A5050615763- Urban Heat Island Mitigation
- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Atmospheric and Environmental Gas Dynamics
- Meteorological Phenomena and Simulations
- Wind and Air Flow Studies
- Impact of Light on Environment and Health
- Atmospheric aerosols and clouds
- Climate variability and models
- Remote Sensing and LiDAR Applications
- Satellite Image Processing and Photogrammetry
- Calibration and Measurement Techniques
- Building Energy and Comfort Optimization
- Atmospheric chemistry and aerosols
- Air Quality Monitoring and Forecasting
- Flood Risk Assessment and Management
- Geographic Information Systems Studies
- Precipitation Measurement and Analysis
- Urban Green Space and Health
- Geophysics and Gravity Measurements
- Air Quality and Health Impacts
- Advanced Image Fusion Techniques
- Sustainability and Ecological Systems Analysis
Foundation for Research and Technology Hellas
2015-2024
FORTH Institute of Electronic Structure and Laser
2018-2024
FORTH Institute of Applied and Computational Mathematics
2007-2023
Institute of Applied Physics and Computational Mathematics
2008-2022
Université de Toulouse
2020
Centre d'Études Spatiales de la Biosphère
2020
Université Toulouse III - Paul Sabatier
2020
Institut de Recherche pour le Développement
2020
Centre National de la Recherche Scientifique
2020
University of Basel
2016
The Urban Heat Island (UHI) effect is one of the most harmful environmental hazards for urban dwellers. Climate change expected to increase intensity UHI effect. In this context, implementation Green Infrastructure (UGI) can partially reduce intensity, promoting a resilient environment and contributing climate adaptation mitigation. order achieve result, there need systematically integrate UGI into planning legislation, but process subject availability widely applicable, easily accessible...
Bathymetry mapping forms the basis of understanding physical, economic, and ecological processes in vastly biodiverse coastal fringes our planet which are subjected to constant anthropogenic pressure. Here, we pair recent advances cloud computing using geospatial platform Google Earth Engine (GEE) with optical remote sensing technology open Sentinel-2 archive, obtaining low-cost situ collected data develop an empirical preprocessing workflow for estimating satellite-derived bathymetry (SDB)....
To better understand the life-essential cycles and processes of our planet to further develop remote sensing (RS) technology, there is an increasing need for models that simulate radiative budget (RB) RS acquisitions urban natural landscapes using physical approaches considering three-dimensional (3-D) architecture Earth surfaces. Discrete anisotropic transfer (DART) one most comprehensive physically based 3-D Earth-atmosphere transfer, covering spectral domain from ultraviolet thermal...
This study explores the estimation of land surface temperature (LST) for globe from Landsat 5, 7 and 8 thermal infrared sensors, using different emissivity sources. A single channel algorithm is used consistency among estimated LST products, whereas option sources provides flexibility algorithm’s implementation to any area interest. The Google Earth Engine (GEE), an advanced earth science data analysis platform, allows products globe, covering time period 1984 present. To evaluate method,...
The measures taken to contain the spread of COVID-19 in 2020 included restrictions people's mobility and reductions economic activities. These drastic changes daily life, enforced through national lockdowns, led abrupt anthropogenic CO2 emissions urbanized areas all over world. To examine effect social on local CO2, we analysed district level fluxes measured by eddy-covariance technique from 13 stations 11 European cities. data span several years before pandemic until October (six months...
The Shuttle Radar Topography Mission (SRTM) collected elevation data over 80% of earth's land area during an 11‐day Space mission. With a horizontal resolution 3 arc sec, SRTM represents the best quality, freely available digital models (DEMs) worldwide. Since are unedited, they contain occasional voids, or gaps, where terrain lay in radar beam's shadow areas extremely low backscatter, such as sea, dams, lakes and virtually any water‐covered surface. In contrast to short duration mission,...
Abstract. Solar radiation reflected by the Earth's surface to satellite sensors is modified its interaction with atmosphere. The objective of applying an atmospheric correction determine true reflectance values and retrieve physical parameters surface, including reflectance, removing effects from images. Atmospheric arguably most important part pre-processing remotely sensed data. Such a especially in cases where multi-temporal images are be compared analyzed. For agricultural applications,...
Seagrasses are traversing the epoch of intense anthropogenic impacts that significantly decrease their coverage and invaluable ecosystem services, necessitating accurate adaptable, global-scale mapping monitoring solutions. Here, we combine cloud computing power Google Earth Engine with freely available Copernicus Sentinel-2 multispectral image archive, composition, machine learning approaches to develop a methodological workflow for large-scale, high spatiotemporal seagrass habitats. The...
One important challenge facing the urbanization and global environmental change community is to understand relation between urban form, energy use carbon emissions. Missing from current literature are scientific assessments that evaluate impacts of different spatial units on fluxes; yet, this type analysis needed by planners, who recognize local scale zoning affects consumption climate. Satellite-based estimation fluxes at neighbourhood still a challenge. Here we show potential satellite...
Air quality monitoring across Europe is mainly based on in situ ground stations, which are too sparse to accurately assess the exposure effects of air pollution for entire continent. The demand precise predictive models that estimate gridded geophysical parameters ambient at high spatial resolution has rapidly grown. Here, we investigate potential satellite-derived products improve particulate matter (PM) estimates. Bayesian geostatistical addressing confounding between distribution...
High spatial and temporal resolution satellite remote sensing estimates are the silver bullet for monitoring of coastal marine areas globally. From 2000, when first commercial platforms appeared, offering high data, mapping habitats extraction bathymetric information have been possible at local scales. Since then, several offered such although not resolution, making selection suitable images challenging, especially in with cloud coverage. PlanetScope CubeSats appear to cover this gap by...
Climate change and other drivers are affecting ecosystems around the globe. In order to enable a better understanding of ecosystem functioning develop mitigation adaptation strategies in response environmental change, broad range information, including in-situ observations both biotic abiotic parameters, needs be considered. Access sufficient well documented data from long term is therefore one key requirements for modelling assessing effects global on ecosystems. Usually, such generated by...
Abstract Spatiotemporal ecological modelling of terrestrial ecosystems relies on climatological and biophysical Earth observations. Due to their increasing availability, global coverage, frequent acquisition high spatial resolution, satellite remote sensing ( SRS ) products are frequently integrated in situ data the development ecosystem models EM s) quantifying interaction among vegetation component hydrological, energy nutrient cycles. This review highlights main advances achieved last...
Abstract. A total of 20 urban neighbourhood-scale eddy covariance flux tower datasets are made openly available after being harmonized to create a 50 site–year collection with broad diversity in climate and surface characteristics. Variables needed as inputs for land models (incoming radiation, temperature, humidity, air pressure, wind precipitation) quality controlled, gap-filled prepended 10 years reanalysis-derived local data, enabling an extended spin up equilibrate conditions. For both...