Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Ainong Li"'
Autor:
Amin Naboureh, Ainong Li, Jinhu Bian, Guangbin Lei, Xi Nan, Zhengjian Zhang, Siavash Shami, Xiaohan Lin
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Air pollution is the greatest health risk to human health, as acknowledged in several Sustainable Development Goals (SDG), such as SDG-1, SDG-3, SDG-7, and SDG-11. Despite global comprehension of the positive effect of Green Space Coverage (GSC) on m
Externí odkaz:
https://doaj.org/article/1f93b6b5db124bda854b83c3f488144c
Autor:
Shunlin Liang, Tao He, Jianxi Huang, Aolin Jia, Yuzhen Zhang, Yunfeng Cao, Xiaona Chen, Xidong Chen, Jie Cheng, Bo Jiang, Huaan Jin, Ainong Li, Siwei Li, Xuecao Li, Liangyun Liu, Xiaobang Liu, Han Ma, Yichuan Ma, Dan-Xia Song, Lin Sun, Yunjun Yao, Wenping Yuan, Guodong Zhang, Yufang Zhang, Liulin Song
Publikováno v:
Science of Remote Sensing, Vol 10, Iss , Pp 100152- (2024)
For many applications, raw satellite observations need to be converted to high-level products of various essential environmental variables. While numerous products are available at kilometer spatial resolutions, there are few global products at high
Externí odkaz:
https://doaj.org/article/6eb4e88a9de547e8aed9553e1cc5f20a
Publikováno v:
Atmosphere, Vol 15, Iss 9, p 1109 (2024)
Severely cold weather reduces the willingness of residents to open windows while cooking. This results in an insufficient replenishment of makeup air and a reduction in the range hood discharge capacity. For an effective trade-off between indoor air
Externí odkaz:
https://doaj.org/article/ee5848d78d0b49448b2861114f3e0125
Autor:
Xinyao Xie, Ainong Li
Publikováno v:
Geo-spatial Information Science, Pp 1-12 (2023)
High spatial resolution Gross Primary Productivity (GPP) estimation makes it feasible to better understand the spatial heterogeneity of mountain vegetation photosynthesis. Spatial downscaling is a practical approach to obtaining high resolution GPP e
Externí odkaz:
https://doaj.org/article/921fe3f1f3374c62a8554286c14d7f56
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Land Cover (LC) maps offer vital knowledge for various studies, ranging from sustainable development to climate change. The China Central-Asia West-Asia Economic Corridor region, as a core component of the Belt and Road initiative program, h
Externí odkaz:
https://doaj.org/article/499b6a4b697d4badbcf4346c8856d15e
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 6, p 209 (2024)
Topographic scale characteristics contain valuable information for interpreting landform structures, which is crucial for understanding the spatial differentiation of landforms across large areas. However, the absence of parameters that specifically
Externí odkaz:
https://doaj.org/article/bd5915d10aaa4682ac31157286b442b5
Publikováno v:
Forests, Vol 15, Iss 5, p 868 (2024)
The leaf area index (LAI) is one of the core parameters reflecting the growth status of vegetation. The continuous long-term observation of the LAI is key when assessing the dynamic changes in the energy exchange of ecosystems and the vegetation’s
Externí odkaz:
https://doaj.org/article/06b7859899644b65b4211710ab8a3ca4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7276-7292 (2023)
Automatic and accurate extraction of land use/cover change (LUCC) is essential for various applications, particularly studies on climate change and sustainable development. However, the automatic and accurate detection of LUCC in large-scale regions
Externí odkaz:
https://doaj.org/article/68a20753beaa49a29bc79e72dddba027
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1858-1870 (2023)
The advent of new high-performance cloud computing platforms [e.g., Google Earth Engine (GEE)] and freely available satellite data provides a great opportunity for land cover (LC) mapping over large-scale areas. However, the shortage of reliable and
Externí odkaz:
https://doaj.org/article/13c125bc13234015b76fa33b048d68ff
Autor:
Xinyao Xie, Ainong Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 119, Iss , Pp 103325- (2023)
Monitoring the mountain vegetation photosynthesis is essential to understanding global climate change. Currently, several long-term satellite-based product suites have generated various variables associated with photosynthesis, while little is known
Externí odkaz:
https://doaj.org/article/7923dc877b4e4e069dcc77fca45c44eb