Use of airborne hyperspectral image data to assess winter wheat yield

PHI (pushbroom hyperspectral imager) is a hyperspectral imaging sensor which was developed by Chinese Academy of Science. From April to May of 2002, three airborne PHI images were obtained over a winter wheat field near Beijing. In this paper, wheat yield prediction models are established using PHI spectrum information and after-harvest grain yields data. Within-field yield variability was mapped for entire wheat field based on the models. A yield map was produced from the combine harvest yield data to evaluate those models. The analysis results indicates that (1) hyperspectral remote sensing data could be used to estimate yields in winter wheat yield, (2) new and more effective indicators are needed to capture more of the factor´s that affect crop yield, and such parameters should be extracted from remote sensing data