Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Xuewen ZHOU"'
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102767- (2024)
Carbon uptake by vegetation plays a vital role in the global carbon cycle. Annual gross primary productivity (AGPP) represents the total amount of carbon compounds produced by vegetation photosynthesis over a year and is a crucial metric for quantify
Externí odkaz:
https://doaj.org/article/60cbc18241b744d58856564b4838e2f9
Autor:
Zhenhua Xiong, Zhicheng Zhang, Hanliang Gui, Peng Zhu, Ying Sun, Xuewen Zhou, Kun Xiao, Qinchuan Xin
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Ecosystem process modeling is vital for a broad range of applications. It requires a key metric to characterize vegetation canopies: the leaf area index (LAI). Many land surface models utilize satellite-derived LAI for modeling ecosystem processes. T
Externí odkaz:
https://doaj.org/article/56df23aac3844cadbe7cd6094cfe8815
Publikováno v:
Shiyou shiyan dizhi, Vol 45, Iss 2, Pp 266-279 (2023)
In recent years, drilling in Xinhe area on the southern slope of Kuqa Depression, Tarim Basin revealed that the Cretaceous Yageliemu Formation has active hydrocarbon display and high exploration potential in the field of stratigraphic-lithologic trap
Externí odkaz:
https://doaj.org/article/e856ec685d0c49edb429e176e9d6afdd
Autor:
Xuewen Zhou
Publikováno v:
International Journal of Anthropology and Ethnology, Vol 6, Iss 1, Pp 1-23 (2022)
Abstract Based on public data such as the Educational Statistics Yearbook and the National Statistics Yearbook, this paper analyzes the equalization trend of fundamental education in the Tibet Autonomous Region (hereinafter referred to as Tibet), Chi
Externí odkaz:
https://doaj.org/article/6c1d3726f3a0480c9805cfa781bc1288
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
BackgroundMyofascial pain syndrome (MPS) is one of the most common causes of chronic skeletal muscle pain, which is closely related to skeletal muscle myofascial trigger point (MTRP). Since there is no first-line treatment for MPS, we investigated Lo
Externí odkaz:
https://doaj.org/article/2aded36bef6f43d8b99c359c3300ff2a
Autor:
Li Xu, Xu Chen, Jingfen Lu, Yan Xu, Honglin Yang, Xuewen Zhou, Jun Zhou, Jianhong Xu, Hao Shen
Publikováno v:
Diabetology & Metabolic Syndrome, Vol 13, Iss 1, Pp 1-7 (2021)
Abstract Background As a subcomponent of low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C) has been suggested to be a better predictor of cardiovascular diseases (CVD). The aim of this research was to evaluate the predictive va
Externí odkaz:
https://doaj.org/article/06430f844e774902874cce51a9e53546
Publikováno v:
Advances in Materials Science and Engineering, Vol 2022 (2022)
Gouging—an obstacle to the development of hypersonic rocket sled test techniques—was mechanistically investigated through experimental and theoretical analyses. Typical gouges were analyzed using macroscopic and microscopic experiments to investi
Externí odkaz:
https://doaj.org/article/e0bc4f3263b948e7815ac1e5db0c6b68
Publikováno v:
Ecological Indicators, Vol 131, Iss , Pp 108126- (2021)
The timing of vegetation spring onset is largely influenced by climate factors, making it sensitive to climate variation. Robust models that predict vegetation spring onset via the climate forcing data are needed in the land surface models for unders
Externí odkaz:
https://doaj.org/article/ae90e7ff52654b1ead29ab1c09b4d372
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4692 (2022)
Sensors onboard satellite platforms with short revisiting periods acquire frequent earth observation data. One limitation to the utility of satellite-based data is missing information in the time series of images due to cloud contamination and sensor
Externí odkaz:
https://doaj.org/article/b79fdb16d2e348b8a4cc322df20bf346
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 93, Iss , Pp 102189- (2020)
Vegetation phenology is a sensitive indicator that reflects the vegetation–atmosphere interactions and vegetation processes under global atmospheric changes. Fast-developing remote sensing technologies that monitor the land surface at high spatial
Externí odkaz:
https://doaj.org/article/93c90277e99a4717be1ca64e8cab9495