Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data
- Author
- SCHLERF, Martin1 ; ATZBERGER, Clement2
[1] University of Trier, Faculty of Geography/Geosciences, Remote Sensing Department, Behringstraße, 54286 Trier, Germany
[2] International Institute for Geo-Information Science and Earth Observation (ITC), P.O. Box 6, 7500 AA Enschede, Netherlands - Source
Remote sensing of environment. 2006, Vol 100, Num 3, pp 281-294, 14 p ; ref : 1 p.3/4
- CODEN
- RSEEA7
- ISSN
- 0034-4257
- Scientific domain
- Agronomy, agriculture, phytopathology; Ecology; Environment; Geology; Geophysics; Oceanography
- Publisher
- Elsevier Science, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Forest reflectance model Imaging spectrometry LAI Model inversion Neural network Structural canopy variables
- Keyword (fr)
- Boucle anticipation Capteur imagerie hyperspectral Carte Couronne Densité Extension Facteur réflexion Forêt Houppier Indice foliaire Inversion Modèle Picea abies Picea Pouvoir réflecteur Problème inverse Réseau neuronal Rétropropagation Simulation Site spécifique Sous étage Spectrométrie Statistique Tige Télédétection Végétation LAI Prétraitement Traitement image Télédétection hyperspectrale Coniferales Gymnospermae Gymnospermae Plantae Spermatophyta
- Keyword (en)
- Feedforward Hyperspectral imaging sensor maps Crown density extension Reflectance forests Tree crown Leaf area index Inversion models Picea abies Picea reflectance inverse problem neural networks Backpropagation simulation Site specificity Understory spectroscopy statistics Stem remote sensing vegetation Coniferales Gymnospermae gymnosperms Plantae Spermatophyta
- Keyword (es)
- Ciclo anticipación Sensor hiperespectral de formación de imágenes Mapa Corona Densidad Extensión Coeficiente reflexión Bosque Copa Indice foliar Inversión Modelo Picea abies Poder reflector Problema inverso Red neuronal Retropropagacíon Simulación Sitio específico Subpiso Espectrometría Estadística Tallo Detección a distancia Vegetación Coniferales Gymnospermae Gymnospermae Spermatophyta
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A03 Teledetection and vegetation maps
- Discipline
- Animal, vegetal and microbial ecology Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 17491368
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
10.1016/j.rse.2005.10.006 
https://dx.doi.org/10.1016/j.rse.2005.10.006
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