Sérgio Freire

ORCID: 0000-0003-2282-701X
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About
Contact & Profiles
Research Areas
  • Impact of Light on Environment and Health
  • Land Use and Ecosystem Services
  • Human Mobility and Location-Based Analysis
  • Geographic Information Systems Studies
  • Remote Sensing and Land Use
  • Urban Transport and Accessibility
  • Disaster Management and Resilience
  • Remote Sensing and LiDAR Applications
  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • demographic modeling and climate adaptation
  • 3D Modeling in Geospatial Applications
  • Flood Risk Assessment and Management
  • Automated Road and Building Extraction
  • Satellite Image Processing and Photogrammetry
  • 3D Surveying and Cultural Heritage
  • Urbanization and City Planning
  • Solar Radiation and Photovoltaics
  • Spatial and Panel Data Analysis
  • Soil Geostatistics and Mapping
  • Urban Design and Spatial Analysis
  • Fire effects on ecosystems
  • Image Processing and 3D Reconstruction
  • Evacuation and Crowd Dynamics
  • Data-Driven Disease Surveillance

Joint Research Centre
2015-2024

University of Twente
2018-2019

Universidade Nova de Lisboa
2010-2015

Center for Innovation
2013

Instituto Superior Técnico
2013

University of Lisbon
2010-2011

San Antonio College
2011

University of Coimbra
2011

University of Kansas
2001

Karolinska Institutet
1993

The Degree of Urbanisation is a new definition cities, towns and semi-dense areas, rural areas endorsed by the UN Statistical Commission. urban population share according to similar one based on national definitions in Americas, Europe Oceania, but considerably higher Africa Asia. An empirical analysis comparison concepts suggest that are likely be classified as Asia other parts world. paper shows cities cover only small land, this doubled over past forty years, has number cities. Although...

10.1016/j.jue.2020.103312 article EN cc-by Journal of Urban Economics 2020-11-26

Available statistics on tourism from official European sources are limited in terms of both the spatial and temporal resolutions, curbing potential analyses applications relevant for management policy. In this study, we produced a novel, complete consistent dataset describing tourist density at high resolution with monthly breakdown whole Union. This is achieved thanks to integration data conventional statistical big emerging sources, namely two major online booking services containing...

10.1016/j.tourman.2018.02.020 article EN cc-by Tourism Management 2018-03-18

In the last few decades magnitude and impacts of planetary urban transformations have become increasingly evident to scientists policymakers. The ability understand these processes remained limited in terms territorial scope comparative capacity for a long time: data availability harmonization were among main constraints. Contemporary technological assets, such as remote sensing machine learning, allow analyzing global changes settlement process with unprecedented detail. Global Human...

10.3390/rs10050768 article EN cc-by Remote Sensing 2018-05-16

The growth of the built environment is a global environmental change processes that can be measured and monitored with Earth Observation. That expected to continue as populations both increase urbanize. Global Human Settlement Layer (GHSL) project was set up measure monitor its changes [1]. GHSL layers presented herein are derived by processing archive Landsat imagery dating back 1975. from include four information corresponding epochs: 1975, 1990, 2000 2014 [2]. geo-information generated...

10.1109/igarss.2016.7730897 article EN 2016-07-01

Better and more detailed analyses of global human exposure to hazards associated disaster risk require improved geoinformation on population distribution densities. In particular, issues temporal spatial resolution are important for determining the capacity assessing changes in these distributions. We combine best-available grids with latest data volcanoes, assess characterize worldwide from 1975–2015 relation recent volcanism. Both Holocene volcanoes those where there is evidence...

10.3390/ijgi8080341 article EN cc-by ISPRS International Journal of Geo-Information 2019-07-31

Sustainable Development Goal (SDG) 11 aspires to “Make cities and human settlements inclusive, safe, resilient sustainable”, the introduction of an explicit urban goal testifies importance urbanisation. The understanding process urbanisation capacity monitor SDGs require a wealth open, reliable, locally yet globally comparable data, fully-fledged data revolution. In this framework, European Commission–Joint Research Centre has developed suite (open free) tools named Global Human Settlement...

10.3390/su11205674 article EN Sustainability 2019-10-14

The application of last-generation spatial data modelling, integrating Earth Observation, population, economic and other spatially explicit data, enables insights into the sustainability global urbanisation processes with unprecedented detail, consistency, international comparability. In this study, land use efficiency indicator, as developed in Sustainable Development Goals, is assessed globally for first time at level Functional Urban Areas (FUAs). Each FUA includes city its commuting zone...

10.1016/j.habitatint.2022.102543 article EN cc-by Habitat International 2022-03-23

The Global Human Settlement Layer (GHSL) project fosters an enhanced, public understanding of the human presence on Earth. A decade after its inception in Digital Earth 2020 vision, GHSL is established European Commission's Joint Research Centre and integral part Copernicus Emergency Management Service. 2023 edition, a result rigorous research Observation data population censuses, contributes significantly to worldwide settlements. It introduces new elements like 10-m-resolution, sub-pixel...

10.1080/17538947.2024.2390454 article EN cc-by International Journal of Digital Earth 2024-08-30

Abstract. Disaster risk is not fully characterized without taking into account vulnerability and population exposure. Assessment of earthquake in urban areas would benefit from considering the variation distribution at more detailed spatial temporal scales, a explicit integration this improved demographic data with existing seismic hazard maps. In present work, "intelligent" dasymetric mapping used to model dynamics high resolution order analysis spatio-temporal exposure metropolitan area....

10.5194/nhess-12-3533-2012 article EN cc-by Natural hazards and earth system sciences 2012-11-29

Data on global population distribution are a strategic resource currently in high demand an age of new Development Agendas that call for universal inclusiveness people. However, quality, detail, and census data varies significantly by country suffers from shortcomings propagate to derived grids their applications. In this work, the improved capabilities recent remote sensing-derived settlement detect mitigate major discrepancies with is explored. Open layers mapping built-up presence were...

10.1080/17538947.2018.1548656 article EN cc-by-nc-nd International Journal of Digital Earth 2018-12-23

The presence of green spaces within city centres has been recognized as a valuable component the landscape. Vegetation provides variety benefits including energy saving, improved air quality, reduced noise pollution, decreased ambient temperature and psychological restoration. Evidence also shows that amount vegetation, known ‘greenness’, in densely populated areas, can be an indicator relative wealth neighbourhood. ‘grey-green divide’, contrast between built-up areas with dominant grey...

10.1080/17538947.2018.1530311 article EN cc-by-nc-nd International Journal of Digital Earth 2018-10-25

Exposure is reported to be the biggest determinant of disaster risk, it continuously growing and by monitoring understanding its variations over time possible address risk reduction, also at global level. This work uses Earth observation image archives derive information on human settlements that are used quantify exposure five natural hazards. paper first summarizes procedure within settlement layer (GHSL) project extract built-up area from 40 year deep Landsat archive population density...

10.3390/rs10091378 article EN cc-by Remote Sensing 2018-08-30

Abstract The knowledge of the spatial and temporal distribution human population is vital for study cities, disaster risk management or planning infrastructure. However, information on often based place-of-residence statistics from official sources, thus ignoring changing densities resulting mobility. Existing assessments spatio-temporal are limited in their detail geographical coverage, promising mobile-phone records hindered by issues concerning availability consistency. Here, we present a...

10.1038/s41467-020-18344-5 article EN cc-by Nature Communications 2020-09-15

Human settlements typically expand to accommodate additional housing demand from a growing population and their socio-economic activities. This implies consumption of land, limited resource necessary for many other services. The efficiency this exploitation in relation demographic trends is key preserve land natural capital that could otherwise be degraded. Here, we assess patterns built-up area growth over the period 2000–2015, using statistics remote-sensing data. We find on average, EU27,...

10.1080/1747423x.2022.2055184 article EN cc-by Journal of Land Use Science 2022-01-02

Monitoring sustainable urban development requires comparable geospatial information on cities across several thematic domains. Here we present the first global database combining such with city extents. The Global Human Settlement Urban Centre Database (GHS-UCDB) is produced by data integration to characterise more than 10,000 centres worldwide. multi-dimensional and multi-temporal, containing 28 variables five domains having multitemporal attributes for one or epochs when UC are delineated...

10.1038/s41597-023-02691-1 article EN cc-by Scientific Data 2024-01-17

Available global population grids suffer from limitations that constrain their usability. The Global Human Settlement Layer (GHSL) may benefit disaggregation and mapping. We test the integration of GHSL built-up grid Gridded Population World (GPW) in order to refine mapping distribution Syria, for year 2000, greatly improving depiction density. Preliminary results indicate is a good proxy disaggregation.

10.1109/igarss.2015.7326329 article EN 2015-07-01
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