On quantifying agricultural and water management practices from low spatial resolution RS data using genetic algorithms: A numerical study for mixed-pixel environment
- Author
- INES, Amor V. M1 ; HONDA, Kiyoshi2
[1] International Research Institute for Climate Prediction, The Earth Institute at Columbia University, Palisades, NY 10964, United States
[2] Space Technology Applications and Research, School of Advanced Technologies, Asian Institute of Technology (AIT), P.O. Box 4, Klong Luang, 12120 Pathumthani, Thailand - Source
Advances in water resources. 2005, Vol 28, Num 8, pp 856-870, 15 p ; ref : 41 ref
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Data assimilation Genetic algorithms Low spatial resolution Mixed-pixel Remote sensing SWAP simulation model
- Keyword (fr)
- Agriculture Algorithme Atmosphère Eau surface Effet végétation Etude expérimentale Evapotranspiration Gestion ressource eau Interaction sol végétation atmosphère Mixage Modèle Pixel Résolution spatiale Simulation numérique Sol Télédétection Utilisation terrain
- Keyword (en)
- agriculture algorithms atmosphere surface water vegetation effects experimental studies evapotranspiration water resource management atmosphere-vegetation-soil interaction mixing models Pixel spatial resolution digital simulation soils remote sensing land use
- Keyword (es)
- Agricultura Algoritmo Atmósfera Agua superficie Evapotranspiración Gestión recurso agua Mezcla Modelo Pixel Simulación numérica Suelo Detección a distancia Utilización terreno
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01N Hydrology. Hydrogeology / 001E01N01 Hydrology
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14B Animal and plant ecology / 002A14B04 Synecology / 002A14B04B Terrestrial ecosystems
- Discipline
- Animal, vegetal and microbial ecology Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16862664
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.advwatres.2004.11.015 
https://dx.doi.org/10.1016/j.advwatres.2004.11.015
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