中国果树花期2016年近红外光谱和图像数据集

摘要：

在使用遥感技术进行果区研究时，首先需先进行果树树种的识别，否则会导致张冠李戴的现象，而不同果树花器在性状上较叶片更容易区分，因此在花期对果树树种进行识别是即经济又有效的方法。然而目前对果树花期数据的采集，多数为单品系的花期图像或光谱数据，对于果树花器的数据采集极少，多品种的数据采集也仅限于室外冠层光谱数据，同时采集室内和室外光谱和图像数据的研究较少。基于以上原因，利用ASD FieldSpec3便携式光谱分析仪采集了梨花、苹果花、杏花3种果树花期室内和室外的光谱数据，为记录花朵状态同时采集了果树花期室内和室外图像数据集，为今后探寻利用地面光谱测试数据对果树树种进行科学识别提供数据基础。

关键词: 果树, 花期, 近红外光谱, 图像, 科学数据

Abstract:

Remote sensing technology must first determine tree species in the area of interest before carrying out various follow-up tasks. Therefore, the classification of fruit tree species is particularly important. Fruit tree flowers are easier to distinguish using traits other than leaves. However, most of the currently collected fruit tree flowering data is from flowering period images or the spectral data of a single tree line. The data are also confined to outdoor canopy spectra, with limited studies in which indoor and outdoor spectral and imaging data have been collected simultaneously. Consequently, here, the ASD FieldSpec3 portable spectrum analyzer was used to collect indoor and outdoor spectral data during pear, apple, and apricot tree flowering periods. To record the flower states, the indoor and outdoor imaging datasets from the fruit tree flowering periods were collected for future evaluation. Using ground spectral test data to scientifically identify fruit tree species will provide a foundation for further research.

Key words: fruit tree, flowering period, near-infrared spectrum, image, scientific data

中图分类号: 

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