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Xiangyue Chen
Researcher at Xinjiang University
Publications - 23
Citations - 395
Xiangyue Chen is an academic researcher from Xinjiang University. The author has contributed to research in topics: Environmental science & Geology. The author has an hindex of 3, co-authored 6 publications receiving 114 citations. Previous affiliations of Xiangyue Chen include Lanzhou University.
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Journal ArticleDOI
Capability of Sentinel-2 MSI data for monitoring and mapping of soil salinity in dry and wet seasons in the Ebinur Lake region, Xinjiang, China
Jingzhe Wang,Jianli Ding,Danlin Yu,Danlin Yu,Xuankai Ma,Zipeng Zhang,Xiangyu Ge,Dexiong Teng,Xiaohang Li,Jing Liang,Ivan Lizaga,Xiangyue Chen,Lin Yuan,Yahui Guo +13 more
TL;DR: In this paper, the authors used the multi-spectral instrument (MSI) onboard the Sentinel-2 onboard ship for the monitoring and mapping of soil salinity in arid and semi-arid areas.
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Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI.
Jingzhe Wang,Jianli Ding,Danlin Yu,Dexiong Teng,Bin He,Xiangyue Chen,Xiangyu Ge,Zipeng Zhang,Yi Wang,Xiaodong Yang,Tiezhu Shi,Fenzhen Su +11 more
TL;DR: Combining RS data sets and their derived TCW within a Cubist framework yielded accurate regional salinity map, and MSI image with finer spatial resolution performed better than OLI.
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Estimating Agricultural Soil Moisture Content through UAV-Based Hyperspectral Images in the Arid Region
Xiangyu Ge,Jianli Ding,Xiuliang Jin,Jingzhe Wang,Xiangyue Chen,Xiaohang Li,Jie Liu,Boqiang Xie +7 more
TL;DR: This research provided a promising data mining approach for UAV-based hyperspectral imaging data by building the best estimation model for agricultural SMC in arid regions using the eXtreme Gradient Boost algorithm.
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Validation and comparison of high-resolution MAIAC aerosol products over Central Asia
Xiangyue Chen,Xiangyue Chen,Jianli Ding,Jie Liu,Jingzhe Wang,Xiangyu Ge,Rui Wang,Hongchao Zuo +7 more
TL;DR: In this article, the applicability of multiangle implementation of atmospheric correction (MAIAC) AOD in Central Asia was comprehensively analyzed, and the variation in AOD over the last 20 years was analyzed by the information entropy method.
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Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China
Xiangyue Chen,Jianli Ding,Jingzhe Wang,Xiangyu Ge,Mayira Raxidin,Jing Liang,Xiaoxiao Chen,Zipeng Zhang,Xiaoyi Cao,Yue Ding +9 more
TL;DR: The results demonstrate that the improved DB algorithm has a high inversion accuracy for continuous AOD inversion at a high spatial resolution in urban areas, and shows that coal to natural gas project implementation in Urumqi promoted the improvement of U Rumqi’s atmospheric environment.