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基于AMSR-E与MODIS数据的新疆土壤水分协同反演与验证

张显峰 赵杰鹏 包慧漪 Li Jonathan

土壤学报2012,Vol.49Issue(2):205-211,7.
土壤学报2012,Vol.49Issue(2):205-211,7.

基于AMSR-E与MODIS数据的新疆土壤水分协同反演与验证

CO-INVERSION AND VALIDATION OF LARGE-AREA SOIL MOISTURE BASED ON MODIS AND AMSR-E DATA

张显峰 1赵杰鹏 1包慧漪 1Li Jonathan2

作者信息

  • 1. 北京大学遥感与地理信息系统研究所,北京100871
  • 2. University of Waterloo, Department of Geography and Environmental Management, Waterloo, Ontario, N2L 3G1, Canada
  • 折叠

摘要

Abstract

In view of the fact that the current soil moisture retrieval from remotely sensed data is low in accuracy, a new integrated approach termed "Co-inversion of land surface soil moisture by integrating optical, thermal infrared and passive microwave remote sensing data" was proposed. Specifically, the MODIS optical and thermal infrared bands are used to derive soil moisture benchmark, and the AMSR-E 10. 7 GHz channel data to estimate daily variation of land surface soil moisture. Then the two are integrated, building up a co-inversion model for soil moisture retrieval over a large area. Xinjiang was cited as experiment zone. A total of 365 in-situ measured soil moisture values were collected from a typical area and used to test the proposed inversion model. Verification analysis with the ground truthing data of the study area shows that the co-inversion of optical/thermal and microwave remotely sensed data displays higher correlation coefficient and smaller root mean square errors ( RMSE) than any inversion using one single data source.

关键词

协同反演/土壤水分/AMSR-E/MODIS/新疆

Key words

Co-inversion/ MODIS/ AMSR-E/ Soil moisture/ Xinjiang

分类

农业科技

引用本文复制引用

张显峰,赵杰鹏,包慧漪,Li Jonathan..基于AMSR-E与MODIS数据的新疆土壤水分协同反演与验证[J].土壤学报,2012,49(2):205-211,7.

基金项目

国家863计划项目(No.2008AA12Z112)、国家自然科学基金项目(No.41071257)共同资助 (No.2008AA12Z112)

土壤学报

OA北大核心CSCDCSTPCD

0564-3929

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