基于无人机影像数据的苹果产量模拟——以洛川县为例

发布时间：2018-05-01 03:05

本文选题：遥感 + GIS　；参考：《西安科技大学学报》2017年03期

【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。
[Abstract]:Apple is one of the main cash crops in Shaanxi Province, and Luochuan County is the main apple production area in Shaanxi Province. Rapid acquisition of apple growth data by UAV remote sensing, combined with the spatial analysis and modeling function of geographic information system (GIS), is an attempt to predict apple yield. In this paper, the forecast of apple yield in Luochuan County is carried out by using multi-source data and local statistical yearbooks, including total apple yield, precipitation, mean temperature, sunshine and other meteorological data, and the results are compared and analyzed with the actual statistical data. The results show that the accuracy of remote sensing meteorological yield model is high, R2 is 0.802 and the standard residual is 11.26. According to the characteristics of apple seasonal production, the real-time data acquisition and analysis by UAV remote sensing can effectively predict the apple yield. Using the method of econometric geography, the regression analysis of the data is carried out. The method is reliable and can provide the decision basis for the agricultural management department.
【作者单位】：西安科技大学测绘科学与技术学院;
【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)
【分类号】：S127;S661.1

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