Pere Joan Gelabert Vadillo

Assistant Professor

University of Lleida

Biography

I am a Geographer and MSc in Geographic Information System (GIS) and Remote sensing (RS) and a PhD in Forest and Natural Environment Management. Now, I’m developing my research at the ADAPTAFOR research group of the University of Lleida and CTFC supported by the projects VULNIFOR and LLEGATS. I’m also involved in supporting spatial data curation and management from other lab projects.

Download my cv.

Interests

Remote Sensing
GIS
Machine Learning
Geography

Education

PhD in Forest and Natural Environment Management, 2022
University of Lleida
Msc in GIS ans RS, 2017
University of Zaragoza
Degree in Geogrpahy, 2015
University of Balearic Islands

Skills

R code developer

GIS

Spatial analysis

Remote Sensing

Remote Sensing data processing

Statistics

Spatial modelling

Recent Publications

See all publications here.

Human-caused ignition pathways under climate change scenarios in Eastern Spain

Wildfires pose an increasing threat to society, requiring appropriate approaches to understand the components of risk to design effective mitigation strategies. Under this premise, we present a comprehensive methodology to assess the probability of ignition of human-caused wildfires, one of the key drivers of risk. Our approach combines historical ignition records of fires larger than 5 ha (849 ignitions during 1998–2016) in eastern Spain and geospatial information regarding ignition variables. The method leverages the Random Forest algorithm to train a spatially-explicit model of ignition …

Pere Joan Gelabert Vadillo, Adrián Jiménez-Ruano, Jaime Ribalaygua, Luis Torres, Marcos Rodrigues

Human-caused ignition pathways under climate change scenarios in Eastern Spain

A spatially explicit containment modelling approach for escaped wildfires in a Mediterranean climate using machine learning

Wildfires are particularly prevalent in the Mediterranean, being expected to increase in frequency due to the expected increase in regional temperatures and decrease in precipitation. Effectively suppressing large wildfires requires a thorough understanding of containment opportunities across landscapes, to which empirical spatial modelling can contribute largely. The previous containment model in Catalonia failed to account for the crucial roles of weather conditions, lacked temporal prediction and could not forecast windows for containment opportunities, prompting this research. We employed …

Gbenga Lawrence Alawode, Pere Joan Gelabert Vadillo, Marcos Rodrigues

A spatially explicit containment modelling approach for escaped wildfires in a Mediterranean climate using machine learning

Anticipating future extreme wildfire events by coupling ignition and success of initial attack models

In recent years, the EU Commission has enacted various firefighting policies to combat and diminish the adverse effects of wildfires. The Mediterranean area has experienced an observable extension of its wildfire season, coupled with rapid shifts in fire-weather dynamics, resulting in exceptionally severe wildfire occurrences. As of 2022, the EU has recorded an approximate total burned area of 792,902 hectares, with forests accounting for 66% of this figure (Rodrigues et al., 2023). The main objective of this study is to anticipate extreme wildfire conditions by providing a synthetic product …

Pere Joan Gelabert Vadillo, Adrián Jiménez-Ruano, Fellice Catelo, Marcos Rodrigues

Anticipating future extreme wildfire events by coupling ignition and success of initial attack models

Fire hazard trajectories under climate change and management scenarios

In this work we showcase the in-progress results from the FirePATHS project (PID2020-116556RA-I00). The project aims to assess the evolution of fire danger under different emission and forest management scenarios through the explicit interaction of the climate-vegetation-fire system. For this purpose, a methodological framework combining different simulation models of the elements of this system is proposed. The core of the process lies in the modeling of vegetation dynamics at stand scale according to different trajectories of climatic evolution to characterize the state and typology of fuels …

Marcos Rodrigues, Pere Joan Gelabert Vadillo, Teresa Lamelas, Raul Hoffrén, Juan de la Riva, Darío Domingo, Cristina Vega-Garcia, Aitor Ameztegui, Lluís Coll

Fire hazard trajectories under climate change and management scenarios

Reply to: Satellite artifacts modulate FireCCILT11 global burned area

Adrián Cardil, Renaud Barbero, Joaquín Ramirez, Cathekijne Stoof, Carlos Alberto Silva, Midhun Mohan, Pere Joan Gelabert Vadillo, Macarena Ortega, Sergio de Miguel