| 基于MODIS数据的小麦生物量估算模型研究 |
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| 引用本文： | 翟鹏程,张永彬,宇林军.基于MODIS数据的小麦生物量估算模型研究[J].测绘与空间地理信息,2017,40(7). |
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| 作者姓名： | 翟鹏程 张永彬 宇林军 |
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| 作者单位： | 1. 华北理工大学,河北 唐山,063009;2. 中国科学院遥感与数字地球研究所,北京,100101 |
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| 基金项目： | 国家自然科学基金项目，中国科学院遥感与数字地球研究所所长青年基金资助项目 |
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| 摘 要： | 地表生物量对农作物估产、植被长势评估具有很重要的意义。随着遥感技术的发展与应用,遥感为生物量估算提供了一种新的手段。本文以唐山市为例,利用小麦种植区的MODIS遥感影像数据和同期野外调查获得的16组32个生物量数据,对比分析了归一化植被指数(NDVI)、增强型植被指数(EVI)与小麦生物量多个回归方程的相关系数,进而建立了NDVI、EVI与小麦生物量的线性回归模型。结果显示,使用MODIS数据的植被指数能够很好地对研究区地上生物量进行估算,其中使用EVI的三次函数模型拟合精度最高,并且对每组数据进行平均处理会使模型精度进一步提高。
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| 关 键 词： | 遥感 地上生物量 线性回归 植被指数 |
Research on Models of Wheat Biomass Estimation Based on MODIS Data |
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| ZHAI Peng-cheng,ZHANG Yong-bin,YU Lin-jun.Research on Models of Wheat Biomass Estimation Based on MODIS Data[J].Geomatics & Spatial Information Technology,2017,40(7). |
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| Authors: | ZHAI Peng-cheng ZHANG Yong-bin YU Lin-jun |
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| Abstract: | The aboveground biomass for crop yield estimation, vegetation growth evaluation has very important significance.With the development of 3S, remote sensing provided a new way to the biomass estimation.This text made an example of Tangshan, used the MODIS data of wheat growing areas and 32 sets of 16 biomass data were obtained from the field survey in the same period,the correlation coefficients of NDVI, EVI and wheat biomass multiple regression equations were analyzed and compared, then built the linear regression models of NDVI, EVI wheat biomass.The result showed that the vegetation index of MODIS data could be a good estimate of the aboveground biomass of the study areas, the three function models which used EVI had the highest accuracy and it could improve the accuracy of the models by averaging data in each group. |
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| Keywords: | remote sensing aboveground biomass linear regression vegetation index |
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