Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Zaichun, Zhu"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract The fraction of absorbed photosynthetically active radiation (FPAR) is an essential biophysical parameter that characterizes the structure and function of terrestrial ecosystems. Despite the extensive utilization of several satellite-derived
Externí odkaz:
https://doaj.org/article/68df10f437c5495a906a8d2185bac629
Autor:
Zheng Fu, Philippe Ciais, Jean-Pierre Wigneron, Pierre Gentine, Andrew F. Feldman, David Makowski, Nicolas Viovy, Armen R. Kemanian, Daniel S. Goll, Paul C. Stoy, Iain Colin Prentice, Dan Yakir, Liyang Liu, Hongliang Ma, Xiaojun Li, Yuanyuan Huang, Kailiang Yu, Peng Zhu, Xing Li, Zaichun Zhu, Jinghui Lian, William K. Smith
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract During extensive periods without rain, known as dry-downs, decreasing soil moisture (SM) induces plant water stress at the point when it limits evapotranspiration, defining a critical SM threshold (θcrit). Better quantification of θcrit is
Externí odkaz:
https://doaj.org/article/b76230f87c51428ca3fbc19621679e58
Publikováno v:
Ecological Indicators, Vol 159, Iss , Pp 111739- (2024)
Vegetation is crucial in enhancing the urban environment and benefiting human settlements. Consequently, monitoring and attributing vegetation dynamics in urban agglomerations are paramount. Nevertheless, quantitatively assessing the driving mechanis
Externí odkaz:
https://doaj.org/article/43024ad91f4e4b4a9357fc53683271e1
Publikováno v:
Ecosystem Health and Sustainability, Vol 10 (2024)
Woody plant encroachment (WPE) has been widely studied, yet the spatiotemporal pattern of global WPE and its drivers remain unclear. Here, based on long-term remote sensing observations, we investigated the spatiotemporal dynamics of global WPE from
Externí odkaz:
https://doaj.org/article/71d1161ef93e4b0fbaf893927d15adb4
Publikováno v:
Journal of Remote Sensing, Vol 4 (2024)
As a proxy of vegetation photosynthesis, solar-induced chlorophyll fluorescence (SIF) contains rich photosynthetic information that can reveal the physiological state of vegetation and its response to the environment. Current publicly available SIF p
Externí odkaz:
https://doaj.org/article/f619f4aa4fb44da89e182e03f6e48531
Autor:
Yuhang Luo, Zaichun Zhu, Weiqing Zhao, Muyi Li, Jun Chen, Pengjun Zhao, Liqun Sun, Yanan Zhang, Zeyu Duanmu, Jiana Chen
Publikováno v:
Journal of Remote Sensing, Vol 4 (2024)
Land cover products provide critical information for monitoring and analyzing land surface changes. However, notable disagreement and incompatible classification systems among existing land cover products bring challenges in using them. Here, we deve
Externí odkaz:
https://doaj.org/article/77a6ec99d30c46e88106278ef94f5bd2
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 3, Pp 441-451 (2022)
An unsupervised change-detection problem is formulated as a binary classification problem corresponding to the change and no change areas. This paper proposes a novel unsupervised object-oriented change detection method based on neighborhood correlat
Externí odkaz:
https://doaj.org/article/e73967198aed4a48a15375b92273d182
Autor:
Yue Chen, Zaichun Zhu, Weiqing Zhao, Muyi Li, Sen Cao, Yaoyao Zheng, Feng Tian, Ranga B Myneni
Publikováno v:
Environmental Research Letters, Vol 19, Iss 1, p 014052 (2023)
Gross primary productivity (GPP) is jointly controlled by the structural and physiological properties of the vegetation canopy and the changing environment. Recent studies showed notable changes in global GPP during recent decades and attributed it t
Externí odkaz:
https://doaj.org/article/e7096824fd52439b815c52cb7f096eb5
Publikováno v:
Ecological Indicators, Vol 133, Iss , Pp 108390- (2021)
Tropical Dry Forests (TDFs) in the Americas are significantly affected by drought related to El Niño Southern Oscillation (ENSO). The analysis builds upon two drought indices: the MODIS-derived Vegetation Condition Index (VCI) and Temperature Condit
Externí odkaz:
https://doaj.org/article/0046625112ae4a73bcd66a412453205a
Autor:
Weiqing Zhao, Zaichun Zhu
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6316 (2022)
As the largest source of uncertainty in carbon cycle studies, accurate quantification of gross primary productivity (GPP) is critical for the global carbon budget in the context of global climate change. Numerous vegetation indices (VIs) based on sat
Externí odkaz:
https://doaj.org/article/0689883df0b54f448848f3b1ffc70ec6