Post on 16-Jul-2020
USDA Forest Service, Remote Sensing Applications Center, FSWeb: http://fsweb.rsac.fs.fed.us
WWW: http://www.fs.fed.us/eng/rsac/
Optimizing Cache Levels for High Resolution Aerial Imagery
James Monty RedCastle Resources, working onsite at
Remote Sensing Applications Center Salt Lake City, UT
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Outline
of Imagery in the forest
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I m a g e c a c h e s
How we solved the issue
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery in the Forest Service
Each National Forest has been photographed many times, some as far back as the 1930’s and ‘40’s.
1930 1950 1970 1990 2010 Future
Widespread use of Natural Color & CIR Aerial Photos and 4-band Digital in USDA Forest Service
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery in the Forest Service
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery in the Forest Service
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery Use in the Forest Service
• Capture current state
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery Use in the Forest Service
• Capture current state • Planning
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery Use in the Forest Service
• Capture current state • Planning • Harvest
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery Use in the Forest Service
• Capture current state • Planning • Harvest • Vector updates
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery Use in the Forest Service
• Capture current state • Planning • Harvest • Vector updates • Change analysis
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery Use in the Forest Service
• Capture current state • Planning • Harvest • Vector updates • Change analysis • Image derived products
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery Use in the Forest Service
forest-atlas.fs.fed.us
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Imagery Use in the Forest Service
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Challenge in High Res Imagery
Typical user views:
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Image Server caches
• Analogous to reduced resolution layers.
• Image tiles delivered to user’s computer.
• Improve redraw rate in revisited locations.
Graphic :ESRI training
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Image Server caches
L19 1:1,128
L18 1:2,257
L17 1:4,514
L16 1:9,028
L15 1:18,056
1:13,542
1:6,771
1:3,386
1:1,693
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
The issue For resource photography, service caches have poor appearance at large scales
Cached Dynamic
6 inch imagery; L17 cache
L19 1:1,128
L18 1:2,257
L17 1:4,514
L16 1:9,028
L15 1:18,056
1:13,542
1:6,771
1:3,386
1:1,693
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
The issue
30 cm imagery; L17/L18 cache break
1:1700 1:1680
L19 1:1,128
L18 1:2,257
L17 1:4,514
L16 1:9,028
L15 1:18,056
1:13,542
1:6,771
1:3,386
1:1,693
For resource photography, service caches have poor appearance at large scales
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Potential Solutions
Just throw more cache levels at it - Most caches go to L17 - Add L18 and L19 Create our own pixel sizes/scales at finer cache levels
L19 1:1,128
L18 1:2,257
L17 1:4,514
L16 1:9,028
L15 1:18,056
1:13,542
1:6,771
1:3,386
1:1,693
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Developing New Cache Levels
Default scale levels are factored at 0.5
Looked into a variety of new factors from 0.6 to 0.8
Level Scale (1:)
Pixel (m)
15 18056 4.77
16 9028 2.39
17 4514 1.19
18 2257 0.59
19 1128 0.29
20 --- ---
21 --- ---
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Developing New Cache Levels
Current levels (0.5)
Level Scale (1:)
Pixel (m)
15 18056 4.77
16 9028 2.39
17 4514 1.19
18 2257 0.59
19 1128 0.29
20 --- ---
21 --- ---
Level Scale (1:)
Pixel (m)
15 18056 4.77
16 12639 3.34
17 8847 2.34
18 6193 1.64
19 4335 1.15
20 3035 0.80
21 2124 0.56
Option 1 (0.700)
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Developing New Cache Levels
Current levels (0.5)
Level Scale (1:)
Pixel (m)
15 18056 4.77
16 9028 2.39
17 4514 1.19
18 2257 0.59
19 1128 0.29
20 --- ---
21 --- ---
Level Scale (1:)
Pixel (m)
15 18056 4.77
16 11736 3.11
17 7629 2.02
18 4959 1.31
19 3223 0.85
20 2095 0.55
21 1362 0.36
Option 2 (0.65)
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Developing New Cache Levels
Improvement at the break
L19 1:3,574
L18 1:5,358
L17 1:8,033
L16 1:12,043
L15 1:18,056
1:14,896
1:9,683
1:6,294
1:4,091
1:2,659
1:1,728
L20 1:2,383
L21 1:1,589
30 cm imagery; L20/L21 cache break
1:1720 1:1740
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Developing New Cache Levels
L19 1:3,574
L18 1:5,358
L17 1:8,033
L16 1:12,043
L15 1:18,056
1:14,896
1:9,683
1:6,294
1:4,091
1:2,659
1:1,728
L20 1:2,383
L21 1:1,589
Easier to find the insects
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Takeaways
» Finding that ArcGIS for Server is more flexible than the older server version
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Takeaways
» Finding that ArcGIS for Server is more flexible than the older server version
» Don’t just accept the defaults; experiment
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Takeaways
» Finding that ArcGIS for Server is more flexible than the older server version
» Don’t just accept the defaults; experiment » That said, only frustration: cache levels
and AGOL
USDA Forest Service, Remote Sensing Applications Center, http://fsweb.rsac.fs.fed.us
Takeaways
» Finding that ArcGIS for Server is more flexible than the older server version
» Don’t just accept the defaults; experiment » That said, only frustration: cache levels
and AGOL » Questions or issues? Wondering about
what others have tried or seen? Hit up the user community. (GeoNet)
USDA Forest Service, Remote Sensing Applications Center, FSWeb: http://fsweb.rsac.fs.fed.us
WWW: http://www.fs.fed.us/eng/rsac/
Comments/Questions?
Optimizing Cache Levels for High Resolution Aerial Imagery
“Paper UC755”