Estimating soil moisture using remote sensing data: A machine learning approach
- Author
- AHMAD, Sajjad1 ; KALRA, Ajay1 ; STEPHEN, Haroon1
[1] Department of Civil and Environmental Engineering, University of Nevada, 4505 Maryland Parkway, Las Vegas, NV 89154-4015, United States - Source
Advances in water resources. 2010, Vol 33, Num 1, pp 69-80, 12 p ; ref : 57 ref
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- ANN Backscatter NDV1 Remote sensing SVM Soil moisture TRMM
- Keyword (fr)
- Angle incidence Classification Coefficient corrélation Erreur Expérimentation Haute résolution Humidité sol Infiltration Modèle Pluie Problème inverse Propagation Ressource eau Régression Réseau neuronal Résistance mécanique Sol Teneur eau Théorie Télédétection Variabilité Végétation Bassin Colorado Etats Unis Amérique du Nord
- Keyword (en)
- incidence angle classification correlation coefficient errors testing high resolution soil moisture infiltration models rainfall inverse problem propagation water resources regression neural networks strength soils water content theory remote sensing variability vegetation Colorado River basin United States North America
- Keyword (es)
- Clasificación Coeficiente correlación Error Alta resolucion Humedad suelo Infiltración Modelo Lluvia Problema inverso Propagación Recurso agua Regresión Red neuronal Resistencia mecánica Suelo Contenido en agua Teoría Detección a distancia Vegetación Estados Unidos America del norte
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01N Hydrology. Hydrogeology
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 22295853
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.2009.10.008 
https://dx.doi.org/10.1016/j.advwatres.2009.10.008
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