Water content is one of the most critical characteristics in plant physiological development. Therefore, this information is a crucial factor in determining the water stress conditions of vegetation, which is essential for assessing the wildfire risk and land management decision-making. Remote sensing can be vital for obtaining information over large, limited access areas with global coverage. This is important...
Fire is a worldwide and complex phenomenon with a critical role in water and carbon cycles. Furthermore, Portugal will be warmer and drier than nowadays under future scenario projections linked to climate changes. In such a context, to cover large areas with temporal regularity, remote sensing can be helpful for a better understanding of surface vegetation representation. Therefore, it is essential to understan...
A mega fire is a transversal problem to several fields, with impacts from the Earth’s atmosphere to human health and safety, quality of life and economic growth in affected areas. The study summarizes some recent studies developed at University of Évora, Portugal, covering the following areas: surface, atmosphere, and society. At surface, the study has been essential to understand the vegetation dynamic and fir...
Portugal will be warmer and drier under future scenario projections linked to climate change, favouring more extreme wildfire events. As we know, fire has a worldwide scale with a critical role in water and carbon cycles. For this reason, it is essential to know and understand the vegetation dynamic and its role in the Earth system. Remote sensing can be helpful for better comprehension, once it is able to cove...
Changes in the large fire seasons induced by climate variability may have implications in several sectors of modern society. This communication aims to investigate possible changes in the behaviour of active fires during the wintertime and document an event that occurred in the transboundary mountainous region in the north-western Iberian Peninsula between Portugal and Spain on 28 January 2022. The VIIRS active...
As épocas de incêndio têm ocorrido cada vez com mais frequência, intensificadas pelas mudanças climáticas ao redor do mundo, como é exemplo no Brasil, Estados Unidos, Canadá, Rússia e Portugal. Nos últimos anos, Portugal vivenciou numerosas e severas épocas de incêndio, com incêndios florestais de grandes dimensões que geraram impactos catastróficos, inclusive com fatalidades. Este trabalho tem como objetivo in...
More intense fire seasons have been favored by climate changes around the world, like Russia, Brazil, the USA, Canada and Portugal. In the last years, Portugal experienced numerous severe fire seasons with catastrophic wildfires that caused enormous impacts. This study aimed to investigate the fire risk evolution in Portugal over the last 40 years and the potential of Sentinel missions to monitor wildfires. Fir...
More intense fire seasons have been favoured by climate changes worldwide, like Russia, Brazil, the USA, Canada and Portugal. Portugal experienced numerous severe fire seasons with catastrophic wildfires that caused enormous impacts in the last years. This study aimed to investigate the fire risk evolution in Portugal over the last 40 years and the extreme wildfire emission impacts derived from remote sensing d...
Fire is a worldwide and complex phenomenon with a critical role in water and carbon cycles. Furthermore, future scenario projections denote that Portugal will be warmer and drier than nowadays due to climate changes. Therefore, it is essential to understand the vegetation dynamic and fire susceptibility. In such a context, remote sensing allows extensive area coverage and temporal regularity and can be helpful ...
The study aims to know the current state of the fire weather risk and its tendency for the future based on climate projections over four areas in the western Iberian Peninsula. In order to reach this goal, the Fire Weather Index (FWI) has been considered with a temporal coverage from 1979 to the present derived from the ERA5 reanalysis dataset. Regarding future FWI projections, the dataset was derived from regi...