农业大数据学报 ›› 2026, Vol. 8 ›› Issue (2): 183-198.doi: 10.19788/j.issn.2096-6369.000119

• 数据应用 • 上一篇    下一篇

中国北方种植制度过渡区耕地时空格局演变特征及对策研究

赵燕1(), 李霞1,*(), 冯建中2,*(), 郭静利3, 谢能付2, 薛原2   

  1. 1 重庆市综合经济研究院重庆 401147
    2 中国农业科学院农业信息研究所北京 100081
    3 中国农业科学院生物技术研究所北京 100081
  • 收稿日期:2025-06-09 接受日期:2025-09-28 出版日期:2026-06-26 发布日期:2026-06-26
  • 通讯作者: 李霞,E-mail: 984489463@qq.com
    冯建中,E-mail: fengjianzhong@caas.com
  • 作者简介:赵燕,E-mail: 394927363@qq.com
  • 基金资助:
    重庆市社会科学规划项目(2022BS052);北大荒集团经济社会发展项目(BDH2024-08);河南省重点研发专项项目(241111211100);国家科技创新2030新一代人工智能重大项目(2022ZD0119501)

Spatiotemporal Pattern Dynamics of Cultivated Land in the Transitional Zone of Cropping System, Northern China, Based on Multi-source Data from Google Earth Engine, and Coping Strategy

ZHAO Yan1(), LI Xia1,*(), FENG JianZhong2,*(), GUO JingLi3, XIE NengFu2, XUE Yuan2   

  1. 1 Chongqing Academy of Economics Research, Chongqing 401147, China
    2 Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
    3 Biotechnology Research Institute Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2025-06-09 Accepted:2025-09-28 Published:2026-06-26 Online:2026-06-26

摘要:

我国北方一熟制与两熟制种植过渡区作为农牧交错带的重要部分,主要位于“美丽中国中脊带”的中段,利用遥感技术开展本区域耕地信息时空动态变化监测研究有助于有效保护耕地和敏感农业生态环境、合理开发利用土地资源,且对围绕区域可持续发展目标制定科学区域发展战略与规划等具有重要意义和作用。研究基于Google Earth Engine(GEE)平台在遥感大数据处理与分析上的优势,利用多源、多分辨率遥感影像构建耕地遥感识别特征集,通过随机森林分类器获取研究区耕地信息,分析其时空变化特征。1)研制生产的2000−2020年间11期耕地遥感产品,基于抽样交叉验证方法总体精度优于90%、Kappa系数超过0.80,而基于官方耕地面积统计数据验证整体精度亦在65%−80%,二者互补表明该遥感产品具有较好的可靠性与可用性。2)在空间分布上,耕地资源具有明显的优势地貌特征,主要分布于海拔低于3 500 m、坡度<15°、地形位指数<1.24的平原和丘陵区域,且分布重心向西南方向迁移了12.88 km。3)在时间变化上,2000−2020年近20年间耕地资源总面积呈小幅度减少趋势,至2020年减少了188.17万 hm2,尤其以优质耕地减少最为显著,除陕西省以外,各省、直辖市均呈减少趋势。且此通过协同集成利用多源遥感数据和其他多元数据以及最新的科技赋能支撑手段与途径,实现大范围、长时序、高精度的耕地动态监测与分析,合理制定科学发展规划,实施差异化的耕地保护措施与奖惩机制、优化土地利用结构等是缓解我国北方种植制度过渡区耕地资源持续减少、防止治优质耕地被占用的重要保障。

关键词: 耕地监测, 时空特征, 种植制度过渡区, 对策建议

Abstract:

As a crucial component of the agro-pastoral ecotone, the single cropping and double cropping system transition zone in northern China is mainly located in the central section of the Mid-Spine Belt of Beautiful China, and it is very significant to monitor the spatiotemporal dynamics of cultivated land in this region by using remote sensing technology to effectively protect the cultivated land and sensitive agro-ecological environments, rationally develop the land resources, and make scientific regional development strategies and planning regarding its sustainable development goal. Based on the platform of Google Earth Engine (GEE) with the advantages of remote sensing data processing and analysis, in this study we used its multi-source and multi-resolution remote sensing satellite images and built a recognition feature set of cultivated land, and then, a long-time series of cultivated land information over the study region was obtained totaling 11 periods from 2000 to 2020 by employing random forest classifiers, and those spatiotemporal dynamics characteristics were analyzed. The results show: (1) the cultivated land remote sensing identification products for 11 periods from 2000 to 2020, obtained from GEE, are well reliable and applicable, which show an overall accuracy higher than 90% with a Kappa coefficient over 0.8, based on sampled cross-validation approach, and meanwhile most accuracies ranged between 65% and 80% that were validated against the official statistical data on cultivated land area; and (2) as for spatial distribution, there existed an obvious dominant geomorphic feature in terms of the cultivated land resources over the study region, mainly distributed in the plain and hilly areas with an altitude of less than 3500m, a slope of less than 15 ° and a topographic potential index of less than 1.24, a gravity distribution center of which was located in Lishi County, Shanxi Province while it had shifted 12.88 kilometers towards the southwest over the past nearly 20 years; and (3) for temporal change of the total area of cultivated land resources in this region, there was a slight decrease with 188.17×104 hm2 from 2000 to 2020 (especially on the high-quality cultivated land with the most significant decrease, which is mostly located in the low-altitude plain areas), and except for Shaanxi Province, a decreasing trend had been shown in terms of all the other provinces and municipalities during the past nearly 20 years. Hence, this study demonstrates that it is necessary to synthetically use multi-source remote sensing data and other diverse datasets and collaboratively take advantage of scientific and technological means and approaches to enable large-scale, long-term, and/or high-precision cultivated land monitoring and analyses so as to serve reasonably formulating scientifically sound development plans and, further, carrying out differentiated cultivated land protection measures and incentive-penalty mechanisms and optimizing land use structures, etc., and those would become a critical path to mitigate the continuous loss of cultivated land resources in northern China's transitional farming zones and prevent the unreasonable encroachment and/or occupation on farmland (peculiarly upon permanent basic farmland).

Key words: cultivated land monitoring, temporal and spatial characteristics, cropping system transition zone, coping strategy