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MODIS热红外温度数据反演的算法实现及其与地温数据的相关性分析

路茜 张铁宝

华南地震2017,Vol.37Issue(4):1-8,8.
华南地震2017,Vol.37Issue(4):1-8,8.DOI:10.13512/j.hndz.2017.04.001

MODIS热红外温度数据反演的算法实现及其与地温数据的相关性分析

Arithmetic Implementation of Assimilation of MODIS Thermal Infrared Temperature Data and Its Correlation Analysis with Geotemperature

路茜 1张铁宝1

作者信息

  • 1. 四川省地震局,成都610041
  • 折叠

摘要

Abstract

This paper uses the split window method realizing assimilation of MODIS thermal infrared temperature. The method is simple to calculate, and easy to achieve massive data process, which meets application requirements of earthquake monitoring and prediction according to infrared remote sensing. After calculation for different time frequency and spatial range, according to correlation analysis for time series of assimilation temperature and geotemperature in meteorological station, the results show that the correlation between the inversion temperature and the daily geothermal temperature can reach 0.7, and it's up to 0.9 of assimilation temperature and monthly mean geotemperature,this can certify availability of MODIS assimilation temperature.

关键词

MODIS/分裂窗/温度反演/地表温度/相关性

Key words

MODIS/The split window/Assimilation of temperature/Geotemperature/Correlation analysis

分类

信息技术与安全科学

引用本文复制引用

路茜,张铁宝..MODIS热红外温度数据反演的算法实现及其与地温数据的相关性分析[J].华南地震,2017,37(4):1-8,8.

基金项目

四川省地震局地震科技专项(LY1610)资助 (LY1610)

华南地震

OACSTPCD

1001-8662

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