Unsupervised post-fire assessment of burned areas with free and open multispectral data using OBIA

Luca Cicala 1 Cesario Vincenzo Angelino 1 Sara Parrilli 1 Nicomino Fiscante 2 Silvia Liberata Ullo 2 Pia Addabbo 3
1 Italian Aerospace Research Center (CIRA)
2 University of Sannio [Benevento]
3 Giustino Fortunato University
Abstract : "This paper presents a new usupervised workflow to assess the extension of the burning damages due to wild fire events. The workflow make use of open access medium and high resolution multispectral images from the Landsat-8 and Sentinel-2 satellites, together with open access low resolution products provided by the MODIS and the VIIRS missions.In particular, the proposed workflow considers strong variations in the Normalized Difference Vegetation Index (NDVI) between two observation dates in order to detect burning damages. The changes in NDVI not related to the wildfire effects are filtered thanks to the MODIS and VIIRS hotspot detections occurred during the same observation period. To this aim, an Object-Based Image Analysis (OBIA) approach is employed. In fact, the proposed false positive filtering method is based on object features such as {\it 'overlaps with'} and {\it 'distance to'} detected hotspots. Experimental results on the Vesuvius, Southern Italy, wildfires of July 2017, show the effectiveness of the proposed method."
Keywords : Segmentation Post Sentinel Etude d'impact sur l'environnement Landsat 8 Fire analysis Burned area OBIA Classification
Document type :
Conference papers
Complete list of metadatas
http://hal.univ-reunion.fr/hal-01957184
Contributor : Réunion Univ <>
Submitted on : Monday, December 17, 2018 - 10:47:58 AM
Last modification on : Tuesday, April 16, 2019 - 12:42:29 PM

Identifiers

  • HAL Id : hal-01957184, version 1

Collections

UNIV-REUNION | GEOBIA2018

Citation

Luca Cicala, Cesario Vincenzo Angelino, Sara Parrilli, Nicomino Fiscante, Silvia Liberata Ullo, et al.. Unsupervised post-fire assessment of burned areas with free and open multispectral data using OBIA. GEOBIA 2018 - From pixels to ecosystems and global sustainability ​, Centre d'Etudes Spatiales de la BIOsphère (CESBIO); Office national d'études et de recherches aérospatiales (ONERA); Espace pour le développement (ESPACE DEV); Société T.E.T.I.S, Jun 2018, Montpellier, France. ⟨hal-01957184⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

93

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD