ASTER卫星遥感影像在冬小麦品质监测方面的初步应用

Preliminary application of ASTER images in winter wheat quality monitoring

该文利用A STER遥感数据在冬小麦品质监测方面进行了初步的应用。根据2004年搭载A STER传感器的T erra卫星的过境周期,对北京郊区21个冬小麦试验点进行田间取样试验,通过分析试验点冬小麦叶片生化组分(叶绿素a)与氮素间的关系、冬小麦叶片氮素含量与籽粒品质(蛋白质含量)间的关系、以及冬小麦A STER影像冠层光谱信息与叶片生化组分和籽粒品质之间的关系,发现:冬小麦灌浆期小麦叶片叶绿素含量与同期A STER影像的光谱信息-NDV I之间有良好的相关性,而冬小麦籽粒蛋白质含量也与A STER影像波段2之间有很好的相关性;利用A STER遥感影像对冬小麦灌浆期叶绿素以及籽粒蛋白质含量进行建模并反演,能够在较大的范围里了解冬小麦的品质信息,并能够在一定程度上对作物的籽粒蛋白质含量等品质进行预测;研究还表明,利用遥感技术来进行小麦籽粒蛋白质等主要品质指标的预测是可行的。研究成果为利用遥感技术监测冬小麦长势和籽粒品质提供了理论依据,开辟了遥感应用的新途径。

ASTER image has important application potential in agriculture for more precise spatial and spectrum resolution. In this study, several field experiments were carried out at 21 study fields of Beijing suburb in 2004, according to the pass time of Terra satellite -the platform placed on the ASTER. Some correlation analyses between winter wheat leaf chlorophyll and leaf nitrogen, wheat leaf nitrogen and grain protein, and wheat canopy spectrum information from the ASTER image with wheat leaf biochemical content and grain quality were made to all study fields in this paper. Then the results show that at the filling stage of winter wheat, the leaf biochemical parameters chlorophyll has good correlation with the spectrum parameters NDVI, and the grain protein has good relation with the ASTER band 2. By using the model that established by ASTER spectrum information and wheat leaf chlorophyll and grain protein information, people can acquire the wheat growth information and in some degrees, can investigate the wheat quality of the whole area. The results also show that it is feasible to use remote sensing technology to predict the wheat quality. This research offered a new way and theory basis for remote sensing application.