Welcome to the SeverusPT project! This repository contains the code libraries developed for the SeverusPT project, which are used to map observed/historical burn severity in mainland Portugal through Google Earth Engine.
Specifically, this repository implements the pipeline responsible for calculating one part of the data products generated in SeverusPT, defined as "Delta approach".
The project is funded by the Portuguese Foundation for Science and Technology and led by BIOPOLIS/CIBIO/InBIO - Center of Excellence in Environmental Biology, Ecosystem Research, and Agro-biodiversity of the University of Porto, in collaboration with IPVC - Polytechnic Institute of Viana do Castelo.
Despite increasing investments in fire suppression, extreme fire events have become more frequent in Mediterranean Europe, including mainland Portugal. The SeverusPT project addresses this challenge by developing a comprehensive framework for assessing, mapping, and predicting fire severity using satellite-derived indicators of ecosystem functioning related to carbon, water, and energy balance.
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Robust framework: The project implements a spatially explicit framework that assesses, maps, and predicts fire severity, considering the effects of fires on ecosystems under a changing climate.
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Satellite data analysis: Spectral and ecosystem functioning indicators extracted through remote sensing are leveraged to assess fire severity and provide detailed characterizations on a large scale.
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Web-based services: A user-friendly web service is being developed to provide continuous and standardized fire severity products, facilitating preventive fire risk management, surveillance, and post-fire restoration efforts.
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Develop a spatially explicit framework to assess, map, and predict fire severity.
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Deliver a co-designed product/service that enhances institutional and operational capacity for fire hazard management and post-fire restoration.
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Foster collaboration with key stakeholders for long-term sustainability and continuous improvement of the product/service.
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Contribute to advancing the state-of-the-art in fire severity mapping and modeling, understanding its driving factors, and its links to fire hazard management.
Main author: João Gonçalves
Contributors:
Duarte Velho
Bruno Marcos
Ana Paula Portela