Task/product

Time period/due date

Activity falls into quarter of project marked by asterisk

HE

LS

AG

AM

U-Grd

Im Ana

Sys Ana

Sys Prg

1

2

3

4

5

6

7

8

A. Study plan development

A1. Develop agenda for project initation meeting

Week 1-4

*

5

5

5

A2. Agenda for project initiation meeting

Week 4

*

A3. Project initation meeting

Week 6

*

A4. Develop draft study plan

Week 1-8

*

24

10

15

A5. Draft study plan

Week 10

*

A6. Revise study plan

Week 10-12

*

8

5

10

A7. Final study plan

Week 13

*

B. Bibliographic database

B1. Search bibliographic databases and acquire relevant articles

Month 1-5

*

*

5

5

20

B2. Scan references, compile annotations and prepare Procite database

Month 6-11

*

*

*

15

40

80

B3. Deliver Procite bibliographic database

Month 12

*

C. Development of processing strategies and tools

C1. Develop LILIFECS environment

Month 1-3

*

200

C2. Implement LILIFECS data management plan

Month 1-3

*

25

C3. LILIFECS web programming

Month 1-3

*

156

C4. LILIFECS functional

Month 3

*

C5. Ongoing data management

Month 4-15

*

*

*

*

50

C6. Develop image catalog

Month 4-6

*

25

C7. Define boundaries and sub-boundaries of study area

Month 2

*

5

10

20

C8. Develop visual classification scheme for recurrent lead patterns

Month 2-4

*

*

5

80

C9. Develop software tools for segmentation (ice and water/thin ice) based on multispectral classification and thresholding

Month 2-4

*

*

40

160

C10. Develop software tools for automated analysis of lead and landfast ice edge patterns

Month 3-6

*

*

20

320

D. Lead and fast-ice parameters from AVHRR imagery

D1. Scan GI AVHRR data archive (1999-2003) for suitable scenes, download into LILIFECS workspace

Month 2-6

*

*

10

120

160

D2. Radiance calibration and georeferencing of AVHRR scenes

Month 3-7

*

*

*

160

100

D3. Manual/semi-automated derivation of fast-ice margin from georeferenced scenes

Month 4-8

*

*

120

160

160

D4. Multispectral classification or threshold segmentation of AVHRR imagery (ice and water/thin ice) for lead detection

Month 4-8

*

*

160

160

100

D5. Automated derivation of areal fraction, length, shape and orientation of lead patterns from binarized images

Month 6-10

*

*

*

20

20

80

D6. Derive monthly and interannual summary statistics for lead parameters

Month 6-10

*

*

*

10

80

D7. Scan GI AVHRR data archive (1993-1998) for suitable scenes, download into LILIFECS workspace

Month 7-11

*

*

10

120

160

D8. Radiance calibration and georeferencing of AVHRR scenes

Month 8-12

*

*

160

100

D9. Manual/semi-automated derivation of fast-ice margin from georeferenced scenes

Month 9-13

*

*

*

120

160

160

D10. Multispectral classification or threshold segmentation of AVHRR imagery (ice and water/thin ice) for lead detection

Month 9-13

*

*

*

160

160

100

D11. Automated derivation of areal fraction, length, shape and orientation of lead patterns from binarized images

Month 11-15

*

*

20

20

80

D12. Derive monthly and interannual summary statistics for lead parameters

Month 11-15

*

*

10

80

D13. Scan GI GDC hardcopy archive for suitable AVHRR and Landsat imagery (selected months between 1975-1985), digitize imagery

Month 9-12

*

*

90

D14. Georeferencing of digitized images based on GCPs (if data quality allows)

Month 9-13

*

*

*

120

D15. Manual derivation of fast-ice margin from georeferenced scenes

Month 10-14

*

*

D16. Threshold segmentation of AVHRR imagery (ice and water/thin ice) for lead detection  (if data quality allows)

Month 10-14

*

*

D17. Automated derivation of areal fraction, length, shape and orientation of lead patterns from binarized images (if data quality allows)

Month 13-15

*

20

D18. Derive monthly and interannual summary statistics for lead parameters (if data quality allows) or classification based on criteria developed during Year 1 of study

Month 13-15

*

10

80

E. Landfast ice extent and boundary from SAR imagery

E1. Select scenes & place orders for RADARSAT data

Month 2-3, 6-7

*

*

*

50

E2. Download imagery

Month 3-4, 7-8

*

*

*

20

E3. Import raw binary data and convert

Month 3-4, 7-8

*

*

*

80

E4. Georeference each file

Month 5, 9

*

*

90

E5. Evaluate automated approaches for data processing and analysis

Month 3-4

*

*

20

F. Generation of ARCGIS shape files and gridded data (incl. metadata) from satellite products

F1. Develop project grid

Month 2

*

5

F2. Acquire supplemental data

Month 2-4

*

*

30

F3. Create ArcMap project files

Month 4

*

50

F4. Manually delineate landfast ice

Month 4-9, 10-15

*

*

*

*

200

F5. Quality control check GIS data

Month 5-10, 11-16

*

*

*

*

*

80

F6. Create Metadata for shape files and grids

Month 20

*

120

F7. Deliver ArcGIS data files to MMS, GINA, AGDC

Month 20

*

5

G. Analysis and synthesis of lead and landfast ice variability

G1. Summarize statistics of monthly and interannual and interdecadal variability in lead patterns and land-fast ice extent variations

Month 14-18

*

*

*

40

160

G2. Assemble relevant data sets of atmospheric and oceanic parameters (circulation indices, ice extent, thickness and circulation, etc.)

Month 8-12

*

*

10

160

G3. Discuss lead and landfast ice variability in the context of environmental variability and change

Month 15-19

*

*

*

80

160

G4. Prepare conference presentation and/or publication on landfast ice variability in context of climate variability

Month 15-19

*

*

*

40

40

40

320

G5. Prepare manuscript on lead patterns

Month 20-24

160

80

40

160

H. Project reports and completion