NASA Technical memorandum. The ERTS - 1 investigation (ER - 600) : ERTS - 1 forest analysis (report for period jully 1972 - june 1973) / Bryan Erb, R.

Public ISBD Titre de série : NASA Technical memorandum Titre : The ERTS - 1 investigation (ER - 600) : ERTS - 1 forest analysis (report for period jully 1972 - june 1973) Type de document : texte imprimé Auteurs : Bryan Erb, R. Mention d'édition : Lyndon B. Johnson Space Center Editeur : Lyndon B. Johnson Space Center Année de publication : 1974 ISBN/ISSN/EAN : CI-05412 Note générale : The forest analysis team of the Lyndon B. Johnson Space Center earth observations divisions conducted a year's investigation of the earth resources technology satellite (ERTS-1) multispectral data to determine the size of forest features that could be detected and to determine the suitability for making forest classification maps. The Sam Houston National Forest of Texas was used as the test site. Using conventional image interpretation an computer-aided techniques, the team was able to differentiate up to 14 classes of forest features to an accuracy ranging between 55 and 84 percent. Langues : Anglais (eng) Mots-clés : Ressource naturelle  Végétation  Classification  Forêt  Bois Index. décimale : 333.7 Ressources naturelles et énergie : classer ici les ouvrages généraux sur l'environnement Résumé : The forest analysis team of the Lyndon B. Johnson Space Center earth observations divisions conducted a year's investigation of the earth resources technology satellite (ERTS-1) multispectral data to determine the size of forest features that could be detected and to determine the suitability for making forest classification maps. The Sam Houston National Forest of Texas was used as the test site. Using conventional image interpretation an computer-aided techniques, the team was able to differentiate up to 14 classes of forest features to an accuracy ranging between 55 and 84 percent. Note de contenu : The forest analysis team of the Lyndon B. Johnson Space Center earth observations divisions conducted a year's investigation of the earth resources technology satellite (ERTS-1) multispectral data to determine the size of forest features that could be detected and to determine the suitability for making forest classification maps. The Sam Houston National Forest of Texas was used as the test site. Using conventional image interpretation an computer-aided techniques, the team was able to differentiate up to 14 classes of forest features to an accuracy ranging between 55 and 84 percent. NASA Technical memorandum. The ERTS - 1 investigation (ER - 600) : ERTS - 1 forest analysis (report for period jully 1972 - june 1973) [texte imprimé] / Bryan Erb, R.  . -  Lyndon B. Johnson Space Center . - Lyndon B. Johnson Space Center, 1974. ISSN : CI-05412 The forest analysis team of the Lyndon B. Johnson Space Center earth observations divisions conducted a year's investigation of the earth resources technology satellite (ERTS-1) multispectral data to determine the size of forest features that could be detected and to determine the suitability for making forest classification maps. The Sam Houston National Forest of Texas was used as the test site. Using conventional image interpretation an computer-aided techniques, the team was able to differentiate up to 14 classes of forest features to an accuracy ranging between 55 and 84 percent. Langues : Anglais (eng) Mots-clés : Ressource naturelle  Végétation  Classification  Forêt  Bois Index. décimale : 333.7 Ressources naturelles et énergie : classer ici les ouvrages généraux sur l'environnement Résumé : The forest analysis team of the Lyndon B. Johnson Space Center earth observations divisions conducted a year's investigation of the earth resources technology satellite (ERTS-1) multispectral data to determine the size of forest features that could be detected and to determine the suitability for making forest classification maps. The Sam Houston National Forest of Texas was used as the test site. Using conventional image interpretation an computer-aided techniques, the team was able to differentiate up to 14 classes of forest features to an accuracy ranging between 55 and 84 percent. Note de contenu : The forest analysis team of the Lyndon B. Johnson Space Center earth observations divisions conducted a year's investigation of the earth resources technology satellite (ERTS-1) multispectral data to determine the size of forest features that could be detected and to determine the suitability for making forest classification maps. The Sam Houston National Forest of Texas was used as the test site. Using conventional image interpretation an computer-aided techniques, the team was able to differentiate up to 14 classes of forest features to an accuracy ranging between 55 and 84 percent.

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