2016年中国果树花期2016年近红外光谱和图像数据集

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。

For remote sensing-based research in fruit-growing areas, the identification of fruit tree species must be conducted first; otherwise, misclassification of tree species will occur. Since the floral organs of different fruit tree species are more distinguishable in terms of morphological traits than their leaves, identifying fruit tree species during their flowering periods is an economical and effective approach. However, most current data collection efforts for fruit tree flowering periods only focus on single-cultivar flowering images or spectral data. Data collection targeting the floral organs of fruit trees is extremely rare, while multi-species data collection is limited to outdoor canopy spectral data, and studies that simultaneously collect both indoor and outdoor spectral and image data are scarce. For the above reasons, we collected indoor and outdoor spectral data of three fruit tree species (pear flower, apple flower, and apricot flower) during their flowering periods using an ASD FieldSpec3 portable spectral analyzer, and simultaneously collected indoor and outdoor image datasets of fruit trees during their flowering periods to document the condition of the flowers, providing a data foundation for future research on scientifically identifying fruit tree species using ground-based spectral measurement data.

搜集汇总

背景与挑战

背景概述

该数据集是2016年采集的中国果树花期数据，包含梨花、苹果花和杏花三种果树的近红外光谱和图像数据，覆盖室内和室外环境。其特点在于针对花期花器进行多品种数据采集，弥补了现有研究中单品系数据或仅室外光谱数据的不足，旨在支持果树树种识别研究，为遥感应用提供基础数据。