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Title 基于HJ-1 CCD的夏玉米FPAR遥感监测模型
Year 2010
Authors 陈雪洋,蒙继华,吴炳方,朱建军,杜鑫,张飞飞,钮立明
English Authors Chen Xueyang, Meng Jihua, Wu Bingfang, Zhu Jianjun, Du Xin, Zhang Feifei, Niu Liming
Keywords 农作物,模型,监控,HJ-1 卫星,夏玉米,FPAR,植被指数
English Keywords crops, models, monitoring, HJ-1, corn, FPAR, vegetation index
Journal Link www.txsae.org
PDF 2014520153443121.pdf
Abstract 以山东禹城为研究区,利用我国自主研发运行的HJ-1 卫星数据,计算了4 种植被指数(NDVI,RVI,SAVI,EVI),结合同步观测数据,对植被指数与实测FPAR 进行回归分析,比较4 种植被指数模型对夏玉米FPAR 的估测精度,结果表明各植被指数与FPAR 均具有较高的相关性,整个研究区NDVI 具有最高的反演精度,对估算夏玉米FPAR 的最优模型进行验证,得出模型的平均误差仅为3.8%,模型达到了较高的精度。利用HJ-1 CCD 反演了山东禹城9 月的FPAR。
English Abstract Based on the China environment and disaster reduction satellite data from Yucheng study area in Shandong Province, the four vegetations (NDVI, RVI, SAVI, and EVI) were calculated. The estimation precision of the four vegetation indexes model for the summer maize was compared by the regression analysis of the vegetation indexes with the survey data and integrated the synchronization observation data. The results indicated those vegetation indexes with high relation to FPAR; the NDVI was the top inversion precision, the optimum model to estimate the summer maize was FPAR, the model validation mean error was 3.8%. That is, the model with high precision and using the model to inverse the September FPAR of Yucheng research region in Shandong Province .