Determination of Land Surface Temperature (LST) Model of Lut Desert (Iran) Based on NOAA-AVHRR and MODIS Data Ground Measurements

Research on the Lut Desert, Iran, reveals that despite challenges in accurately estimating land surface temperature (LST), valuable insights can be derived from surface features. The study utilized 12 datasets from NOAA-AVHRR and MODIS sensors alongside ground measurements to develop an LST model for the Yardang region. Key findings emphasize the necessity of precise emissivity data for monitoring surface changes, particularly in arid environments where high radiation exposure accelerates land heating. This work highlights the potential of remote sensing techniques to extract meaningful information from extreme climatic conditions.

Alavipanah S.K., Sarajian M.R., & Hamzeh M. (2010). Determination of Land Surface Temperature (LST) Model of Lut Desert (Iran) Based on NOAA-AVHRR and MODIS Data Ground Measurements. Imagin[e,G] Europe. https://doi.org/10.3233/978-1-60750-494-8-10