Percent tree and impervious cover for 2020 and projected in 2070 for three RPA scenarios (average, maximum and minimum) for the 2020 RPA Assessment

Research Data Publication File Index

File Folder Description
_metadata_RDS-2022-0085.html   Metadata file in HTML format containing a description of the content, quality, and other characteristics of the data.
_metadata_RDS-2022-0085.xml   Metadata file in Extensible Markup Language (XML) format containing a description of the content, quality, and other characteristics of the data.
_variable_descriptions.csv \Data Comma-separated values (CSV) file containing a list and description of variables found in all data files.
Average_Scenario.csv \Data CSV file containing tree canopy cover and impervious cover estimates for 2020 and projections for 2070 under the average scenario (the national average tree cover increase was closest to the average change among all RPA scenario-climate futures) for every county in the conterminous United States.
Maximum_Scenario.csv \Data CSV file containing tree canopy cover and impervious cover estimates for 2020 and projections for 2070 under the maximum scenario (scenario that had the highest average increase in tree cover) for every county in the conterminous United States.
Minimum_Scenario.csv \Data CSV file containing tree canopy cover and impervious cover estimates for 2020 and projections for 2070 under the minimum scenario (scenario that had the lowest average increase in tree cover) for every county in the conterminous United States.
RPA_Assessment_2020_Table_4-12.pdf \Supplements Portable Document Format file containing table 4-12 from Riitters et al. (2023), which provides a comparison of USFS Tree Canopy Cover (TCC) and photo-interpreted (PI) percent tree canopy cover estimates by RPA scenario-climate futures land use class.