Data location: ~arsf/arsf_data/2010/flight_data/western_europe/EUFAR10_02-2010_200_Santander

Data arrived from ARSF via network transfer on 26/07/2010.

Scientific objectives:

1 Development of a reliable tool to estimate coastal water quality indicators by using remote sensing techniques, both airborne and satellite.

1.1. Development of a set of semi-empirical algorithms based on hyperspectral airborne and in-situ data for estimating the concentrations of the water constituents; 1.2. Migration of the developed algorithms into the satellite workflow.

2. Implementation of an automatic warning system based on satellite imagery processing;

3. Inclusion of the information obtained by means of remote sensing in the dataset used for the calibration of regional hydrodynamic models.

Priority: a4m - awaiting confirmation

PI: Castillo-Lopez

Sensors: ¶

• Eagle (21/12/2010)
• Hawk (02/02/2011)
• Leica LIDAR (21/12/2010)
• RCD Digital Photography (21/12/2010)

Data location: ~arsf/arsf_data/2010/flight_data/western_europe/EUFAR10_02-2010_199b-Santander

Data arrived from ARSF via network transfer on 26/07/2010.

Scientific objectives:

1 Development of a reliable tool to estimate coastal water quality indicators by using remote sensing techniques, both airborne and satellite.

1.1. Development of a set of semi-empirical algorithms based on hyperspectral airborne and in-situ data for estimating the concentrations of the water constituents; 1.2. Migration of the developed algorithms into the satellite workflow.

2. Implementation of an automatic warning system based on satellite imagery processing;

3. Inclusion of the information obtained by means of remote sensing in the dataset used for the calibration of regional hydrodynamic models.

Priority: a4m - awaiting confirmation

PI: Castillo-Lopez

Sensors: ¶

• Eagle (27/08/2010)
• Hawk (21/12/2010)
• Leica LIDAR (21/12/2010)
• RCD Digital photography (27/08/2010)

Data location: ~arsf/arsf_data/2010/flight_data/western_europe/EUFAR10_02-2010_199a-Santander

Data arrived from ARSF via network transfer on 26/07/2010.

Scientific objectives:

1 Development of a reliable tool to estimate coastal water quality indicators by using remote sensing techniques, both airborne and satellite.

1.1. Development of a set of semi-empirical algorithms based on hyperspectral airborne and in-situ data for estimating the concentrations of the water constituents; 1.2. Migration of the developed algorithms into the satellite workflow.

2. Implementation of an automatic warning system based on satellite imagery processing;

3. Inclusion of the information obtained by means of remote sensing in the dataset used for the calibration of regional hydrodynamic models.

Priority: a4m - awaiting confirmation

PI: Castillo-Lopez

Sensors:

• Eagle (28/08/2010)
• Hawk (21/12/2010)
• Leica LIDAR (02/02/2011)
• RCD Digital Photography (28/08/2010)