Name: BuildingFootprint 2019

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Description: For a full product datasheet, visit: https://vegmap.press/marin_structures_datasheetThis dataset is derived directly from the Marin County impervious surfaces map, which was created by the University of Vermont’s Spatial Analysis Lab. The impervious map was derived from Quality Level 1 (QL1) lidar data which was collected in early 2019. Table 1 lists download locations for these datasets.The impervious map and derived structure and defensible space datasets were created using “expert systems” rulesets developed in Trimble Ecognition. These rulesets combine automated image segmentation with-object based image classification techniques. In contrast with machine learning approaches, expert systems rulesets are developed heuristically based on the knowledge of experienced image analysts. Key data sets used in the expert systems rulesets for impervious mapping included: orthophotography (2018), the lidar point cloud (2019), and lidar derived rasters. After it was produced using Trimble Ecognition, the preliminary impervious map product was manually edited by a team of UVM’s photo interpreters. Manual editing corrected errors where the automated methods produced incorrect results. Structure footprints were mapped if they had an area greater than 200 square feet.Data Limitations:Building footprints are derived from the lidar point cloud using mostly automated techniques. As a result, false positives (buildings in the dataset that don’t exist on the ground) do occasionally appear in the datasets. False negatives (buildings that exist on the ground but not in the dataset) also exist, especially where houses are partially or totally obscured by tree canopy. Related Datasets:Impervious Surfaces Map – The impervious surfaces map is a fine scale map of built features including dirt gravel roads, paved roads, buildings, and other impervious surfaces.

Copyright Text: Golden Gate National Parks Conservancy, Tamalpais Lands Collaborative (One Tam), University of Vermont Spatial Analysis Lab, Tukman Geospatial LLC

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