BGS11/01, flight day 230/2012, Carlsberg

[knpa]

Data location: /users/rsg/arsf/arsf_data/2012/flight_data/greenland_iceland/BGS11_01-2012_230_Carlsberg

Data arrived from ARSF via SATA on 24/09/2012

BGS11/01 Scientific objective: unknown

BGS11/01 Priority: a4h

PI: Tapani Tukiainen

Sensors:

Camera (12/12/2012)
Eagle (12/12/2012)
Hawk (12/12/2012)
LiDAR (requested)

[edfi]

Starting processing Navigation

[tipo]

Started hyperspectral processing.

[anhi]

RCD Delivery Created

[edfi]

Delivery check in progress

[edfi]

Replying to edfi:

Delivery check in progress

Hyperspectral

[edfi]

Hyperspectral DC complete all fine

[besm]

Beginning LiDAR delivery check.

[besm]

Completed LiDAR delivery check. Two points:

• Double check resolution of the low-resolution versions of the screenshots are to the same ratio as their high-resolution counterparts.
• Many of the cliff faces have been moderately mis-classified as noise (probably due to their steepness), but also, much of the noise above water has not been classified heavily enough. Some mountain peaks have also been completely classified.

This dataset may require a lot of manual classification. (Although it may prove to be a very good dataset to develop some new automated classification methods on.) But it might be worth getting a second opinion other than mine on acceptable levels of classification & misclassification.