Vancutsem, C., Ceccato, P., Dinku, T. and Connor, S.J. (2010) Remote Sensing of Environment Evaluation of MODIS Land Surface Temperature Data to Estimate Air Temperature in Different Ecosystems over Africa. Remote Sensing of Environment, 114, 449-465.
https://doi.org/10.1016/j.rse.2009.10.002

has been cited by the following article:

• TITLE: Determination of the Correlation between the Air Temperature Measured in Situ and Remotely Sensed Data from MODIS and SEVIRI in Congo-Brazzaville

  AUTHORS: Maixent Olivier C. Kambi, Zhenhui Wang, Georges Gulemvuga

  KEYWORDS: Air Temperature, Land Surface Temperature, MODIS, MSG, Tropical Climate, Central Africa

  JOURNAL NAME: Atmospheric and Climate Sciences, Vol.8 No.2, April 16, 2018

  ABSTRACT: 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.