Title: Monitoring crop growth inter-annual variability from MODIS time series : performance comparison between crop specific green area index and current global leaf area index products
Citation: Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the p. 21-24
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publication Year: 2011
JRC N°: JRC65429
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6005037&isnumber=6005026
DOI: 10.1109/Multi-Temp.2011.6005037
Type: Articles in periodicals and books
Abstract: Optical remote sensing time series can be used to retrieve biophysical variables indicating crop status, such as leaf area index (LAI) or, more appropriately, green are index (GAI). If these variables are sensible to inter-annual seasonal variations, they can be of great value for crop growth monitoring, especially if they can be coupled with ecophysiological models using data assimilation. This study presents a multi-annual comparison between currently available global LAI products and crop specific GAI retrieved from MODIS 250~m imagery obtained by controlling pixel-target adequacy. This comparison is done over a region in Belgium with fragmented agricultural landscapes. Results indicate that, by assuring a crop specific information and smoothing information using thermal time, the GAI product has a higher sensitivity to the variability of growing conditions that may be encountered across the region, and thus out-performs the other LAI products.
JRC Directorate:Sustainable Resources

Files in This Item:
There are no files associated with this item.

Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.