Titre de série :	NOAA Technical Memorandum NESS, 62
Titre :	A comparaison of infrared imagery and video pictures in the estimation of daily rainfall from satellite data
Type de document :	texte imprimé
Auteurs :	Follansbee, A. W. ; Olivier, J. V.
Mention d'édition :	Department of commerce
Editeur :	Department of commerce
Année de publication :	1975
ISBN/ISSN/EAN :	CI-05539
Note générale :	An empirical method of estimating 24 h rainfall in the tropics and subtropics using both satellite video pictures and infrared imagery was tested to determine whether comparable results could be obtained. This method presented in the paper was tested for Alabama, Georgia and south Carolina for the months of july, august, and september 1973. The infrared data set provided approximately the same degree of accuracy as the video data set, and the mean of the estimates from the two data sets provided additional accuracy.
Langues :	Anglais (eng)
Mots-clés :	Comparaison  PRECIPITATIONS  Satellite  Données numérisées  Image infrarouge  Image vidéo
Index. décimale :	551.5 Météorologie
Résumé :	An empirical method of estimating 24 h rainfall in the tropics and subtropics using both satellite video pictures and infrared imagery was tested to determine whether comparable results could be obtained. This method presented in the paper was tested for Alabama, Georgia and south Carolina for the months of july, august, and september 1973. The infrared data set provided approximately the same degree of accuracy as the video data set, and the mean of the estimates from the two data sets provided additional accuracy.
Note de contenu :	An empirical method of estimating 24 h rainfall in the tropics and subtropics using both satellite video pictures and infrared imagery was tested to determine whether comparable results could be obtained. This method presented in the paper was tested for Alabama, Georgia and south Carolina for the months of july, august, and september 1973. The infrared data set provided approximately the same degree of accuracy as the video data set, and the mean of the estimates from the two data sets provided additional accuracy.

NOAA Technical Memorandum NESS, 62. A comparaison of infrared imagery and video pictures in the estimation of daily rainfall from satellite data [texte imprimé] / Follansbee, A. W. ; Olivier, J. V.  . -  Department of commerce . - Department of commerce, 1975.
ISSN : CI-05539
An empirical method of estimating 24 h rainfall in the tropics and subtropics using both satellite video pictures and infrared imagery was tested to determine whether comparable results could be obtained. This method presented in the paper was tested for Alabama, Georgia and south Carolina for the months of july, august, and september 1973. The infrared data set provided approximately the same degree of accuracy as the video data set, and the mean of the estimates from the two data sets provided additional accuracy.
Langues : Anglais (eng)

Mots-clés :	Comparaison  PRECIPITATIONS  Satellite  Données numérisées  Image infrarouge  Image vidéo
Index. décimale :	551.5 Météorologie
Résumé :	An empirical method of estimating 24 h rainfall in the tropics and subtropics using both satellite video pictures and infrared imagery was tested to determine whether comparable results could be obtained. This method presented in the paper was tested for Alabama, Georgia and south Carolina for the months of july, august, and september 1973. The infrared data set provided approximately the same degree of accuracy as the video data set, and the mean of the estimates from the two data sets provided additional accuracy.
Note de contenu :	An empirical method of estimating 24 h rainfall in the tropics and subtropics using both satellite video pictures and infrared imagery was tested to determine whether comparable results could be obtained. This method presented in the paper was tested for Alabama, Georgia and south Carolina for the months of july, august, and september 1973. The infrared data set provided approximately the same degree of accuracy as the video data set, and the mean of the estimates from the two data sets provided additional accuracy.