Research Papers

Post-processing analysis of MODIS leaf area index subsets

[+] Author Affiliations
Judith Horn, Karsten Schulz

Ludwig-Maximilians-Universita¨t Mu¨nchen, Department of Geography, Luisenstrasse 37, Munich, 80333 Germany

J. Appl. Remote Sens. 4(1), 043557 (November 15, 2010). doi:10.1117/1.3524265
History: Received March 17, 2010; Revised September 12, 2010; Accepted November 3, 2010; November 15, 2010; Online November 15, 2010
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Abstract

The global network FLUXNET supplies environmental scientists with valuable data on ecosystem exchange processes along with meteorological measurements. Ecosystem characteristics at these sites can be efficiently complemented by remote sensing data from the MODIS sensors on-board the NASA satellites Terra and Aqua. The ORNL DAAC makes resampled MODIS key products as so called 'Land Product Subsets' available. These subsets comprise selected MODIS products in a 7x7 km grid centered on FLUXNET sites. One of these products is the leaf area index (LAI). Despite the frequent application of MODIS LAI data in ecosystem models, there is still no consensus on its usage and the employment of the additionally provided quality criteria (QC). In this study, we analyze the effects of various QC filters, spatial aggregations and sensor choices on magnitude and temporal dynamics of LAI data at six FLUXNET sites. Additionally, we assess the sensitivity of a simple soil-vegetation-atmosphere-transfer (SVAT) model on differently post-processed LAI times series. It is found that it is advantageous to combine the products of both sensors. The consideration of quality assessments is essential, but the QC application is not straightforward for forest sites and the QC choice can have significant effects on the resulting LAI time series with considerable consequences on the outcome of subsequently applied SVAT models.

© 2010 Society of Photo-Optical Instrumentation Engineers

Topics

MODIS

Citation

Judith Horn and Karsten Schulz
"Post-processing analysis of MODIS leaf area index subsets", J. Appl. Remote Sens. 4(1), 043557 (November 15, 2010). ; http://dx.doi.org/10.1117/1.3524265


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