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Selection: Stehman:SV [3 articles] 

Publications by author Stehman:SV.

Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover

Remote Sensing of Environment, Vol. 212 (June 2018), pp. 47-59,


[Highlights] [::] Use of VGI in design-based inference requires adhering to rigorous protocols. [::] Collecting VGI using a probability sample is best option for design-based inference. [::] Certainty stratum approach incorporates VGI to reduce standard errors. [::] Incorporating VGI in a model-assisted estimator is beneficial in limited situations. [::] VGI from non-probability sample requires difficult to verify assumptions. [Abstract] Volunteered Geographic Information (VGI) offers a potentially inexpensive source of reference data for estimating area and assessing map accuracy in the context of remote-sensing based land-cover monitoring. The quality ...


Practical Implications of Design-Based Sampling Inference for Thematic Map Accuracy Assessment

Remote Sensing of Environment, Vol. 72, No. 1. (April 2000), pp. 35-45,


Sampling inference is the process of generalizing from sample data to make statements or draw conclusions about a population. Design-based inference is the inferential framework commonly invoked when sampling techniques are used in thematic map accuracy assessment. The conceptual basis of design-based inference is described, followed by discussion of practical implications of design-based inference, including (1) the population to which the inferences apply, (2) estimation formulas and their justification, (3) interpretation of accuracy measures, (4) representation of variability, (5) effect of ...


Public perceptions of the USDA Forest Service public participation process

Forest Policy and Economics, Vol. 3, No. 3-4. (November 2001), pp. 113-124,
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