摘要
针对川西北江河源区草地退化问题,文章提出了基于光谱混合分析模型的草地退化遥感监测方法,利用1995年和2009年两期Lansat-5TM遥感数据,以川西北江河源区石渠县为研究实例区,提取该地区亚像元级土地覆被分类信息;并运用变化向量分析模型得出研究区14年间草地退化情况及植被增长情况的分布特征与面积统计结果;进一步对监测到的变化结果进行等级划分后,总结出该地区1995年—2009年草地退化情况的时空变化格局。研究结果能够对该地区的具体草地生态环境建设措施提供科学参考,有助于该地区生态环境建设资金、资源的科学合理配置。
Landsat images acquired in 1995 and 2009 were analyzed for the purpose of monitoring grassland degradation in Shiqu County, northeastern Sichuan Province in the paper. By using Spectral Mixture Analysis （SMA） model, sub-pixel fractions of land cover components were obtained, and Change Vector Analysis （CVA） model was applied to get the change results which consist of both grassland degradation and vegetation re-growth, showing the spatial-temporal change patterns of grassland degradation and vegetation re-growth in Shiqu County between 14 years. The study results would assist the development of the environmental restoration measures and environmental protection measures in Shiqu County as a scientific reference.
出处
《测绘科学》
CSCD
北大核心
2015年第7期49-53,共5页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41401659)
四川省科技厅项目(2014ZR0145)
国家级大学生创新创业训练计划项目(201310616010)
国家级大学生创新创业训练计划项目(201410616023)
关键词
草地退化
江河源区
光谱混合分析
变化向量分析
grassland degradation
headwaters region
spectral mixture analysis
change vector analysis
