中国果树花期2016年近红外光谱和图像数据集  

Near-Infrared Spectral and Imaging Datasets of Fruit Tree Blooming in China in 2016

作　　者：王晓丽[1,3,4] 胡乾浩 满芮 刘婷婷[1,3,4] Wang Xiaoli;Hu Qianhao;Man Rui;Liu Tingting(Agricultural Information Institute of Chinese Academy of Agricultural Sciences,Beijing 100081,China;Beijing Vocational College of Agriculture,Beijing 102442,China;National Agriculture Science Data Center,Beijing 100081,China;Key Laboratory of Big Agri-Data,Ministry of Agriculture,Beijing 100081,China)

机构地区：[1]中国农业科学院农业信息研究所,北京100081 [2]北京农业职业学院信息中心,北京100081 [3]国家农业科学数据中心,北京100081 [4]农业农村部农业大数据重点实验室,北京100081

出　　处：《农业大数据学报》2021年第1期88-93,共6页Journal of Agricultural Big Data

基　　金：中国农业科学院创新工程:数据整合与应用服务研究(2020CX017)。

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 Field Spec3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。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 Field Spec3 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.

关 键 词：果树 花期 近红外光谱 图像 科学数据 

分 类 号：S-3[农业科学]