【作者】 马彥友； 由伯成； 张铁夫； 高雪莲； 莫虹； 樊广宇；

【Author】 MA YANYOU;YOU BOCHENG;ZHANG TIEFU;GAO XUELIAN;MAO HONG;FANG GUANGYU;HARBIN REMOTE SENSING SUB-CENTER,HEILONGJIANG ACADEMY OF AGRICULTURAL SCIENCES;

【机构】 黑龙江省农业科学院哈尔滨农业遥感分中心；

【摘要】 本文以NOAA/AVHRR绿度指数资料为主,结合使用资源卫星TM影像,对黑龙江省北安市地区的大豆产量进行了预测预报。通过分析发现,大豆地绿度指数是随着大豆生长逐渐提高,到开花结荚期达到最高,然后逐渐下降,呈现规律性的变化;产量高的地块的绿度指数普遍高于产量低的地块。应用1987,1988,1989三年各时相的绿度指数与对应的大豆地实割实测产量建立回归方程,其相对误差小于±10%,满足预报的要求,可以比较准确地估测出大豆增减产的趋势。此外,应用地面光谱资料与气象资料分别建立了大豆光谱产量模式与大豆气象产量模式,加上地面其它资料的配合,进行综合分析与相互补充以确保绿度指数模式预测预报的准确性。更多还原

【Abstract】 A study of applying NOAA-AVHRR data to soybean yield forecasting was carried out in Beian county of Heilongjiang province in the last three years of nineteen eighties and here is the conclusive paper of this study.In our the study,NOAA-AVHRR greeness index maps were the main data for analysis.LANDSAT-TM images and landuse maps over the studying area were subsidiary materials.By studying greeness index maps and caculating greeness value related to the studying area for three years,we found that soybean greeness value increases while soybean growing,and the value gets to the highest during soybean blossoming and bearing,fruit.In addition,higher greeness value corresponds to the plot with higher soybean yield.Finally,the regression equations for forecasting soybean yield in the studying area were created with NOAA-AVHRR data,and the forecasting accuracy is above 90%.Meanwhile,some spectral data models and meteorological data models were established to assess soybean’s growth and estimate soybean’s yield in the same area.Therefore,the study accuracy was much improved.更多还原