Sampling designs for accuracy assessment of land cover

By Stephen V. Stehman. 2009

422 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Geography, Planning and Development

View Paper: https://www.semanticscholar.org/paper/8fbc2cd1375a51f3fcd5bc98faeee10baef8509a

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In Ecology

In Environmental Engineering

In Geography, Planning and Development

Citations in the corpus

Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective* (2016, background): “Validating maps of pest damage derived from remote sensing There is a considerable body of literature concerning the assessment of accuracy for a product derived from remote sensing imagery (Foody 2002; Congalton and Green 2009; Stehman 2009; Olofsson et al. 2014).”
Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment (2011, methodology): “In those cases, a sampling strategy is typically implemented to collect a sample of reference data from the landscape (Stehman and Czaplewski 1998 , Stehman 2009 ).”
Aboveground carbon loss in natural and managed tropical forests from 2000 to 2012 (2015, background): “Separate per-continent sample allocations reduced continent-level standard errors for estimates of area of forest cover loss and overall accuracy (Stehman 2009).”
Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series (2017, background): “Although some studies about the ad-hoc selection of samples in order to reduce training set sizes exist [9,10], the impact of the scarcity and spatial distribution of reference data for the mapping of large areas using supervised classification has not been assessed in the literature.”
Assessing the accuracy of land cover change with imperfect ground reference data (2010, methodology): “15 believed to be of higher quality than the remote sensing based classification that being evaluated (Stehman, 2009).”
Good practices for estimating area and assessing accuracy of land change (2014, background): “Stehman (2009) provides a more expansive review of sampling design options and discusses how these designs fulfill different objectives and desirable design criteria.”
Land cover 2.0 (2018, background): “…protocols and sampling designs for the collection of calibration and validation data have matured over time (e.g. Janssen et al. 1994; Foody 2002, Stehman 2009; Stehman 2013) with increased emphasis on calibration data needs relative to speci ﬁ c data inputs (i.e. time series, Pelletier et al.…”