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Urban forest classification based on 1997 Landiscor aerial photo
Identifier:376_1
Publication date:2006
Author(s):
Jason Walker
Abstract:
The dataset is the result of applying parameters developed for the object-oriented classification of high resolution, true-color aerial photography (Walker and Briggs in press). The source image used is the true-color Landiscor aerial photography (3 m) collected over Phoenix in the spring of 1997.
Keywords:
Phoenix, Arizona, Sonoran Desert, caplter, Central Arizona Phoenix Longterm Ecological Research, urban, metropolitan area, urban forest, remote sensing, air-photo interpretation, Land-Use and Land-Cover Change, Database Remote Sensing GIS Applications, Organic Matter, Climate Ecosystem Interactions, Project id 67, caplter created, gis
Temporal Coverage:
1997-04-01
Geographic Coverage:
Geographic Description:Central Arizona Phoenix
Bounding Coordinates:
Longitude:-112.749912 to -111.376339
Latitude:33.911178 to 33.163646
Contact:
Data Manager,
Global Institute of Sustainability,Arizona State University,POB 875401,TEMPE
caplter.data@asu.edu
Methods used in producing this dataset:
Image classificication procedure
The classification image is produced by applying previously derived parameters for the Landiscor photomosaic within the framework of the object-oriented classification (E-Conginition softwater). The 1997 Landiscor image is classified int o a binary map with "1" representing "vegetation" and "0" - no vegetation. Classification is performed using conditional statements in the Erdas Imaing Modeler with the following two rules. Pixels are classified as vegetation if either band 3 of the imagery is within the range of pixel values 5-63, or band 1is within the range of 6-99.
Entities:
Raster: Layer
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Attributes:
Attribute:Value
Description:Class Code
Measurement Unit:number
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