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Ticket Resolution Summary Owner Reporter
#367 invalid EUFAR10/01 (AIMWETLAB), flight day 253b/2010, Lake Balaton Peninsula anch
Description

Data location: ~arsf/workspace/EUFAR10_01-2010_235b_Lake_Balaton_Peninsula/

Data arrived from ARSF via SATA disk Q on 15/09/2010.

Scientific objectives: Mapping of species composition and stand health of shore vegetation, mapping of shore elevation and inundation structure.

Sensors:

  • Eagle
  • Hawk
  • Leica LIDAR
  • Digital Photography
#349 fixed EUFAR10/02 (AIRES-CZM), 199a/2010, Santander knpa jb362
Description

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.

  1. Implementation of an automatic warning system based on satellite imagery processing;
  1. 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)
#350 fixed EUFAR10/02 (AIRES-CZM), 199b/2010, Santander knpa jb362
Description

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.

  1. Implementation of an automatic warning system based on satellite imagery processing;
  1. 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)
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