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STARFM 算法生成湿地类型 TM 反射率数据的应用评价

赵艳丽 李大成 贾明 崔鹏燕

计算机应用与软件2016,Vol.33Issue(3):267-270,283,5.
计算机应用与软件2016,Vol.33Issue(3):267-270,283,5.DOI:10.3969/j.issn.1000-386x.2016.03.063

STARFM 算法生成湿地类型 TM 反射率数据的应用评价

APPLICATION EVALUATION OF STARFM ALGORITHM IN GENERATING WETLAND-TYPE TM REFLECTANCE DATA

赵艳丽 1李大成 1贾明 1崔鹏燕1

作者信息

  • 1. 太原理工大学测绘科学与技术系 山西 太原 030024
  • 折叠

摘要

Abstract

Multispectral remote sensing data with both high temporal and high spatial resolutions can hardly be obtained directly under current data acquisition conditions.We proposed to us STARFM (spatial and temporal adaptive reflectance fusion model)to synthesise the high time series data with high spatial resolution.Nevertheless,the applicability of this model for the geographic areas in China and its prediction precision validation have not yet been substantially done.Accordingly,the Hulun Wetland Nature Reserve in Inner Mongolia is selected as the study area,and with the help of Landsat-5 TM data and high time series MODIS reflectance products,we used STARFM algorithm to generate the TMdata with high time series feature,and then made the comparative validation analysis on it with the actual TM reflectance data.Result showed that the STARFM algorithm has a higher prediction capability on the phase features of different terrain categories in wetland area varying along with time phases under the condition of preserving certain prediction accuracy in space,it is particularly suitable for the spatiotemporal fitting or data prediction research in those wetland areas where the reflection characteristics change little along with the time phases.

关键词

呼伦湖湿地/STARFM/高时空分辨率/Landsat-5 TM

Key words

Hulun wetland/STARFM/High spatiotemporal resolution/Landsat-5 TM

分类

信息技术与安全科学

引用本文复制引用

赵艳丽,李大成,贾明,崔鹏燕..STARFM 算法生成湿地类型 TM 反射率数据的应用评价[J].计算机应用与软件,2016,33(3):267-270,283,5.

基金项目

国家高技术研究发展计划项目 ()

计算机应用与软件

OACSTPCD

1000-386X

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