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International Journal of Geographical Information Science Volume 35, 2021 - Issue 2
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Research Articles

A spatiotemporal structural graph for characterizing land cover changes

Bin Wua Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China;b School of Geographic Sciences, East China Normal University, Shanghai, ChinaView further author information
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Bailang Yua Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China;b School of Geographic Sciences, East China Normal University, Shanghai, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5628-0003View further author information
ORCID Icon,
Song Shuc Department of Geography and Planning, Appalachian State University, Boone, NC, USAView further author information
,
Qiusheng Wud Department of Geography, University of Tennessee, Knoxville, TN, USAORCID Iconhttps://orcid.org/0000-0001-5437-4073View further author information
ORCID Icon,
Yi Zhaoa Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China;b School of Geographic Sciences, East China Normal University, Shanghai, ChinaView further author information
&
Jianping Wua Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China;b School of Geographic Sciences, East China Normal University, Shanghai, ChinaCorrespondence[email protected]
View further author information
Pages 397-425 | Received 06 Sep 2019, Accepted 02 Jun 2020, Published online: 16 Jun 2020

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Xinyu Zou, Xiangnan Liu, Meiling Liu, Lingwen Tian, Lihong Zhu & Qian Zhang. (2023) Spatiotemporal graph-based analysis of land cover evolution using remote sensing time series data. International Journal of Geographical Information Science 37:5, pages 1009-1040.
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Articles from other publishers (11)

Lingwen Tian, Yuanyuan Meng, Lihong Zhu, Xinyu Zou & Xiangnan Liu. (2023) Graph-based spatial pattern multi-type change detection. ISPRS Journal of Photogrammetry and Remote Sensing 199, pages 258-271.
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Su Ye, Zhe Zhu & Guofeng Cao. (2023) Object-based continuous monitoring of land disturbances from dense Landsat time series. Remote Sensing of Environment 287, pages 113462.
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Yongxin Yuan & Zuoqi Chen. (2023) The impacts of land cover spatial combination on nighttime light intensity in 2010 and 2020: a case study of Fuzhou, China. Computational Urban Science 3:1.
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Qionghuan Liu, Renzhong Guo, Zhengdong Huang, Biao He & Xiaoming Li. (2023) The Nonlinear Impact of Mobile Human Activities on Vegetation Change in the Guangdong–Hong Kong–Macao Greater Bay Area. International Journal of Environmental Research and Public Health 20:3, pages 1874.
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Cunjin Xue, Chaoran Niu, Yangfeng Xu & Fenzhen Su. (2023) A Process-Oriented Exploration of the Evolutionary Structures of Ocean Dynamics with Time Series of a Remote Sensing Dataset. Remote Sensing 15:2, pages 348.
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Zouhayra Ayadi, Wadii Boulila & Imed Riadh Farah. (2023) Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graphs. Procedia Computer Science 225, pages 2467-2476.
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Elise Verhoeven, Glenda M. Wardle, Guy W. Roth & Aaron C. Greenville. (2022) Characterising the spatiotemporal dynamics of drought and wet events in Australia. Science of The Total Environment 846, pages 157480.
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Lianwei Li, Cunjin Xue, Yangfeng Xu, Chengbin Wu & Chaoran Niu. (2022) PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets. Remote Sensing 14:13, pages 2991.
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Meiling Liu, Xiangnan Liu, Ling Wu, Tao Peng, Qian Zhang, Xinyu Zou, Lingwen Tian & Xuan Wang. (2022) Hybrid Spatiotemporal Graph Convolutional Network for Detecting Landscape Pattern Evolution From Long-Term Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-16.
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Ximeng Cheng, Zhiqian Wang, Xuexi Yang, Liyan Xu & Yu Liu. (2021) Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series. Computers, Environment and Urban Systems 88, pages 101627.
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Chao Xu & Weibo Liu. (2021) Integrating a Three-Level GIS Framework and a Graph Model to Track, Represent, and Analyze the Dynamic Activities of Tidal Flats. ISPRS International Journal of Geo-Information 10:2, pages 61.
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