Rainfall nowcasting from multisatellite passive-sensor images using a recurrent neural network
- Author
- SILVIO MARZANO, Frank1 2 ; RIVOLTA, Giancarlo1 2 ; COPPOLA, Erika3 ; TOMASSETTI, Barbara3 ; VERDECCHIA, Marco3
[1] Department of Electronic Engineering, University of Rome La Sapienza, 00184 Rome, Italy
[2] CETEMPS Center of Excellence, University of L'Aquila, 67010 L'Aquila, Italy
[3] CETEMPS Center of Excellence, University of L'Aquila, 67041 L'Aquila, Italy - Source
IEEE transactions on geoscience and remote sensing. 2007, Vol 45, Num 11, pp 3800-3812, 13 p ; 2 ; ref : 30 ref
- CODEN
- IGRSD2
- ISSN
- 0196-2892
- Scientific domain
- Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Telecommunications
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Neural network (NN) nowcasting methods passive sensors precipitation retrieval satellite remote sensing
- Keyword (fr)
- Algorithme Erreur Hyperfréquence Imagerie Luminance énergétique Méthodologie Orbite satellite Pluie Projet Précipitation atmosphérique Précision Prévision Radiométrie Rayonnement IR Réseau neuronal Tempête Traitement donnée Télédétection spatiale Radiomètre Satellite géostationnaire Europe Sud Europe
- Keyword (en)
- algorithms errors microwaves imagery radiance methodology satellite orbit rainfall projects atmospheric precipitation accuracy prediction radiometry infrared rays neural networks storms data processing Space remote sensing Southern Europe Europe
- Keyword (es)
- Algoritmo Error Imaginería Metodología Lluvia Proyecto Precipitación atmosférica Precisión Previsión Rayos IR Red neuronal Tempestad Tratamiento datos Teledetección espacial Europa Sur Europa
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19211472
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TGRS.2007.903685 
https://dx.doi.org/10.1109/TGRS.2007.903685
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