Custom Query (432 matches)
Results (148 - 150 of 432)
| Ticket | Resolution | Summary | Owner | Reporter |
|---|---|---|---|---|
| #359 | fixed | EU10/03 & EUFAR10/01 (AIMWETLAB), flight day 232b/2010, Aimwetlab (Kis Balaton) | knpa | iopa |
| Description |
Data location: ~arsf/arsf_data/2010/flight_data/hungary/EU10_03-2010_232b_Aimwetlab_Kis_Balaton Data arrived from ARSF via SATA disk Q on 15/09/2010. Scientific objective: Lake Balaton provides an ideal area for testing emerging algorithms on retrieval of in-water constituents and on mapping bloom-forming cyanobacteria using in-situ radiometric, airborne and satellite data. Priority: a5 - the data set as a whole is listed as a5 due to it being part of EU10/03, however the PI of EU10/03 has lowered the LiDAR priority to a4m, and therefore LiDAR stands with a priority of a4h due to being part of EUFAR10/01. PI: A. Tyler (EU10/03) & A. Zlinszky (EUFAR10/01) When data is processed it should be dispatched to both PIs individually for their respective projects. Sensors:
|
|||
| #358 | fixed | EU10/03 & EUFAR10/01 (AIMWETLAB), flight day 229b/2010, Kis Balaton | knpa | iopa |
| Description |
Data location: ~arsf/workspace/EU10_03-2010_229b_Kis_Balaton Data arrived from ARSF via SATA disk Q on 15/09/2010. Scientific objective: Lake Balaton provides an ideal area for testing emerging algorithms on retrieval of in-water constituents and on mapping bloom-forming cyanobacteria using in-situ radiometric, airborne and satellite data. Priority: a5 - the data set as a whole is listed as a5 due to it being part of EU10/03, however the PI of EU10/03 has lowered the LiDAR priority to a4m, and therefore LiDAR stands with a priority of a4h due to being part of EUFAR10/01. PI: A. Tyler (EU10/03) & A. Zlinszky (EUFAR10/01) When data is processed it should be dispatched to both PIs individually for their respective projects. Sensors:
|
|||
| #356 | fixed | EUFAR10/03 (A.NEW), flight day 196/2010,Lisbon | knpa | ella |
| Description |
Data location: ~arsf/arsf_data/2010/flight_data/western_europe/EUFAR10_03-2010_196_Lisbon Data arrived from ARSF via network transfer on 2nd/08/2010. Scientific objectives: Objective 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 hyper-spectral airborne and in-situ data for estimating the concentrations of the water constituents; 1.2. | Migration of the developed algorithms into the satellite workflow. Priority: a4h PI: Jose da Silva Sensors:
|
|||