摘要
流域不透水面能直接影响非点源污染的转移模式,降低受纳水体质量,对生态环境造成巨大压力,是流域生态水文模型的一个重要参数。针对流域不透水面遥感信息提取及尺度依赖性问题,从像元、亚像元两个尺度进行了研究,论述了流域初始分类与样本获取、局部不透水面信息提取和亚像元级不透水面覆盖率计算的技术方法。以福建省九龙江流域为例,对2010年不透水面空间格局进行了提取,其总体精度达到82.81%,验证了本文研究成果的实用性。
The river basin impervious surface area( ISA) can influence the non-point pollution discharge mode,decrease the water quality,add more pressure on the river basin ecological environment. So it is a key factor for ecohydrological model of the river basins. In this paper,aiming at the problem of river basin impervious surface area remote sensing information extraction and scale dependence,the study will be put forward from pixel and sub-pixel levels. The contents include the initial classification and sample extraction method of the river basin,the local ISA information extraction and the coverage percentage calculation of ISA in sub-pixel level. In the end,taking Jiulong River Basin as example,ISA spatial pattern in 2010 was extracted. The result shows the ISA extraction precision reaches 82. 81%. It varifies that the achievement of the paper is practical.
出处
《自然灾害学报》
CSCD
北大核心
2015年第1期61-65,共5页
Journal of Natural Disasters
基金
国家自然科学基金资助项目(61074132
61375002
61473286)
遥感科学国家重点实验室自由探索项目
水利部公益性行业科研专项经费项目(201201092)
国际科技合作计划项目(2010DFA92720)
关键词
流域
不透水面
遥感信息提取
九龙江流域
river basin
impervious surface area,remote sensing information extracting Jiulong river basin