基于MODIS数据的煤矿区植被叶绿素反演

L. Cheng, Lin Sun
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摘要

利用植被指数NDVI、viggreen、VARI、EVI,结合野外植被冠层反射率和冠层叶绿素含量,建立一维线性反演模型。结果表明,NDVI模型的精度要高得多。但4个指标建立的模型精度最高,相关系数为0.503,均方根误差为0.3969mg/g。模型预测叶绿素值与实测值具有良好的线性关系,决定系数为0.546。利用MOD09A1(2009年)的地表反射率产品获取叶绿素的空间分布,分析叶绿素变化的区域特征和季节特征。
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Vegetation chlorophyll inversion of coal mining area based on MODIS data
Vegetation indices of NDVI, VIgreen, VARI, EVI were used to establish the one-dimensional linear inversion model combing with field vegetation canopy reflectance and canopy chlorophyll content. By comparison of the results, the model accuracy of NDVI is much higher. But the model established by the 4 indexes has the highest accuracy with the correlation coefficient of 0.503 and root mean square error of 0.3969mg/g. There is a good linear relationship between model predicted chlorophyll value and measured value, the coefficient of determination is 0.546. Surface reflectance products of MOD09A1 (Year 2009) is used to get chlorophyll spatial distribution and to analyze the regional and seasonal characteristics of chlorophyll variation.
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