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Chen, Qiting (author), Jia, Li (author), Menenti, M. (author), Hu, Guangcheng (author), Wang, Kun (author), Yi, Zhiwei (author), Zhou, Jie (author), Peng, Fei (author), Ma, Shaoxiu (author)
Information on crop yield is important for food security, in particular under the conditions of climate change and growing population worldwide. We developed a new fully distributed, high spatial resolution, model of biomass accumulation and crop yield applicable to a highly heterogeneous desert-oasis agroecosystem. The bulk of required input...
journal article 2023
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Xie, Qiuxia (author), Jia, Li (author), Menenti, M. (author), Hu, Guangcheng (author)
Surface Soil Moisture (SSM) information is needed for agricultural water resource management, hydrology and climate analysis applications. Temporal and spatial sampling by the space-borne instruments designed to retrieve SSM is, however, limited by the orbit and sensors of the satellites. We produced a Global Daily-scale Soil Moisture Fusion...
journal article 2022
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Wang, Zian (author), Meng, Qingyan (author), Allam, Mona (author), Hu, Die (author), Zhang, Linlin (author), Menenti, M. (author)
Nowadays urban climate is a global problem and many studies focused on understanding the relation between urban climate the built-up space using radiometric observations of the land surface temperature to estimate and monitor the surface urban heat island intensity (SUHIs). In this study MODIS land surface temperature (LST) data were used....
journal article 2021
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Liu, Wenxiu (author), Meng, Qingyan (author), Allam, Mona (author), Zhang, Linlin (author), Hu, Die (author), Menenti, M. (author)
Land surface temperature (LST) in urban agglomerations plays an important role for policymakers in urban planning. The Pearl River Delta (PRD) is one of the regions with the highest urban densities in the world. This study aims to explore the spatial patterns and the dominant drivers of LST in the PRD. MODIS LST (MYD11A2) data from 2005 and...
journal article 2021
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Zhang, Jingxiao (author), Jia, Li (author), Menenti, M. (author), Hu, Guangcheng (author)
Glaciers in the Tibetan Plateau are an important indicator of climate change. Automatic glacier facies mapping utilizing remote sensing data is challenging due to the spectral similarity of supraglacial debris and the adjacent bedrock. Most of the available glacier datasets do not provide the boundary of clean ice and debris-covered glacier...
journal article 2019
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Huang, Tianjin (author), Jia, Li (author), Menenti, M. (author), Lu, Jing (author), Zhou, Jie (author), Hu, Guangcheng (author)
We present in this paper a polynomial fitting method applicable to segments of footprints measured by the Geoscience Laser Altimeter System (GLAS) to estimate glacier thickness change. Our modification makes the method applicable to complex topography, such as a large mountain glacier. After a full analysis of the planar fitting method to...
journal article 2017
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Zheng, Chaolei (author), Jia, L. (author), Hu, Guangcheng (author), Menenti, M. (author), Lu, Jing (author), Zhou, J. (author), Wang, Kun (author), Li, Zhansheng (author)
The Pan-Eurasian and African Continents are characterized by large ranges of climates varying from humid, semi-humid, semi-arid and arid regions, and great challenges exist in water allocation for different sectors that related to water resource and food security, which depends strongly on the water use information. Quantitative information...
journal article 2017
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Zhou, J. (author), Hu, G. (author), Menenti, M. (author)
Reconstruction of time series of satellite image data to obtain continuous, consistent and accurate data for downstream applications is playing a crucial role in remote sensing applications such as vegetation dynamics, land cover changes, land-atmosphere interactions and climate changes. Among the numerous methods and models developed to...
journal article 2013
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