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Satellite-Derived Land Cover Intercomparison and Validation References

2021

Tsendbazar, N.E., Herold, M., Li, L., Tarko, A., de Bruin, S., Masiliunas, D., Lesiv, M., Fritz, S. Buchhorn, M., Smets, B.,   Van De Kerchove, R., Duerauer, M. (2021). Towards operational validation of annual global land cover maps. Remote   Sensing of Environment, 236, 111492.

2020

Olofsson, P., Arévalo, P., Espejo, A. B., Green, C., Lindquist, E., McRoberts, R. E., & Sanz, M. J. (2020). Mitigating the   effects of omission errors on area and area change estimates. Remote Sensing of Environment, 236, 111492.

2019

Arévalo, P., Olofsson, P. and Woodcock, C. E. (2019). Continuous monitoring of land change activities and post-
  disturbance dynamics from Landsat time series: A test methodology for REDD + reporting. Remote Sensing of   Environment, 111051

Stehman, S. V. & Foody, G. M. (2019). Key issues in rigorous accuracy assessment of land cover products. Remote   Sensing of Environment, 231: 111199.

2017

Waldner, F. and Defourny, P. (2017). Where can pixel counting area estimates meet user-defined accuracy   requirements? International Journal of Applied Earth Observation and Geoinformation, 60: 1-10

2016

Comber, A., Brunsdon, C., Charlton, M. and Harris, P. (2016). Geographically weighted correspondence matrices for   local error reporting and change analyses: mapping the spatial distribution of errors and change. Remote Sensing   Letters, 8(3): 234-243.

Tsendbazar, N. E., de Bruin, S. and Herold, M. (2016). Assessing global land cover reference datasets for different user   communities. ISPRS Journal of Photogrammetry and Remote Sensing, 103: 93-114

Tsendbazar, N.E., de Bruin, S., Mora, B., Schouten, L., Herold, M. (2016). Comparative assessment of thematic   accuracy of GLC maps for specific applications using existing reference data, International Journal of Applied Earth   Observation and Geoinformation, 44 (2016) 124-135.

2015

Pengra, B., Long, J., Dahal, D., Stehman, S.V., Loveland, T.R. (2015). A global reference database from very high   resolution commercial satellite data and methodology for application to Landsat derived 30 m continuous field tree   cover data, Remote Sensing of Environment, Volume 165, Pages 234-248.

Wagner, J. E. and Stehman, S. V. (2015). Optimizing sample size allocation to strata for estimating area and map   accuracy. Remote Sensing of Environment, 168: 126-133.

2014

Olofsson, P., Foody, G. M., Herold, M., Stehman, S. V., Woodcock, C. E. and Wulder, M. A. (2014). Good Practices for   Assessing Accuracy and Estimating Area of Land Change. Remote Sensing of Environment, 148:42-57.

Tsendbazar, N. E., S. de Bruin, M. Herold (2014).  Assessing global land cover reference datasets for different user   communities. ISPRS Journal of Photogrammetry and Remote Sensing, DOI: 10.1016/j.isprsjprs.2014.02.008

Stehman, S. V. (2014). Estimating area and map accuracy for stratified random sampling when the strata are different   from the map classes. International Journal of Remote Sensing 35.13: 4923-4939.

2013

Olofsson, P., G.M. Foody, S.V. Stehman, and C.E. Woodcock (2013). Making better use of accuracy data in land
  change studies:  estimating accuracy and area and quantifying uncertainty using stratified estimation. Remote
  Sensing of Environment, 129:122-131.

Gallego, F. J. and Stibig, H. J. (2013). Area estimation from a sample of satellite images: the impact of stratification on   the clustering efficiency. International Journal of Applied Earth Observation and Geoinformation, 22: 139-146.

2012

Olofsson, P., Stehman, S.V., Woodcock, C.E., Friedl, M.A. Sulla-Menashe, D., Sibley, A.M., Newell, J.D. and M. Herold   (2012). A global land cover validation data set, I:  Fundamental Design principles, International Journal of Remote
  Sensing 33(18):5768-5788.

Stehman, S.V., Olofsson, P., Woodcock, C.E., M. Herold , and M.A. Friedl, (2012). A global land cover validation
  data set, II:  Augmenting a stratified sampling design to estimate accuracy by region and land-cover class, IJRS,
  33(22), pp. 6975-6993.

Bontemps, S.; Herold, M.; Kooistra, L.; van Groenestijn, A.; Hartley, A.; Arino, O.; Moreau, I.; Defourny, P. (2012).   Revisiting land cover observations to address the needs of the climate modeling community, Biogeosciences
  p. 2145-2157.

Defourny, P.; Mayaux, P.; Herold, M.; Bontemps, S. (2012) Global land-cover map validation experiences:  Toward
  the characterization of uncertainty, In:  Remote Sensing of Land Use and Land Cover:  Principles and Applications
  Giri, C.P., Boca Raton, Taylor & Francis series remote sensing applications: CRC Press, p. 207-224.

Herold, M.; Gregorio, A. di (2012) Evaluating land-cover legends using the UN Land-Cover Classification System, In:
  Remote Sensing of Land Use and Land Cover: Principles and Applications / Giri, C.P., Boca Raton: CRC Press,
  Taylor & Francis series remote sensing applications, p. 65-90.

Herold, M.; Kooistra, L.; Groenestijn, A. van; Defourny, P.; Schmullius, C.; Vasileios, K.; Arino, O. (2012) Building
  saliency, legitimacy, and credibility toward operational global and regional land-cover observations and
  assessments in the context of international processes and observing essential climate variables, In:  Remote
  Sensing of Land Use and Land Cover: Principles and Applications / Giri, C.P., Boca Raton:  CRC Press, Taylor &
  Francis series remote sensing applications, p. 397-414.

2006

Strahler, A. H., Boschetti, L., Foody, G. M., Friedl, M. A., Hansen, M. C., Herold, M., Mayaux, P., Morisette, J. T.,   Stehman, S. V. and Woodcock, C. E. (2006). Global land cover validation: Recommendations for evaluation and   accuracy assessment of global land cover maps. European Communities, Luxembourg, 51(4).