Estimation of land surface temperature from atmospherically corrected LANDSAT TM image using 6S and NCEP global reanalysis product

@article{Srivastava2014EstimationOL,
  title={Estimation of land surface temperature from atmospherically corrected LANDSAT TM image using 6S and NCEP global reanalysis product},
  author={Prashant K. Srivastava and Dawei Han and Miguel A. Rico-Ramirez and Michaela Bray and Tanvir Islam and Manika Gupta and Qiang Dai},
  journal={Environmental Earth Sciences},
  year={2014},
  volume={72},
  pages={5183-5196}
}
AbstractWater vapour is the most variable constituent in the atmosphere which is responsible for serious noise in the optical satellite images. This research is focused on the vertical distribution of water vapour and deducing its possible effects on the atmospheric correction process. The vertical distribution of precipitable water vapour, water vapour mixing ratio with geopotential height and pressure were estimated through the weather research and forecasting (WRF) model by downscaling the… CONTINUE READING

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