Paper Info
Title
Biomass assessment in african forest-savanna using ALOS PALSAR data
Abstract
The purpose of this work is to assess biomass in forest savanna and to analyse changes in biomass from 2007 to 2010 in Cameroon, by using ALOS PALSAR data. The methodology includes an inter-calibration step, and multi-image filtering for noise reduction and preservation of the resolution. An existing direct model previously developed by CESBIO over various forests, linking γhvo to biomass, is inversed using a probabilistic bayesian approach. There is a mean of 52 t.ha-1 of biomass in 12 553 km2 which represents 32.63 Mt of carbon not taken into account in existing carbon budget assessments. Besides, forest savanna transition and changes in AGB from 2007 to 2010 are analysed. Changes are mainly due to shifting cultivation, grazing fires, degradation and deforestation.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6352723
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
Bayes methods,atmospheric composition,calibration,carbon,geophysical image processing,image denoising,vegetation mapping,ALOS PALSAR data,African forest-savanna,CESBIO,Cameroon,biomass assessment,carbon budget assessments,deforestation,forest savanna transition,grazing fires,intercalibration step,multiimage filtering,noise reduction,probabilistic bayesian approach,shifting cultivation,Savanna forest,biomass retrieval,multitemporal analysis
Biomass,Shifting cultivation,Computer science,Remote sensing,Image denoising,Deforestation,Atmospheric composition,Grazing
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4673-1158-8
978-1-4673-1158-8
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Stephane Mermoz1174.95
Le Toan, T.223395.19
Ludovic Villard310219.00
Yannick Lasne452.13