Zobrazeno 1 - 10
of 1 862
pro vyhledávání: '"Jing M, Chen"'
Publikováno v:
Geo-spatial Information Science, Pp 1-22 (2024)
The Gross Primary Productivity (GPP) is an important component in regional and global carbon budgets. Southeastern China has experienced vegetation greening and climate change. Yet, it remains unclear how these changes have impacted GPP in this regio
Externí odkaz:
https://doaj.org/article/934e2b2d99c44143b784a19bd2ace776
Publikováno v:
Geo-spatial Information Science, Pp 1-16 (2023)
Light Detection and Ranging (LiDAR), with its ability to capture vegetation vertical profile, could be a unique technique for deriving Leaf Area Index (LAI). A global LAI product at 25-m spatial resolution was derived from the Global Ecosystem Dynami
Externí odkaz:
https://doaj.org/article/5e224ce58ec44cf2b767189315d21e1e
Autor:
Meihong Fang, Xiangyan Hu, Jing M. Chen, Xueshiyi Zhao, Xuguang Tang, Haijian Liu, Mingzhu Xu, Weimin Ju
Publikováno v:
Forests, Vol 15, Iss 8, p 1463 (2024)
Vegetation canopy water content (CWC) crucially affects stomatal conductance and photosynthesis and, consequently, is a key state variable in advanced ecosystem models. Remote sensing has been shown to be an effective tool for retrieving CWCs. Howeve
Externí odkaz:
https://doaj.org/article/7934728cb79549dda0a95946a9fed97a
Autor:
Xiaoyan Kang, Changping Huang, Jing M. Chen, Xin Lv, Jin Wang, Tao Zhong, Huihan Wang, Xianglong Fan, Yiru Ma, Xiang Yi, Ze Zhang, Lifu Zhang, Qingxi Tong
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract Cotton maps (10 m) of Xinjiang (XJ_COTTON10), which is the largest cotton production region of China, were produced from 2018 to 2021 through supervised classification. A two-step mapping strategy, i.e., cropland mapping followed by cotton e
Externí odkaz:
https://doaj.org/article/fcd4de095b524d479160b387314d1ba9
Autor:
Xiaowen Guo, Rong Wang, Jing M. Chen, Zhiqiang Cheng, Hongda Zeng, Guofang Miao, Zhiqun Huang, Zhenxiong Guo, Jianjie Cao, Jinhui Niu
Publikováno v:
Geo-spatial Information Science, Pp 1-14 (2023)
Individual inversions of Leaf Area Index (LAI) and Leaf Chlorophyll Content (LCC) have problems due to the mutual interference between these two vegetation parameters on remote sensing signals. We therefore explore synergetic inversion of these two p
Externí odkaz:
https://doaj.org/article/0e1a99aa01c941e489db2eafb972f849
Autor:
Rong Shang, Jing M. Chen, Mingzhu Xu, Xudong Lin, Peng Li, Guirui Yu, Nianpeng He, Li Xu, Peng Gong, Liangyun Liu, Han Liu, Wenzhe Jiao
Publikováno v:
The Innovation, Vol 4, Iss 6, Pp 100515- (2023)
Forests are chiefly responsible for the terrestrial carbon sink that greatly reduces the buildup of CO2 concentrations in the atmosphere and alleviates climate change. Current predictions of terrestrial carbon sinks in the future have so far ignored
Externí odkaz:
https://doaj.org/article/e5f51d2af2a04f31914ac7d7628983b5
Autor:
Fei Jiang, Wei He, Weimin Ju, Hengmao Wang, Mousong Wu, Jun Wang, Shuzhuang Feng, Lingyu Zhang, Jing M. Chen
Publikováno v:
Fundamental Research, Vol 2, Iss 3, Pp 357-366 (2022)
China, the Unite States (US), the European Union (EU), India, and Russia are the world's top 5 fossil fuel and cement CO2 (FFC) emitting countries or regions (CRs). It is very important to understand their status of carbon neutrality, and to monitor
Externí odkaz:
https://doaj.org/article/2bb7b1f29b854cf6b0d2ee9a065034c4
Autor:
Lingyu Zhang, Fei Jiang, Wei He, Mousong Wu, Jun Wang, Weimin Ju, Hengmao Wang, Yongguang Zhang, Stephen Sitch, Anthony P. Walker, Xu Yue, Shuzhuang Feng, Mengwei Jia, Jing M. Chen
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 6, Pp n/a-n/a (2023)
Abstract Satellite XCO2 retrievals could improve the estimates of surface carbon fluxes, but it remains unknown on what scales these estimates are robust. Here, we use the time‐dependent Bayesian synthesis top‐down method and prior net ecosystem
Externí odkaz:
https://doaj.org/article/c7ad156082f545209edffdcdf2ff980e
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3869 (2023)
Forest biomass dynamics are important indicators of forest productivity and carbon sinks, which are useful for evaluating forest ecological benefits and management options. Rapid and accurate methods for monitoring forest biomass would serve this pur
Externí odkaz:
https://doaj.org/article/d2bc158e4e7b4603afa70a900d85f87f
Autor:
Jun Geng, Jing M. Chen, Weiliang Fan, Lili Tu, Yong Pang, Gang Yuan, Lichen Xu, Canyang Zhu, Teng Zhang, Chunju Zhang, Zhourun Ye, Yongchao Zhu, Zhenxuan Li
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2901-2913 (2022)
The influence of tree distribution and slope on canopy gap fraction (GF) and bidirectional reflectance factor (BRF) is shown here to be non-negligible. Trees are often assumed to be randomly distributed in natural forests due to random distribution o
Externí odkaz:
https://doaj.org/article/f6c01cd663aa4520b309701c7294738c