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Lesson 3 Georeferencing Raster Images |
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Section 1 - Screen Captures of the data frames after georeferencing the images:
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Figure 1: State College DRG Data Frame |
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Figure 2: State College Map Data Frame |
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Figure 3: State College 1963 Photo Data Frame Note: In this screen capture the map units still read "Unknown" because at the time of this screen capture the data frame had not been defined. Highlighting the data frame and then picking "Properties", the data frame can be defined as the NAD_1983_StatePlane_Pennsylvania_North_FIPS_3701, as are the image and shape files within the data frame. See Figure 4 below to verify this update. |
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Figure 4: State College Photo 1963 Updated Data Frame with Projection Information
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Section 2 - RMS Error Calculation:
If the 'rule of thumb' for
georeferencing raster image files is that the RMS error be less than or
equal to one-half the side dimension, in map units, of a cell (pixel), then
my calculations are:
1 meter = 39.36 inches
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| Section 3 - RMS Error Discussion
In the three cases at hand in this lesson, we had copies of digitized maps or photos. In order to georeference these documents we need to be able to tell the GIS software what the map projection/coordinate system really is. If we do not know the projection of the original map or photo, it will be impossible to tell the GIS what is is. Further, even if we do know what the map projection is, but we do not have control points in the same coordinate system, we cannot tell the GIS what the projection/coordinate system needs to be.*
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Section 4 - What Might Limit An Ability to Arrive at a Low RMS When Georeferencing Raster Image Data
An inability to achieve a low RMS value when georeferencing raster image data can result from (1) incorrectly correlated and digitized ground control point locations in either the source or projected data due to operator error, (2) a poor choice of reference point locations, and (3) damaged or wrinkled hard copy source data. Poor eyesight, shaky hands, fatigue, lack of attention, misidentification of a control location, or just plain making a mistake when identifying the control points are the various forms of operator error that can contribute to poor RMS values. Additionally, the accuracy of the base map or the accuracy standards used when creating the original map can similarly contribute to poor RMS values. If you do not know the projection of the paper or scanned map, then you cannot be certain of the map units and cannot accurately calculate the length of the side of an image cell in order to arrive at a meaningful RMS value.
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| *Georeferencing Raster Images, Geography 484, Penn State University World Campus, https://www.e-education.psu.edu/courses/geog484/L03_cg.html, 27 October 2005. |