Burnt Scar Mapping
A burnt scar mapping service was also introduced in TELEIOS, dedicated to the accurate mapping of burnt areas in Greece after the end of the summer fire seasons, using Landsat 5 TM satellite images.
The processing chain of this service is divided into three stages, each one containing a series of modules. The pre-processing stage is dedicated to (i) identification of appropriate data, downloading and archiving, (ii) georeferencing of the received satellite images, and (iii) cloud masking process to exclude pixels “contaminated” by clouds from the subsequent processing steps. The core processing stage comprises (i) a classification algorithm which identifies burnt and non-burnt sets of pixels, (ii) a noise removal process that is necessary to eliminate isolated pixels that have been classified wrongfully as burnt, and (ii) converting the raster intermediate product to vector format. Finally, the post-processing stage consists of (i) a visual refinement step to ensure product thematic accuracy and consistency, (ii) attribute enrichment of the BSM product by overlaying the polygons with geoinformation layers and finally (iii) generation of thematic maps. In the context of TELEIOS, the classification algorithm and parts of the noise removal module were automated using Scientific Python and were then translated into SciQL queries.
In the framework of the SAFER EC/GMES project, the BSM methodology developed by NOA has been validated by independent evaluators for the needs of the European Commission in a geographic context that excluded Greece. The NOA BSM service was qualified –top of its class– as an end-to-end service for fire related Emergency Support activities for integration to operational scenarios all over Europe. JRC performed the scientific validation of the NOA BSM product using ground truth fire perimeters and concluded to high producer’s and user’s accuracies (above 85%) and low commission and omission errors (below 15%).
See the deliverables of WP7 for more details.