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Showing 1 to 12 of 12 for “"land use classification"”.
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Deep learning for land cover and land use classification
… thus posing huge challenges in automatic land cover (LC) and land use (LU) classification. Deep learning reignited the pursuit of artificial intelligence towards a general purpose machine to be able to perform any human-related tasks in an automated fashion. This is largely driven by the …
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Geographic information system strategies for improving Landsat land use classification accuracy
This study focuses on POWER Geographic Information System strategies for improving the land use classification and mapping accuracies of Landsat multi spectral scanner (MSS) data. The specific strategies are additional-band, class reduction, exclusion, and conditional. Three classified images …
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GIS-based urban land use characterization and population modeling with subpixel information measured from remote sensing data
… Surface-Soil (V-I-S) model in the urban land use characterization and population modeling, focusing on New Orleans area. Previous research on the V-I-S model used in urban land use classification emphasized on the accuracy improvement while ignoring the discussion of the stability of …
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Redefining the typology of land use in the age of big data
Land use classification is important as a standard for land use description and management. However, current land use classification systems are problematic. Labels such as "residential use" and "commercial use" do not fully reveal how the land use is used in terms of function, mix use and changes …
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Characterization of Watersheds on Fort Benning Military Reservation: Comparison of Field Data to Watershed Parameters
… ArcGIS 9.3 for comparison to physical data. Land use, slope, and soil data were used in a modified revised universal soil loss equation (RUSLE) to create a soil erodibility index map. Wolman Pebble Count data showed that in half of the watersheds, 84% of the sampled grains were less than half …
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Air photo interpretation for the measurement of changes in urban land use
This research is concerned with the use of aerial photographs for the measurement and recording of urban land use. A suitable land use classification scheme and a methodology for the measurement and recording of land use areas are developed. Use is made of these to obtain data for geographical …
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Spatial Analysis of Motor Vehicle Accidents in Johnson City, Tennessee, as Reported to Washington County Emergency Communications District (911).
… Records were compared according to the land use classification for adjacent properties, roadway type, and traffic signal proximity. Data were evaluated through ArcGIS software using proximity analysis, point pattern analysis, and hotspot analysis.</p><p>Motor vehicle accidents evaluated …
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Deforestation and Land-Use Change in Veracruz, Mexico: A Remote Sensing Analysis
… area in a subtropical region in Veracruz was used to relate changes in forest cover to changes in land-uses within the smaller region. A land-use classification was created for this study that includes fallow/barren, subsistence agriculture, sugar cane, urban/settlement, grazing lands and …
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Sub-Pixel Classification of Historical and Current Marsh Habitat For the Eastern Mississippi Gulf Coast Using Remotely Sensed Images
<p><p>Coastal Wetlands are changing at unprecedented rates (Reyes et al., 2000 & 2004) and the ability to monitor their changes remotely over time has become increasingly important (Hilbert, 2006 & Blaschke, 1996). The focus of this project was to complete a historical sub-pixel prediction land use …
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A Biogeographic Inventory and Water Quality Analysis of the Upper Drainage Basin of the Meramec River, Missouri
… bedrock, flora, and fauna of a given area; land use classification of the study area; and a water quality analysis. The study area has nine biogeographic classes. The land use is mainly forested, with scattered agriculture and urban land use. The water quality was sampled over a one year …
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The re-industrial city : what case studies from New York and San Francisco tell us about the urban manufacturing resurgence
… facilities are cultural beacons in their mixed-use neighborhoods and help create a framework for thinking about why urban manufacturing matters in our re-industrializing metropolises. This thesis describes each facility in detail, drawing conclusions about their key characteristics at four …
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A Deep Learning Framework for Investigating Spatio-temporal Evolution of Land Use and Land Cover Patterns
… it urgent to understand the changes in urban Land-use and Land-cover (LULC) patterns. At present, the understanding of the spatio-temporal evolution of LULC patterns is heavily constrained by the lack of efficient and precise methods of mapping and predicting LULC changes, particularly for the …