Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Guofeng Tao"'
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1856 (2024)
Involving the effect of atmospheric CO2 fertilization is effective for improving the accuracy of estimating gross primary production (GPP) using light use efficiency (LUE) models. However, the widely used LUE model, the remote sensing-driven Carnegie
Externí odkaz:
https://doaj.org/article/6c071dd5e6cd4514adbea0a0c3b9c87e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6532-6543 (2021)
Fractional vegetation cover (FVC) is a critical land surface parameter, and several large-scale FVC products have been generated based on remote sensing data. Among these existing products, the global land surface satellite (GLASS) FVC product, deriv
Externí odkaz:
https://doaj.org/article/64fcd071a3b74ed3a219d1b8c6e47be6
Autor:
Guofeng Tao, Kun Jia, Xiangqin Wei, Mu Xia, Bing Wang, Xianhong Xie, Bo Jiang, Yunjun Yao, Xiaotong Zhang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 101, Iss , Pp 102362- (2021)
Spatiotemporal fusion has provided a feasible way to generate fractional vegetation cover (FVC) data with high spatial and temporal resolution. However, when the currently available spatiotemporal fusion methods are applied over agricultural regions,
Externí odkaz:
https://doaj.org/article/f3b375ee808049ccb779ad862461fc16
Autor:
Duanyang Liu, Kun Jia, Haiying Jiang, Mu Xia, Guofeng Tao, Bing Wang, Zhulin Chen, Bo Yuan, Jie Li
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2165 (2021)
As an important land surface vegetation parameter, fractional vegetation cover (FVC) has been widely used in many Earth system ecological and climate models. In particular, high-quality and reliable FVC products on the global scale are important for
Externí odkaz:
https://doaj.org/article/7bb0b1e81fa542b587d261f119ca3b58
Autor:
Guofeng Tao, Kun Jia, Xiang Zhao, Xiangqin Wei, Xianhong Xie, Xiwang Zhang, Bing Wang, Yunjun Yao, Xiaotong Zhang
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2324 (2019)
As an important indicator to characterize the surface vegetation, fractional vegetation cover (FVC) with high spatio-temporal resolution is essential for earth surface process simulation. However, due to technical limitations and the influence of wea
Externí odkaz:
https://doaj.org/article/0e0dc278fa864e959d4bc4e63718b3b9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6532-6543 (2021)
Fractional vegetation cover (FVC) is a critical land surface parameter, and several large-scale FVC products have been generated based on remote sensing data. Among these existing products, the global land surface satellite (GLASS) FVC product, deriv
Autor:
Xiaotong Zhang, Guofeng Tao, Kun Jia, Mu Xia, Duanyang Liu, Bing Wang, Yunjun Yao, Xiangqin Wei
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 167:214-229
Fractional vegetation cover (FVC) is considered one of the most important vegetation parameters and is relevant to characterizing vegetation status and ecosystem function. An FVC with a fine spatial resolution of 30 m is essential for monitoring vege
Autor:
Bo Yuan, Guofeng Tao, Kun Jia, Duanyang Liu, Jie Li, Mu Xia, Zhulin Chen, Bing Wang, Haiying Jiang
Publikováno v:
Remote Sensing, Vol 13, Iss 2165, p 2165 (2021)
Remote Sensing; Volume 13; Issue 11; Pages: 2165
Remote Sensing; Volume 13; Issue 11; Pages: 2165
As an important land surface vegetation parameter, fractional vegetation cover (FVC) has been widely used in many Earth system ecological and climate models. In particular, high-quality and reliable FVC products on the global scale are important for
Autor:
Jie Li, Kun Jia, Xiangqin Wei, Mu Xia, Zhulin Chen, Yunjun Yao, Xiaotong Zhang, Haiying Jiang, Bo Yuan, Guofeng Tao, Linlin Zhao
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 108:102743
Publikováno v:
International Journal of Remote Sensing. 40:1594-1613
This study proposes the use of DMSP/OLS night-time light data as a surrogate measure for comprehensive indicators to evaluate regional sustainable development. First, Sustainable Development Indica...