DocumentCode :
3625758
Title :
Cumulative Sum Charts - A Novel Technique for Processing Daily Time Series of MODIS Data for Burnt Area Mapping in Portugal
Author :
Jan Kucera;Paulo Barbosa;Peter Strobl
Author_Institution :
European Commission - DG Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi, TP 261, 21020 Ispra (VA), Italy, email: jan.kucera@jrc.it
fYear :
2007
fDate :
7/1/2007 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Portugal has experienced severe forest fires in the recent years. European Commission (EC) requires accurate burned area assessment for Portugal every year. Satellite data from Moderate Resolution Imaging Spectroradiometer (MODIS) were found to be the most appropriate for the task. In this paper we describe an algorithm for burned area mapping in Portugal. The algorithm utilizes daily time series data from both Aqua and Terra for the whole fire season from 1.5.2005 till 31.10.2005. Robust approach to detect land cover change due to the forest fire was developed. Algorithm robustness absorbs the effects of sun-target-satellite viewing geometry, presence of residual clouds, atmospheric effects and missing data. A change due the forest fire is detected and supported by the confidence measures. A validation of the final burned area maps is performed against visual interpretation of single date MODIS scene and Landsat-derived fire maps. The visual interpretation results in 278,490 ha of burned area versus 278,801 ha assessed by the algorithm for whole Portugal. Landsat-derived maps for several big burned patches reveals 61,571 ha while algorithm based measurement results in 59772 ha of the burned forest. For its high reliability, the extension of usage of the algorithm for the whole Mediterranean area of European Union is under investigation.
Keywords :
"MODIS","Fires","Satellites","Change detection algorithms","Robustness","Remote sensing","Geometry","Clouds","Atmospheric measurements","Layout"
Publisher :
ieee
Conference_Titel :
Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007. International Workshop on the
Print_ISBN :
1-4244-0845-8
Type :
conf
DOI :
10.1109/MULTITEMP.2007.4293051
Filename :
4293051
Link To Document :
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