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Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM + data

Author
MELAAS, Eli K1 ; FRIEDL, Mark A1 ; ZHE ZHU1
[1] Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, United States
Source

Remote sensing of environment. 2013, Vol 132, pp 176-185, 10 p ; ref : 3/4 p

CODEN
RSEEA7
ISSN
0034-4257
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Environment; Geology; Geophysics; Oceanography
Publisher
Elsevier, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Budburst Deciduous forest Landsat New England Phenology
Keyword (fr)
Arbre forestier feuillu Budget énergétique Carbone Dynamique végétation Détection Ecosystème LANDSAT Modèle Paramétrisation Phénologie Télédétection spatiale Variabilité climatique Variation climatique Variation interannuelle Variation saisonnière Végétation Massachusetts Nouvelle Angleterre Amérique du Nord Etats Unis
Keyword (en)
Hardwood forest tree Energy budget carbon Vegetation dynamics detection ecosystems Landsat models parametrization Phenology Space remote sensing climate variability climate variations Interannual variation seasonal variations vegetation Massachusetts New England North America United States
Keyword (es)
Arbol forestal frondoso Presupuesto energético Carbono Dinámica vegetación Ecosistema Modelo Fenología Teledetección espacial Variación interanual Variación estacional Vegetación Massachusetts Nueva Inglaterra America del norte Estados Unidos
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
27174712

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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