A5046995694- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Climate change and permafrost
- Climate variability and models
- Cryospheric studies and observations
- Calibration and Measurement Techniques
- Building Energy and Comfort Optimization
- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Fire effects on ecosystems
- Remote Sensing and LiDAR Applications
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Atmospheric aerosols and clouds
- Plant Ecology and Soil Science
- Soil Moisture and Remote Sensing
- Arctic and Antarctic ice dynamics
- Urban Green Space and Health
- Adaptive optics and wavefront sensing
- Remote-Sensing Image Classification
- Flood Risk Assessment and Management
- Atmospheric chemistry and aerosols
- Solar Radiation and Photovoltaics
- Fire dynamics and safety research
University of Lisbon
2014-2024
Portuguese Sea and Atmosphere Institute
2018-2024
Universidade Nova de Lisboa
2021-2022
IdMind (Portugal)
2014-2021
Instituto Dom Luiz
2019-2021
Nanjing University
2021
Yale University
2021
Land Surface Temperature (LST) is increasingly important for various studies assessing land surface conditions, e.g., of urban climate, evapotranspiration, and vegetation stress. The Landsat series satellites have the potential to provide LST estimates at a high spatial resolution, which particularly appropriate local or small-scale studies. Numerous proposed retrieval algorithms series, some datasets are available online. However, those generally require users be able handle large volumes...
A new all-weather land surface temperature (LST) product derived at the Satellite Application Facility on Land Surface Analysis (LSA-SAF) is presented. It first LST based visible and infrared observations combining clear-sky retrieved from Spinning Enhanced Visible Infrared Imager Meteosat Second Generation (MSG/SEVIRI) (IR) measurements with estimated a energy balance (EB) model to fill gaps caused by clouds. The EB solves mostly using products LSA-SAF. compared in situ made 3 dedicated...
Land surface temperature (LST) is a key variable in surface-atmosphere energy and water exchanges. The main goals of this study are to (i) evaluate the LST European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim ERA5 reanalyses over Iberian Peninsula using Satellite Application Facility on Surface Analysis (LSA-SAF) product (ii) understand drivers errors reanalysis. Simulations with ECMWF land-surface model offline mode (uncoupled) were carried out compared reanalysis data....
Abstract Most available long‐term databases of land surface temperature (LST) derived from space‐borne sensors rely on infrared observations and are therefore restricted to clear‐sky conditions. Hence, studies based such data sets may not be representative all‐weather conditions considered as “biased” toward clear sky. An assessment the impact this restriction is made using 3 years LST passive microwave that affected by most clouds. A systematic analysis in space time performed “clear‐sky...
Abstract. The eddy-covariance technique measures carbon, water, and energy fluxes between the land surface atmosphere at hundreds of sites globally. Collections standardised homogenised flux estimates such as LaThuile, Fluxnet2015, National Ecological Observatory Network (NEON), Integrated Carbon Observation System (ICOS), AsiaFlux, AmeriFlux, Terrestrial Ecosystem Research (TERN)/OzFlux data sets are invaluable to study processes vegetation functioning ecosystem scale. Space-borne...
Here we present a procedure that allows the operational generation of daily maps fire danger over Mediterranean Europe. These are based on integrated use vegetation cover maps, weather data and activity as detected by remote sensing from space. The study covers period July–August 2007 to 2009. It is demonstrated statistical models two-parameter generalised Pareto (GP) distributions adequately fit observed samples duration these significantly improved when Fire Weather Index (FWI), which...
Abstract. Earth observations were used to evaluate the representation of land surface temperature (LST) and vegetation coverage over Iberia in two state-of-the-art models (LSMs) – European Centre for Medium-Range Weather Forecasts (ECMWF) Carbon-Hydrology Tiled ECMWF Scheme Surface Exchanges Land (CHTESSEL) Météo-France Interaction between Soil Biosphere Atmosphere model (ISBA) within SURface EXternalisée modeling platform (SURFEX-ISBA) 2004–2015 period. The results showed that daily maximum...
Changes in lake water temperature, observed with the greatest intensity during last two decades, may significantly affect functioning of these unique ecosystems. Currently, situ studies Poland are conducted only for 38 lakes using single-point method. The aim this study was to develop a method remote sensing monitoring temperature spatio-temporal context based on Landsat 8 imagery. For purpose, data obtained 28 from period 2013–2020, linear regression (LM) and random forest (RF) models were...
Abstract Inversions of the Earth Observation Satellite (EOS) Advanced Microwave Scanning Radiometer (AMSR‐E) brightness temperatures ( T bs ) to derive land surface temperature s are presented based on building a global transfer function by neural networks trained with AMSR‐E and retrieved microwave *. The only required inputs monthly climatological emissivities, minimizing dependence ancillary data. inversions accompanied coarse estimation retrieval uncertainty, an estimate quality...
Abstract. Cities concentrate people, wealth, emissions, and infrastructure, thus representing a challenge an opportunity for climate change mitigation adaptation. This urgently demands accurate urban projections to help organizations individuals make climate-smart decisions. However, most of the large ensembles global regional model simulations do not include sophisticated parameterizations (e.g., EURO-CORDEX; CMIP5/6). Here, we explore this shortcoming in ERA5 (the latest generation...
Land Surface Emissivity (LSE) is a critical variable in the quantification of surface energy budget and for estimation parameters from earth observation data, particular Temperature (LST). A new LSE product proposed that combines two widely used methods: Vegetation Cover Method (VCM) Separation (TES) algorithm. The so-called V-TES approach maximizes strengths each method, considering their different performance over wide range conditions. As such, vegetated areas, where thermal spectral...
Natural surfaces are mostly anisotropic emitters, contributing to the behavior of Land Surface Temperature (LST). This characteristic thermal infrared emissivity is well known and several studies have tried simulate this either with physical or empirical models. However, given high heterogeneity land surfaces, translation angular dependence as provided from measurements models into satellite pixel scale anisotropy generally very difficult. Here we propose a reformulation Mean Minimum-Maximum...
Remote sensing satellite data have been a crucial tool in understanding urban climates. The variety of sensors with different spatiotemporal characteristics and retrieval methodologies gave rise to multitude approaches when analyzing the surface heat island effect (SUHI). Although there are considerable advantages that arise from these (spatiotemporal resolution, time observation, etc.), it also means is need for ability capturing spatial temporal SUHI patterns. For this, several land...
The correction of directional effects on satellite-retrieved land surface temperature (LST) is high relevance for a proper interpretation spatial and temporal features contained in LST fields. This study presents methodology to correct such an operational setting. relies parametric models, which are computationally efficient require few input information, making them particularly appropriate use. models calibrated with data collocated time space from MODIS (Aqua Terra) SEVIRI (Meteosat),...
Land surface temperature (LST) is a key variable in surface-atmosphere energy and water exchanges. The main goals of this study are to (i) evaluate the LST European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim ERA5 reanalyses over Iberian Peninsula using Satellite Application Facility on Surface Analysis (LSA-SAF) product (ii) understand drivers errors reanalysis. Simulations with ECMWF land-surface model offline mode (uncoupled) were carried out compared reanalysis data....
Machine learning is a subfield of artificial intelligence, rooted into statistics. It flexible and interdisciplinary tool that can be used for solving several types problems. This work focused on the use multi-layer perceptron (MLP) to solve regression type problem: downscale land surface temperature (LST) from SEVIRI sensor onboard Meteosat Second Generation series satellites 750 m spatial grid. The choice an MLP in preference other machine algorithms was motivated by intention developing...
Abstract A comparison of land surface temperature ( T s ) derived from the Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR‐E) with infrared is presented. The include clear‐sky estimates Moderate Resolution Imaging Spectroradiometer (MODIS), Spinning Enhanced Visible and Infrared Imager, Geostationary Operational Environmental Satellite (GOES) Japanese Meteorological Imager. higher discrepancies between AMSR‐E MODIS are observed over deserts snow‐covered areas. former...