Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Cheng-Chien Liu"'
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 1730-1751 (2017)
This study describes the use of inventory-based landslide susceptibility index (LSI) models based on the selection of causative factors, functional relationships between factors and integration to a hazard-warning model. We first merged landslide inv
Externí odkaz:
https://doaj.org/article/dbdd9f02eadf49879fcd77cec40e6e5d
Publikováno v:
Water, Vol 12, Iss 10, p 2907 (2020)
Few models are capable of simultaneously simulating the sequences of landslide occurrence and sediment export. Quantification of the temporarily stored sediment within the watershed plays a key role to link hillslope landslides with fluvial sediment
Externí odkaz:
https://doaj.org/article/db5b23651e9f44f5bb4204d5cb37262b
Autor:
Cheng-Chien Liu
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1555 (2020)
The viewing and sharing of remote sensing optical imagery through the World Wide Web is an efficient means for providing information to the general public and decision makers. Since clouds and hazes inevitably limit the contrast and deteriorate visua
Externí odkaz:
https://doaj.org/article/8dd8668c34f94d82bce0423ce5ea4cfe
Autor:
Cheng Chien Liu
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine. 9:138-156
Tracking the movement of natural surface features across the time intervals between successive images has gained widespread acceptance for mapping ocean surface currents (OSCs). The 500-m and 1-h spatiotemporal resolutions of the Geostationary Ocean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::371f4688837df4fe506993b5659b36df
https://doi.org/10.1109/mgrs.2021.3074533
https://doi.org/10.1109/mgrs.2021.3074533
Publikováno v:
Remote Sensing, Vol 7, Iss 9, Pp 11954-11973 (2015)
We report the successful case of a rapid response to a flash flood in I-Lan County of Taiwan with a map of inundated areas derived from COSMO-SkyMed 1 radar satellite imagery within 24 hours. The flood was caused by the intensive precipitation brough
Externí odkaz:
https://doaj.org/article/728aac9ea411488fa0ccd7064cdc9c5f
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 592 (2019)
Taijiang National Park (TNP) of Taiwan is the northernmost geographical position of mangrove habitats in the Northern Hemisphere. Instead of occupying a vast region with a single species, the mangroves in TNP are usually mingled with other plants in
Externí odkaz:
https://doaj.org/article/5900d5a75b8740869c558c1236a36428
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 3, p 145 (2019)
Watersheds represent natural units of social–ecological systems and affect crop productivity. Extreme weather events accelerate the natural erosion process by triggering more landslides in watersheds. To achieve the land degradation neutrality set
Externí odkaz:
https://doaj.org/article/9cd244ea716f431693b2bf3633b7f0f7
Autor:
Cheng-Chien Liu, Yu-Cheng Zhang, Pei-Yin Chen, Chien-Chih Lai, Yi-Hsin Chen, Ji-Hong Cheng, Ming-Hsun Ko
Publikováno v:
Remote Sensing, Vol 11, Iss 2, p 119 (2019)
Detecting changes in land use and land cover (LULC) from space has long been the main goal of satellite remote sensing (RS), yet the existing and available algorithms for cloud classification are not reliable enough to attain this goal in an automate
Externí odkaz:
https://doaj.org/article/f84de2c9eb6f4053bfd77ce36b573bbb
Autor:
Thi To Ngan Nguyen, Cheng-Chien Liu
Publikováno v:
Sensors, Vol 19, Iss 3, p 505 (2019)
This paper proposes a new approach of using the analytic hierarchy process (AHP), in which the AHP was combined with bivariate analysis and correlation statistics to evaluate the importance of the pairwise comparison. Instead of summarizing expert ex
Externí odkaz:
https://doaj.org/article/23f4fa7b46554e0dbcf47a3550fa7e85
Autor:
Cheng-Chien Liu1,2 ccliu88@mail.ncku.edu.tw, Ryosuke Nakamura3 r.nakamura@aist.go.jp, Ming-Hsun Ko1 take999kimo@gmail.com, Tomoya Matsuo1 tomoya3823@nifty.com, Soushi Kato3 kato.soushi@aist.go.jp, Hsiao-Yuan Yin4 sammya@mail.swcb.gov.tw, Chung-Shiou Huang5 abies@forest.gov.tw
Publikováno v:
Remote Sensing. Jan2017, Vol. 9 Issue 1, p79. 13p.