Landsat8数据植被覆盖度遥感反演模型研究  

Study on remote sensing inversion model of vegetation coverage using landsat8

作　　者：乔占明[1,2] 王晓波 杨柳[1,2] 马永贵 QIAO Zhan-ming;WANG Xiao-bo;YANG Liu;MA Yong-gui(Provoncial Geomatics Center of Qinghai,Xining,Qinghai 810000;Geomatics Technology and Application Key Laboratory of Qinghai Province,Xining,Qinghai 810000;College of Life Sciences,Qinghai Normal University,Xining,Qinghai 810008;Key Laboratory of Qinghai-Tibet Plateau Medicinal Animal and Plant Resources,Xining,Qinghai 810008)

机构地区：[1]青海省基础地理信息中心,青海西宁810000 [2]青海省地理空间信息技术与应用重点实验室,青海西宁810000 [3]青海师范大学生命科学学院,青海西宁810008 [4]青海省青藏高原药用动植物资源重点实验室,青海西宁810008

出　　处：《青海师范大学学报（自然科学版）》2019年第1期54-58,共5页Journal of Qinghai Normal University(Natural Science Edition)

摘　　要：植被覆盖度遥感反演模型是定量的描述一定区域内植被的覆盖情况.本文主要利用Landsat8影像资源,采用优化土壤调节植被指数,依托像元二分模型建立植被覆盖度估算模型.同时利用均方根误差函数对其估算模型进行验证,直观地反应估算模型的精度.Remote sensing inversion model of vegetation coverage is a quantitative description of the vegetation coverage in a certain area.Based on Two-divided Pixel Model,the paper uses Landsat8 image resources and Optimized Soil Adjusted Vegetation Index to establish vegetation coverage estimation model.Then the paper uses the Root Mean Square Error Function estimation model to validate this inversion model and through that we directly get the model accuracy.

关 键 词：Landsat8 优化土壤调节植被指数 像元二分模型 均方根误差函数 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]