Land-Surace-Type Classifcation Using Microwave Brghtness Tempertures From the Special Sensor Microwave/Imager

Christopher M.U. Neale, Marshall J. Mcfarland, Kai Chang

Research output: Contribution to journalArticlepeer-review

84 Scopus citations

Abstract

The use of empirical parameter retrieval algorithms over land requires the prior c1assilcation of surface types according to their microwave emission properties. A land-surface-type c1assilcation scheme was developed to be used with the SSM/I algorithm package. The c1assilcation 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 c1assilcation rules was derived which should result in increased conldence of parameter retrievals.

Original languageEnglish (US)
Pages (from-to)829-838
Number of pages10
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume28
Issue number5
DOIs
StatePublished - Sep 1990
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

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