Evaluating a thermal image sharpening model over a mixed agricultural landscape in India

  title={Evaluating a thermal image sharpening model over a mixed agricultural landscape in India},
  author={C. Jeganathan and N. A. S. Hamm and S. Mukherjee and Peter M. Atkinson and P. L. N. Raju and Vinay K. Dadhwal},
  journal={Int. J. Applied Earth Observation and Geoinformation},
Fine spatial resolution (e.g., <300 m) thermal data are needed regularly to characterise the temporal pattern of surface moisture status, water stress, and to forecast agriculture drought and famine. However, current optical sensors do not provide frequent thermal data at a fine spatial resolution. The TsHARP model provides a possibility to generate fine spatial resolution thermal data from coarse spatial resolution (≥1 km) data on the basis of an anticipated inverse linear relationship between… CONTINUE READING
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