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The demand for large-scale land use and land cover (LULC) data has increased recently, especially in rapidly growing metropolitan areas. Many State, regional, and local planning agencies require up-to-date LULC information for various applications, including modeling urban growth, determining land suitability for future development, monitoring how land use changes affect the environment, understanding land use patterns, and developing policies that could encourage or discourage certain land use development.
In response to these increasing demands, the U.S. Geological Survey (USGS) began mapping
temporal LULC data for several metropolitan areas in 1996. The time periods of interest for the
LULC collection include the 1930's, 1950's, 1970's, and 1990's. The purpose for collecting the
temporal LULC data is to interpret and monitor landscape change over time.
The urban component requires greater LULC detail because the data are collected as a large-scale product. The source materials used during LULC collection are historical and current aerial
photographs, 1-meter resolution digital orthophoto quadrangles (DOQ), and 1:24,000-scale digital line
graphs (DLG). At present, the USGS is collecting temporal LULC data for the Middle Rio Grande
Basin (central New Mexico) and Front Range Infrastructure Resources (Colorado) at a minimum
mapping unit (MMU) of 2.5 acres. With an MMU of 2.5 acres, a more accurate assessment can be
made of the land surface activity for a particular region.
Historical aerial photographs for temporal LULC collection need to be at a photographic scale
larger than 1:40,000. If the USGS does not possess the necessary imagery, the historical aerial
photographs must be acquired from other government or local agencies. The USGS acquired a large
number of the historical aerial photographs from the Natural Resources Soil Conservation Service and
USGS archives. The most desired photographs for LULC collection are color or color infrared.
Aerial photographs ideally should be taken during the growing season so that vegetation land cover
classes are discernible. Color imagery enhances the ability to differentiate between agricultural land
cover features such as hay/pasture and small grains. For the 1930 and 1950 time periods, only black-and-white photographs are available. When black-and-white aerial photographs are used, specific land
cover categories must be identified through land surface patterns.
Acquisition of ancillary material, such as National Wetlands Inventory data, USGS 7.5-minute
maps, and the Bureau of Reclamation's Land Use Trend Analysis data, helps enhance the interpretation
and classification of the land surface features.
Image Processing - Georectification
After acquiring the aerial photographs and ancillary data sources, the project staff scans
the historical aerial photographs for each timeframe. During the scanning, every other photograph in a
stereopair is used in order to obtain complete coverage for each 7.5-minute quadrangle.
The scanned aerial photographs are mosaicked and georeferenced using image processing
software. As part of the georeferencing process, control points are created by transferring coordinates
of well-defined points (that is, road intersections) from a DLG to the scanned image. At least nine
georeferenced control points per image are required. In areas of high terrain relief, a minimum of 15
points is recommended. The controlled part of each photograph is then clipped out and mosaicked to
adjacent georeferenced aerial photographs. The objective is to create a historical georeferenced image
covering each USGS 7.5-minute quadrangle within the project area.
The final processing step is to check each mosaicked image against the DLG georeferenced
features and to verify complete quadrangle coverage. Subsequently, the mosaicked image is split into
north and south sections to create smaller image files that the USGS LULC collection software can
display efficiently.
The USGS cannot produce a complete mosaicked image for all quadrangles within a project
area. Primary reasons include (1) few or no horizontal control points available on the DLG, (2) terrain
too mountainous, or (3) no change in land cover classification between temporal periods in remote
areas. For those quadrangles where data gaps exist in the mosaicked image, ancillary sources are used
to classify the LULC category.
LULC Collection Criteria
The LULC feature collection requirements include an MMU of 2.5 acres and a minimum
polygon width of 125 feet. The identification of LULC categories follows a modified Anderson
classification system (Anderson, 1976) developed by the USGS Rocky Mountain Mapping Center.
The USGS Anderson classification system developed in the 1970's has been expanded to include more
category levels (see table 1). Currently, the USGS is mapping LULC features down to level 4 of the
classification system. Examples of features collected at level 4 include urban parks, natural grasslands,
major retail, light industry, and row crops.
Table 1. A part of the modified Anderson classification system illustrating subcategories included in the
"developed" land use category
| Level 1 | Level 2 | Level 3 | Level 4 |
| 2.0
Developed |
2.1 Residential | 2.11 Single-family residential | |
| 2.12 Multi-family residential | |||
| 2.2 Nonresidential developed | 2.21 Commercial/light Industry | 2.211 Major retail | |
| 2.212 Mixed/minor retail and services | |||
| 2.213 Office | |||
| 2.214 Light industry | |||
| 2.22 Heavy industry | 2.221 Petrochemical refinery | ||
| 2.3 Mixed urban |
The contemporary LULC data are checked before the compilation of the historical LULC data
sets. Since the contemporary LULC data are used as the foundation for collecting the historical time
periods, a quality-controlled 1990's LULC data set reduces the possibility of correcting the same error
for all historical periods, especially in those areas where temporal LULC change has not occurred.
| U.S. Department of the
Interior, U.S. Geological Survey URL:http://rockyweb.cr.usgs.gov/frontrange/land/templanduse/apsabs.htm Contact: Carol Mladinich mailto:csmladinich@usgs.gov Updated: 09/05/2000 |
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