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Publication Details

Title:
High resolution land cover for Washington DC (2011) Data publication contains GIS data
Author(s):
University of Vermont Spatial Analysis Laboratory
Publication Year:
2013
How to Cite:
If you use these data in a publication, presentation, or other research product please use the following citation:
University of Vermont Spatial Analysis Laboratory. 2013. High resolution land cover for Washington DC (2011). Burlington, VT: University of Vermont Spatial Analysis Laboratory. https://gis.w3.uvm.edu/utc/Landcover/WashingtonDC_2011.zip
Abstract:
High resolution land cover dataset for Washington DC. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at 0.6m square . The primary sources used to derive this land cover layer were 2009 LiDAR and 2011 NAIP. Ancillary data sources included GIS data (Bridges and Tunnels, Building Footprints, Parking Lots, Railroads, Road Casings, Sidewalks, and Water, ) provided by DC GIS and Casey Trees. This land cover dataset is considered current as of 2011. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control. More than 86000 corrections were made to the classification.

Keywords:
environment; imageryBaseMapsEarthCover; planningCadastre; Environment and People; Urban natural resources management; Natural Resource Management & Use; urban tree canopy; UTC; land cover; Washington DC; District of Columbia
Metrics:
Visit count : 120
Access count: 14
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