A5002300954- Urban Heat Island Mitigation
- Building Energy and Comfort Optimization
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Climate Change and Health Impacts
- Urban Green Space and Health
- COVID-19 impact on air quality
- Solar Radiation and Photovoltaics
- Impact of Light on Environment and Health
- Noise Effects and Management
- Climate variability and models
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Species Distribution and Climate Change
- Remote-Sensing Image Classification
- Cancer Genomics and Diagnostics
- Air Quality and Health Impacts
- Radiomics and Machine Learning in Medical Imaging
- Air Quality Monitoring and Forecasting
- Calibration and Measurement Techniques
- Satellite Image Processing and Photogrammetry
- Inertial Sensor and Navigation
- Human Mobility and Location-Based Analysis
- Geographic Information Systems Studies
- Climate change impacts on agriculture
National Observatory of Athens
2014-2025
Ruhr University Bochum
2021-2024
University Hospitals of the Ruhr-University of Bochum
2023
National Observatory
2021
National Technical University of Athens
2013-2017
Netherlands Institute for Radio Astronomy
2015
The World Urban Database and Access Portal Tools (WUDAPT) is a community initiative to collect worldwide data on urban form (i.e., morphology, materials) function use metabolism). This achieved through crowdsourcing, which we define here as the collection of by bounded crowd, composed students. In this process, training for classification structures into Local Climate Zones (LCZ) are obtained, are, like most volunteered geographic information initiatives, unknown quality. study, investigated...
Informing and engaging all actors in the land sector, including land-owners managers, researchers, policy-makers citizens, on most effective sustainable land-based solutions behavioural changes is a key strategy for achieving climate change adaptation mitigation targets at global as well EU local level. One requisite to support sector provide them publicly available, reliable ready-to-use information related implementation of Land-based Adaptation Mitigation Solutions (LAMS). Here we...
In this work, we investigate how the seasonal hysteresis of Surface Urban Heat Island Intensity (SUHII) differs across climates and provide a detailed typology daytime nighttime SUHII loops. Instead typical tropical/dry/temperate/continental grouping, describe Earth’s climate using Köppen–Geiger system that empirically maps biome distribution into 30 classes. Our thesis is aggregating multi-city data without considering each city results in temporal means fail to reflect actual...
The downscaling of geostationary diurnal thermal data can ease the lack land surface temperature (LST) datasets that combine high spatial and temporal resolution. However, LST is more demanding than single scenes. This because spatiotemporal interrelationships original have to be preserved accurately reproduced by downscaled (DLST) data. To end, disaggregation kernels/predictors provide information about distribution during different times a day prove especially useful. Such predictors are...
Spatial downscaling effectively produces high spatiotemporal resolution land surface temperature (LST) in urban areas. Although nighttime LST is an essential indicator thermal research, few studies have focused on fine resolution. This study proposed a novel approach using local linear forest (LLF) to downscale 1 km Moderate Resolution Imaging Spectroradiometer (MODIS) LSTs 250 m spatial three cities: Rome, Madrid, and Seoul. First, we used Least Absolute Shrinkage Selection Operator (LASSO)...
The downscaling of frequently-acquired geostationary Land Surface Temperature (LST) data can compensate the lack high spatiotemporal LST for urban climate studies. In order to be usable, generated datasets must accurately reproduce features coarse-scale time series with greater spatial detail. This work concerns this issue and exploits temporal resolution address it. Specifically, it assesses accuracy, correct pattern formation inter-relationships an three-month-long downscaled series....
Climate change presents significant challenges for urban areas, with heat waves posing a critical threat to resilience and liveability. Urban stakeholders must adopt data-driven approaches ensure equitable transformation of spaces while addressing environmental justice challenges. This study examines the distribution quality green in Dortmund, Germany, through lens justice, focusing on their societal value, accessibility, role mitigating exposure vulnerable populations.The further assesses...
Urban heat assessment and adaptation planning are critical for local governments to address the increasing challenges posed by climate change. While many plans being developed, integration of latest scientific methods tools remains limited.SOLWEIG is an established tool assessing radiation exposure in urban areas has been used numerous case studies analyze vulnerability neighborhoods cities worldwide. Unlike other more extensive tools, that use resource-intensive calculations atmospheric...
As global warming intensifies, urban areas are experiencing rising temperatures, with notable effects on the residents' health and well-being. Satellite-derived Land Surface Temperatures (LST) provide an independent measure of surface temperature change, long time series LST becoming indispensable for studying impacts climate at local, regional, level. Recent studies have shown a consistent rise in across cities; however, it remains unclear how this change compares to that surrounding rural...
Recently, human-centered urban heat assessment and adaptation planning have become increasingly relevant to local governments, leading the development of numerous plans address related issues. However, policies that integrate latest scientific methods tools are rarely implemented. To guide decision-making, budget policy development, data-driven approaches gaining more attention. These require knowledge collect data sets, provide interpretation guidelines for city departments, deliver...
Climate change presents significant challenges for urban areas including critical threat to citizen’s health and thermal comfort. To enable equitable transformation of spaces stakeholders increasingly adopt data-driven approaches. Within the Data2Resilience (D2R) project we designed a biometeorological observation network at city scale in Dortmund provide near real-time data support For design considered relevant parameters, such as structure represented by Local Zones, population density,...
Climate change presents significant challenges for urban areas, with heat waves posing a critical threat to resilience and liveability. New data-driven approaches can help ensure equitable transformation of spaces while addressing environmental justice challenges. This study, done within the framework Data2Resilience (D2R) project, examines distribution quality green in Dortmund, Germany, through lens justice. Therefore, we focuse on their societal value, accessibility, role mitigating...
Urban heat is a significant challenge, arising from the combined effect of global climate change and urban development. Many studies have been conducted on city-by-city basis, with primary focus summer days. These often overlook broader impact background climate, seasonality, diurnal cycle. To address these gaps, we explore Land Surface Temperature (LST) growth in over 1400 cities around world 2002 to 2021 using Aqua MODIS satellite. Results show that are generally getting warmer across...
The Urban Heat Island (UHI) is an adverse environmental effect of urbanization that increases the energy demand cities and impacts human health. study this for monitoring mitigation purposes crucial, but it hampered by lack high spatiotemporal temperature data. This article presents work undertaken implementation operational real-time module 2 m air (TA) at a spatial resolution 1 km based on Meteosat Second Generation—Spinning Enhanced Visible Infrared Imager (MSG-SEVIRI). new has been...
Spatial variability in temperature exists within metropolitan areas but very few studies have investigated intra-urban differentiation the temperature-mortality effects. We whether local characteristics of 42 Municipalities Greater Athens Area lead to modified effects on mortality and if effect modifiers can be identified. Generalized Estimating Equations models were used assess high ambient total cause-specific daily number deaths meta-regression investigate modification. found significant...
The land surface temperature (LST) drives many terrestrial biophysical processes and varies rapidly in space time primarily due to the earth's diurnal annual cycles. Models of LST cycle retrieved from satellite data can be reduced several gap-free parameters that represent surface's thermal characteristics provide a generalized characterization temporal dynamics. In this letter, we use such an approach map Europe's particular, reduce five-year series (2009-2013) Spinning Enhanced Visible...
The satellite-derived surface urban heat island is often not properly distinguished from the in situ-derived canopy-layer field of remote sensing climates. Yet, some studies have investigated their differences, focusing mainly on single agglomerations and limited periods. Moreover, a comparison different impeded due to non-standardized classifications. This study analyzes impact definitions rural intensity investigates differences between intensities for long time period large number...
Municipalities play a key role in supporting Europe's energy transition towards low-carbon economy. However, there is lack of tools to allow municipalities easily formulate detailed vision for their city. Nevertheless, most have access georeferenced cartographic and cadastre information, including that on basic building characteristics. This article describes an innovative method calculate display the current hourly thermal demand each district based cartography, cadastre, degree-day values....