Aircraft MSS data registration and vegetation classification for wetland change detection
- Other title
- Enregistrement des données du matériel MSS embarqué dans un avion et classification de la végétation pour la détection de variation en terrain humide (fr)
- Author
- CHRISTENSEN, E. J1 ; JENSEN, J. R; RAMSEY, E. W; MACKEY, H. E. JR
[1] EG & G Energy Measurements inc., Las Vegas NE 89125, United States - Source
International journal of remote sensing (Print). 1988, Vol 9, Num 1, pp 23-38 ; Draft , Illustration , Table ; ref : 2 p
- CODEN
- IJSEDK
- ISSN
- 0143-1161
- Scientific domain
- Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Oceanography
- Publisher
- Taylor and Francis, Abingdon
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Caroline du Sud Classification Milieu humide Méthode aéroportée Rivière Savannah Saisie donnée Télédétection multispectrale Végétation Amérique du Nord Amérique Etats Unis
- Keyword (en)
- South Carolina Classification Humid environment Airborne methods Savannah River Data acquisition Multispectral analysis Multispectral remote sensing Vegetation America North America United States
- Keyword (es)
- Carolina del Sur Clasificación Medio húmedo Método aerotransportado Río Savannah Toma dato Teledetección multiespectral Vegetación America del norte America Estados Unidos
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01K General geology
- Discipline
- Earth sciences
- Origin
- BRGM
- Database
- PASCAL
- INIST identifier
- 7572814
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
10.1080/01431168808954834 
https://dx.doi.org/10.1080/01431168808954834
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