2007 · 26 citations · 25 references
Natural ResourcesEarth SciencesGeographyGeographic Information SystemsLandscape Change DetectionRemote SensingChange DetectionLand Cover Change DetectionLand Use Change DetectionRemote Sensing Change DetectionRemote Sensing Image AnalysisVegetation Change DetectionChange Detection From Time SeriesFiresForest Cover Change MappingForest Fire DetectionForest Fire MonitoringLand Cover Change MonitoringLand-cover ChangeSatellite-based Fire Monitoring
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 decribe an algoritm for burnedare mapin 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.
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C. O. Justice, Louis Giglio, S. Korontzi et al. · Remote Sensing of Environment · 2002 · 1.3K citations
Movement‐related changes in synchronization in the human basal ganglia
Michael Cassidy, Paolo Mazzone, Antonio Oliviero et al. · Brain · 2002 · 561 citations · Full text