Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tzu-Hsien Kuo"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9451-9469 (2024)
This article presents a novel hyperspectral target detection (HTD) based two-dimensional (2-D)–three-dimensional (3-D) parallel convolutional neural network (HTD 2D-3D-PCNN) model, which integrates the HTD technique to achieve outstanding performan
Externí odkaz:
https://doaj.org/article/217163fcc24b439a8307387b525c8338
Autor:
Tzu-Hsien Kuo, 郭子仙
104
Rainfall that reaches the soil surface can rapidly move into deeper layers in the form of bulk flow through the stem-root flow mechanism, which leads to the vertical redistribution of soil moisture. In this study, the stem-root-flow (SRF) me
Rainfall that reaches the soil surface can rapidly move into deeper layers in the form of bulk flow through the stem-root flow mechanism, which leads to the vertical redistribution of soil moisture. In this study, the stem-root-flow (SRF) me
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/23388326908744930269
Autor:
Tzu-Hsien Kuo, Katsuya Yamashita, Masataka Murakami, Yuji Zaizen, Takuya Tajiri, Narihiro Orikasa, Atsushi Saito, Wei-Chen Kuo
Publikováno v:
SOLA. 16:212-219
Publikováno v:
Hydrology and Earth System Sciences, vol 20, iss 4
Hydrology and Earth System Sciences, Vol 20, Iss 4, Pp 1509-1522 (2016)
Hydrology and Earth System Sciences, Vol 20, Iss 4, Pp 1509-1522 (2016)
Rainfall that reaches the soil surface can rapidly move into deeper layers in the form of bulk flow through the stem–root flow mechanism. This study developed the stem–root flow parameterization scheme and coupled this scheme with the Simplified
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f62b3d32b5e864d8887dc4fc9b8cfe84
https://www.hydrol-earth-syst-sci.net/20/1509/2016/
https://www.hydrol-earth-syst-sci.net/20/1509/2016/
Publikováno v:
Climate Extremes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66a729346d6d85f07558d1473b579d10
https://doi.org/10.1002/9781119068020.ch5
https://doi.org/10.1002/9781119068020.ch5