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    • Keywords


      Air temperature; land surface temperature; normalized difference vegetation index; MODIS.

    • Abstract


      Spatially distributed air temperature data are required for climatological, hydrological and environmental studies. However, high spatial distribution patterns of air temperature are not available from meteorological stations due to its sparse network. The objective of this study was to estimate high spatial resolution minimum air temperature (𝑇_{min}) and maximum air temperature (𝑇_{max}) over the Indo-Gangetic Plain using Moderate Resolution Imaging Spectroradiometer (MODIS) data and India Meteorological Department (IMD) ground station data. 𝑇_{min} was estimated by establishing an empirical relationship between IMD 𝑇_{min} and night-time MODIS Land Surface Temperature (𝑇_{s}). While, 𝑇_{max} was estimated using the Temperature-Vegetation Index (TVX) approach. The TVX approach is based on the linear relationship between 𝑇_{s} and Normalized Difference Vegetation Index (NDVI) data where 𝑇_{max} is estimated by extrapolating the NDVI-𝑇_{s} regression line to maximum value of NDVImax for effective full vegetation cover. The present study also proposed a methodology to estimate NDVImax using IMD measured 𝑇_{max} for the Indo-Gangetic Plain. Comparison of MODIS estimated 𝑇min with IMD measured 𝑇min showed mean absolute error (MAE) of 1.73°C and a root mean square error (RMSE) of 2.2°C. Analysis in the study for 𝑇_{max} estimation showed that calibrated NDVImax performed well, with the MAE of 1.79°C and RMSE of 2.16°C.

    • Author Affiliations


      D B Shah1 M R Pandya2 H J Trivedi3 A R Jani1

      1. Department of Physics, Sardar Patel University, Vallabh Vidyanagar 388 120, India.
      2. Space Applications Centre, Indian Space Research Organization, Ahmedabad 380 015, India.
      3. N V Patel College of Pure and Applied Sciences, Vallabh Vidyanagar 388 120, India.
    • Dates

  • Journal of Earth System Science | News

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      Posted on July 25, 2019

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