SpatialCover Tree Canopy
SpatialCover Tree Canopy is a high resolution (1 meter) tree canopy data product that provides baseline tree cover information in multiple formats to support improved management of tree resources and carbon quantification. SpatialCover Tree Canopy is derived from LIDAR (Light Detection and Ranging) data where available. The LIDAR data is typically used along with 1 meter or better resolution, 4 band color infrared imagery that is flown as part of the National Agriculture Imagery Program (NAIP) or other imagery available through a state orthoimagery acquisition project. NAIP data is used as the primary data source in areas where there is no usable LIDAR. This product provides a cost-effective solution where tree canopy is the primary land cover class of interest for your application.
EarthDefine's SpatialCover Tree Canopy product offers significant advantages over coarser resolution tree canopy layers that are available for large areas like the 30m National Land Cover Data (NLCD) Percent Tree Canopy layer. This is because the higher source resolution (1 meter) imagery allows the capture of smaller patches of tree cover and delineation of trees with a higher accuracy in heterogeneous landscapes like urban areas or agricultural landscapes and enables tree canopy estimation at smaller scales.
SpatialCover Tree Canopy compared to low resolution percent tree canopy
||30m NLCD (National Land Cover Dataset) 2001 Percent Tree Canopy
||1m SpatialCover Tree Canopy 2012
What can you do with SpatialCover Tree Canopy?
The SpatialCover Tree Canopy product helps government agencies, companies and non-profits by supplying accurate and spatially explicit high resolution tree cover data for performing a wide range of mapping and spatial analysis functions. Example applications include:
- mapping actual and potential tree canopy in urban communities through Urban Tree Canopy (UTC) assessments
- modeling of tree services like air and water pollution mitigation
- measuring carbon storage and sequestration
- wildfire modeling
- assessing residential property values
- modeling wildlife movement
- creating and analyzing forest inventory
- measuring agroforestry resources in rural landscapes
|Minimum Mapping Unit||0.005 acre|