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pro vyhledávání: '"terrestrial latent heat flux"'
Akademický článek
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Autor:
Yufu Li, Xinxin Sui, Yunjun Yao, Haixia Cheng, Lilin Zhang, Lu Wang, Jing Ning, Ke Shang, Junming Yang, Ruiyang Yu, Lu Liu, Xiaozheng Guo, Zijing Xie
Publikováno v:
Forests, Vol 12, Iss 12, p 1632 (2021)
In this study, six satellite-based terrestrial latent heat flux (LE) products were evaluated in the vegetation dominated Haihe River basin of North China. These LE products include Global Land Surface Satellite (GLASS) LE product, FLUXCOM LE product,
Externí odkaz:
https://doaj.org/article/528da66492c04ee4a5cc8f23088effe1
Autor:
Yunjun Yao, Zhenhua Di, Zijing Xie, Zhiqiang Xiao, Kun Jia, Xiaotong Zhang, Ke Shang, Junming Yang, Xiangyi Bei, Xiaozheng Guo, Ruiyang Yu
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 902 (2021)
An operational and accurate model for estimating global or regional terrestrial latent heat of evapotranspiration (ET) across different land-cover types from satellite data is crucial. Here, a simplified Priestley–Taylor (SPT) model was developed w
Externí odkaz:
https://doaj.org/article/bd2f81344ce3417780ebf87cb8ba8307
Autor:
Xiaozheng Guo, Yunjun Yao, Yuhu Zhang, Yi Lin, Bo Jiang, Kun Jia, Xiaotong Zhang, Xianhong Xie, Lilin Zhang, Ke Shang, Junming Yang, Xiangyi Bei
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2763 (2020)
Surface all-wave net radiation (Rn) is a crucial variable driving many terrestrial latent heat (LE) models that estimate global LE. However, the differences between different Rn products and their impact on global LE estimates still remain unclear. I
Externí odkaz:
https://doaj.org/article/eb5a2ae60a4448a39074faefea9486cd
Autor:
Xiangyi Bei, Yunjun Yao, Lilin Zhang, Yi Lin, Shaomin Liu, Kun Jia, Xiaotong Zhang, Ke Shang, Junming Yang, Xiaowei Chen, Xiaozheng Guo
Publikováno v:
Sensors, Vol 20, Iss 10, p 2811 (2020)
Reliable estimates of terrestrial latent heat flux (LE) at high spatial and temporal resolutions are of vital importance for energy balance and water resource management. However, currently available LE products derived from satellite data generally
Externí odkaz:
https://doaj.org/article/8bdfd1b3887742adb1237516ab48475f
Autor:
Ke Shang, Yunjun Yao, Yufu Li, Junming Yang, Kun Jia, Xiaotong Zhang, Xiaowei Chen, Xiangyi Bei, Xiaozheng Guo
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 687 (2020)
An accurate estimation of spatially and temporally continuous latent heat flux (LE) is essential in the assessment of surface water and energy balance. Various satellite-derived LE products have been generated to enhance the simulation of terrestrial
Externí odkaz:
https://doaj.org/article/b526a7ae8df240e9b492a05c975f3aeb
Autor:
Xianhong Xie, Yuhu Zhang, Xiaozheng Guo, Xiangyi Bei, Xiaotong Zhang, Yi Lin, Bo Jiang, Yunjun Yao, Junming Yang, Lilin Zhang, Kun Jia, Ke Shang
Publikováno v:
Remote Sensing
Volume 12
Issue 17
Pages: 2763
Remote Sensing, Vol 12, Iss 2763, p 2763 (2020)
Remote sensing, 12(17):2763, 1-21. MDPI
Volume 12
Issue 17
Pages: 2763
Remote Sensing, Vol 12, Iss 2763, p 2763 (2020)
Remote sensing, 12(17):2763, 1-21. MDPI
Surface all-wave net radiation (Rn) is a crucial variable driving many terrestrial latent heat (LE) models that estimate global LE. However, the differences between different Rn products and their impact on global LE estimates still remain unclear. I
Autor:
Zijing Xie, Lu Liu, Yunjun Yao, Xinxin Sui, Jing Ning, Xiaozheng Guo, Yufu Li, Ruiyang Yu, Ke Shang, Haixia Cheng, Lilin Zhang, Junming Yang, Lu Wang
Publikováno v:
Forests, Vol 12, Iss 1632, p 1632 (2021)
Forests; Volume 12; Issue 12; Pages: 1632
Forests, 12(12):1632. MDPI
Forests; Volume 12; Issue 12; Pages: 1632
Forests, 12(12):1632. MDPI
In this study, six satellite-based terrestrial latent heat flux (LE) products were evaluated in the vegetation dominated Haihe River basin of North China. These LE products include Global Land Surface Satellite (GLASS) LE product, FLUXCOM LE product,
Autor:
Zhiqiang Xiao, Ke Shang, Junming Yang, Zijing Xie, Xiangyi Bei, Xiaotong Zhang, Zhenhua Di, Yunjun Yao, Xiaozheng Guo, Ruiyang Yu, Kun Jia
Publikováno v:
Remote Sensing, Vol 13, Iss 902, p 902 (2021)
Remote Sensing
Volume 13
Issue 5
Pages: 902
Remote Sensing
Volume 13
Issue 5
Pages: 902
An operational and accurate model for estimating global or regional terrestrial latent heat of evapotranspiration (ET) across different land-cover types from satellite data is crucial. Here, a simplified Priestley–Taylor (SPT) model was developed w
Autor:
Yi Lin, Xiangyi Bei, Shaomin Liu, Xiaotong Zhang, Yunjun Yao, Xiaozheng Guo, Junming Yang, Lilin Zhang, Ke Shang, Xiaowei Chen, Kun Jia
Publikováno v:
Sensors (Switzerland), 20(10):2811, 1-21. Multidisciplinary Digital Publishing Institute (MDPI)
Sensors
Volume 20
Issue 10
Sensors, Vol 20, Iss 2811, p 2811 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 10
Sensors, Vol 20, Iss 2811, p 2811 (2020)
Sensors (Basel, Switzerland)
Reliable estimates of terrestrial latent heat flux (LE) at high spatial and temporal resolutions are of vital importance for energy balance and water resource management. However, currently available LE products derived from satellite data generally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32b9d41e5cac12fe9109809ef240986b
https://research.utwente.nl/en/publications/c4a4fe4d-7fe7-484f-b9cc-d0bbf35ec13a
https://research.utwente.nl/en/publications/c4a4fe4d-7fe7-484f-b9cc-d0bbf35ec13a