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Detalhes Referência

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors

Participantes na publicação
Pedro Benevides (Author)
Joao Catalao (Author)
Dep. Engenharia Geográfica, Geofísica e Energia
IDL
Giovanni Nico (Author)

Data de Publicação
2019-04-23

Suporte
Remote Sensing

Identificadores da Publicação
ISSN - 2072-4292

Editora
MDPI AG

Volume
11
Fascículo
8

Página Inicial
966

Identificadores do Documento
DOI - https://doi.org/10.3390/rs11080966
URL - http://dx.doi.org/10.3390/rs11080966

Identificadores de Qualidade
SCIMAGO Q1 (2019) - 1.422 - Earth and Planetary Sciences (miscellaneous)
SCOPUS Q1 (2019) - 6.1 - General Earth and Planetary Sciences


Exportar referência

APA
Pedro Benevides, Joao Catalao, Giovanni Nico, (2019). Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors. Remote Sensing, 11, ISSN 2072-4292. eISSN . http://dx.doi.org/10.3390/rs11080966

IEEE
Pedro Benevides, Joao Catalao, Giovanni Nico, "Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors" in Remote Sensing, vol. 11, 2019. 10.3390/rs11080966

BIBTEX
@article{39498, author = {Pedro Benevides and Joao Catalao and Giovanni Nico}, title = {Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors}, journal = {Remote Sensing}, year = 2019, volume = 11 }