Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Chaoxu Xia"'
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Following the earthquake, prompt evaluation of the distribution of coseismic landslides and estimation of potential disaster losses are crucial for emergency response and resettlement planning. The Luding earthquake of 2022 offers a valuable opportun
Externí odkaz:
https://doaj.org/article/8737ac3deea441b687b7a84d3dda644e
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 800-829 (2022)
Seismic disaster risk assessment results are an important way to reduce disaster losses and casualties. In this article, a seismic disaster risk assessment method is constructed based on the lethal level, and a quantitative assessment of the earthqua
Externí odkaz:
https://doaj.org/article/a1accf419fe44ea495d07d8f44a5fc52
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 11, Iss 1, Pp 335-356 (2020)
After earthquake, the correct and efficient earthquake emergency evacuation of pedestrian is crucial for reducing casualties. Based on the research on the quantitative of panic coefficient and the calibration of initial desired speed, this research h
Externí odkaz:
https://doaj.org/article/26dd47ae47424486932b4a5ed14c50a3
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 11, Iss 1, Pp 377-398 (2020)
This article focuses on the rapid assessment of possible numbers of casualties after an earthquake. We use data on earthquake casualties to study and verify the relationship between casualties and building types, building anti-lethal levels, seismic
Externí odkaz:
https://doaj.org/article/92c78e8deca341479d1246e0283c6490
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 101, Iss , Pp 102339- (2021)
Building damage after seismic disasters is one of the most vital factors threatening people's lives. The seismic vulnerability of buildings over large scales at the regional or country level is a key parameter for the mitigation of seismic disaster r
Externí odkaz:
https://doaj.org/article/a3c23d59ba6a4e198b2c0b85c9d4b134
Building Function Type Identification Using Mobile Signaling Data Based on a Machine Learning Method
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4697 (2022)
Identifying building function type (BFT) is vital for many studies and applications, such as urban planning, disaster risk assessment and management, and traffic control. Traditional remote sensing methods are commonly used for land use/cover classif
Externí odkaz:
https://doaj.org/article/fd7aa0ae6789460cbf2f6d4b6e0ac99c
Autor:
Yao, Lu1,2,3 (AUTHOR), Chaoxu, Xia1,2 (AUTHOR) xiachaoxu@ies.ac.cn, Siyuan, Ma1,2 (AUTHOR), Wenhua, Qi1,2 (AUTHOR), Gaozhong, Nie1,2 (AUTHOR), Huayue, Li1,2,4 (AUTHOR)
Publikováno v:
Landslides. Mar2024, Vol. 21 Issue 3, p583-605. 23p.
Autor:
Wenhua, Qi, Chaoxu, Xia, Jie, Zhang, Gaozhong, Nie, Huayue, Li, Ademovic, Naida, Nettis, Andrea, D'Amato,, Michele
Publikováno v:
Frontiers in Earth Science; 2024, p1-26, 26p
Publikováno v:
Natural Hazards. 116:3321-3351
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f82491cf0bbf5d443196d8636519f306
https://doi.org/10.1007/s11069-022-05811-z
https://doi.org/10.1007/s11069-022-05811-z
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-19
Considering the significant influence of clouds on thermal infrared (TIR) data sea surface temperature (SST) retrieval, this study focuses on the reduction of cloud influence on Moderate Resolution Imaging Spectroradiometer (MODIS) longwave SST retri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18638e6b6cd8b9d759b44177087502b3
https://doi.org/10.1109/tgrs.2021.3097505
https://doi.org/10.1109/tgrs.2021.3097505