José M. C. Pereira

ORCID: 0000-0003-2583-3669
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About
Contact & Profiles
Research Areas
  • Fire effects on ecosystems
  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics
  • Flood Risk Assessment and Management
  • Landslides and related hazards
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Atmospheric chemistry and aerosols
  • Fire dynamics and safety research
  • Remote-Sensing Image Classification
  • Plant Water Relations and Carbon Dynamics
  • Disaster Management and Resilience
  • Fire Detection and Safety Systems
  • Forest Biomass Utilization and Management
  • Species Distribution and Climate Change
  • Rangeland and Wildlife Management
  • Wind and Air Flow Studies
  • Ecology and Vegetation Dynamics Studies
  • Climate variability and models
  • Aeolian processes and effects
  • Atmospheric aerosols and clouds
  • Soil Geostatistics and Mapping
  • Impact of Light on Environment and Health
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques

University of Lisbon
2015-2024

Forest Research
2023

Centro Hospitalario Pereira Rossell
2023

Polytechnic Institute of Cávado and Ave
2023

Universidade do Porto
2018-2022

Weatherford College
2022

INESC TEC
2022

Government of the United States of America
2022

ANA Aeroportos de Portugal (Portugal)
2022

Czech Hydrometeorological Institute
2022

In many regions of the world, fires are an important and highly variable source air pollutant emissions, they thus constitute a significant if not dominant factor controlling interannual variability atmospheric composition. This paper describes 41‐year inventory vegetation fire emissions constructed for Reanalysis Tropospheric chemical composition over past 40 years project (RETRO), global modeling study to investigate trends tropospheric ozone other pollutants decades. It is first attempt...

10.1029/2007gb003031 article EN Global Biogeochemical Cycles 2008-04-08

Abstract Land suitability evaluation in a raster GIS environment is conceptualized as multiple-criteria decision-making (MCDM) problem. A combination of MCDM techniques selected for implementing the methodology included value and priority assessment scaling interval ordinal data respectively, compromise programming (CP) to aggregate unidimensional evaluations. The contribution proposed handle problems dependence that often affect expert-based analyses discussed. case-study habitat endangered...

10.1080/02693799308901971 article EN International Journal of Geographical Information Systems 1993-09-01

Abstract During the last decades, climate and land use changes led to an increased prevalence of megafires in Mediterranean-type regions (MCRs). Here, we argue that current wildfire management policies MCRs are destined fail. Focused on fire suppression, these largely ignore ongoing warming landscape-scale buildup fuels. The result is a ‘firefighting trap’ contributes fuel accumulation precluding suppression under extreme weather, resulting more severe larger fires. We believe ‘business as...

10.1088/1748-9326/ab541e article EN cc-by Environmental Research Letters 2019-11-04

Abstract Aim This paper presents a new global burned area (BA) product developed within the framework of European Space Agency's Climate Change Initiative (CCI) programme, along with first assessment its potentials for atmospheric and carbon cycle modelling. Innovation Methods are presented generating BA product, comparison existing products, in terms extension, fire size shapes emissions derived from biomass burnings. Main conclusions Three years were produced, accounting total between 360...

10.1111/geb.12440 article EN cc-by Global Ecology and Biogeography 2016-03-17
Sayedeh Sara Sayedi Benjamin W. Abbott Boris Vannière Bérangère Leys Danièle Colombaroli and 95 more Graciela Gil‐Romera Michał Słowiński Julie C. Aleman Olivier Blarquez Angelica Feurdean Kendrick J. Brown Tuomas Aakala Teija Alenius Kathryn Allen Maja Andrič Yves Bergeron Siria Biagioni Richard Bradshaw Laurent Brémond Élodie Brisset Joseph Brooks Sandra O. Brugger Thomas Brussel Haidee Cadd Eleonora Cagliero Christopher Carcaillet Vachel A. Carter Filipe X. Catry Antoine Champreux Émeline Chaste Raphaël D. Chavardès M. L. Chipman Marco Conedera Simon Connor Mark Constantine Colin J. Courtney Mustaphi Abraham Dabengwa William Daniels Erik de Boer Elisabeth Dietze Joan Estrany Paulo M. Fernandes Walter Finsinger Suzette G. A. Flantua Paul Fox‐Hughes Dorian M. Gaboriau Eugenia M. Gayó Martin P. Girardin Jeffrey Glenn Ramesh Glückler Catalina González Mariangelica Groves Douglas S. Hamilton Rebecca Hamilton Stijn Hantson Kartika Anggi Hapsari Mark Hardiman Donna Hawthorne Kira M. Hoffman Jun Inoue Allison T. Karp Patrik Krebs Charuta Kulkarni Niina Kuosmanen Terri Lacourse Marie‐Pierre Ledru Marion Lestienne Colin J. Long José Antonio López Sáez Nicholas J.D. Loughlin Mats Niklasson Javier Madrigal S. Yoshi Maezumi Katarzyna Marcisz Michela Mariani David B. McWethy Grant A. Meyer Chiara Molinari Encarni Montoya Scott Mooney César Morales‐Molino J.L. Morris Patrick Moss Imma Oliveras José M. C. Pereira Gianni Boris Pezzatti Nadine Pickarski Roberta Pini Emma Rehn Cécile C. Remy Jordi Revelles Damien Rius Vincent Robin Yanming Ruan Natalia Rudaya Jeremy Russell‐Smith Heikki Seppä Lyudmila Shumilovskikh William T. Sommers Çağatay Tavşanoğlu

Abstract Background The global human footprint has fundamentally altered wildfire regimes, creating serious consequences for health, biodiversity, and climate. However, it remains difficult to project how long-term interactions among land use, management, climate change will affect fire behavior, representing a key knowledge gap sustainable management. We used expert assessment combine opinions about past future regimes from 99 researchers. asked quantitative qualitative assessments of the...

10.1186/s42408-023-00237-9 article EN cc-by Fire Ecology 2024-02-08

This paper presents the first published time series of burned area maps Africa, covering an 8 year period, 1981–1983 and 1985–1991. These were derived from analysis advanced very high resolution radiometer (AVHRR) global coverage (GAC) images at 5 km resolution. The for period 1985–1991 used with biomass density burning efficiency figures, to estimate quantity during this 6 period. Emission factors further trace gas aerosol emissions produced by vegetation fires. Biomass was estimated based...

10.1029/1999gb900042 article EN Global Biogeochemical Cycles 1999-12-01

The only vegetation index (VI) used in all Advanced Very High Resolution Radiometer (AVHRR)-based burned area studies performed so far is the normalized difference (NDVI), spite of serious known deficiencies caused by sensitivity to atmospheric conditions and soil background. In this study, ability various VI discriminate between unburned surfaces compared, using burn maps derived from classification Landsat thematic mapper (TM) imagery as reference data. After assessing discriminatory...

10.1109/36.739156 article EN IEEE Transactions on Geoscience and Remote Sensing 1999-01-01

The scientific community interested in atmospheric chemistry, gas emissions from vegetation fires, and carbon cycling is currently demanding information on the extent timing of biomass burning at global scale. In fact, area type that burned a monthly or annual basis are two parameters provide greatest uncertainty calculation aerosol biomass. To address this need, an inventory areas time periods for year 2000 resolution 1 km 2 has been produced using satellite data made freely available to...

10.1029/2003jd003598 article EN Journal of Geophysical Research Atmospheres 2004-06-07

Vegetation fires occur worldwide, all year round and inject enormous amounts of trace gases particles into the atmosphere. Nonetheless, there is still great uncertainty as to global spatial temporal distribution vegetation fires. Twenty one months global, daily, daytime satellite data at 1 km resolution, from April 1992 December 1993, were processed in order determine positions active Results first twelve study period are presented here. This time that such a has been carried out using long...

10.1080/014311600210182 article EN International Journal of Remote Sensing 2000-01-01

The summer of 2003 was characterised by exceptional warm weather in Europe, particularly during the first two weeks August, when a devastating sequence large fires observed, reaching an amount circa 450 000 ha, largest figure ever recorded Portugal modern times. They were concentrated relatively confined regions and considerable proportion burnt area due to started on 2nd 3rd August. It is shown that 850 hPa temperature values observed over for 1st August highest since 1958. Using data from...

10.1002/joc.1333 article EN International Journal of Climatology 2006-01-01

ABSTRACT Aim In any region affected, fires exhibit a strong seasonal cycle driven by the dynamic of fuel moisture and ignition sources throughout year. this paper we investigate global patterns fire seasonality, which relate to climatic, anthropogenic, land‐cover land‐use variables. Location Global, with detailed analyses from single 1°× 1° grid cells. Methods We use risk index, Chandler burning index (CBI), as an indicator ‘natural’, eco‐climatic across all types ecosystems. A simple...

10.1111/j.1466-8238.2010.00525.x article EN Global Ecology and Biogeography 2010-04-08

Abstract. Global controls on month-by-month fractional burnt area (2000–2005) were investigated by fitting a generalised linear model (GLM) to Fire Emissions Database (GFED) data, with 11 predictor variables representing vegetation, climate, land use and potential ignition sources. Burnt is shown increase annual net primary production (NPP), number of dry days, maximum temperature, grazing-land area, grass/shrub cover diurnal temperature range, decrease soil moisture, cropland population...

10.5194/bg-11-5087-2014 article EN cc-by Biogeosciences 2014-09-22

Fire frequency in 21 forest planning regions of Portugal during the period 1975–2005 was estimated from historical burnt area maps generated with semi-automatic classification Landsat Thematic Mapper (TM) satellite imagery. return interval distributions were modelled Weibull function and parameters used to calculate regional mean, median modal fire intervals, as well hazard functions. Arrangement available data into three different time series allowed for assessment effects minimum mapping...

10.1071/wf10131 article EN International Journal of Wildland Fire 2011-10-24

Previous research has shown that fires burn certain land cover types disproportionally to their abundance. We used quantile regression study proneness fire as a function of size, under the hypothesis they are inversely related, for all types. Using five years perimeters, we estimated conditional functions lower (avoidance) and upper (preference) quantiles selectivity - annual crops, evergreen oak woodlands, eucalypt forests, pine forests shrublands. The slope significant describes rate...

10.1371/journal.pone.0084760 article EN cc-by PLoS ONE 2014-01-13

Abstract. Tropical forests have been a permanent feature of the Amazon basin for at least 55 million years, yet climate change and land use threaten forest's future over next century. Understory forest fires, which are common under current in frontier forests, may accelerate losses from climate-driven dieback deforestation. Far frontiers, scarce fire ignitions high moisture levels preclude significant burning, projected changes increase activity these remote regions. Here, we used model...

10.5194/esd-8-1237-2017 article EN cc-by Earth System Dynamics 2017-12-20
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