Assessing map accuracy from a suite of site-specific, non-site specific, and spatial distribution approaches.

[1]  M. D. Nelson,et al.  American Woodcock Singing-Ground Survey Sampling of Forest Type and Age , 2018, Proceedings of the Eleventh American Woodcock Symposium.

[2]  R. McRoberts,et al.  The effects of global positioning system receiver accuracy on airborne laser scanning-assisted estimates of aboveground biomass. , 2018 .

[3]  Evan B. Brooks,et al.  How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms , 2017 .

[4]  James D. Wickham,et al.  Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD). , 2017, Remote sensing of environment.

[5]  M. D. Nelson,et al.  Spatial characteristics of early successional habitat across the Upper Great Lakes states , 2016 .

[6]  Janet L. Ohmann,et al.  How sampling and scale limit accuracy assessment of vegetation maps: A comment on Loehle et al. (2015) , 2015 .

[7]  Suming Jin,et al.  Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information , 2015 .

[8]  Mário Caetano,et al.  Assessing the impacts of human uncertainty in the accuracy assessment of land-cover maps using linguistic scales and fuzzy intervals , 2015 .

[9]  Giles M. Foody,et al.  Good practices for estimating area and assessing accuracy of land change , 2014 .

[10]  S. Stehman.  Estimating area from an accuracy assessment error matrix , 2013 .

[11]  Tom P. Evans,et al.  Classification of Coffee-Forest Landscapes Using Landsat TM Imagery and Spectral Mixture Analysis , 2013 .

[12]  Ian W. Housman,et al.  An accuracy assessment of forest disturbance mapping in the western Great Lakes , 2013 .

[13]  Sharon W. Woudenberg,et al.  The Forest Inventory and Analysis Database: Database Description and Users Manual Version 4.0 for Phase 2 , 2012 .

[14]  James D. Wickham,et al.  Pixels, blocks of pixels, and polygons: Choosing a spatial unit for thematic accuracy assessment , 2011 .

[15]  R. Pontius,et al.  Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment , 2011 .

[16]  Ronald E. McRoberts,et al.  Satellite image-based maps: Scientific inference or pretty pictures? , 2011 .

[17]  Scott L. Powell,et al.  Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks , 2011 .

[18]  Warren B. Cohen,et al.  Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation , 2010 .

[19]  Sarah Parks,et al.  An effective assessment protocol for continuous geospatial datasets of forest characteristics using USFS Forest Inventory and Analysis (FIA) data , 2010 .

[20]  G. Foody.  Assessing the accuracy of land cover change with imperfect ground reference data , 2010 .

[21]  Ronald E. McRoberts,et al.  The effects of rectification and Global Positioning System errors on satellite image-based estimates of forest area , 2010 .

[22]  S. Goward,et al.  An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks , 2010 .

[23]  Stephen V. Stehman,et al.  Sampling designs for accuracy assessment of land cover , 2009 .

[24]  Marvin E. Bauer,et al.  Effects of satellite image spatial aggregation and resolution on estimates of forest land area , 2009 .

[25]  C. Scott,et al.  Use of space-filling curves to select sample locations in natural resource monitoring studies , 2009, Environmental monitoring and assessment.

[26]  Alexis J. Comber,et al.  The separation of land cover from land use using data primitives , 2008 .

[27]  Alexis J. Comber,et al.  Land use or land cover? , 2008 .

[28]  Pramod K. Varshney,et al.  Estimation of fuzzy error matrix accuracy measures under stratified random sampling , 2007 .

[29]  L. Ji,et al.  An Agreement Coefficient for Image Comparison , 2006 .

[30]  Alan H. Strahler,et al.  Validation of the global land cover 2000 map , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[31]  A. Olsen,et al.  Spatially Balanced Sampling of Natural Resources , 2004 .

[32]  J. Wickham,et al.  Thematic accuracy of the 1992 National Land-Cover Data for the eastern United States: Statistical methodology and regional results , 2003 .

[33]  Tuomas Häme,et al.  Compilation of a European forest map from Portugal to the Ural mountains based on earth observation data and forest statistics , 2003 .

[34]  Alex Hagen,et al.  Fuzzy set approach to assessing similarity of categorical maps , 2003, Int. J. Geogr. Inf. Sci..

[35]  Magdeline Laba,et al.  Conventional and fuzzy accuracy assessment of the New York Gap Analysis Project land cover map , 2002 .

[36]  F. Bertolo,et al.  Mapping sub-pixel forest cover in Europe using AVHRR data and national and regional statistics , 2002 .

[37]  Kaj Andersson,et al.  AVHRR-Based Forest Proportion Map of the Pan-European Area. , 2001 .

[38]  Hui Lin,et al.  Formalizing fuzzy objects from uncertain classification results , 2001, Int. J. Geogr. Inf. Sci..

[39]  Debby Beardsley,et al.  Using a mensuration approach with FIA vegetation plot data to assess the accuracy of tree size and crown closure classes in a vegetation map of northeastern California. , 2000 .

[40]  Sucharita Gopal,et al.  Fuzzy set theory and thematic maps: accuracy assessment and area estimation , 2000, Int. J. Geogr. Inf. Sci..

[41]  Don L. Stevens,et al.  Spatially restricted surveys over time for aquatic resources , 1999 .

[42]  Stephen V. Stehman,et al.  Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles , 1998 .

[43]  Carl-Erik Särndal,et al.  Model Assisted Survey Sampling , 1997 .

[44]  L. Zadeh.  Fuzzy sets , 1996 .

[45]  C. Woodcock,et al.  Theory and methods for accuracy assessment of thematic maps using fuzzy sets , 1994 .

[46]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[47]  D. H. Card.  Using known map category marginal frequencies to improve estimates of thematic map accuracy , 1982 .

[48]  Michael Church,et al.  On the misuse of regression in earth science , 1977 .

[49]  W. Feller.  On the Kolmogorov–Smirnov Limit Theorems for Empirical Distributions , 1948 .

[50]  S S Stevens,et al.  On the Theory of Scales of Measurement. , 1946, Science.

[51]  M. D. Nelson,et al.  Defining the United States land base , 2020 .

[52]  Ian W. Housman,et al.  Mapping forest canopy disturbance in the Upper Great Lakes, USA , 2015 .

[53]  A. Lister,et al.  Application of an assessment protocol to extensive species and total basal area per acre datasets for the eastern coterminous United States , 2012 .

[54]  M. D. Nelson.  Satellite remote sensing for enhancing national forest inventory , 2005 .

[55]  Mark H. Hansen,et al.  The forest inventory and analysis sampling frame , 2005 .

[56]  Nicholas Chrisman,et al.  Rethinking Levels of Measurement for Cartography , 1998 .

[57]  G. Foody.  A fuzzy sets approach to the representation of vegetation continua from remotely sensed data : an example from lowland health , 1992 .

[58]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[59]  Chengquan Huang,et al.  Remote Sensing ofEnvironment Snow-covered Landsat time series stacks improve automated disturbance mapping accuracy in forested landscapes , 2022 .