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基于高分遥感数据校正的MODIS草地生物量监测模型精度评价

ISSN号：1007-0435
期刊名称：《草地学报》
时间：0
分类：TP79[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] S812[农业科学—草业科学;农业科学—畜牧学;农业科学—畜牧兽医]
作者机构：[1]草地农业生态系统国家重点实验室兰州大学草地农业科技学院,甘肃兰州730020
相关基金：国家自然科学基金项目（31228021）;农业部公益性行业（农业）科研专项项目（201203006）;中国工程院重大咨询研究项目（2012-ZD-7）;长江学者和创新团队发展计划（IRT13019）;兰州大学中央高校基本科研业务费专项资金（lzujbky-2013-212）资助

作者：胡远宁[1], 冯琦胜[1], 陈思宇[1], 修丽娜[1], 梁天刚[1]

关键词： MOD09GA, RapidEye, WorldView-2, NDVI, 相关性, 生物量, MOD09GA, RapidEye, WorldView-2, NDVI, Correlation, Biomass

中文摘要：

利用玛曲县尼玛镇研究区2009年8月30日的RapidEye影像和2011年8月27日的WorldView-2影像及同时段的MOD09GA产品,计算分析了基于高分影像的NDVI与基于MOD09GA的NDVI的相关关系,对基于MOD09GA NDVI的甘南州草地生物量模型进行了修正,并对修正后模型的估产精度进行了比较和评价.结果表明：基于MOD09GA NDVI（x）的甘南州草地生物量最优模型为指数模型（Y=1026.027e1.4666x）,其R2为0.571,高于其线性、乘幂、对数等模型;研究区内MOD09GA NDVI与依据RapidEye和WorldView 2计算的NDVI（分别记作Nr和Nw）之间均具有显著的线性相关关系,且后者略优于前者,回归方程分别为Nr=1.2713x-0.2183和Nw=0.9559x＋0.0679;结合MOD09GA NDVI与WorldView-2 NDVI回归方程对甘南州 MOD09GA NDVI与草地生物量模型进行修正后,得到的生物量更接近实测值,在研究区内平均估产精度可达84.73％,比未修正的估算模型精度提高1.08％.说明利用高分遥感影像修正的MODIS估产模型具有更好的精度.

英文摘要：

RapidEye image,WorldView-2 image and the simultaneous MOD09GA products of the study area in Nima Township were used to calculate and analyze the correlations between MOD09GA NDVI and NDVI of high resolution satellite images in this paper.The regression model between MOD09GA NDVI and biomass measured in Gannan grassland was revised,and then the accuracies of the revised models were compared and assessed.The results indicate that,firstly,the optimal model between MOD09GA NDVI and the biomass in Gannan grassland is exponential model （Y =1026.027e1.466x）,the R2 value is higher than that of linear model,power model and logarithmic model.Secondly,MOD09GA NDVI has good correlations with both RapidEye NDVI （Nr） and WorldView 2 NDVI （Nw） in the study area,and the latter is superior to the former.The regression equations are Nr=1.2713x-0.2183 and Nw =0.9559x ＋ 0.0679.And then combining with the regression equation of MOD09GA NDVI and WorldView-2 NDVI,the biomass values simulated by the revised regression model between MOD09GA NDVI and biomass in Gannan grassland are much closer to the measured values,means that,the average yield estimation accuracy in the study area is 84.73%,which suggests that the revised model has a better accuracy and plays an important role in improving the simulation of grassland biomass in pastoral area.

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