Fadhil Hasan Ali, Blanc Lilian, Laurent François, Messner François.
2022. Use of fractional forest cover maps for detection of forest fires in the Brazilian Amazon.
In : Proceeding of the 1st International Conference on Advanced Research in Pure and Applied Science (ICARPAS 2021)
![]() |
Version publiée
- Anglais
Accès réservé aux personnels Cirad Utilisation soumise à autorisation de l'auteur ou du Cirad. 611256.pdf Télécharger (893kB) | Demander une copie |
Résumé : The Brazilian Amazon is affected by large forest fires resulting from the combination between stronger droughts and human activities. The monitoring of forest fire distribution and its mapping on a large regional scale, especially with remote sensing remains a challenge because the impacts of forest fires are less visible than lands changing and because its spectral signature changes rapidly because of the new growth, until if damages to the forest has outcomes for the structure of forests. We propose a new approach based on the use of the fractional forest cover maps from CLASlite with Landsat data for detected forest fire impacts. The method applied in Paragominas, is a county in the agricultural frontier of the Amazon in Brazil, covering an area of 19,395 km², was impacted by a large fire during the 2015 dryness. The degradation forester by fire had detected by using 2016 Landsat images. A method has been validated with observation points and aerial photo interpretation. The results showed the Non-Photosynthetic Vegetation band increased clearly in the burned area. This variable is useful to map the extent of the burned area.
Mots-clés libres : Forest, Fires, Claslite, LANDSAT, Brazilian, Amazon, Paragominas
Agences de financement européennes : European Commission
Agences de financement hors UE : Agence Nationale de la Recherche
Programme de financement européen : H2020
Projets sur financement : (FRA) ECOefficiences et développement TERritorial en Amazonie Brésilienne, (EU) Observatory of the Dynamics of Interactions between Societies and Environment in the Amazon
Auteurs et affiliations
- Fadhil Hasan Ali, Al-Muthanna University (IRQ) - auteur correspondant
-
Blanc Lilian, CIRAD-ES-UPR Forêts et sociétés (FRA)
ORCID: 0000-0003-3605-4230
- Laurent François, Le Mans Université (FRA)
- Messner François, Le Mans Université (FRA)
Source : Cirad-Agritrop (https://agritrop.cirad.fr/611256/)
[ Page générée et mise en cache le 2025-03-01 ]