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Global Land Cover Classification Based on Microwave Polarization and Gradient Ratio (MPGR)

  • Mukesh BooriEmail author
  • Ralph Ferraro
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

Microwave polarization and gradient ratio (MPGR) is an effective indicator for characterizing the land surface from sensors like EOS Advanced Microwave Scanning Radiometer (AMSR-E). Satellite-generated brightness temperatures (BT) are largely influenced by soil moisture and vegetation cover. The MPGR combines the microwave gradient ratio with polarization ratio to determine surface characteristics (i.e., bare soil/developed, ice, and water) and under cloud covered conditions when this information cannot be obtained using optical remote sensing data. This investigation uses the HDF Explorer, Matlab, and ArcGIS software to process the pixel latitude, longitude, and BT information from the AMSR-E imagery. This paper uses the polarization and gradient ratio from AMSR-E BT for 6.9, 10.7, 18.7, 23.8, 36.5, and 89.0 GHz to identify seventeen land cover types. A smaller MPGR indicates dense vegetation, with the MPGR increasing progressively for mixed vegetation, degraded vegetation, bare soil/developed, and ice and water. This information can help improve the characterization of land surface phenology for use in weather forecasting applications, even during cloudy and precipitation conditions which often interferes with other sensors.

Keywords

AMSR-E MODIS MPGR Microwave remote sensing GIS Climate change CHAPTER 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.National Research Council (NRC)College ParkUSA
  2. 2. NOAA/NESDIS/STAR/Satellite Climate Studies Branch and Cooperative Institute for Climate and Satellites (CICS), ESSICUniversity of MarylandCollege ParkUSA

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