SpatialCover Tree Canopy California
SpatialCover Tree Canopy California is a high resolution (1 meter) tree cover data layer that provides baseline information on woody vegetation for California in multiple formats to support improved management of tree resources and carbon quantification. It is derived from 1 meter, 4 band color infrared imagery flown between May 13, 2014 and October 5, 2014 as part of the National Agriculture Imagery Program (NAIP).
What can you do with SpatialCover Tree Canopy?
The SpatialCover Tree Canopy California dataset supports numerous applications for urban planning, forest inventory and ecosystem analysis. Application examples:
Mapping Sacramento's Tree Canopy by Community Plan Areas
Mapping Sacramento's Tree Canopy by Council Districts
EarthDefine used a Geographic Object-Based Image Analysis (GEOBIA) processing workflow to create the SpatialCover Tree Canopy California dataset. Multiple ancillary datasets including transportation framework vectors, TIGER demographic data, hydrological, cadastral and terrain data were used along with color infrared aerial imagery to develop an object based classification workflow. Over 4.9 billion image-objects were created from over 158,123 square miles of 1m resolution source imagery and classified through our GEOBIA platform to create a 6-class classification with an overall accuracy of 93.5%. The SpatialCover Tree Canopy layer was processed from the base SpatialCover Land Cover for California to prioritize the classification of trees.
SpatialCover Tree Canopy California Overview
|Minimum Mapping Unit||0.005 acre|
|Area||158,123 sq. miles|