Determination of the Correlation between the Air Temperature Measured <i>in Situ</i>and Remotely Sensed Data from MODIS and SEVIRI in Congo-Brazzaville
Determination of the Correlation between the Air Temperature Measured <i>in Situ</i>and Remotely Sensed Data from MODIS and SEVIRI in Congo-Brazzaville作者机构：Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters CMA Key Laboratory for Aerosol-Cloud-Precipitation Nanjing University of Information Science & Technology Nanjing China School of Atmospheric Physics Nanjing University of Information Science & Technology Nanjing China Water Resources Management International Commission of Congo-Ubangi-Sangha Basin D. R. of Congo
出 版 物：《Atmospheric and Climate Sciences》 (大气和气候科学（英文）)
年 卷 期：2018年第8卷第2期
页 面：192-211页
学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学]
主 题：Air Temperature Land Surface Temperature MODIS MSG Tropical Climate Central Africa
摘 要：This study compared data from the MODerate-resolution Imaging Spectroradiometer (MODIS) onboard NASA’s Terra satellite and the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on EUMETSAT’s Meterosat Second Generation (MSG) satellite with in situ data obtained from ground observation stations in Congo-Brazzaville. Remote sensing instruments can be used to estimate air temperature, which has an important role in monitoring the effects of climate change. Congo-Brazzaville is located in equatorial forest, which is difficult to access, and has a limited number of ground meteorological stations measuring air temperature. This study used MODIS and MSG data for the period 2009-2014 to assess the performance of land surface temperature data from satellites against in situ data from ground-based stations in Congo-Brazzaville using a linear regression model. This work has allowed us to determine which satellite is best adapted for use in Central Africa.
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