Détail de l'auteur
Auteur A. Inamdar |
Documents disponibles écrits par cet auteur (1)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
![Tris disponibles](./images/orderby_az.gif)
Land cover characterization for hydrological modelling using thermal infrared emissivities / A. French in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)
![]()
[article]
Titre : Land cover characterization for hydrological modelling using thermal infrared emissivities Type de document : Article/Communication Auteurs : A. French, Auteur ; A. Inamdar, Auteur Année de publication : 2010 Article en page(s) : pp 3867 - 3883 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] caractérisation
[Termes IGN] couvert végétal
[Termes IGN] emissivité
[Termes IGN] évapotranspiration
[Termes IGN] image infrarouge
[Termes IGN] image Terra-MODIS
[Termes IGN] image thermique
[Termes IGN] Kansas (Etats-Unis ; état)
[Termes IGN] modèle hydrographique
[Termes IGN] Oklahoma (Etats-Unis)Résumé : (Auteur) Remote sensing with multispectral thermal infrared can improve regional estimation of evapotranspiration (ET) by providing new constraints on land surface energy balance. Current models use visible and near infrared bands to obtain vegetative cover, and sometimes use thermal infrared data for land surface temperature. Together these can yield good ET estimates. However, it may be possible to do even better by using remotely sensed thermal infrared emissivity, a surface property related to fractional vegetative cover but independent of plant greenness. Emissivities derived from clear-sky Moderate Resolution Imaging Spectroradiometer (MODIS) observations obtained in 2007 over the Southern Great Plains (Oklahoma and Kansas), USA, were compared with changes in Normalized Difference Vegetation Index (NDVI) for winter wheat and grazing land. Emissivity changes were independent of NDVI and sensitive to standing canopies, regardless of growth stage or senescence. Thus emissivities were seasonally dynamic, able to detect wheat harvest timing, and helpful for modelling ET. Numéro de notice : A2010-371 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2010.483491 En ligne : https://doi.org/10.1080/01431161.2010.483491 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30565
in International Journal of Remote Sensing IJRS > vol 31 n° 14 (July 2010) . - pp 3867 - 3883[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-2010091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt