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Image calibration to like-values in mapping shallow water quality from multitemporal data / M.A.. Islam in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 5 (May 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 5 (May 2003) . - pp 567 - 575 Titre : Image calibration to like-values in mapping shallow water quality from multitemporal data Type de document : Article/Communication Auteurs : M.A.. Islam, Auteur ; J. Gao, Auteur ; D. Neil, Auteur ; P. Bell, Auteur Année de publication : 2003 Article en page(s) : pp 567 - 575 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification dirigée [Termes IGN] étalonnage radiométrique [Termes IGN] image Landsat-TM [Termes IGN] image multitemporelle [Termes IGN] modèle stochastique [Termes IGN] qualité des eaux Résumé : (Auteur) The applicability of image calibration to likevalues in mapping water quality parameters from multitemporal images is explored. Six sets of water samples were collected at satellite overpasses over Moreton Bay, Brisbane, Australia. Analysis of these samples reveals that waters in this shallow bay are mostly TSS dominated, even though they are occasionally dominated by chlorophyll as well. Three of the images were calibrated to a reference image based on invariant targets. Predictive models constructed from the reference image were applied to estimating total suspended sediment (TSS) and Secchi depth from another image at a discrepancy of around 35 percent. Application of the predictive model for TSS concentration to another image acquired at a time of different water types resulted in a discrepancy of 152 percent. Therefore, image calibration to likevalues could be used to reliably map certain water quality parameters from multitemporal TM images so long as the water type under study remains unchanged. This method is limited in that the mapped results could be rather inaccurate if the water type under study has changed considerably. Thus, the approach needs to be refined in shallow water from multitemporal satellite imagery. Numéro de notice : A2003-084 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/S0034-4257(01)00205-X En ligne : http://dx.doi.org/10.1016/S0034-4257(01)00205-X Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22380 [article]