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EnviroAtlas land cover dataset

<p>This dataset contains imagery, land cover, and object layers for four of the cities covered by the EPA&rsquo;s EnviroAtlas dataset: Pittsburgh, PA, Phoenix, AZ, Durham, NC, and Austin, TX. The dataset consists of 10 test tiles and 5 validation tiles in each city, with an additional 10 training tiles and 8 (total) validation tiles in Pittsburgh, subsetting the total area that the EnviroAtlas dataset covers in each city. The EnviroAtlas label definitions are explained in <a href="https://pubmed.ncbi.nlm.nih.gov/32844040/">Pilant et al. 2020</a>. In the processed prior files included in this dataset, channels correspond to:</p> <ul> <li>0: water</li> <li>1: impervious surface</li> <li>2: soil and barren</li> <li>3: trees and forest (and shrub in AZ)</li> <li>4: grass and herbaceous</li> </ul> <p>Specifically, this dataset is in the same format as the &quot;<a href="https://lila.science/datasets/chesapeakelandcover">Chesapeake Land Cover</a>&quot; dataset and contains the following layers:</p> <ul> <li>NAIP 1m aerial imagery (year = 2010 for Pittsburgh, P and Phoenix, AZ, and year = 2012 for Durham NC, and Austin TX <ul> <li><a href="https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/index">https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/index</a></li> <li><a href="https://planetarycomputer.microsoft.com/dataset/naip">https://planetarycomputer.microsoft.com/dataset/naip</a></li> </ul> </li> <li>NLCD 2016 <ul> <li><a href="https://www.mrlc.gov/data">https://www.mrlc.gov/data</a></li> </ul> </li> <li>OpenStreetMap roads <ul> <li><a href="https://www.openstreetmap.org/">https://www.openstreetmap.org/</a></li> </ul> </li> <li>OpenStreetMap waterways, waterbodies, water= max(waterways, waterbodies) <ul> <li><a href="https://www.openstreetmap.org/">https://www.openstreetmap.org/</a></li> </ul> </li> <li>Microsoft building footprints <ul> <li><a href="https://github.com/Microsoft/USBuildingFootprints">https://github.com/Microsoft/USBuildingFootprints</a></li> </ul> </li> <li>EnviroAtlas 1m land cover labels: <ul> <li><a href="https://www.epa.gov/enviroatlas/about-data">https://www.epa.gov/enviroatlas/about-data </a></li> </ul> </li> <li>Prior probabilities of the 1m land cover labels (with OSM and building data fused into prior)</li> <li>Prior probabilities of the 1m land cover labels (without OSM or building data)</li> </ul> <p>For more information on how the OpenStreetMap&nbsp;layers are downloaded and processed, as well as how the prior probabilities are calculated, see the accompanying GitHub repository:&nbsp;</p> <p>&nbsp;</p> <p>Version 1.1 fixes an issue with the spatial index file.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4