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High resolution land cover dataset for Los Angeles, CA. Eight land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, (7) other paved surfaces, and (8) tall shrubs. The primary source used to derive this land cover dataset was LARIAC5 (2017) aerial imagery. Esri Imagery Team created a deep learning model to perform land cover classification on aerial imagery. Esri Professional Services then performed the classification for LA County Public Works. <\/SPAN><\/P>

The deep learning model can be downloaded here: <\/SPAN>https://www.arcgis.com/home/item.html?id=c1bca075efb145d9a26394b866cd05eb<\/SPAN><\/A><\/P>

Work was funded by LA County Public Works Stormwater Planning Division. Please contact Bowen Liang (BLiang@dpw.lacounty.gov) or Christine Lam (CLam@dpw.lacounty.gov) if you have any questions.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "name": "LARIAC5/LANDCOVER_2017", "description": "

High resolution land cover dataset for Los Angeles, CA. Eight land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, (7) other paved surfaces, and (8) tall shrubs. The primary source used to derive this land cover dataset was LARIAC5 (2017) aerial imagery. Esri Imagery Team created a deep learning model to perform land cover classification on aerial imagery. Esri Professional Services then performed the classification for LA County Public Works. <\/SPAN><\/P>

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