基于Sentinel-2影像的冬小麦收获面积测算  

Estimation of Winter Wheat Harvesting Area based on Sentinel-2 Images

作　　者：刘胜威 彭代亮 陈俊杰[1] 胡锦康 楼子杭 冯旭祥 程恩惠 LIU Shengwei;PENG Dailiang;CHEN Junjie;HU Jinkang;LOU Zihang;FENG Xuxiang;CHENG Enhui(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo,454003,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;University of Chinese Academy of Science,Beijing 100049,China;China Remote Sensing Satellite Ground Station,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China)

机构地区：[1]河南理工大学测绘与国土信息工程学院,河南焦作454003 [2]中国科学院空天信息创新研究院数字地球重点实验室,北京100094 [3]中国科学院大学,北京100049 [4]中国科学院空天信息创新研究院中国遥感卫星地面站,北京100094

出　　处：《遥感技术与应用》2023年第3期544-557,共14页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(42030111、42071329)。

摘　　要：准确获取冬小麦空间分布和收获面积信息,对产量准确估算、保障粮食安全等具有重要意义。当前,绝大多数研究及统计数据集中于冬小麦种植面积,很少关注其收获面积。以濮阳县为研究区,基于2019年成熟期Sentinel-2遥感影像和随机森林相结合的方法,进行冬小麦收获面积测算研究。首先,根据特征筛选获得最佳特征子集,然后,基于最佳特征子集的J-M距离分析冬小麦与其他地物的可分性,识别提取冬小麦收获面积和种植面积,并实现冬小麦收获面积制图。最后,进一步分析冬小麦收获面积和种植面积差异以及收获面积的影响因素。结果发现:Sentinel-2影像最佳特征子集测算冬小麦收获面积总体精度和Kappa系数分别为94.62%和0.93。2019年提取濮阳县冬小麦种植面积为79.47 khm^(2),收获面积为76.74 khm^(2),相较于种植面积,数量上减少了2.73 khm^(2)。研究结果表明:人为活动会造成收获面积少于种植面积,及时监测冬小麦收获面积可以为冬小麦产量预测等相关研究和决策提供一定的科学参考价值。The spatial distribution and winter wheat harvesting area is of great significance to accurately estimate production and ensure food security.However,the vast majority of study and statistical data is based on planting area of winter wheat,and few studies have been done on the winter wheat harvesting areas.In this study,Puy⁃ang County was selected as the study area,and the harvesting area of winter wheat was estimated by combining Sentinel-2 remote sensing imagery at the maturing period in 2019 and random forest model.Firstly,best fea⁃ture subsets were obtained through feature selection.And then,the separability between winter wheat and other land types was analyzed by the J-M distance of these best feature subsets,the harvesting area and planting area of winter wheat were identified and extracted,and the harvesting area of winter wheat was mapped.Finally,the differences in harvesting area and planting area of winter wheat and the influencing factors of harvested area were further analyzed.The results found that the overall accuracy and Kappa coefficient of winter wheat harvest⁃ed area estimated by the best feature subset of Sentinel-2 images were 94.62%and 0.93,respectively.The planting area of winter wheat in Puyang County in 2019 was 79.47 thousand hectares,and the extracted harvest⁃ing area was 76.74 thousand hectares,their difference(2.73 thousand hectares)was largely attributed to human activities,and timely monitoring of the harvesting area of winter wheat can provide a certain scientific reference value for related research and decision-making such as winter wheat yield prediction.

关 键 词：Sentinel-2影像 成熟期 冬小麦 收获面积 最佳特征子集 

分 类 号：S512.11[农业科学—作物学] S127