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基于MODIS植被指数的西北农业灌溉区生物量估算

Crop biomass estimation in irrigated agricultural areas,Northwestern China using MODIS vegetation indices

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【作者】 于嵘蔡博峰温庆可王长耀

【Author】 Yu Rong1,2,Cai Bofeng1,3,Wen Qingke1,Wang Changyao1(1.Institute of Remote Sensing Application,Chinese Academy of Sciences,Beijing 100101,China;2.Guangxi Research Academy of Environmental Protection,Nanning 530022,China;3.Beijing Municipal Research Academy of Environmental Protection,Beijing 100037,China)

【机构】 中国科学院遥感应用研究所广西壮族自治区环境保护科学研究院北京市环境保护科学研究院

【摘要】 利用新疆艾比湖农业灌溉地区MODIS EVI遥感影像数据和同期野外调查获得的75个样方生物量数据,对比分析了EVI与地表生物量多个回归方程的相关系数,进而建立了EVI与农作物生物量的多元回归模型。地表农作物生物量与EVI拟合方程相关系数大小依次为:幂函数>指数方程>三次多项式方程>一元线性拟合方程,同时采用13个独立样方采样数据进行误差分析,证明幂函数模型拟合精度最高。因此采用幂函数模型对研究区农作物生物量进行估算,结果表明,在人工灌溉地区,作物生长茂盛,生物量分布于1~10 kg/m2区间;而在非浇灌地区,地表植被稀疏,多为耐旱耐盐碱植物,地表生物量多在1 kg/m2以下。西北农业灌溉地区地表生物量与土壤水分密切相关,人工灌溉是影响地表农作物生物量变化的主要因素。

【Abstract】 Based on field survey data,MODIS Enhanced Vegetation Index(EVI) image acquired in 2005 was applied for crop biomass estimation in Ebinur lake area.A total of 75 plots were investigated and the relationship between biomass and vegetation indices was clarified.A series of regression models comparing biomass and EVI were established.The sequence of correlation coefficients from high to low was power regression>exponential regression>polynomial regression>linear regression.The tested result by expressing with power regression model gave more accurate estimation(r=0.78).A crop biomass distribution map was derived,the crop biomass was higher in irrigated areas(between 1 kg/m2 and 10 kg/m2) and lower in non-irrigated areas(less than 1 kg/m2),indicating that the local crop biomass is mainly influenced by agricultural irrigation conditions.

【基金】 中国科学院知识创新重大方向性项目(KZCX3-SW-334);广西科学研究与技术开发计划(0663020)
  • 【文献出处】 农业工程学报 ,Transactions of the Chinese Society of Agricultural Engineering , 编辑部邮箱 ,2008年10期
  • 【分类号】S127
  • 【被引频次】29
  • 【下载频次】449
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