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Vasco M Mantas
Vasco M Mantas
在 dct.uc.pt 的电子邮件经过验证
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引用次数
引用次数
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Google earth engine open-source code for land surface temperature estimation from the landsat series
SL Ermida, P Soares, V Mantas, FM Göttsche, IF Trigo
Remote Sensing 12 (9), 1471, 2020
4202020
Validation of TRMM multi-satellite precipitation analysis (TMPA) products in the Peruvian Andes
VM Mantas, Z Liu, C Caro, A Pereira
Atmospheric Research 163, 132-145, 2015
1852015
A machine learning approach to detecting pine wilt disease using airborne spectral imagery
MD Iordache, V Mantas, E Baltazar, K Pauly, N Lewyckyj
Remote Sensing 12 (14), 2280, 2020
742020
Plumes of discolored water of volcanic origin and possible implications for algal communities. The case of the Home Reef eruption of 2006 (Tonga, Southwest Pacific Ocean)
VM Mantas, A Pereira, PV Morais
Remote Sensing of Environment 115 (6), 1341-1352, 2011
392011
Monitoring estuarine water quality using satellite imagery. The Mondego river estuary (Portugal) as a case study
VM Mantas, A Pereira, J Neto, J Patrício, JC Marques
Ocean & coastal management 72, 13-21, 2013
272013
Morphostructural characterization of the western edge of the Huila Plateau (SW Angola), based on remote sensing techniques
FC Lopes, AJ Pereira, VM Mantas, HK Mpengo
Journal of African Earth Sciences 117, 114-123, 2016
262016
A geospatial approach to monitoring impervious surfaces in watersheds using Landsat data (the Mondego Basin, Portugal as a case study)
VM Mantas, JC Marques, AJSC Pereira
Ecological indicators 71, 449-466, 2016
242016
A web service and android application for the distribution of rainfall estimates and Earth observation data
VM Mantas, Z Liu, A Pereira
Computers & Geosciences 77, 66-76, 2015
232015
Google earth engine open-source code for land surface temperature estimation from the landsat series. Remote Sens. 12, 1471
SL Ermida, P Soares, V Mantas, FM Göttsche, IF Trigo
202020
Contribution of TRMM rainfall data to the study of natural systems and risk assessment. Cases of application in SW Angola
P Dinis, V Mantas, PS Andrade, J Tonecas, E Kapula, A Pereira, ...
Estudos do Quaternário/Quaternary Studies, 33-43, 2013
162013
Improving tropical deforestation detection through using photosynthetic vegetation time series–(PVts-β)
Y Tarazona, VM Mantas, A Pereira
Ecological indicators 94, 367-379, 2018
152018
Detection of Tree Decline (Pinus pinaster Aiton) in European Forests Using Sentinel-2 Data
V Mantas, L Fonseca, E Baltazar, J Canhoto, I Abrantes
Remote Sensing 14 (9), 2028, 2022
142022
Mapping of salt structures and related fault lineaments based on remote-sensing and gravimetric data: The case of the Monte Real salt wall (onshore west-central Portugal)
FC Lopes, AJ Pereira, VM Mantas
AAPG bulletin 96 (4), 615-634, 2012
132012
Application of Random forest classification to detect the pine wilt disease from high resolution spectral images
MD Iordache, V Mantas, E Baltazar, N Lewyckyj, N Souverijns
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
82020
Google earth engine open-source code for land surface temperature estimation from the landsat series. Remote Sens. 12 (9), 1471
SL Ermida, P Soares, V Mantas, FM Göttsche, IF Trigo
82020
Partitioning the ocean using dense time series of Earth Observation data. Regions and natural boundaries in the Western Iberian Peninsula
VM Mantas, A Pereira, JC Marques
Ecological indicators 103, 9-21, 2019
72019
Creating data tool kits that everyone can use
Z Liu, V Mantas, J Wei, M Jin, D Meyer
Eos (United States) 101 (8), 25-27, 2020
52020
Caracterização morfoestrutural do Bordo Ocidental do Planalto da Humpata (SW Angola) com recurso a técnicas de deteção remota
FC Lopes, V Mantas, A Pereira, H Mpengo
Parte: http://hdl. handle. net/10316.2/24406, 2012
52012
A detecção remota como suporte à caracterização morfo-estrutural do bordo ocidental do planalto da Huíla (SW de Angola)
H Mpengo, F Lopes, A Pereira, VM Mantas
Imprensa da Universidade de Coimbra, 2011
52011
Land surface temperature differences between natural and artificial turf sports fields as estimated from satellite: Examples from the United States and Europe
VM Mantas, G Xian
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1777 …, 2021
42021
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