Title: Tree Cover Dynamics CONUS Dataset
	DOI: 10.7923/s6d0-3b36
	RCDS ID: 397cb410-087b-43cf-89b9-aa28717146ee 

Description/Abstract:
	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.

	**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](https://creativecommons.org/licenses/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

Resource URL: 
	https://data.nkn.uidaho.edu/dataset/tree-cover-dynamics-conus-dataset

Creator(s):	
	1. Alexey Egorov
		Unique identifier: https://orcid.org/0000-0003-0856-9659
		Affiliation(s): Department of Forest, Rangeland and Fire Sciences, University of Idaho
	2. Luigi Boschetti
		Unique identifier: https://orcid.org/0000-0001-6525-4413
		Affiliation(s): Department of Forest, Rangeland and Fire Sciences, University of Idaho
	3. David P. Roy
		Unique identifier: https://orcid.org/0000-0002-1347-0250
		Affiliation(s): Department of Geography, Environment, & Spatial Sciences, Michigan State University

Other Contributor(s): 
	NULL

Publisher: University of Idaho

Publication Year: 2024
	
Language(s): American English

Subject(s):
	1. Natural Sciences
		1.5 Earth and related environmental sciences
	2. Engineering and Technology
		2.7 Environmental engineering
	4. Agricultural Sciences
		4.1 Agriculture, forestry, and fisheries

Keywords/Tags: Landsat; forest; percent tree cover; forest cover loss; validation; ARD; sampling; CONUS

Resource Type General: Dataset
		
Dates: NULL

Date available for the public: 2024-06-05

Sizes: 
	Total Size: 193 GB
	File Size: 68 Mb – 3.3 GB
 
Format(s): geoTiff
 
Version: v1

Funding References:
	United States National Aeronautics and Space Administration (NASA)
		Award Number: 80NSSC19M0132
		Program: Making Earth System Data Records for Use in Research Environments (MEaSUREs) program
		Award Title: NULL
		Award URL: NULL
	University of Idaho
		Award Number: NULL
		Program: P3-R1 funding
		Award Title: NULL
		Award URL: NULL 
 
Spatial/Geographical Coverage Location:
	Study Area Description: Continental United States (CONUS)
	Geospatial Extent: 
		Easting: -66.882928°
		Westing: -124.851633°
		Northing: 49.390397°
		Southing: 24.394478°
	 
Temporal Coverage: 
	Start Date: 1985-01-01
	End Date: 2019-12-31
 
Granularity of the Data:
	Pixel Size: 30 m
	Temporal Resolution: 1 year
 
Contact Info: 
	Contact Name: Luigi Boschetti
	Contact Email: luigi@uidaho.edu
 
Related Content:   
	Peer-Reviewed Manuscript | Algorithm Description and Quality Assessment | https://doi.org/10.1016/j.srs.2023.100084

Data/Code Files:
	CONUS.v1: Data directory with geoTiff files from 1985-2019
		 NOTE: See 'metadata-dataDescriptor.pdf' for file name key
	metadata-dataDescriptor.pdf: Metadata key for interpreting data files in PDF format.
	readme.txt: Dataset discovery metadata in readme.txt format.
	s6d0-3b36.xml: Dataset discovery metadata in XML format from DataCite.