DocumentCode
3349124
Title
Estimation of vegetation parameters from MODIS FPAR time series, Landsat TM and ETM+ products, and ICESat for soil erosion modelling
Author
Schoettker, Birte ; Scarth, Peter ; Phinn, Stuart ; Denham, Robert ; Schmidt, Michael
Author_Institution
Centre for Spatial Environ. Res. (CSER), Univ. of Queensland, Brisbane, QLD, Australia
fYear
2010
fDate
25-30 July 2010
Firstpage
2083
Lastpage
2086
Abstract
This study builds on results from our analysis of a time series of the global MODIS Fraction of Absorbed Photosynthetically Active radiation that a plant canopy absorbs, and a relationship between the product to Landsat TM and ETM+ green and non-green fractions of ground cover and vegetation structural categories in the dry tropical savannas in Queensland, Australia. In a multiple regression analysis (including interaction terms) 75% of the variability in dry season MODIS FPAR was explained by the Landsat datasets. The vegetation structural categories were determined through classes of Landsat woody foliage projective cover. Based on those findings, we developed three schemes to derive high temporal, remotely sensed cover factor estimates integrating the MODIS FPAR with the Landsat products, and ICESat canopy height estimates for potential use in future erosion modelling. Those cover factor schemes are the first of their kind, and a future study will enable their validation.
Keywords
erosion; geophysical techniques; radiometry; time series; vegetation; Australia; ETM+ products; ICESat canopy height estimates; LANDSAT TM data; Landsat datasets; MODIS FPAR time series; Queensland; multiple regression analysis; soil erosion modelling; vegetation parameters; Earth; MODIS; Mathematical model; Remote sensing; Satellites; Time series analysis; Vegetation mapping; ETM+; ICESat; Landsat TM; MODIS FPAR; cover factor; vegetation structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5652372
Filename
5652372
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