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pro vyhledávání: '"Mahesh, Ragini Bal"'
Autor:
Boehm, Vanessa, Leong, Wei Ji, Mahesh, Ragini Bal, Prapas, Ioannis, Nemni, Edoardo, Kalaitzis, Freddie, Ganju, Siddha, Ramos-Pollán, Raul
This work aims to produce landslide density estimates using Synthetic Aperture Radar (SAR) satellite imageries to prioritise emergency resources for rapid response. We use the United States Geological Survey (USGS) Landslide Inventory data annotated
Externí odkaz:
http://arxiv.org/abs/2211.10338
Autor:
Böhm, Vanessa, Leong, Wei Ji, Mahesh, Ragini Bal, Prapas, Ioannis, Nemni, Edoardo, Kalaitzis, Freddie, Ganju, Siddha, Ramos-Pollan, Raul
Rapid assessment after a natural disaster is key for prioritizing emergency resources. In the case of landslides, rapid assessment involves determining the extent of the area affected and measuring the size and location of individual landslides. Synt
Externí odkaz:
http://arxiv.org/abs/2211.09927
Autor:
Boehm, Vanessa, Leong, Wei Ji, Mahesh, Ragini Bal, Prapas, Ioannis, Nemni, Edoardo, Kalaitzis, Freddie, Ganju, Siddha, Ramos-Pollan, Raul
With climate change predicted to increase the likelihood of landslide events, there is a growing need for rapid landslide detection technologies that help inform emergency responses. Synthetic Aperture Radar (SAR) is a remote sensing technique that c
Externí odkaz:
http://arxiv.org/abs/2211.02869