Evaluation of temporal compositing algorithms for annual land cover classification using Landsat time series data  

作　　者：Xichen Meng Shuai Xie Lin Sun Liangyun Liu Yilong Han 

机构地区：[1]College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao,People’s Republic of China [2]bKey Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,People’s Republic of China

出　　处：《International Journal of Digital Earth》2023年第1期2574-2598,共25页国际数字地球学报（英文）

基　　金：supported by the National Natural Science Foundation of China[grant number 42271412].

摘　　要：In this paper, four widely used temporal compositing algorithms, i.e.median, maximum NDVI, medoid, and weighted scoring-basedalgorithms, were evaluated for annual land cover classification usingmonthly Landsat time series data. Four study areas located in California,Texas, Kansas, and Minnesota, USA were selected for image compositingand land cover classification. Results indicated that images compositedusing weighted scoring-based algorithms have the best spatial fidelitycompared to other three algorithms. In addition, the weighted scoringbasedalgorithms have superior classification accuracy, followed bymedian, maximum NDVI, and medoid in descending order. However, themedian algorithm has a significant advantage in computational efficiencywhich was ~70 times that of weighted scoring-based algorithms, andwith overall classification accuracy just slightly lower (~0.13% onaverage) than weighted scoring-based algorithms. Therefore, werecommended the weighted scoring-based compositing algorithms forsmall area land cover mapping, and median compositing algorithm forthe land cover mapping of large area considering the balance betweencomputational complexity and classification accuracy. The findings of thisstudy provide insights into the performance difference between variouscompositing algorithms, and have potential uses for the selection ofpixel-based image compositing technique adopted for land covermapping based on Landsat time series data.

关 键 词：Temporal compositing spatial fidelity time series land cover classification LANDSAT 

分 类 号：F301.2[经济管理—产业经济]