Paper Info
Title
A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E
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.
Year
DOI
Venue
2009
10.1109/IGARSS.2009.5417921
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Keywords
Field
DocType
atmospheric precipitation,hydrology,radiometry,vegetation mapping,water resources,Advanced Microwave Scanning Radiometer for EOS,Moderate Resolution Imaging Spectroradiometer,Tropical Rainfall Measuring Mission,land surface moisture,open water fraction,peak biomass,precipitation index,satellite microwave radiometry,surface soil moisture,tundra locations,vegetation canopy,vegetation cover,vegetation optical depth,water resources,AMSR-E,microwave radiometry,soil moisture,vegetation,water resources
Tundra,Soil science,Optical depth,Moisture,Vegetation,Computer science,Remote sensing,Radiometry,Water content,Enhanced vegetation index,Precipitation
Conference
Volume
ISSN
ISBN
3
2153-6996
978-1-4244-3395-7
Citations 
PageRank 
References 
1
0.36
1
Authors
6
Name
Order
Citations
PageRank
Lucas A. Jones1416.19
John S. Kimball249050.16
Podest, E.310.36
Kyle McDonald4365.09
Steven Chan5165.46
Eni G. Njoku652267.07