Carlos Viegas Damásio
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View article: LAND IT: A Decision Support System for Optimising Land Use Planning Strategies
LAND IT: A Decision Support System for Optimising Land Use Planning Strategies Open
Over the past two decades, Portugal has been severely affected by large-scale forest fires. In response, the Portuguese government launched a programme aimed at transforming the landscape to make it more resilient to wildfires and economic…
View article: Extreme Fire Severity Classification using Clustering and Decision Tree
Extreme Fire Severity Classification using Clustering and Decision Tree Open
With climate change, large, unpredictable and difficult to suppress forest fires are increasingly frequent. To increase the ability to anticipate and respond to these extreme events it is necessary to characterize the meteorological condit…
View article: Creating a forest disturbance dataset for continental Portugal
Creating a forest disturbance dataset for continental Portugal Open
Quality data is of the utmost importance to effectively evaluate any classification technique. In the realm of remote sensing, more precisely forest disturbance, different studies use different custom datasets. This short paper shows the m…
View article: Data fusion approach for eucalyptus trees identification
Data fusion approach for eucalyptus trees identification Open
UIDB/00066/2020 DSAIPA/AI/0100/2018
View article: Assessment of Interventions in Fuel Management Zones Using Remote Sensing
Assessment of Interventions in Fuel Management Zones Using Remote Sensing Open
Every year, wildfires strike the Portuguese territory and are a concern for public entities and the population. To prevent a wildfire progression and minimize its impact, Fuel Management Zones (FMZs) have been stipulated, by law, around bu…
View article: Deteção de estruturas permanentes a partir de dados de séries temporais Sentinel 1 e 2
Deteção de estruturas permanentes a partir de dados de séries temporais Sentinel 1 e 2 Open
Mapping structures such as settlements, roads, individual houses and any other types of artificial structures is of great importance for the analysis of urban growth, masking, image alignment and, especially in the studied use case, the de…
View article: Feature selection for burned area classification in the Castelo de Paiva region
Feature selection for burned area classification in the Castelo de Paiva region Open
Burned area mapping is a fundamental activity for the study of wildfires, but good quality data requires long in situ campaigns performed by specialized personnel.The use of machine learning algorithms and the availability of high-quality …