改进FPAR的煤矿区植被NPP损失研究  

NPP lost in mining area based on improved FPAR

作　　者：黄翌[1,2] 汪云甲[2] 田丰[3] 谭兴龙[2] 

机构地区：[1]南通大学地理科学学院,南通226000 [2]矿山生态修复教育部工程研究中心、中国矿业大学,徐州221116 [3]哥本哈根大学地球科学与自然资源管理学院,丹麦哥本哈根DK-1350

出　　处：《干旱区资源与环境》2015年第2期49-54,共6页Journal of Arid Land Resources and Environment

基　　金：国家自然科学基金项目(51174287,41101428);江苏省普通高校研究生科研创新计划项目(CXZZ12_0942);山西省科技重大专项(20121101008);江苏省科技支撑计划(BE2012637);江苏师范大学自然科学研究基金项目(13XLA07)资助

摘　　要：基于遥感的CASA模型是测算植被NPP的主要方法之一,当前CASA模型中普遍以月内某一时刻或几个时刻的植被NDVI值计算光合有效辐射吸收比例(FPAR),这一方法忽略了月内FPAR的整体性和连续性,在计算中会产生较大误差。文中以煤矿区为例,首先通过时空自适应反射率融合模型构建高时空分辨率的矿区遥感影像,改进CASA模型中FPAR的计算方法,以FPAR连续函数均值代表月FPAR,并评价改进效果。通过FPAR损失量测算各植被NPP变化量,为煤矿区生态环境变化做出科学的判断。CASA model based on remote sensing is one of the main methods for measuring vegetation NP. Currently in the CASA model,the FPAR（ fraction of photosynthetically active radiation） is generally calculate by one time or several times of vegetation NDVI in one month,this method ignores the integrity and continuity of FPAR in the month,larger error will be made in the calculation produces. In this research the coal mining area was taken as an example,the space-time adaptive fusion reflectance model was applied to construct high spatial and temporal resolution remote sensing image,then calculation method of FPAR in CASA model was improved,and the monthly FPAR was represented by mean value of continuous function,and the improvement effect was evaluated. Changes of vegetation NPP was calculated by FPAR loss. The research can make a scientific judgment for the ecological environment change in coal mining area.

关 键 词：煤矿区 NDVI 开采损害 NPP CASA FPAR 

分 类 号：P237[天文地球—摄影测量与遥感] X281[天文地球—测绘科学与技术]