Data location: users/rsg/airborne/workspace/GB08_19-2010_154a_London_day

Data arrived from ARSF via network transfer on 08/06/2010.

Scientific objectives:

1. explore the use of airborne remote sensing (hyperspectral imaging, thermal infrared measurement and LiDAR) for paramterising models of the urban surface energy balance
2. to determine the degree of agreement between the output of such models and traditional in situ energy balance measures (which provide excellent accuracy but poor or no spatial detail)
3. to assess the thermal anisotropy of the three dimensional urban surface structure as it relates to modelling urban energy balances and observing the urban radiation balance
4. use the same data to explore patterns of urban heat island intensity that directly impact human comfort/health

Priority: a5

PI: M. J. Wooster

Sensors:

• Eagle (13/08/2010)
• Hawk (20/12/2010)
• Leica LIDAR (13/08/2010)
  • NB. Phil would like a screenshot of the joined LAS lines from this one for internal use - please ask Mike about it when you get to a LIDAR delivery.
• Photography (13/08/2010)

Data Location: /users/rsg/airborne/workspace/EU10_01-2010_178_Tharandt

This project has not been fastcopied into the repository.

Data arrived from ARSF via network transfer on 05/07/2010.

Scientific objective: 1.Key impact factors on CO2 and H2O fluxes 1.1 examine the influence of within-site elevation changes using flux tower observations, airborne LiDAR data, and ecosystem models data (Loobos) 1.2 develop an approach to allocate CO2 and H2O fluxes to specific tree species of a mixed forest (Norunda) 1.3 assess the influence of forest thinning on CO2 uptake (Norunda) 1.4 evaluate above findings and test transferability of findings (Tharandt) 1.5 investigate the impact of storm damage (Tharandt)

2. Reducing uncertainty in the upscaling of greenhouse gases

2.1. develop an approach to evaluate airborne flux measurements using flux tower data, footprint model and airborne LiDAR data (Loobos) 2.2 use airborne LiDAR data to validate GLAS/ICESat for different forest biomes, where accurate tree height and vegetation cover density will be co-located with GLAS footprints 2.3 evaluate the ability of GLAS spatial sampling density to represent the wider field site 2.4 develop an approach to model CO2 and H2O fluxes on a regional scale using GLAS/ICESat data and generate key driving parameters for land-surface models 2.5 evaluate whether regional CO2/H2O flux models driven by satellite optical data can be improved by the addition of tree height information from satellite LiDAR

Priority: a5

PI: N. Klujn Sensors: ¶

• Eagle (26/08/2010)
• Hawk (21/12/2010)
• Leica LIDAR (26/08/2010)
• Photography (27/07/2010)

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)