Suivre
Pedro Mateus
Pedro Mateus
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016
Adresse e-mail validée de fc.ul.pt - Page d'accueil
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Année
Stakeholder participation in the design of environmental policy mixes
R Santos, P Antunes, G Baptista, P Mateus, L Madruga
Ecological economics 60 (1), 100-110, 2006
1222006
Experimental study on the atmospheric delay based on GPS, SAR interferometry, and numerical weather model data
P Mateus, G Nico, R Tomé, J Catalão, PMA Miranda
IEEE Transactions on Geoscience and Remote Sensing 51 (1), 6-11, 2012
672012
Assimilating InSAR maps of water vapor to improve heavy rainfall forecasts: A case study with two successive storms
P Mateus, PMA Miranda, G Nico, J Catalão, P Pinto, R Tomé
Journal of Geophysical Research: Atmospheres 123 (7), 3341-3355, 2018
552018
Sentinel-1 interferometric SAR mapping of precipitable water vapor over a country-spanning area
P Mateus, J Catalão, G Nico
IEEE Transactions on Geoscience and Remote Sensing 55 (5), 2993-2999, 2017
542017
On the estimation of temporal changes of snow water equivalent by spaceborne SAR interferometry: a new application for the Sentinel-1 mission
V Conde, G Nico, P Mateus, J Catalão, A Kontu, M Gritsevich
Journal of Hydrology and Hydromechanics 67 (1), 93-100, 2019
522019
Can spaceborne SAR interferometry be used to study the temporal evolution of PWV?
P Mateus, G Nico, J Catalão
Atmospheric Research 119, 70-80, 2013
472013
Three-dimensional variational assimilation of InSAR PWV using the WRFDA model
P Mateus, R Tomé, G Nico, J Catalão
IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7323-7330, 2016
442016
An ERA5-based hourly global pressure and temperature (HGPT) model
P Mateus, J Catalão, VB Mendes, G Nico
Remote Sensing 12 (7), 1098, 2020
392020
Uncertainty assessment of the estimated atmospheric delay obtained by a numerical weather model (NMW)
P Mateus, G Nico, J Catalão
IEEE Transactions on Geoscience and Remote Sensing 53 (12), 6710-6717, 2015
392015
Maps of PWV temporal changes by SAR interferometry: A study on the properties of atmosphere's temperature profiles
P Mateus, G Nico, J Catalão
IEEE Geoscience and Remote Sensing Letters 11 (12), 2065-2069, 2014
322014
InSAR meteorology: High‐resolution geodetic data can increase atmospheric predictability
PMA Miranda, P Mateus, G Nico, J Catalão, R Tomé, M Nogueira
Geophysical Research Letters 46 (5), 2949-2955, 2019
312019
Assessment of climate change impacts on water resources of the Purus Basin in the southwestern Amazon
R Dalagnol, LS Borma, P Mateus, DA Rodriguez
Acta Amazonica 47, 213-226, 2017
252017
Mapping precipitable water vapor time series from Sentinel-1 interferometric SAR
P Mateus, J Catalão, G Nico, P Benevides
IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1373-1379, 2019
232019
HGPT2: an ERA5-based global model to estimate relative humidity
P Mateus, VB Mendes, SM Plecha
Remote Sensing 13 (11), 2179, 2021
202021
Social Impact Assessment
DC Wilson, P Antunes, G Baptista, K Bruckmeier, J Gomes, N Franco, ...
192004
Assessment of two techniques to merge ground-based and TRMM rainfall measurements: a case study about Brazilian Amazon Rainforest
P Mateus, LS Borma, RD da Silva, G Nico, J Catalão
GIScience & Remote Sensing 53 (6), 689-706, 2016
162016
Continuous multitrack assimilation of Sentinel‐1 precipitable water vapor maps for numerical weather prediction: How far can we go with current InSAR data?
P Mateus, PMA Miranda, G Nico, J Catalao
Journal of Geophysical Research: Atmospheres 126 (3), e2020JD034171, 2021
132021
A new unconstrained approach to GNSS atmospheric water vapor tomography
PMA Miranda, P Mateus
Geophysical Research Letters 48 (17), e2021GL094852, 2021
102021
Using InSAR data to improve the water vapor distribution downstream of the core of the South American Low‐Level Jet
P Mateus, PMA Miranda
Journal of Geophysical Research: Atmospheres 127 (7), e2021JD036111, 2022
92022
Soil moisture estimation using atmospherically corrected C-band InSAR data
NC Mira, J Catalão, G Nico, P Mateus
IEEE Transactions on Geoscience and Remote Sensing 60, 1-9, 2021
92021
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