Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zushuai Wei"'
Autor:
Changlu Cui, Yizhuo Meng, Daxiang Xiang, Zhiming Hong, Fengmin Hu, Beibei Yang, Chongxin Tao, Zushuai Wei, Wen Zhang, Linyi Li
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Soil moisture (SM) plays an essential role in the hydrological cycle, drought monitoring, and water resources management. However, passive microwave remote sensing products offer coarse spatial resolutions (approximately 25–40 km), greatly limiting
Externí odkaz:
https://doaj.org/article/a9f3850bb2b34a229b5a7d09a90916c6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5970-5985 (2024)
Dense soil moisture observation networks serve as the primary means to validate large-scale satellite soil moisture products. However, maintaining intensive observation demands substantial labor and financial resources. It is therefore crucial to add
Externí odkaz:
https://doaj.org/article/15292fd70d0d4bc097aa68498194633c
Publikováno v:
Geo-spatial Information Science, Pp 1-19 (2023)
Lake Erhai, a lake in the early stage of eutrophication, has been threatened by algal blooms (particularly the overproliferation of blue-green algae), which can have an impact on drinking water safety and the lake’s ecosystem. Understanding the gov
Externí odkaz:
https://doaj.org/article/4f06a04462024184ac3cbc53d2226e37
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6902-6916 (2023)
The SM2RAIN (soil moisture to rain) model has been widely used for rainfall estimation worldwide. However, due to the lack of sufficient ground observation, the SM2RAIN model driven by different passive microwave soil moisture products over the Tibet
Externí odkaz:
https://doaj.org/article/79a868e60f7e44f4aa2319e5df413529
Autor:
Fengmin Hu, Zushuai Wei, Xining Yang, Wenjun Xie, Yuanxi Li, Changlu Cui, Beibei Yang, Chongxin Tao, Wen Zhang, Lingkui Meng
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 40, Iss , Pp 101027- (2022)
Soil moisture (SM) is an indispensable variable in drought monitoring and weather forecast. L-band is found to be the most suitable band for retrieving surface SM. Here, we evaluate two L-band passive microwave SM products Soil Moisture Active and Pa
Externí odkaz:
https://doaj.org/article/77be82b4d60742109663f597dae83918
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4574 (2021)
Land surface temperature (LST) is one of the most valuable variables for applications relating to hydrological processes, drought monitoring and climate change. LST from satellite data provides consistent estimates over large scales but is only avail
Externí odkaz:
https://doaj.org/article/df63c917d5994317ae9723f4e9cd8504
Publikováno v:
Sustainability; Volume 14; Issue 24; Pages: 16874
Chlorophyll-a plays an essential biochemical role in the eutrophication process, and is widely considered an important water quality indicator for assessing human activity’s effects on aquatic ecosystems. Herein, 20 years of moderate resolution ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa7d6ade6219022b66a890838212dd1b
Autor:
Jian Yang, Zushuai Wei, Abdul Mounem Mouazen, Ruili Shen, Yiyun Chen, Hang Cheng, Yongsheng Hong, Gang Xu, Songchao Chen, Yaolin Liu, Long Guo, Zhou Shi
Publikováno v:
ENVIRONMENTAL POLLUTION
Previous studies have mostly focused on using visible-to-near-infrared spectral technique to quantitatively estimate soil cadmium (Cd) content, whereas little attention has been paid to identifying soilCd contaminationfrom a perspective of spectral c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49db8ab4d04089878949348b264dd694
https://pubmed.ncbi.nlm.nih.gov/34530244
https://pubmed.ncbi.nlm.nih.gov/34530244
Publikováno v:
Remote Sensing; Volume 13; Issue 22; Pages: 4574
Remote Sensing, Vol 13, Iss 4574, p 4574 (2021)
Remote Sensing, Vol 13, Iss 4574, p 4574 (2021)
Land surface temperature (LST) is one of the most valuable variables for applications relating to hydrological processes, drought monitoring and climate change. LST from satellite data provides consistent estimates over large scales but is only avail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db40caeec8c3d524451384c89d9e7ac8
https://doi.org/10.3390/rs13224574
https://doi.org/10.3390/rs13224574