IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i20p5657-d276236.html
   My bibliography  Save this article

CART-RF Classification with Multifilter for Monitoring Land Use Changes Based on MODIS Time-Series Data: A Case Study from Jiangsu Province, China

Author

Listed:
  • Le’an Qu

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China)

  • Zhenjie Chen

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China)

  • Manchun Li

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China)

Abstract

The periodic determination of land use changes over large areas is crucial for improving our understanding of land system dynamics. Jiangsu lies at the center of China’s Yangtze Delta and has one of the fastest-developing economies in China. However, it is also a region where serious conflicts exist between the available land resources and the human demand for land. To address these conflicts, it is important to analyze the patterns of land use change in Jiangsu, as they can serve as a useful reference for other rapidly urbanizing regions in China as well as other developing countries. In this study, we propose a method of classification and regression tree-random forest (CART-RF) classification with a multifilter based on time-series Moderate Resolution Imaging Spectroradiometer (MODIS) imaging data. The proposed method integrates the CART decision tree and the random forest algorithms (CART-RF) to obtain accurate yearly land use data for large areas from multivariate time-series remote sensing data and employs a spatial-temporal-logical filter to exclude any abnormal changes in the multivariate time-series pixel data. The obtained results indicated that (1) the CART-RF classifier is effective for land use classification based on the multivariate time-series MODIS data, with the overall classification accuracy being greater than 90%; (2) the use of the proposed combinatorial spatial-temporal-logical filtering method effectively eliminates most anomalous changes and minimizes the effects of “salt-and-pepper” noise; and (3) from 2000 to 2015, land use in Jiangsu province underwent significant and spatiotemporally heterogeneous changes on a province-wide scale, owing to various factors, such as those related to the economy, location, and government policies. These changes were manifested as continuous expansions in the built-up land at the expense of farmland. While this expansion of built-up land has been very rapid in southern Jiangsu, especially in the region close to Yangtze River Delta, it has been relatively slower in northern Jiangsu.

Suggested Citation

  • Le’an Qu & Zhenjie Chen & Manchun Li, 2019. "CART-RF Classification with Multifilter for Monitoring Land Use Changes Based on MODIS Time-Series Data: A Case Study from Jiangsu Province, China," Sustainability, MDPI, vol. 11(20), pages 1-23, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5657-:d:276236
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/20/5657/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/20/5657/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shiwei Dong & Hong Li & Danfeng Sun, 2017. "Fractal Feature Analysis and Information Extraction of Woodlands Based on MODIS NDVI Time Series," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    2. Peter Kristensen & Martin E. Judge & Lars Thim & Ulla Ribel & Kennet N. Christjansen & Birgitte S. Wulff & Jes T. Clausen & Per B. Jensen & Ole D. Madsen & Niels Vrang & Philip J. Larsen & Sven Hastru, 1998. "Hypothalamic CART is a new anorectic peptide regulated by leptin," Nature, Nature, vol. 393(6680), pages 72-76, May.
    3. Lili Xu & Zhenfa Tu & Yuke Zhou & Guangming Yu, 2018. "Profiling Human-Induced Vegetation Change in the Horqin Sandy Land of China Using Time Series Datasets," Sustainability, MDPI, vol. 10(4), pages 1-18, April.
    4. Mattias Gaglio & Mattia Lanzoni & Giovanni Nobili & Diego Viviani & Giuseppe Castaldelli & Elisa Anna Fano, 2019. "Ecosystem services approach for sustainable governance in a brackish water lagoon used for aquaculture," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 62(9), pages 1501-1524, July.
    5. Suxiao Li & Hong Yang & Martin Lacayo & Junguo Liu & Guangchun Lei, 2018. "Impacts of Land-Use and Land-Cover Changes on Water Yield: A Case Study in Jing-Jin-Ji, China," Sustainability, MDPI, vol. 10(4), pages 1-16, March.
    6. Nils Homer & Barry Merriman & Stanley F Nelson, 2009. "BFAST: An Alignment Tool for Large Scale Genome Resequencing," PLOS ONE, Public Library of Science, vol. 4(11), pages 1-12, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qi Wang & Peng Guo & Shiwei Dong & Yu Liu & Yuchun Pan & Cunjun Li, 2023. "Extraction of Cropland Spatial Distribution Information Using Multi-Seasonal Fractal Features: A Case Study of Black Soil in Lishu County, China," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    2. Chunyu Li & Rong Cai & Wei Tian & Junna Yuan & Xiaofei Mi, 2023. "Land Cover Classification by Gaofen Satellite Images Based on CART Algorithm in Yuli County, Xinjiang, China," Sustainability, MDPI, vol. 15(3), pages 1-18, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. J. Carl Ureta & Lucas Clay & Marzieh Motallebi & Joan Ureta, 2020. "Quantifying the Landscape’s Ecological Benefits—An Analysis of the Effect of Land Cover Change on Ecosystem Services," Land, MDPI, vol. 10(1), pages 1-20, December.
    2. Lars Hahn & Chris-André Leimeister & Rachid Ounit & Stefano Lonardi & Burkhard Morgenstern, 2016. "rasbhari: Optimizing Spaced Seeds for Database Searching, Read Mapping and Alignment-Free Sequence Comparison," PLOS Computational Biology, Public Library of Science, vol. 12(10), pages 1-18, October.
    3. Luo, Xiangyu & Jiang, Peng & Yang, Jingyi & Jin, Jing & Yang, Jun, 2021. "Simulating PM2.5 removal in an urban ecosystem based on the social-ecological model framework," Ecosystem Services, Elsevier, vol. 47(C).
    4. Mattias, Gaglio & Elena, Tamburini & Giuseppe, Castaldelli & Anna, Fano Elisa, 2021. "Modeling the ecosystem service of agricultural residues provision for bioenergy production: A potential application in the Emilia-Romagna region (Italy)," Ecological Modelling, Elsevier, vol. 451(C).
    5. Haiyan Meng & Yi Hu & Zuoji Dong, 2023. "Landscape Pattern Change and Ecological Effect in a Typical Mountain–Oasis–Desert Region in the Northwest Region of China," IJERPH, MDPI, vol. 20(5), pages 1-19, February.
    6. Yuyang Chang & Geli Zhang & Tianzhu Zhang & Zhen Xie & Jingxia Wang, 2020. "Vegetation Dynamics and Their Response to the Urbanization of the Beijing–Tianjin–Hebei Region, China," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    7. Joshua C Bis & Anita DeStefano & Xiaoming Liu & Jennifer A Brody & Seung Hoan Choi & Benjamin F J Verhaaren & Stéphanie Debette & M Arfan Ikram & Eyal Shahar & Kenneth R Butler Jr & Rebecca F Gottesma, 2014. "Associations of NINJ2 Sequence Variants with Incident Ischemic Stroke in the Cohorts for Heart and Aging in Genomic Epidemiology (CHARGE) Consortium," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-7, June.
    8. Afonso R. M. Almeida & João L. Neto & Ana Cachucho & Mayara Euzébio & Xiangyu Meng & Rathana Kim & Marta B. Fernandes & Beatriz Raposo & Mariana L. Oliveira & Daniel Ribeiro & Rita Fragoso & Priscila , 2021. "Interleukin-7 receptor α mutational activation can initiate precursor B-cell acute lymphoblastic leukemia," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    9. Camila Orellana Pereira & Rossana Escanilla-Minchel & Alejandra Cortés González & Hernán Alcayaga & Mauricio Aguayo & Miguel Aguayo Arias & Alejandro N. Flores, 2022. "Assessment of Future Land Use/Land Cover Scenarios on the Hydrology of a Coastal Basin in South-Central Chile," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    10. Qi Wang & Peng Guo & Shiwei Dong & Yu Liu & Yuchun Pan & Cunjun Li, 2023. "Extraction of Cropland Spatial Distribution Information Using Multi-Seasonal Fractal Features: A Case Study of Black Soil in Lishu County, China," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    11. Shiwei Dong & Yuchun Pan & Hui Guo & Bingbo Gao & Mengmeng Li, 2021. "Identifying Influencing Factors of Agricultural Soil Heavy Metals Using a Geographical Detector: A Case Study in Shunyi District, China," Land, MDPI, vol. 10(10), pages 1-15, September.
    12. Liting Xu & Sophia Shuang Chen & Yu Xu & Guangyu Li & Weizhong Su, 2019. "Impacts of Land-Use Change on Habitat Quality during 1985–2015 in the Taihu Lake Basin," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
    13. Ming Kong & Jieni Zhao & Chuanfu Zang & Yiting Li & Jinglin Deng, 2023. "Characteristics and Driving Mechanism of Water Resources Trend Change in Hanjiang River Basin," IJERPH, MDPI, vol. 20(4), pages 1-19, February.
    14. Erin Golden & Ana Emiliano & Stuart Maudsley & B Gwen Windham & Olga D Carlson & Josephine M Egan & Ira Driscoll & Luigi Ferrucci & Bronwen Martin & Mark P Mattson, 2010. "Circulating Brain-Derived Neurotrophic Factor and Indices of Metabolic and Cardiovascular Health: Data from the Baltimore Longitudinal Study of Aging," PLOS ONE, Public Library of Science, vol. 5(4), pages 1-9, April.
    15. Huaizhi Tang & Wenping Liu & Wenju Yun, 2018. "Spatiotemporal Dynamics of Green Spaces in the Beijing–Tianjin–Hebei Region in the Past 20 Years," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    16. Jinxiao Li & Guijun Zhang & Pengtao Zhang & Siyu Jing & Jie Dong, 2023. "Simulation and Zoning Research on the Ecosystem Service in the Beijing–Tianjin–Hebei Region Based on SSP–RCP Scenarios," Land, MDPI, vol. 12(8), pages 1-19, August.
    17. Swetansu Pattnaik & Srividya Vaidyanathan & Durgad G Pooja & Sa Deepak & Binay Panda, 2012. "Customisation of the Exome Data Analysis Pipeline Using a Combinatorial Approach," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-9, January.
    18. Mohsen Sharafatmandrad & Azam Khosravi Mashizi, 2021. "Temporal and Spatial Assessment of Supply and Demand of the Water-yield Ecosystem Service for Water Scarcity Management in Arid to Semi-arid Ecosystems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 63-82, January.
    19. Dinagarapandi Pandi & Saravanan Kothandaraman & Mohan Kuppusamy, 2023. "Simulation of Water Balance Components Using SWAT Model at Sub Catchment Level," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    20. Michaela Žoncová & Pavel Hronček & Bohuslava Gregorová, 2020. "Mapping of the Land Cover Changes in High Mountains of Western Carpathians between 1990–2018: Case Study of the Low Tatras National Park (Slovakia)," Land, MDPI, vol. 9(12), pages 1-20, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5657-:d:276236. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.