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Land cover classification using Landsat Enhanced Thematic Mapper (ETM) data - year 2005
Identifier:377_1
Publication date:2007-10-15
Author(s):
Alexander Buyantuyev
Abstract:
A fundamental dataset required for ecosystem analysis consists of the major types of land cover present in the study area and their areal percentages. Land cover refers to the physical nature of the surficial materials present in a given area such as water, grass, clay-rich soil, asphalt, or concrete. Land cover classification can be used as input into a variety of ecological models, and land cover maps can be constructed to aid in planning field sampling strategy. The land cover types can also be linked to different land use categories to investigate temporal and spatial changes in the urban ecosystem.
Keywords:
Phoenix, Arizona, Sonoran Desert, caplter, Central Arizona Phoenix Longterm Ecological Research, urban, metropolitan area, Land Use, Land Cover, LULC, Landsat, change detection, National Land Cover Dataset (NLCD), Project id 20, caplter created, gis, remote sensing, Land-Use and Land-Cover Change, Database Remote Sensing GIS Applications, Long Term Monitoring, Land Use Changes
Temporal Coverage:
2005-03-08
Geographic Coverage:
Geographic Description:Central Arizona Phoenix
Bounding Coordinates:
Longitude:-112.775139 to -111.569515
Latitude:33.850629 to 33.204016
Contact:
Data Manager,
Center for Environmental Studies,Arizona State University,POB 875401,TEMPE
caplter.data@asu.edu
Methods used in producing this dataset:
This Land Use and Land Cover classification was produced using the expert system model that was originally developed for the set of Landsat images acquired in May 24 and June 18, 1998 (Stefanov et al. 2001). The model performs a posteriori sorting of classes initially derived using Maximum Likelihood Supervised Classification by integrating with geographically co-registered auxiliary data layers such as land-use maps, variance texture computed for the 3X3 or 5X5 pixel neighborhood, water rights database, city boundaries, and Native American reservation boundaries. These additional GIS layers are updated accordingly to reflect changes in land use. Our final classification consists of 12 classes and has a reported overall accuracy of 83 %. 1057 randomly generated reference points stratified by land cover classes were used in accurayUser’s accuracy for individual classes varied from 71% to 100% with the exception of commercial/industrial class (51%). Overall Kappa statistic is 0.8127. Erdas Imagine software was used to run all analyses.
Entities:
Raster: Layer_1
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Attributes:
Attribute:ObjectID
Description:Internal feature number.
Attribute:Cell Value
Description:Thematic Value of the cell
Domain:
Enumeration:
0: Undefined
1: Cultivated Vegetation (Active)
2: Cultivated Grass
3: Fluvial and Lacustrine Sediments (Canals)
4: Compacted Soil (Prior Agricultural Use)
5: Vegetation
6: Distributed (Commercial/Industrial)
7: Disturbed (Asphalt and Concrete)
8: Undisturbed
9: Compacted Soil
10: Disturbed (Mesic Residential)
11: Disturbed (Xeric Residential)
12: Water
Attribute:Class_names
Description:Class_names
Domain:
Enumeration:
0: Undefined
1: Cultivated Vegetation (Active)
2: Cultivated Grass
3: Fluvial and Lacustrine Sediments (Canals)
4: Compacted Soil (Prior Agricultural Use)
5: Vegetation
6: Distributed (Commercial/Industrial)
7: Disturbed (Asphalt and Concrete)
8: Undisturbed
9: Compacted Soil
10: Disturbed (Mesic Residential)
11: Disturbed (Xeric Residential)
12: Water
Attribute:Number of pixels
Description:Number of pixels of each land use - land cover type used to build a histogram
Measurement Unit:number
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