Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Xiaozheng Gu"'
Publikováno v:
Plants, Vol 11, Iss 19, p 2449 (2022)
Euonymus japonicus Beihaidao is one of the most economically important ornamental species of the Euonymus genus. There are approximately 97 genera and 1194 species of plants worldwide in this family (Celastraceae). Using E. japonicus Beihaidao, we co
Externí odkaz:
https://doaj.org/article/42ce398f83bd47679b6df4012fa40e00
Autor:
Zhipeng Tang, Qian Zhang, Yangqing Tie, Nan Yin, Lei Gao, Xiaoli Niu, Sheng Chang, Xiaozheng Gu, Peiyuan Lv
Publikováno v:
International Journal of Medicine & Science of Physical Activity & Sport / Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte; jul2023, Vol. 23 Issue 91, p231-247, 17p
Publikováno v:
Plants (Basel, Switzerland). 11(19)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::be1b9e493e37a866daf95cb93b14789b
https://pubmed.ncbi.nlm.nih.gov/36235317
https://pubmed.ncbi.nlm.nih.gov/36235317
Autor:
Xiaozheng Guo, Yimei Wang
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3841 (2024)
With the rapid development of society and economy, the growth of electricity consumption has become one of the important indicators to measure the level of regional economic development. This paper utilizes NPP-VIIRS nighttime light remote sensing da
Externí odkaz:
https://doaj.org/article/10baa9e5e4834bd8849a27e78a705914
Autor:
Lilin Zhang, Yunjun Yao, Xiangyi Bei, Yufu Li, Ke Shang, Junming Yang, Xiaozheng Guo, Ruiyang Yu, Zijing Xie
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3703 (2021)
Coarse spatial resolution sensors play a major role in capturing temporal variation, as satellite images that capture fine spatial scales have a relatively long revisit cycle. The trade-off between the revisit cycle and spatial resolution hinders the
Externí odkaz:
https://doaj.org/article/92d3339d5c6b431483a5ba986dadb8c6
Autor:
Ruiyang Yu, Yunjun Yao, Qiao Wang, Huawei Wan, Zijing Xie, Wenjia Tang, Ziping Zhang, Junming Yang, Ke Shang, Xiaozheng Guo, Xiangyi Bei
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2993 (2021)
The long-term estimation of grassland aboveground biomass (AGB) is important for grassland resource management in the Three-River Headwaters Region (TRHR) of China. Due to the lack of reliable grassland AGB datasets since the 1980s, the long-term spa
Externí odkaz:
https://doaj.org/article/d9c4ec54fdd94bfbb78fbe23d32bcc7d
Autor:
Lu Wang, Yuhu Zhang, Yunjun Yao, Zhiqiang Xiao, Ke Shang, Xiaozheng Guo, Junming Yang, Shuhui Xue, Jie Wang
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1054 (2021)
An accurate and spatially continuous estimation of terrestrial latent heat flux (LE) is fundamental and crucial for the rational utilization of water resources in the Haihe River Basin (HRB). However, the sparsity of flux observation sites hinders th
Externí odkaz:
https://doaj.org/article/b3d12632366048ecaeeb7adfaffc8a00
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:
Xiaowei Chen, Yunjun Yao, Yufu Li, Yuhu Zhang, Kun Jia, Xiaotong Zhang, Ke Shang, Junming Yang, Xiangyi Bei, Xiaozheng Guo
Publikováno v:
Sensors, Vol 20, Iss 17, p 4773 (2020)
Ocean latent heat flux (LHF) is an essential variable for air–sea interactions, which establishes the link between energy balance, water and carbon cycle. The low-latitude ocean is the main heat source of the global ocean and has a great influence
Externí odkaz:
https://doaj.org/article/36fb151630ab4d9ba644fba3e8519a4c