Landcover_AllCommunities
About this dataset
Related datasets
✦ Suggested by OrionAIFull Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The 1-meter resolution tree cover configuration and connectivity map categorizes tree cover into structural elements (e.g. core, edge, connector, etc.). Source imagery varies by community. For specific information about methods and accuracy of each community's tree cover configuration and connectivity classification, consult their individual metadata records: Austin, TX; Cleveland, OH; Des Moines, IA; Durham, NC; Fresno, CA; Green Bay, WI; Memphis, TN; Milwaukee, WI; Minneapolis-St.Paul, MN; New Bedford, MA; New York, NY; Phoenix, AZ; Pittsburgh, PA; Portland, ME; Paterson, NJ; Portland, OR; Tampa, FL; and Woodbine, IA.
Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This map estimates the percent tree cover within 26 meters of a busy road edge at any given point throughout the community. A “busy” roadway in EnviroAtlas is defined to include interstates, arterial roads, and collector roads. It does not include local or neighborhood roads, though some of these roads may also experience consistent and heavy traffic. For specific information about methods used to develop data for each community, consult their individual metadata records: Austin, TX; Birmingham, AL; Baltimore, MD; Brownsville, TX; Chicago, IL; Cleveland, OH; Des Moines, IA; Durham, NC; Fresno, CA; Green Bay, WI; Los Angeles, CA; Minneapolis/St. Paul, MN; Memphis, TN; Milwaukee, WI; New Bedford, MA; New Haven, CT; New York, NY; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Portland, ME; Paterson, NJ; Portland, OR; Salt Lake City, UT; Sonoma County, CA; St. Louis, MO; Tampa, FL; Virginia Beach/Williamsburg, VA; Washington, DC; and Woodbine, IA.
Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This map estimates the percent tree cover within 50 meters of hydrologically connected non-coastal waters. It is not summarized by census block group. For specific information about methods used to develop data for each community, consult their individual metadata records: Austin, TX; Birmingham, AL; Baltimore, MD; Brownsville, TX; Chicago, IL; Cleveland, OH; Des Moines, IA; Durham, NC; Fresno, CA; Green Bay, WI; Los Angeles, CA; Minneapolis/St. Paul, MN; Memphis, TN; Milwaukee, WI; New Bedford, MA; New Haven, CT; New York, NY; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Portland, ME; Paterson, NJ; Portland, OR; Salt Lake City, UT; Sonoma County, CA; St. Louis, MO; Tampa, FL; Virginia Beach/Williamsburg, VA; Washington, DC; and Woodbine, IA.
Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This map estimates the percent vegetated cover within 50 meters of hydrologically connected non-coastal waters. It is not summarized by census block group. For specific information about methods used to develop data for each community, consult their individual metadata records: Austin, TX; Birmingham, AL; Baltimore, MD; Brownsville, TX; Chicago, IL; Cleveland, OH; Des Moines, IA; Durham, NC; Fresno, CA; Green Bay, WI; Los Angeles, CA; Minneapolis/St. Paul, MN; Memphis, TN; Milwaukee, WI; New Bedford, MA; New Haven, CT; New York, NY; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Portland, ME; Paterson, NJ; Portland, OR; Salt Lake City, UT; Sonoma County, CA; St. Louis, MO; Tampa, FL; Virginia Beach/Williamsburg, VA; Washington, DC; and Woodbine, IA.
Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This map estimates the percent tree cover within 15 meters of hydrologically connected non-coastal waters. It is not summarized by census block group. For specific information about methods used to develop data for each community, consult their individual metadata records: Austin, TX; Birmingham, AL; Baltimore, MD; Brownsville, TX; Chicago, IL; Cleveland, OH; Des Moines, IA; Durham, NC; Fresno, CA; Green Bay, WI; Los Angeles, CA; Minneapolis/St. Paul, MN; Memphis, TN; Milwaukee, WI; New Bedford, MA; New Haven, CT; New York, NY; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Portland, ME; Paterson, NJ; Portland, OR; Salt Lake City, UT; Sonoma County, CA; St. Louis, MO; Tampa, FL; Virginia Beach/Williamsburg, VA; Washington, DC; and Woodbine, IA.
Full Metadata This EnviroAtlas dataset illustrates the percent of each square kilometer within the community area that is covered by impervious surfaces. Impervious surfaces are materials that do not allow the penetration of water and include buildings, roads, and sidewalks. In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. For specific information about methods used to develop data for each community, consult their individual metadata records: Austin, TX; Birmingham, AL; Baltimore, MD; Brownsville, TX; Chicago, IL; Cleveland, OH; Des Moines, IA; Durham, NC; Fresno, CA; Green Bay, WI; Los Angeles, CA; Memphis, TN; Milwaukee, WI; Minneapolis/St. Paul, MN; New Bedford, MA; New Haven, CT; New York, NY; Phoenix, AZ; Philadelphia, PA; Pittsburgh, PA; Portland, ME; Paterson, NJ; Portland, OR; Salt Lake City, UT; Sonoma County, CA; St. Louis, MO; Tampa, FL; Virginia Beach/Williamsburg, VA; Washington, DC; and Woodbine, IA.
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