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John W Coulston
John W Coulston
USDA Forest Service
Verified email at usda.gov
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Year
Completion of the 2011 National Land Cover Database for the conterminous United States–representing a decade of land cover change information
C Homer, J Dewitz, L Yang, S Jin, P Danielson, G Xian, J Coulston, ...
Photogrammetric Engineering & Remote Sensing 81 (5), 345-354, 2015
32942015
Fragmentation of continental United States forests
KH Riitters, JD Wickham, RV O'neill, KB Jones, ER Smith, JW Coulston, ...
Ecosystems 5, 0815-0822, 2002
5332002
Modeling percent tree canopy cover: a pilot study
JW Coulston, GG Moisen, BT Wilson, MV Finco, WB Cohen, CK Brewer
Photogrammetric Engineering & Remote Sensing 78 (7): 715–727 78 (7), 715-727, 2012
2702012
Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance
EA Freeman, GG Moisen, JW Coulston, BT Wilson
Canadian Journal of Forest Research 46 (3), 323-339, 2016
2212016
On-the-fly massively multitemporal change detection using statistical quality control charts and Landsat data
EB Brooks, RH Wynne, VA Thomas, CE Blinn, JW Coulston
IEEE Transactions on Geoscience and Remote Sensing 52 (6), 3316-3332, 2013
1712013
The multi-resolution land characteristics (MRLC) consortium—20 years of development and integration of USA national land cover data
J Wickham, C Homer, J Vogelmann, A McKerrow, R Mueller, N Herold, ...
Remote Sensing 6 (8), 7424-7441, 2014
1692014
Fitting the multitemporal curve: A Fourier series approach to the missing data problem in remote sensing analysis
EB Brooks, VA Thomas, RH Wynne, JW Coulston
IEEE Transactions on Geoscience and Remote Sensing 50 (9), 3340-3353, 2012
1482012
Approximating prediction uncertainty for random forest regression models
JW Coulston, CE Blinn, VA Thomas, RH Wynne
Photogrammetric Engineering & Remote Sensing 82 (3), 189-197, 2016
1382016
A call to improve methods for estimating tree biomass for regional and national assessments
AR Weiskittel, DW MacFarlane, PJ Radtke, DLR Affleck, H Temesgen, ...
Journal of Forestry 113 (4), 414-424, 2015
1202015
From sink to source: Regional variation in US forest carbon futures
DN Wear, JW Coulston
Scientific reports 5 (1), 16518, 2015
1072015
Status and future of the forest health indicators program of the USA
CW Woodall, MC Amacher, WA Bechtold, JW Coulston, S Jovan, ...
Environmental Monitoring and Assessment 177, 419-436, 2011
1032011
Geographic analysis of forest health indicators using spatial scan statistics
JW Coulston, KH Riitters
Environmental management 31 (6), 764-773, 2003
942003
Fragmentation of forest communities in the eastern United States
KH Riitters, JW Coulston, JD Wickham
Forest Ecology and Management 263, 85-93, 2012
932012
A national ozone biomonitoring program–results from field surveys of ozone sensitive plants in northeastern forests (1994–2000)
G Smith, J Coulston, E Jepsen, T Prichard
Environmental Monitoring and Assessment 87, 271-291, 2003
862003
Regional assessment of ozone sensitive tree species using bioindicator plants
JW Coulston, GC Smith, WD Smith
Environmental Monitoring and Assessment 83, 113-127, 2003
832003
Temporal change in forest fragmentation at multiple scales
JD Wickham, KH Riitters, TG Wade, JW Coulston
Landscape Ecology 22, 481-489, 2007
812007
Estimating and circumventing the effects of perturbing and swapping inventory plot locations
RE McRoberts, GR Holden, MD Nelson, GC Liknes, WK Moser, AJ Lister, ...
Journal of Forestry 103 (6), 275-279, 2005
722005
A preliminary assessment of Montreal process indicators of forest fragmentation for the United States
KH Riitters, JD Wickham, JW Coulston
Environmental Monitoring and Assessment 91, 257-276, 2004
712004
Complex forest dynamics indicate potential for slowing carbon accumulation in the southeastern United States
JW Coulston, DN Wear, JM Vose
Scientific reports 5 (1), 8002, 2015
692015
The US forest carbon sink accounting framework: stocks and stock change 1990-2016
CW Woodall, JW Coulston, GM Domke, BF Walters, DN Wear, JE Smith, ...
General Technical Report NRS-154. USDA Forest Service, Northern Research …, 2015
69*2015
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