论文部分内容阅读
本文基于多时相中巴地球资源卫星CBERS CCD数据,以鹿洼煤矿塌陷区为例,利用混合像元分解技术开展土地利用/覆盖变化LUCC检测.分别选取研究区域的2002年、2006年和2010年3个时相的CBERSCCD图像作为遥感数据源,将粒子群优化算法引入到端元提取中,基于线性光谱混合模型提取鹿洼煤矿塌陷区水体、建筑用地、农田和土壤4类地物信息,并对结果进行统计分析.LUCC检测结果表明,2002年至2010年间,鹿洼煤矿塌陷地面积逐年增加,造成大面积农田积水,导致无法进行作物耕种.最后,结合当地政府采取的塌陷地治理措施分析了土地利用变化情况.
Based on the multi-temporal CBERS CCD data of China Earth Resources Satellite (CBERS) and the subsidence area of Luwa Coalmine, the LUCC detection of land use / cover change was carried out by using mixed pixel decomposition technique. CBERSCCD images of three phases are used as remote sensing data sources, and particle swarm optimization is introduced into the endmember extraction. Based on the linear spectral mixture model, four kinds of ground objects information of water body, construction land, farmland and soil in Luwa coal mine subsidence area are extracted. The results of the statistical analysis.LUCC test results show that from 2002 to 2010, Lupu coal mine subsidence area increased year by year, resulting in large areas of farmland water, resulting in no crop cultivation.Finally, in conjunction with the local government measures to take subsidence Analyzed the changes of land use.