Biblio
Filters: Author is Pettersson, Lasse H. [Clear All Filters]
Applications of satellite earth observation data for mapping of the marine environment of the coastal zones. Extended Abstract in proceedings from the UNESCO Symposium - Teaching Integrated Coastal Zone Management - Russian Hydrometeorological Institute, St. Petersburg, May 29. - 30 (1997).
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).
NORSMAP 89 - Norwegian Remote Sensing Spectrometry for Mapping and Monitoring of Algae Blooms and Pollution. European Airborne Imaging Spectroscopy Campaign (EISAC 89) - Results, proceeding of an ESA JRC-IRSA Workshop, ESA SP-360 (1993).
Monitoring and Model Predictions of Harmful Algae Blooms in Norwegian Waters. IGARSS`01, Sydney, Australia (2001).
Radar Altimeter Sensors and Methods. Oceanographic Application of Remote Sensing (1995).
Confidential. (2005).
The use of earth observation data for monitoring biodiversity in Central America and the Caribbean. 32nd International Symposium on Remote Sensing of Environment. June 25 - 29, 2007 San José, Costa Rica. (2007).
Space for UNCBD and the DUE biodiversity project. Envisat Symposium 2007, Montreux, Switzerland, April 23-27, 2007. (2007).
Monitoring biodiversity from space: The ESA DIVERSITY project. IGARSS´09 (IEEE International Geoscience & Remote Sensing Symposium) (2009).
First report of Leptocylindrus sp. bloom in the coastal waters of Kerala (southeast Arabian Sea). Journal of Marine Biological Association of India 59, (2017).
First report of Leptocylindrus sp. bloom in the coastal waters of Kerala(southeast Arabian Sea). Journal of Marine Biological Association of India 59, (2017).
A new area-specific bio-optical algorithm for the Bay of Biscay and assessment of its potential for SeaWiFS and MODIS/Aqua data merging. International Journal of Remote Sensing 31, (2010). Abstract