梁顺波, 孙林, 杜永明, 赵祥. 基于GEE平台的每年夏冬两期土地覆盖分类方法研究[J]. 北京师范大学学报(自然科学版). DOI: 10.12202/j.0476-0301.2023250
引用本文: 梁顺波, 孙林, 杜永明, 赵祥. 基于GEE平台的每年夏冬两期土地覆盖分类方法研究[J]. 北京师范大学学报(自然科学版). DOI: 10.12202/j.0476-0301.2023250
SHUNBO Liang, LIN Sun, YONGMING Du, XIANG Zhao. Research on land cover classification methods for each summer and winter based on the Google Earth Engine platform[J]. Journal of Beijing Normal University(Natural Science). DOI: 10.12202/j.0476-0301.2023250
Citation: SHUNBO Liang, LIN Sun, YONGMING Du, XIANG Zhao. Research on land cover classification methods for each summer and winter based on the Google Earth Engine platform[J]. Journal of Beijing Normal University(Natural Science). DOI: 10.12202/j.0476-0301.2023250

基于GEE平台的每年夏冬两期土地覆盖分类方法研究

Research on land cover classification methods for each summer and winter based on the Google Earth Engine platform

  • 摘要: 通过采用Landsat卫星遥感影像数据,利用GEE平台的大数据处理和分析能力,结合随机森林算法,开展了2000—2022年新疆地区的夏季和冬季土地覆盖变化的遥感监测.研究表明:通过输入光谱、光谱指数、地形、纹理、夜光等5个角度选取的18个特征,得到的新疆地区夏季和冬季土地覆盖分类结果的整体精度分别为95.59%和91.32%,Kappa系数分别为94.57%和88.36%.新疆地区夏季土地覆盖的主要变化发生在耕地、裸地、草地和人造地表之间的转化,而冬季的变化主要是雪地与其他土地类型之间的转变.本研究提供的夏冬两季产品有助于全面了解新疆地区土地覆盖变化的季节性动态变化特征,为农业生产、土地政策管理和资源管理提供数据支持.

     

    Abstract: This study utilized Landsat remote sensing image data and leveraged the big data processing and analysis capabilities of the Google Earth Engine (GEE) platform. By employing the Random Forest algorithm, this study conducted remote sensing monitoring of land cover changes in Xinjiang during the summer and winter seasons from 2000 to 2022. The findings of the study are as follows: 1) The overall accuracy of land cover classification in Xinjiang during the summer and winter seasons is 95.59% and 91.32%, respectively,with Kappa coefficients of 94.57% and 88.36%. 2) Over the past 23 years, the average annual growth rate of summer cropland in Xinjiang is 0.035%, urban area is 0.005%, bare land area decreases by 0.64% annually, grassland decreases by 0.34% annually, water bodies show an overall annual growth rate of 0.067%, and snow-covered area increases from 2.04% to 2.07%. Shrubland and wetland remain relatively stable. 3) Major changes in summer land cover in Xinjiang occur in the transitions between cropland, bare land, grassland, and artificial surfaces, while winter changes primarily involve transitions between snow-covered areas and other land cover types. Winter snow-covered area exhibits a decreasing trend, while other land cover types show an increasing trend. Snow-covered area decreases from 29.71% to 25.79% of Xinjiang’s total area, grassland increases by 1.47%, bare land slightly expands, and cropland experiences a slight growth of 0.62%. The seasonal products provided by this study for both summer and winter seasons contribute to a comprehensive understanding of the seasonal dynamic characteristics of land cover changes in Xinjiang. This information can be valuable for agricultural production, land policy management, and resource management by offering data support.

     

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