基于波段比模型的地形调节植被指数组合算法构建与验证

为消除山区植被遥感监测中的地形影响,该文根据山区主要地物波谱曲线特征和波段比模型等基本原理,构建地形调节植被指数（topography-adjusted vegetation index,TAVI）组合算法。首先,提出TAVI研究思路。其次,利用山区Landsat8多光谱遥感影像分析山区主要地物波谱曲线特征,阐释TAVI光谱原理。接着,用红光波段数据构建新的阴影植被指数（shady vegetation index,SVI）,并优选比值植被指数（ratio vegetation index,RVI）与SVI形成TAVI组合算法,再结合地形调节因子＂极值优化＂算法计算TAVI结果。最后,采用目视...

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Bibliographic Details
Published in农业工程学报 Vol. 33; no. 5; pp. 156 - 161
Main Author 江洪 何国金 黄海明 曹小杰 汪小钦 张兆明
Format Journal Article
LanguageChinese
Published 福州大学地理空间信息技术国家地方联合工程研究中心,空间数据挖掘与信息共享教育部重点实验室,海西政务大数据应用协同创新中心,福州350002%中国科学院遥感与数字地球研究所,北京,100094%福州大学地理空间信息技术国家地方联合工程研究中心,空间数据挖掘与信息共享教育部重点实验室,海西政务大数据应用协同创新中心,福州350002 2017
中国科学院遥感与数字地球研究所,北京100094
Subjects
光谱分析
地形
地形影响
植被
植被指数
组合算法
vegetation index
topographic effect
spectrum analysis
植被
topography
地形
组合算法
光谱分析
植被指数
vegetation
地形影响
combinational algorithm
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ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2017.05.023

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Summary:为消除山区植被遥感监测中的地形影响,该文根据山区主要地物波谱曲线特征和波段比模型等基本原理,构建地形调节植被指数（topography-adjusted vegetation index,TAVI）组合算法。首先,提出TAVI研究思路。其次,利用山区Landsat8多光谱遥感影像分析山区主要地物波谱曲线特征,阐释TAVI光谱原理。接着,用红光波段数据构建新的阴影植被指数（shady vegetation index,SVI）,并优选比值植被指数（ratio vegetation index,RVI）与SVI形成TAVI组合算法,再结合地形调节因子＂极值优化＂算法计算TAVI结果。最后,采用目视比较、统计分析和差值分析证明TAVI组合算法达到经大气加地形校正后遥感影像计算的NDVI的削减地形影响的效果,其与太阳入射角余弦值一元线性回归方程斜率降至0.035,相关系数降至0.075。TAVI组合算法可应用于山区植被信息和有关参数的遥感监测与估算。
Bibliography:topography; vegetation; spectrum analysis; topographic effect; vegetation index; combinational algorithm
11-2047/S
A novel combination model of topography-adjusted vegetation index（TAVI）was developed based on the band-ratio model and spectral feature of land covers in a rugged terrain to reduce the topographic effect.Firstly,the topographic correction strategies in rugged terrain were introduced,including the traditional empirical statistical model based on digital elevation model（DEM）,terrain radiative transfer model combined with DEM and band-ratio model.With the support of terrain radiative transfer model basic principle,the concept model of TAVI was proposed to eliminate the topographic effect.Secondly,the operational land imager（OLI）7 bands of Landsat 8 on December 13th,2014,in a sample within research area in Fuzhou city,China were illustrated.Meanwhile,the spectral features of 5 major land covers in the sample were also analyzed,such as the cement road,water,vegetation in flat,vegetation in shady slope a
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2017.05.023