Volume XLII-2/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W1, 3-11, 2016
https://doi.org/10.5194/isprs-archives-XLII-2-W1-3-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W1, 3-11, 2016
https://doi.org/10.5194/isprs-archives-XLII-2-W1-3-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  26 Oct 2016

26 Oct 2016

CONTRIBUTION OF MODIS SATELLITE IMAGE TO ESTIMATE THE DAILY AIR TEMPERATURE IN THE CASABLANCA CITY, MOROCCO

Hicham Bahi, Hassan Rhinane, and Ahmed Bensalmia Hicham Bahi et al.
  • Faculty of Sciences Ain Chock, University Hassan II, Casablanca, Morocco

Keywords: Air temperature, land surface temperature, LST, MODIS, Casablanca, remote sensing, urban climate

Abstract. Air temperature is considered to be an essential variable for the study and analysis of meteorological regimes and chronics. However, the implementation of a daily monitoring of this variable is very difficult to achieve. It requires sufficient of measurements stations density, meteorological parks and favourable logistics. The present work aims to establish relationship between day and night land surface temperatures from MODIS data and the daily measurements of air temperature acquired between [2011-20112] and provided by the Department of National Meteorology [DMN] of Casablanca, Morocco. The results of the statistical analysis show significant interdependence during night observations with correlation coefficient of R2=0.921 and Root Mean Square Error RMSE=1.503 for Tmin while the physical magnitude estimated from daytime MODIS observation shows a relatively coarse error with R2=0.775 and RMSE=2.037 for Tmax. A method based on Gaussian process regression was applied to compute the spatial distribution of air temperature from MODIS throughout the city of Casablanca.