The Tree Cover Dynamics (TCD) Conterminous United States (CONUS) dataset is a suite of 30 m wall-to-wall products, derived from USGS Landsat-4, Landsat-5 and Landsat-7 Collection 1 Analysis Ready Data (ARD), defining for each year: (i) the estimated percent tree cover (PTC), (ii) if tree cover loss is detected, the estimated percent tree cover decrease from the previous year (ΔPTC), (iii) if tree cover loss is detected, the Landsat acquisition dates bounding the tree cover loss event (i.e., the last valid observation before the loss, and the first valid observation after the loss) and (iv) a forest status thematic map (three thematic classes: stable forest, stable non-forest, forest cover loss). The products are available for every year from 1985 to 2019. The dataset is provided as georeferenced GeoTIFF images, defined in the CONUS Albers Equal-Area Conic map projection at 30m resolution.

The Tree Cover Dynamics (TCD) Conterminous United States (CONUS) dataset is a suite of 30 m wall-to-wall products, derived from USGS Landsat-4, Landsat-5 and Landsat-7 Collection 1 Analysis Ready Data (ARD), defining for each year: (i) the estimated percent tree cover (PTC), (ii) if tree cover loss is detected, the estimated percent tree cover decrease from the previous year (?PTC), (iii) if tree cover loss is detected, the Landsat acquisition dates bounding the tree cover loss event (i.e., the last valid observation before the loss, and the first valid observation after the loss) and (iv) a forest status thematic map (three thematic classes: stable forest, stable non-forest, forest cover loss). The products are available for every year from 1985 to 2019. The dataset is provided as georeferenced GeoTIFF images, defined in the CONUS Albers Equal-Area Conic map projection at 30m resolution.

Algorithm Description and Quality Assessment
The detailed description of the algorithm and validation of the TCD CONUS products, including precision and accuracy estimated through comparison with an independent reference dataset derived from the interpretation of high resolution aerial imagery, are reported in:
Egorov A, Roy DP, Boschetti L. 2023. Generation and comprehensive validation of 30 m conterminous United States Landsat percent tree cover and forest cover loss annual products. Science of Remote Sensing, 7, 100084 https://doi.org/10.1016/j.srs.2023.100084

Data Use
License:
CC-BY 4.0
Recommended Citation:
Egorov A, Boschetti L, Roy DP. 2024. Tree Cover Dynamics CONUS Dataset(Version 1.0) [Data set]. University of Idaho. https://doi.org/10.7923/s6d0-3b36

Funding
US National Aeronautics and Space Administration (NASA): MEaSUREs 80NSSC19M0132
University of Idaho: P3-R1 funding