Optimizing Cache Levels for High Resolution Aerial Imagery
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1 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, FSWeb: WWW:
2 Outline of Imagery in the forest Challenges Image caches How we solved the issue takeaways
3 Imagery in the Forest Service Each National Forest has been photographed many times, some as far back as the 1930 s and 40 s. Widespread use of Natural Color & CIR Aerial Photos and 4-band Digital in USDA Forest Service Future
4 Imagery in the Forest Service
5 Imagery in the Forest Service
6 Imagery Use in the Forest Service Capture current state
7 Imagery Use in the Forest Service Capture current state Planning
8 Imagery Use in the Forest Service Capture current state Planning Harvest
9 Imagery Use in the Forest Service Capture current state Planning Harvest Vector updates
10 Imagery Use in the Forest Service Capture current state Planning Harvest Vector updates Change analysis
11 Imagery Use in the Forest Service Capture current state Planning Harvest Vector updates Change analysis Image derived products
12 Imagery Use in the Forest Service forest-atlas.fs.fed.us
13 Imagery Use in the Forest Service
14 Challenge in High Res Imagery Typical user views:
15 Image Server caches Analogous to reduced resolution layers. Image tiles delivered to user s computer. Improve redraw rate in revisited locations. Graphic :ESRI training
16 Image Server caches L15 1:18,056 L16 1:9,028 L17 1:4,514 L18 1:2,257 L19 1:1,128 1:13,542 1:6,771 1:3,386 1:1,693
17 The issue For resource photography, service caches have poor appearance at large scales L15 1:18,056 1:13,542 L16 1:9,028 L17 1:4,514 L18 1:2,257 L19 1:1,128 1:6,771 1:3,386 1:1,693 Cached Dynamic 6 inch imagery; L17 cache
18 The issue For resource photography, service caches have poor appearance at large scales L15 1:18,056 1:13,542 L16 1:9,028 L17 1:4,514 L18 1:2,257 L19 1:1,128 1:6,771 1:3,386 1:1,693 1:1680 1: cm imagery; L17/L18 cache break
19 Potential Solutions Just throw more cache levels at it - Most caches go to L17 - Add L18 and L19 L15 1:18,056 L16 1:9,028 L17 1:4,514 1:13,542 1:6,771 1:3,386 Create our own pixel sizes/scales at finer cache levels L18 1:2,257 L19 1:1,128 1:1,693
20 Ideal Cache Level Calculation kk m=0.13* nn=1 (ff kk ) = aa 0 + nn=1 aa nn cos kkππππ LL + bb nn sin kkππππ LL m = multiplier used k = scale L = maximum scale factor x = minimum scale factor a 0 = initial number of cache levels a n = the number of days in the month of acquisition times the sun angle divided by the AGL of the plane. b n = magenta
21 Developing New Cache Levels Default scale levels are factored at 0.5 Level Scale (1:) Pixel (m) Looked into a variety of new factors from 0.6 to 0.8
22 Developing New Cache Levels Current levels (0.5) Level Scale (1:) Pixel (m) Option 1 (0.700) Level Scale (1:) Pixel (m)
23 Developing New Cache Levels Current levels (0.5) Level Scale (1:) Pixel (m) Option 2 (0.65) Level Scale (1:) Pixel (m)
24 Developing New Cache Levels Improvement at the break L15 1:18,056 1:14,896 L16 1:12,043 L17 1:8,033 L18 1:5,358 L19 1:3,574 1:9,683 1:6,294 1:4,091 1:2,659 1:1720 1: cm imagery; L20/L21 cache break L20 1:2,383 1:1,728 L21 1:1,589
25 Developing New Cache Levels Easier to find the insects L15 1:18,056 1:14,896 L16 1:12,043 L17 1:8,033 L18 1:5,358 L19 1:3,574 L20 1:2,383 1:9,683 1:6,294 1:4,091 1:2,659 1:1,728 L21 1:1,589
26 Takeaways» Finding that ArcGIS for Server is more flexible than the older server version
27 Takeaways» Finding that ArcGIS for Server is more flexible than the older server version» Don t just accept the defaults; experiment
28 Takeaways» Finding that ArcGIS for Server is more flexible than the older server version» Don t just accept the defaults; experiment» That said, one frustration: cache levels and AGOL
29 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)
30 Optimizing Cache Levels for High Resolution Aerial Imagery Paper UC755 Comments/Questions? USDA Forest Service, Remote Sensing Applications Center, FSWeb: WWW:
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