Artificial intelligence algorithms in flood prediction: a general overview
M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
Vertical Accuracy Assessment of the ASTER, SRTM, GLO-30, and ATLAS in a Forested Environment
J Huang, Y Yu - Forests, 2024 - mdpi.com
Understory topography serves as a crucial data source, playing an instrumental role in
numerous forest ecosystem applications. However, the use of synthetic aperture radar …
numerous forest ecosystem applications. However, the use of synthetic aperture radar …
Flood Inundation and Depth Mapping Using Unmanned Aerial Vehicles Combined with High-Resolution Multispectral Imagery
The identification of flood hazards during emerging public safety crises such as hurricanes
or flash floods is an invaluable tool for first responders and managers yet remains out of …
or flash floods is an invaluable tool for first responders and managers yet remains out of …
Mapping flooded areas utilizing Google Earth Engine and open SAR data: a comprehensive approach for disaster response
G Singh, KS Rawat - Discover Geoscience, 2024 - Springer
One of the most destructive and frequent natural disasters in the world, flash floods cause
millions of people to be displaced annually in addition to seriously harming livelihoods and …
millions of people to be displaced annually in addition to seriously harming livelihoods and …
Detection of Two Major Flooding Events on the Island of Trinidad In 2018 and 2022 Using Google Earth Engine and Sentinel-1 SAR Imagery
D Ramsewak, A Jagassar, K Woodward… - IGARSS 2024-2024 …, 2024 - ieeexplore.ieee.org
This study demonstrates the utility of applying freely available synthetic-aperture radar
(SAR) data from the Sentinel-1 satellite within a Google Earth Engine (GEE) HYDRAfloods …
(SAR) data from the Sentinel-1 satellite within a Google Earth Engine (GEE) HYDRAfloods …
Mapping California Rice Using Optical and SAR Data Fusion with Phenological Features in Google Earth Engine
California, known for its diverse agriculture, is also a major producer of rice, especially in its
northern regions in Sacramento River Valley. Traditional methods, predominantly reliant on …
northern regions in Sacramento River Valley. Traditional methods, predominantly reliant on …
Mapping California Rice Using Optical and SAR Data Fusion with Phenological Features in Google Earth Engine
California, known for its diverse agriculture, is also a major producer of rice, especially in its
northern regions in Sacramento River Valley. Traditional methods, predominantly reliant on …
northern regions in Sacramento River Valley. Traditional methods, predominantly reliant on …