Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rencai Lin"'
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2374 (2024)
Land surface temperature (LST) serves as a pivotal component within the surface energy cycle, offering fundamental insights for the investigation of agricultural water environment, urban thermal environment, and land planning. However, LST monitoring
Externí odkaz:
https://doaj.org/article/f2cb77cc16354572a8060f050d6e4af2
Autor:
Rencai Lin, Zheng Wei, Rongxiang Hu, He Chen, Yinong Li, Baozhong Zhang, Fengjing Wang, Dongxia Hu
Publikováno v:
Atmosphere, Vol 15, Iss 6, p 647 (2024)
Surface soil moisture (SSM) reflects the dry and wet states of soil. Microwave remote sensing technology can accurately obtain regional SSM in real time and effectively improve the level of agricultural drought monitoring, and it is of great signific
Externí odkaz:
https://doaj.org/article/2c8b4eaa502e4ea493d6cbc8d5734a31
Publikováno v:
Water, Vol 14, Iss 20, p 3283 (2022)
The timely and accurate estimation of soil water content (SWC) and evapotranspiration (ET) is of great significance in drought estimation, irrigation management, and water resources comprehensive utilization. The unsupervised classification was used
Externí odkaz:
https://doaj.org/article/5ac036178cb74d9a947e5b851fde459b
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3183 (2022)
Land surface model is a powerful tool for estimating continuous soil water content (SWC) and surface fluxes. However, simulation error tends to accumulate in the process of model simulation due to the inevitable uncertainties of forcing data and the
Externí odkaz:
https://doaj.org/article/de0b7164110a4dc8a84a89a245fbb105
Publikováno v:
Atmosphere, Vol 13, Iss 6, p 930 (2022)
Accurate description of surface soil moisture (SSM) in vegetation-covered areas is of great significance to water resource management and drought monitoring. To remove the effect of vegetation on SSM estimation, the vegetation index obtained from Sen
Externí odkaz:
https://doaj.org/article/4f30b4f876ef4d9994c821f26adc0546
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2820 (2021)
Plastic greenhouses (PGs) are widely built near cities in China to produce vegetables and fruits. In order to promote sustainable agriculture, rural landscape construction, and better manage water resources, numerous remote sensing methods have been
Externí odkaz:
https://doaj.org/article/a995ff13acce4f1ca3d235dc119090df
Publikováno v:
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bef6b720f06830d5f24247b949c56ca
https://doi.org/10.1109/icceai55464.2022.00042
https://doi.org/10.1109/icceai55464.2022.00042
Publikováno v:
Remote Sensing, Vol 13, Iss 2820, p 2820 (2021)
Remote Sensing; Volume 13; Issue 14; Pages: 2820
Remote Sensing; Volume 13; Issue 14; Pages: 2820
Plastic greenhouses (PGs) are widely built near cities in China to produce vegetables and fruits. In order to promote sustainable agriculture, rural landscape construction, and better manage water resources, numerous remote sensing methods have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76fa2d3029b9f5859591b7ac76980b61
https://www.mdpi.com/2072-4292/13/14/2820
https://www.mdpi.com/2072-4292/13/14/2820
Publikováno v:
Agricultural Water Management. 260:107298
An accurate regional estimate of soil moisture content (SMC) is important for water management and drought monitoring. Traditional ground measurement methods of SMC are limited by the disadvantages of high cost and small scale. The development of rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbebd7381430c5157085a8e3df7da963
https://doi.org/10.1016/j.agwat.2021.107298
https://doi.org/10.1016/j.agwat.2021.107298