基于TM数字图像的耕地变化检测及其驱动力分析

以黄河三角洲垦利县为研究靶区，采用多时相陆地卫星TM 数据，对耕地的动态变化及其驱动力进行了系统研究。采用人机交互式的目视解译和人工修正方法提取耕地信息，以分类后比较法和历史土地利用专题图支持下的目视检测方法进行耕地变化信息的获取。在此基础上，建立了基于TM数字图像的耕地变化及其自然和人为驱动力指标，通过耕地变化及其相关因素分析、空间一致性分析等，确定了耕地变化的驱动因子。结果表明：从1987年至1998年，垦利县耕地面积减少了5 321.8 hm²，平均每年减少483.8 hm²，耕地的减少主要分布于中部稻田区和东北部旱区。不良的人为活动、土壤盐渍化和水源的匮乏是该区耕地动态变化的驱动因子。

TM digital image based cultivated land change detection and driving force analysis in Kenli County of the Yellow River Delta

Taking Kenli County of the Yellow River delta as a case, and using digital satellite remote sensing TM data, the cultivated land change and their corresponding driving forces were explored. An interactive interpretation and manual modification procedure were carried out to acquire cultivated land information. Classification results overlay and land use map supported visual change detection methods were employed to cultivated land change detection. Based on the change detection results, indices of cultivated land change as well as its natural and human-related driving forces derived from TM data were established. Driving forces of cultivated land change were determined by spatial analysis between cultivated land and related natural and socio-economic factors. The results showed that cultivated land in Kenli County was decreased by 5321.8 hm² from 1987 to 1998, i.e. 483.8 hm² per year, which was spatially distributed in central paddy field region and northeast dry land region. Adverse human activities, soil salinization, and water deficiency are the driving forces which lead to cultivated land change in this region.