Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Leong, Wei Ji"'
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
Autor:
Li, Ziwei, Leong, Wei Ji, Durand, Michael, Howat, Ian, Wadkowski, Kylie, Yadav, Bidhyananda, Moortgat, Joachim
Publikováno v:
In Journal of Hydrology November 2023 626 Part A
Open-source machine learning tools (e.g., TensorFlow, PyTorch) have accelerated deep learning research in the Earth Sciences. However, considerable effort is typically required to link the large, multi-dimensional datasets common in the Earth Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48aeb0c364f391941cd00296be4e3fac
Autor:
Leong, Wei Ji1 (AUTHOR) weiji.leong@vuw.ac.nz, Horgan, Huw Joseph1 (AUTHOR) huw.horgan@vuw.ac.nz
Publikováno v:
Cryosphere. Nov2020, Vol. 14 Issue 11, p3687-3705. 19p.
Short summary Spatial data are ubiquitous across the Earth, Ocean, Geo & Atmospheric Sciences. PyGMT is an open-source Python package that specializes in processing and plotting spatial data. We will provide a demonstration of the latest developments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50a3059a912d60d51bf23b779d101207
Autor:
Leong, Wei Ji1 (AUTHOR) weiji.leong@vuw.ac.nz, Horgan, Huw1 (AUTHOR)
Publikováno v:
Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.