基于无人机影像数据的苹果产量模拟——以洛川县为例  

Simulation of the apple yield based on unmanned aerial vehicle image data——Taking Luochuan county as an example

作　　者：郭斌[1] 吴亚颜 周嘉耀 王周铸 石秦羽 田阳[1] 

机构地区：[1]西安科技大学测绘科学与技术学院,陕西西安710054

出　　处：《西安科技大学学报》2017年第3期450-454,共5页Journal of Xi’an University of Science and Technology

基　　金：国家自然科学基金(41501571);国家级大学生创新训练项目(201510704033);陕西省教育厅专项基金(16JK1495)

摘　　要：苹果是陕西省主要的经济作物之一,洛川县是陕西省主要的苹果生产区。利用无人机遥感迅速获取苹果长势数据,结合地理信息系统的空间分析与建模功能尝试性的预测苹果产量。文中采用多源数据,结合当地的统计年鉴包括苹果总产量、降水量、均温、日照等气象数据等,进行洛川县的苹果产量预测,并将预测结果与实际统计数据进行比较与分析。研究表明:遥感气象产量模型的准确度较高,模型R2为0.802,标准残差为11.26.针对苹果季节性生产的特点,利用无人机遥感实时动态的进行数据获取和分析,可以有效地对苹果产量进行预测。利用计量地理学的方法,对数据进行回归分析、方法可靠,可为农业管理部门提供决策依据。Apples are one of the most important cash crops in the Shaanxi Province. Luochuan I^ounty is a main apple product district of Shaanxi Province. This paper practices reaping apples＇ growth through an unmanned aerial vehicle remote sensing technique combined with spatial analysis function of Geographic Information System （ GIS ） to tentatively estimate apples ＇ output. Under the study process using multi- source data and combining the local statistical yearbook including apples＇ gross output, precipitation, temperature and sunshine etc.,we are able to predict the apples＇output in Luochuan County,then com- pare the estimated yield result of predicted model with the actual statistics and analyze the data. The re- suits show that the accuracy of the yield model of remote-sensing meteorology is higher than others＇ , the multiple correlation coefficient of the apples＇ yield model of remote-sensing meteorology is 0. 802 and its standardized residual is 11.26. Considering that apples provide a seasonal yield, it would be available for an efficient dynamic acquiring and analyzing of data to predict the outputby aerial vehicle＇ s remote sensing technique. Using the Quantity Geography, we carry out the regression analysis. The method is reliable ,which provides reference for decision-makers in agricultural industry.

关 键 词：遥感 GIS 回归分析 苹果估产 

分 类 号：P237[天文地球—摄影测量与遥感]