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Remote Sensing of Natural Hazards

Each year, natural hazards such as earthquakes, cyclones, flooding, landslides, wildfires, avalanches, volcanic eruption, extreme temperatures, storm surges, drought, etc., result in widespread loss of life, livelihood, and critical infrastructure globally. With the unprecedented growth of the human...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: 2022
Soggetti:
sequential estimation
InSAR time series
groundwater
land subsidence and rebound
earthquake
rapid mapping
damage assessment
deep learning
convolutional neural networks
ordinal regression
aerial image
landslide
machine learning models
remote sensing
ensemble models
validation
ice storm
forest ecosystems
disaster impact
post-disaster recovery
ice jam
snowmelt
flood mapping
monitoring and prediction
VIIRS
ABI
NUAE
flash flood
BRT
CART
naive Bayes tree
geohydrological model
landslide susceptibility
Bangladesh
digital elevation model
random forest
modified frequency ratio
logistic regression
automatic landslide detection
OBIA
PBA
random forests
supervised classification
landslides
uncertainty
K-Nearest Neighbor
Multi-Layer Perceptron
Random Forest
Support Vector Machine
agriculture
drought
NDVI
MODIS
landslide deformation
InSAR
reservoir water level
Sentinel-1
Three Gorges Reservoir area (China)
peri-urbanization
urban growth boundary demarcation
climate change
climate migrants
natural hazards
flooding
land use and land cover
night-time light data
Dhaka
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Accesso online:ONIX_20220916_9783036543086_32
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