Monitoring soil moisture change in North Africa with using satellite remote sensing and land data assimilaiton system

In this study, we generated and compared two sets of soil moisture data in the North Africa region, by using the land data assimilation system developed at the University of Tokyo (LDAS-UT) which is driven by the NECP reanalysis data and UKMO forcing data, separately. GPCP precipitation data was use...

Full description

Saved in:
Bibliographic Details
Published in2009 IEEE International Geoscience and Remote Sensing Symposium Vol. 2; pp. II-972 - II-975
Main Authors Hui Lu, Koike, T., Fujii, H., Ohta, T., Tamagawa, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Africa
AMSR-E
Data assimilation
Meteorology
Moisture measurement
Remote monitoring
Remote sensing
Satellite broadcasting
Soil measurements
Soil moisture
Surface soil
Online AccessGet full text

Cover

More Information
Summary:In this study, we generated and compared two sets of soil moisture data in the North Africa region, by using the land data assimilation system developed at the University of Tokyo (LDAS-UT) which is driven by the NECP reanalysis data and UKMO forcing data, separately. GPCP precipitation data was used as reference data for the indirect validation, after its accuracy was confirmed by comparing it with the in-situ observation in the Medjerdah Basin. The soil moisture generated by LDAS-UT with NECP forcing is in a good relationship to the GPCP rainfall data, while that generated by LDAS-UT with UKMO forcing is mismatching with the GPCP precipitation patterns.
ISBN:1424433940
9781424433940
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2009.5418263