高光谱植被覆盖度遥感估算研究  

Hyper-spectral Remote Sensing Estimation for the Vegetation Cover

作　　者：包刚[1,2,3] 包玉海[1] 覃志豪[2] 周义[2] 黄明祥[1,4] 张宏斌 

机构地区：[1]内蒙古师范大学内蒙古自治区遥感与地理信息系统重点实验室,呼和浩特010022 [2]南京大学国际地球系统科学研究所,南京210093 [3]呼伦贝尔草原生态系统国家野外科学观测研究站,北京100081 [4]环境保护部信息中心,北京100029

出　　处：《自然资源学报》2013年第7期1243-1254,共12页Journal of Natural Resources

基　　金：国家重点基础研究发展计划(973计划)项目(2010CB951504);国家自然科学基金项目(41161060);内蒙古自然科学基金项目(2012MS0607);内蒙古师范大学"十百千"人才计划项目;北京大学"无人机遥感载荷综合试验场(北方试验场)"的大力支持

摘　　要：以北京大学"无人机遥感载荷综合试验场"为试验区,采集草地植被覆盖度(VegetationCover,VC)和相应样方冠层高光谱反射率数据,并对比研究了高光谱反射率三种变换形式(小波能量系数、主成分和植被指数)与VC之间的关系模型。结果表明:在三种变换形式中,植被指数模型(R2大于0.8,RMSE小于等于0.018 8)优于基于小波变换和主成分分析的VC模型;经过对高光谱数据进行小波分解获得的第二和第四小波能量系数与VC之间存在显著的对数相关(R2分别为0.811和0813;RMSE分别为0.019 9和0.019 8);以多个小波能量系数作为自变量的VC多元回归模型明显优于基于主成分的多元线性回归,R2和RMSE分别提高0.058和0.030;将高光谱EVI模型与TM-EVI数据相结合生成的试验区VC空间分布总体上呈北部和南部植被覆盖度高(分别>75%和>55%),中部相对低(15%～55%)的特征,与其土地利用/覆被特征相吻合。The vegetation cover（VC） and corresponding vegetation canopy reflectance curves were collected in ＂Remotely sensed loading integrated testing site of non-driving aircraft（North testing site）＂of Peking University,and the VC estimation models were developed and compared with each other based on the correlation between the conversion types（wavelet energy coefficient,principal component and vegetation index） of hyper-spectral curves and VC value.The result indicates： The hyper-spectral vegetation index-based model（R20.8,RMSE≤0.0188） is the best one of the three conversion types-based models,and EVI-based model is the best one among the other vegetation index-based models;the higher correlation coefficients existed between the second and the fourth single wavelet energy coefficient retrieved from 8-scale wavelet transformation and VC value（R2=0.811 and 0.813;RMSE=0.0199 and 0.0198,respectively）;the multi-regression model established between multiple single wavelet energy coefficients and VC works better than the model based on the principal component analysis,the R2 and RMSE were improved by 0.058 and 0.03,respectively;the VC spatial distribution map through combining EVI-based model and TM-EVI indicates that the higher VC is distributed in the northern（75%） and southern（55%） parts of the study site and the lower VC（15%-55%） is distributed in the middle part.The spatial distribution is consistent with the land use/cover characteristics.

关 键 词：植被覆盖度 小波能量系数 主成分分析 植被指数 

分 类 号：Q948[生物学—植物学] P237[天文地球—摄影测量与遥感]