Change in Savanna Land Cover in the Oak Openings Region of Northwest Ohio 1984-2000 by Elizabeth A. Mather Abstract Introduction Data Description Methodology Results Conclusions/Future Directions References Elizabeth A. Mather Graduate Student Department of Geography & Planning University of Toledo [email protected] go back Change in Savanna Land Cover in the Oak Openings Region of Northwest Ohio 1984-2000 Abstract The Oak Openings Region of Northwest Ohio is a unique ecosystem harboring a number of rare and endangered plant and animal species. Many of these plants and animals rely on savanna habitats. The degradation of this ecosystem has had a significant impact on these species. In recent years, there has been an effort not only to conserve this ecosystem but also to restore degraded areas within it. This study seeks to evaluate the change in savanna coverage within the Oak Openings from 1984 to 2000 by analyzing Landsat satellite data. To evaluate this change, I performed two land cover classifications (one of 1984 and one of 2000). I then did a change detection highlighting the areas where savanna coverage has changed. This research show a 10% increase in savanna cover from July 13,1984 to July 1, 2000. This was done by performing hard classifications. In the future I will be evaluating the change in savanna cover though the use of fuzzy classifications. Index Introduction Data Methodology Results Conclusions References Change in Savanna Land Cover in the Oak Openings Region of Northwest Ohio 1984-2000 Introduction What is the Oak Openings? The Oak Openings Region of Northwest Ohio in present day, is located southwest of Toledo in Lucas, Henry, and Fulton Counties (TNC, 1997). It covers between 130 (Brewer et al., 1993) and 160 square miles (Leach et al., 1995) and is roughly 40 miles long by 5 miles wide. Historically, the area was larger, covering up to 300 square miles and reaching as far as Detroit, MI to the north and into Wood County to the south (TNC, 1997). The term oak openings is another word for oak savanna. R. Henderson is quoted from a 1995 publication of the Wisconsin Department of Natural Resources as describing the North American Midwestern oak savanna as follows: Fortunately for us in the Midwest, the term “savanna” has a relatively narrow definition. Here it is generally used to describe an ecosystem that was historically part of a larger complex bordered by the prairies of the west and the deciduous forests of the east. This complex was a mosaic of community types that represented a continuum from prairie to forest. Savannas were the communities in the middle of this continuum. The mosaic was maintained by frequent fires and possibly by large ungulates such as bison and elk (Kline, 1997). In Northwest Ohio, the Oak Openings are found on a sand belt deposited as beach ridges formed by post glacial lakes (Lakes Warren I, II, III, and Lake Wayne) about 12,700 years ago (TNC, 1997). The ecosystem, which has formed on this sand belt, makes the region unique. The Oak Openings is currently home to one third of all Ohio endangered plant species including among others, prickly pear cactus (Opuntia humifusa), Hairy pinweed (Lechea villosa), and Canada frostweed (Helianthemum canadense) (Leach et al., 1995). The variety of ecosystems within the region creates the diversity of habitats that allow such large numbers of endangered species to exist in such a small area. “Prior to EuroAmerican settlement, they (the Oak Openings) consisted of 43% oak savanna (4-43 trees/hectare), 27% wet prairie (<1 tree/hectare), 23% oak woodland (44+ tress/hectare) and 6.7% oak barrens (1-3 trees per hectare) (Brewer et al., 1993).” “The Oak Openings, however, has persisted as one of the few landscape scale oak savanna/prairie complexes left in the Midwest (TNC, 1997).” Up to 30 million acres of oak savanna was once spread throughout the Midwest (class notes, 12/04/00). In 1985 a survey of high-quality oak savanna estimated that only 0.02 percent of the original oak savanna community (from presettlement time) remained (Leach et al., 1995). The two main processes that maintained the Oak Openings of Northwest Ohio were the impermeable glacial till topped by sandy soil (which discouraged typical surface drainage patterns) and fire. These two processes worked together to discourage woody vegetation (TNC, 1997). When Euro-American settlers moved into the region they altered the hydrologic structure and suppressed fire thereby affecting the ecosystem functions in the region. What is a savanna? Savannas (Midwestern oak savannas) lie within the continuum of land cover from prairie to forest. Below is a diagram and definitions from the book, A Tallgrass Prairie Restoration Handbook (see references). Prairie: a fire-maintained natural community dominated by grasses and with few or no trees Savanna: a fire-maintained natural community dominated by grasses or sedges but with scattered fire-tolerant species of trees Woodland: a fire-maintained natural community with a grassy turf dominated by trees Forest: a closed-canopy, wooded natural community that is not dependent on frequent fire. There are typically one or more layers of shade-tolerant trees or shrubs below the canopy trees and no grassy turf Below is a historical map of the Oak Openings. It primarily shows Lucas County, Ohio but it indicates how the region extends up into Monroe County, Michigan and down into Fulton and Henry Counties, Ohio. Index Abstract Data Methodology Conclusions References Change in Savanna Land Cover in the Oak Openings Region of Northwest Ohio 1984-2000 Data Landsat 5 Thematic Mapper 30 meter spatial resolution 7 spectral bands The primary data used in this study is remotely sensed data. I have analyzed two Landsat images. One from July 13, 1984 and another from July 1, 2000. The 1984 image is a Landsat 5 Thematic Mapper image. It has a spatial resolution of 30 meters and seven spectral bands. The 2000 image is a Landsat 7 Enhanced Thematic Mapper image. It Landsat 7 30 met 7 also has a spatial resolution of 30 meters and I used seven spectral bands which corresponded to the seven Landsat 5 spectral bands. Some data preparation was necessary before I could begin classifying and analyzing these images. I had to georectify the 1984 image to the 2000 image. It was a systematic georectification error and therefore fairly easy to correct. I chose 35 ground control points to perform the georectification. Because the 1984 image was just slightly shifted from the position of the 2000 image, there was little error after georectification. I also needed to subset the image to make it easier to analyze. I did that by converting an ArcView shapefile into an AOI (area of interest) within Erdas Imagine. I then used to AOI to subset the image. As you can see in the 2000 image above, there are some popcorn cumulus clouds that could cause classification problems. Luckily, most of the clouds are outside my area of interest (the Oak Openings). You can see the Oak Openings fairly clearly in both images because of the large number of trees which are present. In the false color infrared images above, the trees and other vegetation appear in red. I also used a digital orthophoto of Lucas county (1997) (ARIES CD) as a reference when I did the accuracy assessment. Index Abstract Introduction Methodology Conclusions References Change in Savanna Land Cover in the Oak Openings Region of Northwest Ohio 1984-2000 Methodology Steps in Data Processing: 1. Obtain data 2. Delineate the Oak Openings Boundary 1. Defined the boundary based on sandy soils - from Ohio GIMS data 2. Created a polygon in ArcView to use as and AOI (area of interest) in Erdas Imagine - I then performed the land cover classification within the boundary 3. Locate good savanna sites to use as training sets 1. Talked to Gary Haase at the Nature Conservancy's Kitty Todd Preserve 2. Consulted the 1997 digital orthoquad of Lucas County 3. Performed an unsupervised classification 1. This allowed me to identify 15 spectrally distinct classes in the 2000 image to use for training sets in the supervised classification 1984 Unsupervised Classification 2000 Unsupervised Classification 4. Create the training sets 1. Located Kitty Todd preserve and the savanna areas within it on the Landsat image and on the aerial photo 2. Performed an unsupervised classification using 50 classes to identify other areas with similar spectral signatures - see links above 5. Run the classification on each image 1984 Supervised Classification 2000 Supervised Classification 6. Aggregate the classes into more basic classes 1984 Final Classification 2000 Final Classification 7. Evaluate the validity of the classification 1. Chose 50 stratified random points per land cover class (except for water and clouds - for each of those I chose only 20 points to prevent them from biasing my accuracy assessment 2. Compared the classification to the Landsat images themselves as well at to the 1997 digital orthoquad (only the 2000 classification) determining whether each pixel was correctly classified. 1984 with Savanna Class Unclassified Water Forest Savanna Agriculture/Grass Residential Urban/Tran Unclassified Water Forest Savanna Agriculture/Grass Residential Urban/Transportation 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 50 17 1 0 0 0 0 0 30 0 0 0 0 0 0 3 46 2 10 0 0 0 0 1 48 0 0 0 0 0 2 0 40 Column Total 0 20 68 30 61 49 42 Class Producer's Accuracy (omission) Water 100% Forest 73.53% Savanna 100.00% Agriculture/Grass 75.41% Residential 97.96% Urban/Transportation 95.24% User's Accuracy (commission) 100% 100% 60% 92% 96% 80% Overall Classification Accuracy 86.67% 1984 without Savanna Class Unclassified Water Forest Agriculture/Grass Residential Urban/Transportation Unclassified Water Forest Agriculture/Grass Residential Urban/Transportation 0 0 0 0 0 0 0 20 0 0 0 0 0 0 50 1 0 0 0 0 0 46 2 10 0 0 0 1 48 0 0 0 0 2 0 40 Column Total 0 20 51 58 49 42 Class Producer's Accuracy User's Accuracy (omission) (commission) Water Forest Agriculture/Grass Residential Urban/Transportation 100% 98.04% 79.31% 97.96% 95.24% 100% 100% 92% 96% 80% Overall Classification Accuracy 92.73% 2000 with Savanna Classes Unclassified Water Forest Savanna Agriculture/Grass Residential Urban Cloud/C Shadow Unclassified Water Forest Savanna Agriculture/Grass Residential Urban Cloud/Cloud Shadow 0 0 0 0 0 0 0 0 20 0 0 0 0 1 0 0 50 12 3 0 0 0 0 0 21 1 1 0 0 0 0 17 48 1 10 0 0 0 2 1 48 4 0 0 0 0 0 1 32 0 0 0 0 0 1 4 0 3 0 0 0 0 0 17 Column Total 0 24 65 23 76 55 33 22 Classes Producer's Accuracy (omission) Water 83.33% Forest 76.92% Savanna 91.30% Agriculture/Grass 63.16% Residential 87.27% Urban 96.97% Cloud/Cloud Shadow 77.27% Overall Classification Accuracy User's Accuracy (commission) 100% 100% 40.38% 90.57% 92.31% 63% 85% 79.19% 2000 without Savanna Classes Unclassified Water Forest Agriculture/Grass Residential Urban Cloud/Cloud Row Shadow Tota Unclassified Water Forest Agriculture/Grass Residential Urban Cloud/Cloud Shadow 0 0 0 0 0 0 0 20 0 0 0 1 0 0 50 3 0 0 0 0 0 49 1 10 0 0 0 1 48 4 0 0 0 0 1 32 0 0 0 0 1 4 0 20 50 53 51 51 0 3 0 0 0 0 17 20 Column Total 0 24 53 60 53 33 22 245 Classes Water Forest Agriculture/Grass Residential Urban Cloud/Cloud Shadow Producer's Accuracy User's Accuracy (omission) (commission) 83.33% 94.34% 81.67% 90.57% 96.97% 77.27% 100% 100% 92.45% 92.31% 62.75% 85% Overall Classification Accuracy 87.80% 8. Run a change analysis 1. Before doing this it was necessary to aggregate the classes again so that I was performing the change analysis on one class at a time. This allowed me to see where each class decreased in land area, remained the same or increased. 2. I used the Change Detection Model within Erdas Imagine to perform this. Change in Savanna Change in Forest Change in Forest & Savanna Change in Agriculture Change in Urban & Residential 9. Evaluate the change in savanna coverage for NW Ohio from 1984-2000 Index Abstract Introduction Data Results Conclusions References Change in Savanna Land Cover in the Oak Openings Region of Northwest Ohio 1984-2000 Results Savanna has increased 10% Forest has decreased 2.33% Savanna & Forest combined have increased 7.8% Agriculture/Grass has decreased 8.27% Residential has decreased 3.99% Urban/Transportation has increased 3.66% The decrease in forest cover could be due, in part, to the increase in savanna cover. When savanna and forest cover were combined, they show an overall increase in cover. The increase in savanna cover is due in part to the decrease in agriculture. The decrease in residential appears unusual in a region that is suffering from urban sprawl but that may be due to the maturation of trees within older neighborhoods as well as possible misclassification of residential as savanna. The clouds in the 2000 image may also have affected these results. Index Abstract Introduction Data Methodology Conclusions References Change in Savanna Land Cover in the Oak Openings Region of Northwest Ohio 1984-2000 Conclusions/Future Directions There are a number of things I would like to do to improve this study in the future. I will be performing a fuzzy classification of the Oak Openings. This would more accurately classify savanna and forest due to the continuous nature of the cover types. Another way I could improve this study is through the use of more in situ data collection both for creating more accurate training sets as well as for the accuracy assessment. It is very difficult to distinguish savanna cover from forest cover from the Landsat images visually so the accuracy assessment of the 1984 image may be particularly weak. Obtaining aerial photos for 1984 would greatly aid both training set selection as well as accuracy assessment. Index Abstract Introduction Data Methodology Results References Change in Savanna Land Cover in the Oak Openings Region of Northwest Ohio 1984-2000 References Brewer, L.G., Grigore, M.T. (1993). Restoring Oak Savannas in Northwest Ohio – Monitoring the Progress. Proceedings of the Midwest Oak Savanna Conference 1993 Chicago. http://www.epa.gov/grtlakes/oak/oak93/brewer.htm Dobson, A.P., Bradshaw, A.D., Baker, A.J.M. (1997). Hopes for the Future: Restoration Ecology and Conservation Biology. Science 227: 515-522. Kline, V.M. (1997). Orchards of Oak and a Sea of Grass. The Tallgrass Restoration Handbook for Prairies, Savannas, and Woodlands. Island Press, Washington, D.C. Leach, M.K., Ross, L. (1995) Midwest Oak Ecosystems Recovery Plan: A Call to Action. 1995 Midwest Oak Savanna and Woodland Ecosystem Conference. http://www.epa.gov/grtlakes/oak/oak95/call.htm The Nature Conservancy (1997) Oak Openings Site Conservation Plan. U.S. Environmental Protection Agency Webpage. http://www.epa.gov/grtlakes/ecopage/oakopen.html Packard, S., Mutel, C. (1997) The Tallgrass Restoration Handbook for Prairies, Savannas, and Woodlands. Island Press, Washington, D.C. Index Abstract Introduction Data Methodology Results Conclusions
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