Journal of Geographical Sciences ›› 2022, Vol. 32 ›› Issue (9): 1705-1723.doi: 10.1007/s11442-022-2019-0

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Monitoring periodically national land use changes and analyzing their spatiotemporal patterns in China during 2015-2020

KUANG Wenhui1(), ZHANG Shuwen2, DU Guoming3, YAN Changzhen4, WU Shixin5, LI Rendong6, LU Dengsheng7, PAN Tao8, NING Jing3, GUO Changqing1, DONG Jinwei1, BAO Yuhai9, CHI Wenfeng10, DOU Yinyin1, HOU Yali1,11, YIN Zherui8, CHANG Liping2, YANG Jiuchun2, XIE Jiali4, QIU Juan6, ZHANG Hansong3, ZHANG Yubo2,12, YANG Shiqi1,11, SA Rigai9, LIU Jiyuan1   

  1. 1.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2.Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China
    3.Northeast Agricultural University, Harbin 150030, China
    4.Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou 730000, China
    5.Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China
    6.Innovation Academy for Precision Measurement Science and Technology, CAS, Wuhan 430071, China
    7.Fujian Normal University, Fuzhou 350007, China
    8.Qufu Normal University, Rizhao 276826, Shandong, China
    9.Inner Mongolia Normal University, Hohhot 010022, China
    10.Inner Mongolia University of Finance and Economics, Hohhot 010070, China
    11.University of Chinese Academy of Sciences, Beijing 100049, China
    12.Jilin University, Changchun 130000, China
  • Received:2022-03-25 Accepted:2022-04-18 Online:2022-09-25 Published:2022-11-25
  • About author:Kuang Wenhui (1978-), Professor, specialized in land use/cover change and remote sensing of urban ecology. E-mail: kuangwh@igsnrr.ac.cn
  • Supported by:
    The Strategic Priority Research Program of the Chinese Academy of Sciences(XDA23100201);National Key R&D Program of China(2018YFC1800103);The Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK0608)

Abstract:

High-resolution mapping and monitoring of national land use/cover changes contribute significantly to the knowledge of the interaction between human activities and environmental changes. China’s Land Use/cover Dataset (CLUD) for 2020 and its dynamic changes in 2015-2020 were developed to extend the CLUD to over 30 years (i.e., the 1980s to 2020 at 5-year intervals) by integrating remote sensing big data and knowledge-based human-computer interaction interpretation methods. This integrating method for CLUD 2020 improved the efficiency of national land use/cover mapping and the accuracy of land use pattern change detection compared to earlier CLUD products, with an overall accuracy of 95%. The intensity of land use change decreased across China in 2015-2020 compared to 2010-2015, although both characteristics of its spatial changes were similar. The cropland area continued to shrink at national scale in 2015-2020, with two regional hotspots including the widespread conversions from dry land into paddy land in Northeast China and the coexistence of widespread land cultivation and cropland abandonment in Xinjiang of Northwest China. Built-up land area continued to expand in China, showing consistency between 2015-2020 and 2010-2015, in which hotspots transited from the surroundings of coastal megacities to the city surroundings of the central and western zones. For natural land, although the woodland and grassland decreased in 2015-2020, its magnitude expanded compared to 2010-2015. In comparison, the water body area in Qinghai-Tibet Plateau increased significantly under the continuous impact of climate change. These characteristics of land use change were closely related to the development strategy of the top-level design of the 13th Five-Year Plan (2016-2020) (e.g., ecological civilization construction and high-quality development).

Key words: land use, spatial pattern, cropland change, urban expansion, cloud computation, remote sensing, China