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Landsat-Based Multitemporal Land Use Classification

Introduction
Image Processing
Results
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Introduction
The Big Creek watershed is a small basin on the northern fringe of Atlanta, Georgia's vast urban sprawl (Figure 1). The area of the basin is approximately 72 square miles upstream from USGS Gage # 02335700 (Big Creek near Alphareta, GA) and is contained in three counties: Fulton, Forsyth and Cherokee. From 1980 to 2000, the population of the basin increased by 200% and the number of new businesses increased 15-fold. Increases in developed land of this magnitude are associated with concomitant increases in impervious surfaces, which have a significant effect on the hydrologic regime. Whereas "development" is often quantified in terms of population or housing statistics in a geospatial context of counties, zip codes, or other "districts," remote sensing offers an alternative means of quantifying development in a pixel- or segment-based geospatial context. Because of the magnitude of changes within Big Creek, it was selected for study using remote sensing imagery to classify land use and land cover of Big Creek. Changes in the percentage of developed land within the watershed are correlated to changes in streamflow at decadal intervals.

Big Creek watershed location.
True color image of Big Creek watershed.

Figure 1. Map showing the location of Big Creek with respect to Atlanta, GA and a "true-color" image of Big Creek watershed as viewed from space in the year 2000. Click on image for a larger version.
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Image Processing
Acquisition
Three Landsat images were acquired for the purpose of classifying land cover in the Big Creek watershed. The watershed is fairly small and is contained well within a single image. Only summertime images were acquired during the time of year when the vegetation is fully leafed out. The images acquired are identified in Table 1. None of the images collected in 1990 were cloud-free so an image from 1991 was acquired instead. Notice that each of the images were obtained from a different generation of sensor. The MSS sensor has the lowest spatial and radiometric resolution and thus limits the overall number of classes that can be satisfactorily achieved.

Table 1: Specifications for images acquired for the Big Creek classification.
Target Year Sensor Path Row Acquisition Date Resolution
1980 MSS 20 36 08/07/1980 57 m
1990 TM 19 36 09/28/1991 30 m
2000 ETM+ 19 36 04/05/2000 30 m

Georectification
The images were acquired in TIFF format with Space Oblique Mercator B projection with North American 1983 horizontal datum. All images were converted to the Universal Transverse Mercator projection using nearest neighbor resampling. The image from 1980 required additional manual processing to correctly rectify the images. Rectification accuracy was verified using Digital Line Graph data.

Atmospheric Correction
The radiance observed by a space-borne sensor is comprised of a component of energy reflected or emitted from Earth's surface as well as from scattering of energy in the atmosphere. The amount of scattering that occurs is a function of wavelength and must be assessed and explicitly removed from each image band. The atmospheric contribution to each image was removed using a modified form of the dark object subtraction technique.

Segmentation and Classification
In the preliminary classification, the decorrelation stretch images from both March and September 2001 and the tassel cap transformation image from March 2001 were used in the classification. Use of transformation products is sometimes used to reduce the information content of images to a smaller number of bands. In this case, the benefit was minimal so that the final classification was based on the six bands from the March 2001 image and bands 2, 4, and 5 from the September image (Figure 2a).

First, the image is segmented. That is, adjacent pixels with similar spectral characteristics are grouped into a segment or image object (Figure 2b). After training by the image analyst, the segments are then clustered into classes (Figure 2c). Thirteen land cover and land use classes were defined for the classification (Figure 3).

Figure 2a. True color image of a portion of the study area. True color image of a portion of the Western Corridor showing the Tennessee River at Tuscumbia, Alabama.
Figure 2b. Segmented image in which adjacent pixels have been grouped based on similar spectral characteristics. The yellow polygons delineate segments. Segmented image in which adjacent pixels have been grouped based on similar spectral characteristics.
Figure 2c. Classified image in which each segment is assigned to a land cover type. Classified image in which each segment is assigned to a land cover type.

Classification legend.
Figure 3. Classification system used in the classification of Big Creek watershed.

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Results
The annual population within Big Creek watershed was obtained from US Census data. The basin's population increased by 104% from 1980 to 1990 and by an additional 105% from 1990 to 1998 (Figure 4). During the period between 1980 and 1998, the number of new business starts increased 15-fold (Figure 4). The estimated 1998 population distribution based on Tiger census blocks is shown in Figure 5.

Classification results for Big Creek watershed are shown in Figure 6. In Figure 7, the classification is collapsed into two principle classes, Developed and Undeveloped, to highlight growth in the watershed as a result of urban sprawl on the northern fringes of Atlanta. Woodland, which comprises about 30% of the watershed, remained fairly constant between 1980 and 2000. Fields, however, either pasture and/or fallow cropland, exhibit the greatest change from about 17.6% in 1980 to 9.4% in 1990 to 3.7% in 2000. Overall, Developed Land comprises about 11.7% of the watershed in 1980 and 17.0% in 1990, but increased to 31.6% 2000. These figure correspond to a 45% increase in Developed Land during the first decade and a 86% increase during the second decade.

Population change and new business starts in Big Creek watershed 1970 - 1998.
Figure 4. Graph of the population of Big Creek from 1970 to 1998 (left), and a graph of new business starts in the watershed over the same period.

1998 population distribution in Big Creek watershed estimated for Tiger census tracts.
Figure 5. 1998 population distribution in Big Creek watershed estimated for Tiger census tracts.

Land cover classification for the Big Creek watershed in 1980, 1990, and 2000.
Figure 6. Land cover classification for the Big Creek watershed in 1980, 1990, and 2000.

Land cover classification for the Big Creek watershed in 1980, 1990, and 2000.
Figure 7. Land cover classification for the Big Creek watershed in 1980, 1990, and 2000.
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URL:
http://wwwghcc.msfc.nasa.gov/land/ncrst/landsatclass.html

Contact: Charles Laymon (charles.laymon@msfc.nasa.gov)
Page Curator: Paul J. Meyer (paul.meyer@msfc.nasa.gov)
Responsible Official: Dr. Steven J. Goodman (steven.goodman@nasa.gov)

Last modified: Thursday, December 2, 2004 16:33:20