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All photographs were in a 24 by 24-inch enlarged format, which were originally flown at a scale of 1:20,000 and collected on 10 by 10-inch negatives covering 2.84 ground miles on a side. The agencies that possessed these photos would not allow prints to leave their facilities, so a laptop computer. The agencies that possessed these photos would not allow these prints to leave their facilities, so a laptop computer and small format (8.5 by 14 in) desk scanner were used to capture the images in a digital format. Each 24 square-inch photo print was scanned into 4 images (or fewer if part of the image fell outside the study area), each spanning approximately 1 square ground mile (one PLSS section). Using a 300 dpi scanning resolution, the images had a ground pixel size of approximately 0.64 m, which allowed for down sampling at the time of rectification to match the 1 m resolution of the 1991 and 2002 data sets. This process resulted in 24 images per study year from 1941 to 1976, one for each of the 24 PLSS sections in the study area.\n\nData Preprocessing\nPrior to classification, the next objective involved pre-processing the digital aerial photography. Image geo-rectification was performed in the ERDAS Imagine software package using the Image Geometric Correction tool. Seven to ten ground control points (GCP's) per image were used to perform a second order polynomial transformation with an RMS error of 2 m or less. When resampling the imagery to 1 m ground resolution, the cubic convolution resampling method was used to maintain the spatial character of the data and avoid the jagged results characteristic of nearest neighbor resampling. The more recent historical photographs, from 1976 and 1966, were geo-rectified using the 1991 DOQQ as the reference image, while the older historical photographs from 1954 and 1941 used the newly geo-rectified 1966 imagery for reference. This shift in the reference imagery for the rectification of the older photography was done because it became increasingly difficult to identify GCP objects, such as roads and buildings, in common with the 1991 DOQQ.\nOnce rectified, the yearly data sets were still made up of multiple individual images: 24 images for the 1941, 1954, 1966 and 1976 dates; and 2 images for 1991. Before classification, it was decided that mosaicking the images together into a complete dataset would be beneficial to reduce mismatch along the edges of images during classification. ERDAS Imagine's  Mosaic tool was used to stitch all photos from each year together into a single raster dataset covering the study area. During mosaicking, images were cropped in overlapping areas, manual cut lines were drawn and feathering techniques were used to blend datasets together with the goal of reducing the visibility of seam lines. The mosaicking process resulted in six georeferenced aerial photography data sets from 1941 to 1991 with an approximate temporal interval of 10 years (Figure 2).\nAttempting to classify the entire study area for each year would have been unfeasible for several reasons. Of primary concern was the contrast difference between and within the original photographs. For example, the spectral information describing a tree object in a bright portion of the mosaic could be confused with the spectral information of a non-forest grassland object in a darker section. Also, the large amount of time required to manually check and clean up the results of the classification for the entire quad would make it difficult to break up the workflow on this project into discrete manageable pieces. For these reasons, the final preprocessing step divided up the complete mosaics into the 24 PLSS sections contained in the mosaic (Figure 3). 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