Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Guichuan Kang"'
Autor:
Zhifei Wang, Li He, Zhengwei He, Xueman Wang, Linlong Li, Guichuan Kang, Wenqian Bai, Xin Chen, Yang Zhao, Yixian Xiao
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1117 (2024)
Grasslands play a vital role in the global ecosystem. Efficient and reproducible methods for estimating the grassland aboveground biomass (AGB) are crucial for understanding grassland growth, promoting sustainable development, and assessing the carbo
Externí odkaz:
https://doaj.org/article/cd81dd2b010c4ab78b9e900f0ce9f04d
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
Landslide disasters with dense vegetation and steep terrain, and high concealment frequently occur in Southwest China. Current field surveys, unmanned aerial vehicle (UAV) photogrammetry, and Interferometric Synthetic Aperture Radar (InSAR) technolog
Externí odkaz:
https://doaj.org/article/443427098a3b4956b4a5596146d13d6e
Publikováno v:
Land, Vol 11, Iss 8, p 1232 (2022)
Terrestrial carbon sequestration capacity is an important indicator of ecosystem service function, and the carbon storage value can reflect the climate regulation capacity of the regional ecological environment. The Zoigê alpine grassland is a repre
Externí odkaz:
https://doaj.org/article/318566086b184bc299d808a87c33ad76
Autor:
Li He, Xiantan Wu, Zhengwei He, Dongjian Xue, Wenqian Bai, Guichuan Kang, Xin Chen, Yuxiang Zhang
Landslide disasters occur frequently in the Loess Plateau of China, which seriously threatens the economic development and the safety of life and property. Using time-series Interferometric synthetic aperture radar (InSAR) to identify potential activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14bc0c2ed57c32c72719a16b4aca710f
https://doi.org/10.21203/rs.3.rs-1676142/v1
https://doi.org/10.21203/rs.3.rs-1676142/v1
Autor:
Xiaoyi Wu, Yuanbao Song, Wei Chen, Guichuan Kang, Rui Qu, Zhifei Wang, Jiaxian Wang, Pengyi Lv, Han Chen
Publikováno v:
Sustainability
Volume 15
Issue 5
Pages: 4328
Volume 15
Issue 5
Pages: 4328
Landslides seriously threaten human life and property. The rapid and accurate prediction of landslide geological hazard susceptibility is the key to disaster prevention and mitigation. Traditional landslide susceptibility evaluation methods have disa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf4fc87881df51ab5ebdf0ab909c1208
https://doi.org/10.3390/su15054328
https://doi.org/10.3390/su15054328