摘要
在对航空平台OMIS成像光谱数据进行几何、辐射校正和反射光谱重建的基础上 ,根据大量田间同步采样数据建立的基于成像光谱特征参数的小麦冠层叶片叶绿素、水分、全氮、可溶性糖等生化参量反演模型 ,实现了用航空成像光谱数据对田间小麦冠层生化参量的整体反演。结果表明 ,用成像光谱数据对田间作物进行营养诊断是可行的 ;以生化参量为“波段”的彩色合成图像 。
After conducting geometrical and radiometric correction and reconstruction of reflectance spectrum from the airborne imaging spectrometer data, the models for retrieval of foliar biochemical parameters from the eigenvalues of imaging spectrometer data were established based on synchronous sampling data in the field. The foliar biochemical parameters, such as chlorophyll content, water content, total nitrogen content, soluble sugar content were retrieved for the whole field. The results showed that it is possible to use the imaging spectrometer data to diagnose crop nutrition status in the field. The color image composited by regarding biochemical parameters as specific band provide a new view angle for agronomists to explain the mechanism of crop yield formation based on spatial distribution and variability of biochemical parameters.
出处
《中国农业科学》
CAS
CSCD
北大核心
2002年第6期626-631,T003,共7页
Scientia Agricultura Sinica
基金
国家发展计划委员会"北京精准农业示范工程"资助项目 (A0 0 3 0 0 10 0 5 84)
关键词
航空成像
光谱数据获取
小麦
冠层信息
Imaging spectrum data
Wheat
Canopy
Precision agriculture
