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Remote Sensing for Natural Hazards Assessment and Control

Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic l...

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Wedi'i Gadw mewn:

Manylion Llyfryddiaeth
Awduron Corfforaethol:	Mazzanti, Paolo, Romeo, Saverio
Fformat:	Livro
Iaith:	Inglês
Cyhoeddwyd:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Pynciau:	bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general bic Book Industry Communication::P Mathematics & science::PH Physics wildfires hillslope erosion satellite imagery rainfall erosivity RUSLE rockfall source areas identification relief slope angle rock mass strength rockfall susceptibility land subsidence Geographic Information System (GIS) InSAR machine learning algorithm meta-heuristics Iran k-Nearest Neighbor Random Forest fires Landsat 8 Sentinel 2 Terra ASTER MODIS burned mapping hazard chain turbidity suspended sediment detection extreme climate events tailing dam risk management spatiotemporal pattern mining El Niño remote sensing geographic information system flash floods visual analysis SAR offset tracking glacier surface velocity glacier instability glacier hazards ice avalanches ENSO glacier mass balance glacier surface energy earthquake coseismic effects field line resonance acoustic gravity waves lithosphere-magnetosphere coupling burnt area monitoring Australia Sydney wildfire earth observation mid-resolution sensors time series analysis burn severity climate zones deep learning PRISMA burned area Sentinel-2 morphological operator convolutional neural network casualty prediction importance assessment spatial division support vector regression digital image correlation phase correlation optical flow time series image stack landslides ground motion identification displacement mapping UAS risk assessment random forest DInSAR Yan’an city settlement prediction reclaimed land exponential model Asaoka method wide-area deformation deformation detection time-series InSAR stacking Turpan–Hami basin heavy rainfall shallow landslides TRIGRS model spatial distribution susceptibility assessment Longchuan County Guangdong Province MT-InSAR ground deformation monitoring Sentinel-1A/B image partition block adjustment Gaofen-2 Interferometric synthetic aperture radar (InSAR) freeze–thaw processes permafrost Qilian Mountains natural hazards hazard vulnerability
Mynediad Ar-lein:	https://directory.doabooks.org/handle/20.500.12854/98130
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

Remote Sensing for Natural Hazards Assessment and Control

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