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International Journal of Digital Earth Volume 8, 2015 - Issue 4
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Original Articles

Spatiotemporal analysis of land use/cover changes in Nanchang area, China

Yang ZhangState Key Laboratory of Remote Sensing, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China;School of Resource and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
&
Bing XuState Key Laboratory of Remote Sensing, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China;School of Environment, Tsinghua University, Beijing, China;Department of Geography, University of Utah, Salt Lake City, UT, USACorrespondence[email protected]
Pages 312-333 | Received 12 Jul 2013, Accepted 09 Feb 2014, Published online: 06 Mar 2014

Citations (14)

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Read on this site (3)

Xiaobing Wei, Wen Zhang, Zhen Zhang, Haosheng Huang & Lingkui Meng. (2023) Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization. Geocarto International 38:1.
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Bin Chen, Bo Huang & Bing Xu. (2017) A hierarchical spatiotemporal adaptive fusion model using one image pair. International Journal of Digital Earth 10:6, pages 639-655.
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Huaiyu Tian & Bing Xu. (2015) Persistence and transmission of avian influenza A (H5N1): virus movement, risk factors and pandemic potential. Annals of GIS 21:1, pages 55-68.
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Articles from other publishers (11)

Andrew Allan, Ali Soltani, Mohammad Hamed Abdi & Melika Zarei. (2022) Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review. Land 11:8, pages 1222.
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Mohammad Ali & Gul‐e‐Noor T. Hasnat. 2022. Urban Ecology and Global Climate Change. Urban Ecology and Global Climate Change 104 120 .
Chaomin Chen, Hasi Bagan, Xuan Xie, Yune La & Yoshiki Yamagata. (2021) Combination of Sentinel-2 and PALSAR-2 for Local Climate Zone Classification: A Case Study of Nanchang, China. Remote Sensing 13:10, pages 1902.
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Yang Zhang. (2021) A Time-Series Approach to Detect Urbanized Areas Using Biophysical Indicators and Landsat Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, pages 9210-9222.
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Zheyu Xie, Robert Gilmore Pontius Jr, Jinliang Huang & Vilas Nitivattananon. (2020) Enhanced Intensity Analysis to Quantify Categorical Change and to Identify Suspicious Land Transitions: A Case Study of Nanchang, China. Remote Sensing 12:20, pages 3323.
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Md Fazlul Karim, Xiang Zhang & Ru Li. (2019) Dynamics of Shrimp Farming in the Southwestern Coastal Districts of Bangladesh Using a Shrimp Yield Dataset (SYD) and Landsat Satellite Archives. Sustainability 11:17, pages 4635.
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Han Li, Long Li, Longqian Chen, Xisheng Zhou, Yifan Cui, Yunqiang Liu & Weiqiang Liu. (2019) Mapping and Characterizing Spatiotemporal Dynamics of Impervious Surfaces Using Landsat Images: A Case Study of Xuzhou, East China from 1995 to 2018. Sustainability 11:5, pages 1224.
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Bin Chen, Lifan Chen, Bo Huang, Ryo Michishita & Bing Xu. (2018) Dynamic monitoring of the Poyang Lake wetland by integrating Landsat and MODIS observations. ISPRS Journal of Photogrammetry and Remote Sensing 139, pages 75-87.
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Xinmin Zhang, Ronald C. Estoque & Yuji Murayama. (2017) An urban heat island study in Nanchang City, China based on land surface temperature and social-ecological variables. Sustainable Cities and Society 32, pages 557-568.
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Bin Chen, Lifan Chen, Ming Lu & Bing Xu. (2017) Wetland mapping by fusing fine spatial and hyperspectral resolution images. Ecological Modelling 353, pages 95-106.
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Yang Zhang, Chuansheng Wang, Hongbin Xie, Jie Zhang & Jiaping Wu. (2017) Analyzing spatial variations in land use/cover distributions: A case study of Nanchang area, China. Ecological Indicators 76, pages 52-63.
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