Paper Info
Title
Global Rainfall Interception Loss Derived From Multi-Source Satellite Earth Observations
Abstract
Global rainfall interception loss information is essential to understand the dynamics of the water cycle. And it remains large uncertainty in its global variation, since its ground observation are scattered. The development of satellite earth observation provides good opportunity for global rainfall interception loss estimation to reveal its spatiotemporal variation. In current study, an analytical model, Gash model, was revised and applied for global rainfall interception estimation based mainly on satellite based remote sensing products, e.g. precipitation, leaf area index, canopy height. The ratio of interception loss to precipitation showed good agreement with in situ observations, with correlation factor and RMSE of 0.65 and 6.17%. Large spatial variation of rainfall interception loss were found with high value in tropical rainfall forest region and high latitude forest regions. However, the temporal variation was much less.
Year
DOI
Venue
2016
10.1109/IGARSS.2016.7729913
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Keywords
Field
DocType
rainfall interception, Gash model, remote sensing, spatiotemporal variation
Leaf area index,Interception,Satellite,Computer science,Remote sensing,Atmospheric sciences,Earth observation,Spatial variability,Latitude,Water cycle,Precipitation
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Chaolei Zheng112.06
Li Jia23416.38