Paper Info
Title
Soil Moisture and Vegetation Water Content Retrieval Using QuikSCAT Data.
Abstract
Climate change and hydrological cycles can critically impact future water resources. Uncertainties in current climate models result in disagreement on the amount of water resources. Soil moisture and vegetation water content are key environmental variables on evaporation and transpiration at the land-atmosphere boundary. Radar remote sensing helps to improve our estimate of water resources spatially and temporally. This work proposes a backscattered power formulation for the Ku-band. Li et al. (2010) retrieved soil moisture and vegetation water content values using Windsat data and simultaneous collocated QuikSCAT backscattered power are used to estimate different parameters of backscatter formulation. These parameters are used to estimate soil moisture and vegetation water content using QuikSCAT power everywhere and every day during the summer season. The 2-folded cross validation method is used to evaluate the performance of soil moisture and vegetation water content retrieval. A relatively large correlation is observed between vegetation water content using WindSat and QuikSCAT data in land classes of Evergreen Needleleaf, Evergreen Broadleaf, Deciduous Broadleaf, and Mixed Forests. Similarly, the retrieved soil moisture using QuikSCAT in areas with bare surface fraction of greater than 60% shows relatively high correlation with WindSat values. QuikSCAT satellite collects data over land globally almost every day. Therefore, QuikSCAT data can be used to generate a global map of soil moisture and vegetation water content daily from 2000 to 2009.
Year
DOI
Venue
2018
10.3390/rs10040636
REMOTE SENSING
Keywords
Field
DocType
QuikSCAT,vegetation water content,soil moisture
Climate model,Climate change,WINDSAT,Evergreen,Deciduous,Remote sensing,Atmospheric sciences,Water content,Geology,Transpiration,Water resources
Journal
Volume
Issue
ISSN
10
4
2072-4292
Citations 
PageRank 
References 
0
0.34
12
Authors
5
Name
Order
Citations
PageRank
Shadi Oveisgharan1202.90
Ziad S. Haddad2209.43
F. Joseph Turk3428.74
Ernesto Rodriguez4419.45
Li Li5728.73