Arctic and Marine Remote Sensing Studies

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New book; Monitoring of Harmful Algal Blooms

Monitoring of Harmful Algal Blooms by Pettersson and Pozdnyakov, 2012.Monitoring of Harmful Algal Blooms by Pettersson and Pozdnyakov, 2012.The book Monitoring of Harmful Algal Blooms has recently been published by Springer- Praxis. The book build on the experience the Nansen Centers have build up during the last 25 years in use of satellite remote sensing, airborne survey, field observations and ocean ecosystem modelling in detection and monitoring of harmful algal blooms in coastal and ocean waters.

Mohamed Babiker

Research
Area of Expertise: 
geo-sciences

Remote Sensing and Geographic Information System for satellite data processing in the polar regions covering sea ice mapping, iceberg detection and glacier monitoring.

Preprocessing and noise removal from SAR Data.

Sensors Synergy for ocean studies

Arctic Shipping (https://lps19.esa.int/NikalWebsitePortal/living-planet-symposium-2019/lp...)

Employment
Research Group: 
Ocean and Sea Ice Remote Sensing
Job Position: 
Researcher
E-mail: 
Phone: 
+47 465 03 247
Cristin ID: 
399979
Mohamed Babiker

Arctic and Marine Remote Sensing Studies

Research area: 
Arctic and Marine Remote Sensing Studies
Vision

Develop, validate and apply remote sensing for use in ocean and sea ice studies, Greenland ice sheet variations, operational oceanography and climate research.

Research Description: 

Multidisciplinary research activities based on knowledge and expertise in satellite remote sensing, ocean acoustics, signal processing, electromagnetic radiation physics, sea ice physics, oceanography, boundary layer meteorology, air-sea-ice interaction and information technology for management and dissemination of satellite based information.

Develop and validate retrieval algorithms for ocean and sea ice parameters from various satellite Earth observation data, which in are used in studies of upper layer mesoscale ocean processes, air-sea-ice interaction, climate change studies and in operational oceanography.

  • To advance research and monitoring of upper ocean processes and dynamics by synergetic use of satellite, in-situ data and modelling.
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