Title
Backscatter and interferometry for estimating above-ground biomass of sparse woodland: A case study in Belize
Abstract
Tropical savannas cover 20% of the Earth's land surface and are important ecosystems in the global carbon cycle due to their high productivity. This paper evaluates the use of SAR for estimating above-ground biomass of the woody vegetation in heterogeneous tropical savanna woodland in Belize, Central America. Single-pass shortwave InSAR data used are X-band (Intermap) and C-band (AIRSAR and SRTM). L- and P-band SAR backscatter data are from AIRSAR. Results show that SAR backscatter has a relatively low correlation to above ground biomass in the sparse savanna woodlands. Retrieved canopy heights from both X- and C-band InSAR give a better representation of the spatial distribution of AGB, but cannot be used to estimate biomass directly due to the heterogeneity of the canopy.
Year
DOI
Venue
2009
10.1109/IGARSS.2009.5417958
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Keywords
Field
DocType
backscatter,radar interferometry,synthetic aperture radar,vegetation mapping,AIRSAR,Belize,C-band InSAR,Central America,InSAR data,SAR backscatter data,X-band InSAR,above-ground biomass,canopy heights,global carbon cycle,interferometry,sparse woodland,spatial distribution,tropical savannas,woody vegetation,InSAR,SAR backscatter,above ground biomass,savanna woodland,tree height
Woodland,Biomass,Vegetation,Interferometric synthetic aperture radar,Tropical savanna climate,Synthetic aperture radar,Computer science,Remote sensing,Shuttle Radar Topography Mission,Canopy
Conference
Volume
ISSN
ISBN
3
2153-6996
978-1-4244-3395-7
Citations 
PageRank 
References 
0
0.34
6
Authors
5
Name
Order
Citations
PageRank
Karin Viergever100.68
Woodhouse, I.H.2102.02
Armando Marino3102.02
Matthew Brolly452.51
Neil Stuart5254.87