College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, D11 Xueyuan Road, Beijing 100083, People's Republic of China.
College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, D11 Xueyuan Road, Beijing 100083, People's Republic of China.
Sci Total Environ. 2022 Feb 1;806(Pt 1):150318. doi: 10.1016/j.scitotenv.2021.150318. Epub 2021 Sep 14.
Most studies have extensively evaluated the extent and direction of land-use change in coal mining areas; however, they did not adequately describe the time dimension of cultivated land changes at the pixel scale. In this study, we reconstructed the time-series of the normalized difference vegetation index (NDVI) using best index slope extraction-wavelet transform (BISE-WT) filtering. The trajectory type of cultivated land change was identified based on the time-series curves of those original cultivated land pixels using the modified normalized difference water index (MNDWI), normalized differences building index (NDBI), and bare soil index (BSI). Additionally, the time nodes of cultivated land changes were detected based on the NDVI time-series data, MNDWI, NDBI, and BSI. The results showed that this clustering method had the highest overall accuracy (89.90%) and the highest kappa coefficient (86.36%) of those three methods. Moreover, the overall accuracy of different trajectory types, time node detection in cultivated land converted to other lands, and the restored cultivated land from other lands were 0.9005, 0.9438, and 0.9430, respectively, and the kappa coefficient were 0.8803, 0.9390, and 0.9371, respectively. The conversion from cultivated land to non-cultivated land mainly occurred during 1989-2005, while the reclamation of cultivated land mainly occurred in 2009, 2011, and 2013. Permanent cultivated land accounted for the highest proportion (56.26%) of the five trajectory types. The proportion of cultivated land converted to non-cultivated land to cultivated land was 18.51%, and the proportion of disturbed cultivated land that was not reclaimed was 25.23%. The proportion of cultivated land converted to the developed was the comparatively high (17.73%), and that of the restored cultivated land after conversion from cultivated land to waterbody was the lowest (0.53%). The results of this study provide a scientific basis for guiding land reclamation, ecological restoration, and evaluating sustainability in the overlapping areas of crop and mineral production.
大多数研究都广泛评估了采煤区土地利用变化的程度和方向；然而，它们没有充分描述像素尺度上耕地变化的时间维度。在本研究中，我们使用最佳指数斜率提取-小波变换 (BISE-WT) 滤波重建归一化差异植被指数 (NDVI) 的时间序列。基于原始耕地像素的时间序列曲线，使用改进的归一化差异水体指数 (MNDWI)、归一化差异建筑物指数 (NDBI) 和裸土指数 (BSI) 确定耕地变化的轨迹类型。此外，根据 NDVI 时间序列数据、MNDWI、NDBI 和 BSI 检测耕地变化的时间节点。结果表明，这种聚类方法的总体精度最高（89.90%），三种方法的kappa 系数最高（86.36%）。此外，不同轨迹类型、耕地转化为其他土地的时间节点以及从其他土地恢复的耕地的总体精度分别为 0.9005、0.9438 和 0.9430，kappa 系数分别为 0.8803、0.9390 和 0.9371。耕地向非耕地的转化主要发生在 1989-2005 年期间，而耕地的开垦主要发生在 2009、2011 和 2013 年。永久性耕地占这 5 种轨迹类型的比例最高（56.26%）。耕地转化为非耕地到耕地的比例为 18.51%，未开垦的受干扰耕地的比例为 25.23%。耕地转化为开发区的比例相对较高（17.73%），耕地转化为水体后恢复的耕地比例最低（0.53%）。本研究结果为指导矿区复垦、生态修复、评价农矿生产重叠区的可持续性提供了科学依据。
