Research Vertical Distribution of Chlorophyll Content of Wheat Leaves Using Imaging Hyperspectra

Abstract

Abstract Chlorophyll content is an important indicator for judging crop photosynthesis ability and monitoring growth status. Hyperspectral imaging is one of the hot spots in quantitative remote sensing research. As an image-spectrum merging technology, it could be used to explore and develop new methods for diagnosing of crop nutrition, diseases and insect pests. In this study, an auto-development pushbroom imaging spectrometer (PIS) was applied to measure the chlorophyll content of wheat leaves. The tested sites of spectrum and the chlorophyll content measured positions were on the same area of single leaf. Partial least square (PLS) regression was used to establish prediction models of chlorophyll content. The model accuracy of single leaf with values from different positions was evaluated; and the model accuracy of leaves from different layers was also studied. The results showed that the model of the leaf with 2, 4, 6 sites was better than that of 1, 3, 5 sites; those models of leaves from vertical le...