于 嵘, 蔡博峰, 温庆可, 王长耀. 基于MODIS植被指数的西北农业灌溉区生物量估算[J]. 农业工程学报, 2008, 24(10): 141-144.
    引用本文: 于 嵘, 蔡博峰, 温庆可, 王长耀. 基于MODIS植被指数的西北农业灌溉区生物量估算[J]. 农业工程学报, 2008, 24(10): 141-144.
    Yu Rong, Cai Bofeng, Wen Qingke, Wang Changyao. Crop biomass estimation in irrigated agricultural areas, Northwestern China using MODIS vegetation indices[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(10): 141-144.
    Citation: Yu Rong, Cai Bofeng, Wen Qingke, Wang Changyao. Crop biomass estimation in irrigated agricultural areas, Northwestern China using MODIS vegetation indices[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(10): 141-144.

    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

    • 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.

       

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