Yang Aixia, Zhong Bo, Hu Longfei, Kai Ao, Li Li, Zhao Fei, Wu Junjun
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
China Satellite Communications Co., Ltd., Beijing 100190, China.
Sensors (Basel). 2023 Aug 14;23(16):7158. doi: 10.3390/s23167158.
The assessment of land cover and changes will help to understand the temporal and spatial pattern of land cover in the world and the Belt and Road (B&R) region, and provide reference information for global sustainable development and the Belt and Road construction. In this paper, the 1 km global land cover classification maps of 2016 and 2020 with a high accuracy of 88% are mapped using the Moderate Resolution Imaging Spectroradiometer (MODIS) time series surface reflectance products. Based on the maps, the land cover status of the world and the Belt and Road region, the land cover change from 2016 to 2020, and the mutual transformation characteristics between various types, are analyzed. The research results indicate that from 2016 to 2020, the global change rates of cropland, forest, grassland, and impervious surface are 0.25%, 0.22%, 0.08% and 3.41%, respectively. In the Belt and Road region, the change rates of cropland, forest, grassland, and impervious surface are 0.42%, 0.60%, -0.55% and 2.98% respectively. The assessment results will help to clarify the spatial pattern of land cover change in the five years from 2016 to 2020, so as to provide valuable scientific information for the global realization of sustainable development goals and the construction of the B&R.
土地覆盖及其变化评估有助于了解全球及“一带一路”地区土地覆盖的时空格局，为全球可持续发展及“一带一路”建设提供参考信息。本文利用中分辨率成像光谱仪（MODIS）时间序列地表反射率产品绘制了精度高达88%的2016年和2020年1千米全球土地覆盖分类图。基于这些地图，分析了全球及“一带一路”地区的土地覆盖状况、2016年至2020年的土地覆盖变化以及各类别之间的相互转换特征。研究结果表明，2016年至2020年，全球耕地、森林、草地和不透水表面的变化率分别为0.25%、0.22%、0.08%和3.41%。在“一带一路”地区，耕地、森林、草地和不透水表面的变化率分别为0.42%、0.60%、-0.55%和2.98%。评估结果有助于厘清2016年至2020年五年间土地覆盖变化的空间格局，从而为全球实现可持续发展目标及“一带一路”建设提供有价值的科学信息。
