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Land-surface-type classification using microwave brightness temperatures from the Special Sensor Microwave/Imager

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3 Author(s)
Neale, C.M.U. ; Dept. of Agric. & Irrigation Eng., Utah State Univ., Logan, UT, USA ; Mcfarland, M.J. ; Kai Chang

The use of empirical parameter retrieval algorithms over land requires the prior classification of surface types according to their microwave emission properties. A land-surface-type classification scheme was developed to be used with the Special Sensor Microwave/Imager (SSM/I) algorithm package. The classification rules were based on statistical analysis of SSM/I brightness temperature combinations from several surfaces, including dense vegetation, rangeland and agricultural soils, deserts, snow, precipitation, surface moisture, etc. A set of independent classification rules was derived which should result in increased confidence of parameter retrievals

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:28 ,  Issue: 5 )