, as a very valuable tool for ris
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Social Vulnerability of Arsenic Contaminated Groundwater in the Context of Ganga-Brahmaputra-Meghnaconsuming the poison through drinking water for the last four decades without even knowing the treatment protocols. RWH is one of the easy way-outs to combat the situation of the arsenic risk, especially for the poor socio-economic rural households. Thus, to prevent further damages, awareness creati
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