Zobrazeno 1 - 10
of 128
pro vyhledávání: '"light use efficiency model"'
Autor:
Guangyu Lv, Xuan Li, Lei Fang, Yanbo Peng, Chuanxing Zhang, Jianyu Yao, Shilong Ren, Jinyue Chen, Jilin Men, Qingzhu Zhang, Guoqiang Wang, Qiao Wang
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1966 (2024)
Net Primary Productivity (NPP) is a critical metric for assessing terrestrial carbon sequestration and ecosystem health. While advancements in NPP modeling have enabled estimation at various scales, hidden anomalies within NPP time series necessitate
Externí odkaz:
https://doaj.org/article/d26bd9d31ed745678efe249ac61ffc56
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
ABSTRACTAs the most commonly used driven data for gross primary productivity (GPP) estimation, satellite remote sensing vegetation indexes (VI), such as the leaf area index (LAI), often seriously suffer from data quality problems induced by cloud con
Externí odkaz:
https://doaj.org/article/a8aebcee583549cab1335d0e88a34f37
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1361 (2024)
Gross primary productivity (GPP) is a reliable measure of the carbon sink potential of terrestrial ecosystems and is an essential element of terrestrial carbon cycle research. This study employs the diffuse fraction-based two-leaf light-use efficienc
Externí odkaz:
https://doaj.org/article/7d0caa01a59f49e1bcc5065a7a1ebe7d
Autor:
Zhilong Li, Ziti Jiao, Chenxia Wang, Siyang Yin, Jing Guo, Yidong Tong, Ge Gao, Zheyou Tan, Sizhe Chen
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5537 (2023)
Recently, light use efficiency (LUE) models driven by remote sensing data have been widely employed to estimate the gross primary productivity (GPP) of different terrestrial ecosystems at global or regional scales. Furthermore, the two-leaf light use
Externí odkaz:
https://doaj.org/article/16958e374ed9478c90c68a9a1131e26c
Akademický článek
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Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
The gross primary productivity (GPP) of terrestrial ecosystems reflects the total amount of organic carbon assimilated by vegetation through photosynthesis per given unit of time and area, which represents the largest carbon flux in carbon budget and
Externí odkaz:
https://doaj.org/article/a2c7ffbc16094689a8d74b7ef6f8df4b
Autor:
Nuo Cheng, Yanlian Zhou, Wei He, Weimin Ju, Tingting Zhu, Yibo Liu, Ping Song, Wenjun Bi, Xiaoyu Zhang, Xiaonan Wei
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 117, Iss , Pp 103179- (2023)
Remote sensing-driven light use efficiency (LUE) models have been widely used to calculate gross primary productivity (GPP) for various terrestrial ecosystems, but there was limited knowledge on the capacity of LUE models to evaluate the GPP in paddy
Externí odkaz:
https://doaj.org/article/678c63877d0f4286b030e78011662feb
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4216 (2023)
Maize is one of the main food crops and is widely planted in China; however, it is difficult to get timely and precise information on yields. Because of the benefits of remote sensing technology, satellite-based models (e.g., eddy covariance light us
Externí odkaz:
https://doaj.org/article/d5310f4938a54e639aa1f67f263a7494
Autor:
Yulong Lv, Hong Chi, Peichen Shi, Duan Huang, Jialiang Gan, Yifan Li, Xinyi Gao, Yifei Han, Cun Chang, Jun Wan, Feng Ling
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 4002 (2023)
The maximum light use efficiency (LUE) (ε0) is a key essential parameter of the LUE model, and its accurate estimation is crucial for quantifying gross primary production (GPP) and better understanding the global carbon budget. Currently, a comprehe
Externí odkaz:
https://doaj.org/article/2425d36b7b004a62ae03aee7ee05aa3c
Akademický článek
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