A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E

Lucas A. Jones, John S. Kimball, Erika Podest, Kyle C. McDonald, Steven K. Chan, Eni G. Njoku

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We developed an algorithm to estimate surface soil moisture, vegetation optical depth and fractional open water cover using satellite microwave radiometry. Soil moisture results compare favorably with a simple antecedent site precipitation index, and respond rapidly to precipitation events indicated by TRMM. High optical depth reduces soil moisture sensitivity in forests and croplands during peak biomass, although tundra locations maintain soil moisture sensitivity despite high optical depth. Optical depth varies with characteristic seasonality across vegetation cover types and tracks measures of vegetation canopy cover from MODIS. The algorithm developed in this study is able to monitor the daily variability of several important land surface state variables.

Original languageEnglish
Title of host publication2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
PagesIII916-III919
DOIs
StatePublished - 2009
Event2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa
Duration: Jul 12 2009Jul 17 2009

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume3

Conference

Conference2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Country/TerritorySouth Africa
CityCape Town
Period07/12/0907/17/09

Keywords

  • AMSR-E
  • Microwave radiometry
  • Soil moisture
  • Vegetation
  • Water resources

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