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Near-Real-Time Environmental Monitoring of all Australian Waters
by
Wettle, Magnus
, Heege, Thomas
, Schenk, Karin
in
Aircraft components
/ Algae
/ Algorithms
/ Australia
/ Case studies
/ Chlorophyll
/ Data processing
/ Environmental monitoring
/ Inversions
/ Landsat
/ Methods
/ MODIS
/ Modular
/ Physics
/ Plankton
/ Remote sensing
/ Satellites
/ Sensors
/ Time series
/ Water pollution
/ Water quality
2014
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Near-Real-Time Environmental Monitoring of all Australian Waters
by
Wettle, Magnus
, Heege, Thomas
, Schenk, Karin
in
Aircraft components
/ Algae
/ Algorithms
/ Australia
/ Case studies
/ Chlorophyll
/ Data processing
/ Environmental monitoring
/ Inversions
/ Landsat
/ Methods
/ MODIS
/ Modular
/ Physics
/ Plankton
/ Remote sensing
/ Satellites
/ Sensors
/ Time series
/ Water pollution
/ Water quality
2014
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Do you wish to request the book?
Near-Real-Time Environmental Monitoring of all Australian Waters
by
Wettle, Magnus
, Heege, Thomas
, Schenk, Karin
in
Aircraft components
/ Algae
/ Algorithms
/ Australia
/ Case studies
/ Chlorophyll
/ Data processing
/ Environmental monitoring
/ Inversions
/ Landsat
/ Methods
/ MODIS
/ Modular
/ Physics
/ Plankton
/ Remote sensing
/ Satellites
/ Sensors
/ Time series
/ Water pollution
/ Water quality
2014
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Near-Real-Time Environmental Monitoring of all Australian Waters
Magazine Article
Near-Real-Time Environmental Monitoring of all Australian Waters
2014
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Overview
Importantly, physics-based methods-as opposed to empirical methods-require no known information of the study area. [...]they can be applied independent of a satellite sensor (i.e., MODIS, Landsat, RapidEye or Worldview-2) or study area. Throughout the past 20 years, EOMAP and German Aerospace Center (DLR) scientists have developed a unique physics-based modular inversion and processing system (MIP), which includes all the relevant processing steps to guarantee a robust, standardized and operational retrieval of water quality parameters from satellite data.
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