Xiubin Li

Xiubin Li


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 June 2017 in Journal of Geographical Sciences
Verified
Journal Article
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SLShengfa Li
Shengfa Li
XLXiubin Li
Xiubin Li

16 April 2018 in Land Degradation & Development
Verified
Journal Article
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SLShengfa Li
Shengfa Li
XLXiubin Li
Xiubin Li
LSLaixiang Sun
Laixiang Sun
GCGuiying Cao
Guiying Cao
GFGuenther Fischer
Guenther Fischer
STSylvia Tramberend
Sylvia Tramberend

8 October 2009 in Journal of Geographical Sciences
Verified
Journal Article
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YCYuqi Chen
Yuqi Chen
XLXiubin Li
Xiubin Li
YTYujun Tian
Yujun Tian
MTMinghong Tan
Minghong Tan

1 September 2005 in Science in China Series D: Earth Sciences
Verified
Journal Article
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MTMinghong Tan
Minghong Tan
XLXiubin Li
Xiubin Li
CLChanghe Lu
Changhe Lu
Based on the land-use data in 1990 and 2000, determined by interpreting Landsat Thematic Mapper (TM) imagery, this paper defines the extent of urban constr

21 March 2019 in Journal of Geographical Sciences
Verified
Journal Article
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SLShengfa Li
Shengfa Li
XLXiubin Li
Xiubin Li

26 December 2018 in Remote Sensing
Verified
Journal Article
Open access
PDF file
MJMin Jiang
Min Jiang
Liangjie XinLiangjie Xin
Liangjie Xin
XLXiubin Li
Xiubin Li
MTMinghong Tan
Minghong Tan
RWRenjing Wang
Renjing Wang
Assessing changes in rice cropping systems is essential for ensuring food security, greenhouse gas emissions, and sustainable water management. However, due to the insufficient availability of images with moderate to high spatial resolution, caused by frequent cloud cover and coarse temporal resolution, high-resolution maps of rice cropping systems at a large scale are relatively limited, especially in tropical and subtropical regions. This study combined the difference of Normalized Difference Vegetation Index (dNDVI) method and the Normalized Difference Vegetation Index (NDVI) threshold method to monitor changes in rice cropping systems of Southern China using Landsat images, based on the phenological differences between different rice cropping systems. From 1990–2015, the sown area of double cropping rice (DCR) in Southern China decreased by 61054.5 km2, the sown area of single cropping rice (SCR) increased by 20,110.7 km2, the index of multiple cropping decreased from 148.3% to 129.3%, and the proportion of DCR decreased by 20%. The rice cropping systems in Southern China showed a “double rice shrinking and single rice expanding” change pattern from north to south, and the most dramatic changes occurred in the Middle-Lower Yangtze Plain. This study provided an efficient strategy that can be applied to moderate to high resolution images with deficient data availability, and the resulting maps can be used as data support to adjust agricultural structures, formulate food security strategies, and compile a greenhouse gas emission inventory.