Estimation of vegetation parameters from MODIS FPAR time series, Landsat TM and ETM+ products, and ICESat for soil erosion modelling

Schoettker, Birte, Scarth, Peter, Phinn, Stuart, Denham, Robert and Schmidt, Michael (2010). Estimation of vegetation parameters from MODIS FPAR time series, Landsat TM and ETM+ products, and ICESat for soil erosion modelling. In: 2010 IEEE International Geoscience and Remote Sensing Symposium Proceedings. 2010 30th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), Honolulu, HI, United States, (2083-2086). 25-30 July 2010. doi:10.1109/IGARSS.2010.5652372


Author Schoettker, Birte
Scarth, Peter
Phinn, Stuart
Denham, Robert
Schmidt, Michael
Title of paper Estimation of vegetation parameters from MODIS FPAR time series, Landsat TM and ETM+ products, and ICESat for soil erosion modelling
Conference name 2010 30th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010)
Conference location Honolulu, HI, United States
Conference dates 25-30 July 2010
Proceedings title 2010 IEEE International Geoscience and Remote Sensing Symposium Proceedings
Journal name 2010 Ieee International Geoscience and Remote Sensing Symposium
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2010
Sub-type Fully published paper
DOI 10.1109/IGARSS.2010.5652372
ISBN 9781424495658
9781424495641
ISSN 2153-6996
2153-7003
Start page 2083
End page 2086
Total pages 4
Language eng
Abstract/Summary 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.
Keyword ETM+
ICESat
Landsat TM
MODIS FPAR
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article # 5652372

 
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Created: Wed, 21 Sep 2011, 12:53:36 EST by Stuart Phinn on behalf of School of Geography, Planning & Env Management