Filters: Author is Durand, D. [Clear All Filters]
Satellite Observations and Model Predictions of Toxic Algae Blooms in Coastal Waters. the 28 Int. Symp. on Rem. Sens. of envir. Cape Town 27-31 Mar, in Proc. from General Ass. EGS Nice Apr 25-29, in Proc.of 6th Int. Confer.: Rem. Sens. for Marine and Coastal Environm. Charleston SC May 1-3, in Proc. of the Oceans from Space Venice. 2000..
Satellite observations and forecasting can mitigate effects of toxic algae blooms. Proceedings of the 88th ICES Annual Science Conference, Brügge, Belgium, Int. Council for the Exploration of the Sea, ICES CM 2000/0:7, 2pp. 2000..
Monitoring and Model Predictions of Harmful Algae Blooms in Norwegian Waters. IGARSS`01, Sydney, Australia. 2001..
Satellite Observations and Model Predictions of Toxic Algae Bloom. Proceedings from Second International Conference on EuroGOOS, Rome, Italy March 10-13 1999. 1999..
Earth Science - Oceanography. In: A Century of Space Science. Vol. 2. A Century of Space Science. ; 2002. p. 1585-1622..
Estimation of Primary Production for Fisheries Management - PROOF. Proceedings from EurOCEAN 2000 - The European Conference on Marine Science and Ocean Technology, European Commission, EUR 19359. Hamburg, Germany, August 2000. 2000:43-48..
Coastal Physical and Biochemical Processes. In: Remote Sensing of the Marine Environment. Vol. 6. 3rd ed. Remote Sensing of the Marine Environment. ; 2006. p. 360. P. 179-196. Available from: https://eserv.asprs.org/eseries/staticcontent/staticpages/4578.html.
Satellite Observation in Operational Oceangraphy. Coastal Engineering. 2000;41:155-176..
Marine Information System: A tool for monitoring and prediction. In proceedings from International Symposium on Information Technology in Oceanography (ITO-98), Goa, India. 1998..
Satellite monitoring of algal blooms in Norwegian coastal waters. Doctoral Thesis No. 55. 2006..
Inter-comparison of ocean colour data products during algal blooms in the Skagerrak. International Journal of Remote Sensing [Internet]. 2007;28:569-592. Available from: http://dx.doi.org/10.1080/01431160600821044.
Optical remote sensing of shallow-water environmental parameters: a feasibility study. Remote Sensing of Environment. 2000;73:512-521..
Monitoring and simulation of water quality in coastal waters by modelling and remote sensing. Doctoral Thesis No. 44. 2000:276..
Deriving, sea-floor reflectance and water attenuation properties from hyperspectral remote sensing of shallow-waters: An inverse scheme. Proceedings of the ERIM 5th Int. conference on Remote Sensing for Marine and Coastal Environments, San Diego. 1998:1369-1376..