DocumentCode :
143416
Title :
Estimation of leaf area index (LAI) of South Africa from MODIS imager by inversion of PROSAIL radiative transfer model
Author :
Cho, Moses Azong ; Ramoelo, Abel ; Math, Renaud
Author_Institution :
Earth Obs., Natural Resources & Environ., Council for Sci. & Ind. Res. (CSIR), Pretoria, South Africa
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
2590
Lastpage :
2593
Abstract :
Over-grazing, bush encroachment and alien species invasion are having negative impacts on livestock production in the rangelands of Sub-Saharan Africa, thus threatening rural livelihoods in the region. Leaf area index (LAI) can be used as an indicator or an early warning signal of changes in rangeland conditions. The aims of this study were to (i) assess the accuracy of the existing MODIS LAI product for key land cover classes and biomes in South Africa and (ii) assess the accuracy of LAI retrieved by the inversion of PROSAIL radiative transfer model. The MODIS LAI estimates were particularly poor for grassland and Karoo biomes for the period under investigation (November 2012 to February 2013). More accurate estimates of LAI values (RMSE = 0.9) across three major biomes were generated by inverting model outputs from PROSAIL radiative transfer model on MODIS imagery.
Keywords :
land cover; remote sensing; vegetation; AD 2012 11 to 2013 02; Karoo biomes; MODIS LAI estimates; MODIS LAI product; MODIS imagery; PROSAIL radiative transfer model; South Africa; Sub-Saharan Africa; alien species invasion; bush encroachment; land cover classes; leaf area index estimation; livestock production; Accuracy; Biological system modeling; Data models; Indexes; MODIS; Remote sensing; Vegetation mapping; Leaf area index (LAI); MODIS imagery; PROSAIL; Radiative Transfer Models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947003
Filename :
6947003
Link To Document :
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