利用航空成像光谱数据进行冬小麦产量预测

Use of Airborne Hyperspectral Image Data to Assess Winter Wheat Yield

以国产成像光谱仪PHI(PushbroomHyperspectralImager)所获遥感影像数据为基础,根据田间冬小麦单产遥感研究试验数据建立了研究区不同时相冬小麦单产预测模型,实现了利用航空高光谱遥感数据对研究区小麦产量的整体预测;对试验区土壤氮素水平与不同时相冬小麦预测产量以及试验区实测产量进行了初步分析,分析结果显示:土壤氮素分布的差异性对小麦的产量有明显影响。

Recently due to the advance of hyperspectral imaging technology, hyperspectral image sensors which have tens or even hundreds spectral bands have been invented. Comparing to the traditional multispectral images, hyperspectral images include richer and finer spectral information than the images can be obtained before. PHI(Pushbroom Hyperspectral Imager)is a hyperspectral imaging sensor with 80 wavebands from 411.9nm to 832.8nm which invented and made by Shanghai Institute of Technical Physics of China. From April to May of 2002 three airborne images were taken according to different winter wheat growth stages in Beijing precision agriculture demonstration base. The mounted hyperspectral imaging sensor is PHI and the images spatial resolution reach 1 meter after the hyperspectral images were rectified and spectrally calibrated. In this paper, NDVI and other spectrum character parameters are obtained from images to reflect the growth condition of winter wheat, combined with the actual yield data got form 48 small winter wheat yield prediction test areas in Beijing precision agriculture demonstration base, some relations between vegetation indexes and yield of wheat are established. Then yield of whole winter wheat planting areas in base are estimated through those relations. On the other hand, soil basic nitrogen is an important influence factor to the growth condition of crop, in this paper, some analysis are taken between the soil basic nitrogen and the winter wheat yield. Research results show that correlation coefficients between soil nitrogen and yield reached notable correlation.