利用高时空融合数据监测冬小麦收割过程  

Monitoring Harvesting Process of Winter Wheat Using High Spatial-temporal Data

作　　者：陆俊[1,2] 黄进良 王立辉[1] 叶春姣[3] 裴艳艳[1,2] LU Jun;HUANG Jinliang;WANG Lihui;YE Chunjiao;PEI Yanyan(Institute of Geodesy and Geophysics,Chinese Academy of Sciences,Wuhan 430077,China;University of Chinese Academy of Sciences,Beijing 100049,China;College of Geographical Sciences,Fujian Normal University,Fuzhou 350007,China)

机构地区：[1]中国科学院测量与地球物理研究所,武汉430077 [2]中国科学院大学,北京100049 [3]福建师范大学地理科学学院,福州350007

出　　处：《遥感信息》2018年第4期22-27,共6页Remote Sensing Information

基　　金：中科院科技服务网络计划(STS计划)项目(KFJ-STS-ZDTP-009);湖北省自然科学基金(2014CFB376)

摘　　要：针对难以对农作物收割过程进行有效地遥感监测这一难题,采用时空数据融合模型重构出空间分辨率为30m,时间分辨率为1d的高时-空分辨率遥感数据对农作物收割进度进行监测。针对冬小麦收割前后NDVI变化呈现的线性特征,计算时序NDVI的曲率,通过曲率确定阈值进行收割信息提取。结果表明:采用面向对象的SVM分类方法提取研究区冬小麦种植信息,Kappa系数为0.901,面积误差为2.61%;时空数据融合模型的结果与真实影像间的相关系数为0.77(红波段)和0.78(近红外波段),能够较好地重构出冬小麦收割时期的影像;通过提取NDVI变化曲线曲率接近于0时的冬小麦NDVI值来确定阈值,实现了冬小麦收割过程信息的遥感提取。To solve the technology problem of monitor the harvesting process by remote sensing,we chose the spatial and temporal data fusion approach(STDFA)model to rebuild the remote sensing data which has 30 meter spatial and one day temporal resolution and then the reconstructed data set were used to extract the crop harvesting information.According to the linear variation of NDVI value before and after harvest of winter wheat,we calculated the curvature of time-series NDVI dataset and the threshold was determined by the curvature of NDVI value.The results show that:the Kappa index is 0.901 and the area error is 2.61%though the object based support vector machine(OB-SVM)classification method;the correlation coefficient of the result of STDFA and true reflectance in red band and near infrared band is 0.77 and 0.78,which means that the spatio-temporal fusion method can rebuild the data during the harvesting time of winter wheat;the threshold is determined by extracting the NDVI of winter wheat pixel which has a curvature value close to 0,and then the harvesting information about winter wheat is extracted by using the remote sensing technology.

关 键 词：时空融合 冬小麦 曲率 收割信息 监测 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]