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0331_WindEnergy (Map Service)


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Current Version: 10.81

Service Description:
Wind Turbines
Wind energy is an important resource for reaching 100% clean energy and reducing greenhouse gas emissions. But when wind turbines are improperly sited or operated, they can degrade natural areas used by birds and kill birds through collisions. By identifying the important places for birds and the latest technology to prevent collisions, we can build a clean energy future that protects birds and the places they need.

Data Source(s)
  • Dunnett S, Sorichetta A, Taylor G, Eigenbrod F. 2020. Harmonised global datasets of wind and solar farm locations and power. Scientific Data 7:130. Nature Publishing Group.
  • Hoen B, Diffendorfer JE, Rand J, Kramer LA, Garrity CP, Roper AD, Hunt H. 2018. United States Wind Turbine Database. U.S. Geological Survey. Available from https://doi.org/10.5066/F7TX3DN0.
Processing
We mapped the current onshore wind energy footprint as a binary surface by identifying all 3-km cells where wind turbine installations are located based on both global (Dunnet et al. 2020) and U.S. (Hoen et al. 2018) datasets.

Most Relevant IUCN - CMP Unified Direct Threat Classification
3.3.1. Onshore wind turbine installations 


Map Name: AGOL

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Layers: Tables: Description:
Wind Turbines
Wind energy is an important resource for reaching 100% clean energy and reducing greenhouse gas emissions. But when wind turbines are improperly sited or operated, they can degrade natural areas used by birds and kill birds through collisions. By identifying the important places for birds and the latest technology to prevent collisions, we can build a clean energy future that protects birds and the places they need.

Data Source(s)
  • Dunnett S, Sorichetta A, Taylor G, Eigenbrod F. 2020. Harmonised global datasets of wind and solar farm locations and power. Scientific Data 7:130. Nature Publishing Group.
  • Hoen B, Diffendorfer JE, Rand J, Kramer LA, Garrity CP, Roper AD, Hunt H. 2018. United States Wind Turbine Database. U.S. Geological Survey. Available from https://doi.org/10.5066/F7TX3DN0.
Processing
We mapped the current onshore wind energy footprint as a binary surface by identifying all 3-km cells where wind turbine installations are located based on both global (Dunnet et al. 2020) and U.S. (Hoen et al. 2018) datasets.

Most Relevant IUCN - CMP Unified Direct Threat Classification
3.3.1. Onshore wind turbine installations 


Copyright Text:

Spatial Reference:
102100

Single Fused Map Cache: true

Capabilities: Map,TilesOnly,Tilemap

Tile Info:
Initial Extent:
Full Extent:
Min Scale: 2.95828763795777E8
Max Scale: 9244648.868618

Min LOD: 1
Max LOD: 6

Units: esriMeters

Supported Image Format Types: Mixed

Export Tiles Allowed: false
Max Export Tiles Count: 100000

Document Info: