On Production of Continuous Spatio-temporal Fields
نویسنده
چکیده
In this paper, I am raising the issue of missing data treatment in producing continuous spatio-temporal fields of biogeophysical variables from AVHRR and MODIS or MODIS-like sensor data. Climate and numerical forecast models that use surface variables require that input fields be continuous in time and space (e.g. Gutman, 1990). However, quite often the datasets produced for use in the models have missing data because of instrument-induced data gaps or because of severe atmospheric contamination in the radiances, which render data hardly applicable in further geophysical applications. In this brief note, I attempt to draw attention to the issues that are, to my knowledge, not discussed in the remote sensing users community. Note that the commonly used procedures continue to be used in delivering satellite products that are certainly useful in many applications but often have little or no quality control at the users end.
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