Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Hsiao Yuan Yin"'
Autor:
Long Nguyen Thanh, Yao-Min Fang, Tien-Yin Chou, Thanh-Van Hoang, Quoc Dinh Nguyen, Chen-Yang Lee, Chin-Lun Wang, Hsiao-Yuan Yin, Yi-Chia Lin
Publikováno v:
Water, Vol 14, Iss 18, p 2814 (2022)
Ban Khoang is a mountainous commune in Sa Pa district located in the central part of Lao Cai province, Vietnam. Landslides occur frequently in this area and seriously affect the local living conditions. To help the local authority in developing a lan
Externí odkaz:
https://doaj.org/article/05996fc04c2c4a209679771f721d8e7e
Publikováno v:
Water, Vol 13, Iss 5, p 712 (2021)
In order to lower the risks of large-scale landslides and improve community resilience in Taiwan, a long-term project has been promoted by the Soil and Water Conservation Bureau since 2017. In this study, methods to build an emergency response framew
Externí odkaz:
https://doaj.org/article/61147f63819f42f19469cb10273cc5c1
Autor:
Meei-Ling Lin, Te-Wei Chen, Ching-Weei Lin, Dia-Jie Ho, Keng-Ping Cheng, Hsiao-Yuan Yin, Mei-Chen Chen
Publikováno v:
Remote Sensing, Vol 6, Iss 1, Pp 42-63 (2013)
Large-scale landslides often cause severe damage to lives and properties; therefore, their identification is essential in order to adopt proper mitigation measures. The objective of this study was to set up a methodological approach to help identify
Externí odkaz:
https://doaj.org/article/1f9684fb4ba2443aacd573f1d23ba0af
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 9, p 374 (2018)
A landslide inventory serves as the basis for assessing landslide susceptibility, hazard, and risk. It is generally prepared from optical imagery acquired from spaceborne or airborne platforms, in which shadows are inevitably found in mountainous are
Externí odkaz:
https://doaj.org/article/cdcc0318abdd4a9c8514354fef0e89e2
Autor:
Cheng-Chien Liu, Ryosuke Nakamura, Ming-Hsun Ko, Tomoya Matsuo, Soushi Kato, Hsiao-Yuan Yin, Chung-Shiou Huang
Publikováno v:
Remote Sensing, Vol 9, Iss 1, p 79 (2017)
The successful launch and operation of Landsat-8 extends the remarkable 40-year acquisition of space-based land remote-sensing data. To respond quickly to emergency needs, real-time data are directly downlinked to 17 ground stations across the world
Externí odkaz:
https://doaj.org/article/c918212e143a46b89b21819a5d3e1ef8
Publikováno v:
Water
Volume 13
Issue 5
Water, Vol 13, Iss 712, p 712 (2021)
Volume 13
Issue 5
Water, Vol 13, Iss 712, p 712 (2021)
In order to lower the risks of large-scale landslides and improve community resilience in Taiwan, a long-term project has been promoted by the Soil and Water Conservation Bureau since 2017. In this study, methods to build an emergency response framew
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f3ce91991ee167b021b76623fca0063
This study added the dams and retain basin according to their dimensions measured with UAV onto the original 5m-resolition DEM to compare the effect of mitigation structures to debris flow hazard. The original and the modified DEMs were both applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d86a9f65a00f14b6dfecb14be5d1ada
https://doi.org/10.5194/egusphere-egu2020-6686
https://doi.org/10.5194/egusphere-egu2020-6686
Due to climate change, precipitation characteristics have been significantly variation and rainfall patterns are presented more concentrated, high-intensity and long-duration trend in the past two decades. Catastrophic debris-flow disaster threaten l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4105d3b0cde8ff19d1badeb3293476e0
https://doi.org/10.5194/egusphere-egu2020-8022
https://doi.org/10.5194/egusphere-egu2020-8022
This study develops the spatial prediction and hazard assessment models of hillslope type debris flow (HDF) to enhance the prevention and early warning of the HDF disaster to the villages. Induced by serious earthquakes and extreme weather conditions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::261f1487fa1b71525e8ca516b9420418
https://doi.org/10.5194/egusphere-egu2020-12901
https://doi.org/10.5194/egusphere-egu2020-12901
Autor:
Kuo-Jen Chang, Chien Chih Chen, Ching Weei Lin, Hsin-Hua Huang, Yi-Hsuan Lee, Rou-Fei Chen, Hsiao-Yuan Yin, Mei-Chen Feng, Li Wei Kuo, Bo-Hung Lin, Chih-Yu Kuo, Ya-Ju Hsu, Chuen-Fa Ni, Kuo-Lung Wang, Meei-Ling Lin
It is always tricky to definite deep-seated or massive scale landslide investigation and monitoring. The scars could map from a high-resolution digital elevation model. However, the activity or sliding depth is merely difficult to define before insta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46931fda16498be704305cd7e1ca93e6
https://doi.org/10.5194/egusphere-egu2020-6211
https://doi.org/10.5194/egusphere-egu2020-6211