西北林学院学报2024，Vol.39Issue(1)：36-43,8.DOI:10.3969/j.issn.1001-7461.2024.01.05
基于GEE的苹果园地遥感信息提取研究
Remote Sensing Extraction of Apple Orchard Based on GEE-A Case Study of Weibei Plateau Region in Shaanxi Province
摘要
Abstract
Shaanxi Province is the best apple production region in the world with the largest contiguous ap-ple planting area.Accurate understanding of the spatial patterns and dynamic changes of apple orchards is of paramount importance for the advancement of strategic planning of the apple industry.Fourteen counties located in the Weibei Plateau of Shaanxi Province were taken as the research area.Based on the Google Earth Engine(GEE)cloud computing platform,leveraged Level-2 A data from Sentinel-2 remote sensing images in 2020 were used as data source.Combining with the 461 on-site sample points from apple or-chards,a comprehensive set of 21 classification features including spectral features,remote sensing vegeta-tion index,texture features,and topographic features were constructed.The random forest classification method was used to extract the spatial information of apple orchards in the Weibei Plateau.The results showed that the planting area of apple orchards was 200 300 hm2.Apple orchards with contiguous distribu-tion were mainly distributed in Luochuan of Yan'an,Baishui of Weinan,Chunhua of Xianyang,and Binzhou of Xianyang,with planting areas of 35 400,32 100,29 000 hm2 and 25 100 hm2,respectively.The scheme combining spectral features,remote sensing vegetation index,texture features,and topographic features performed the best among all these classification schemes with overall accuracy and the Kappa coefficient of 94％and 0.86,respectively.Our findings provide a scientific basis and data support for the rational plan-ning of the apple industry and the refined management of apple orchards in Shaanxi.关键词
Google Earth Engine/苹果园/Sentinel-2/纹理特征/渭北旱塬区Key words
Google Earth Engine/apple orchard/Sentinel-2/texture feature/Weibei Plateau region分类
农业科技引用本文复制引用
陈印,刚成诚,刘欢欢,刘悦,范蒙恩,陈宇,张曼,于子涵..基于GEE的苹果园地遥感信息提取研究[J].西北林学院学报,2024,39(1):36-43,8.基金项目
国家自然科学基金(31602004) （31602004）
青海省防灾减灾重点实验室开放基金(QFZ-2021-Z06) （QFZ-2021-Z06）
陕西省自然科学基金(2021JQ-171). （2021JQ-171）
