Estimating minimum and maximum air temperature using MODIS data over Indo-Gangetic Plain

Journal of Earth system science

D B Shah1³  A R Jani1³  H J Trivedi3¹  M R Pandya2² 

[1] N V Patel College of Pure and Applied Sciences, Vallabh Vidyanagar 388 120, India.$$;Space Applications Centre, Indian Space Research Organization, Ahmedabad 380 015, India.$$;Department of Physics, Sardar Patel University, Vallabh Vidyanagar 388 120, India.$$

关键词: Air temperature;    land surface temperature;    normalized difference vegetation index;    MODIS.;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

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 (𝑇min) and maximum air temperature (𝑇max) over the Indo-Gangetic Plain using Moderate Resolution Imaging Spectroradiometer (MODIS) data and India Meteorological Department (IMD) ground station data. 𝑇min was estimated by establishing an empirical relationship between IMD 𝑇min and night-time MODIS Land Surface Temperature (𝑇s). While, 𝑇max was estimated using the Temperature-Vegetation Index (TVX) approach. The TVX approach is based on the linear relationship between 𝑇s and Normalized Difference Vegetation Index (NDVI) data where 𝑇max is estimated by extrapolating the NDVI-𝑇s 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 𝑇max 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 𝑇max estimation showed that calibrated NDVImax performed well, with the MAE of 1.79°C and RMSE of 2.16°C.

【 授权许可】

Unknown