Cover ImageCover Image
Air Survey Corporation, Sterling, Virginia, obtained the cover imagery on 13 October 1995, at an altitude of 24,000 feet, as part of annual high altitude flyover for the entire Baltimore/Washington metropolitan area. The total coverage includes the area from the state line between Maryland and Pennsylvania to the south of Fredericksburg, Virginia, and from the Chesapeake Bay to the Shenandoah Valley. The camera used was a Zeiss RMK Top 15, owned by AeroMetric, Inc. of Sheboygan, Wisconsin, and was equipped with a 6" focal length lens.
Peer-Reviewed Articles (Click the linked titles to see the full abstract)
377-391 Modeling Uncertainty in Photointerpreted
Boundaries
G. Edwards and K.E. Lowell
A quantitative analysis of the effects of the discrimination and variability components of photointerpretation led to a model relating these components to fuzzy boundary widths.
393-399 Evaluation of the Potential for Providing
Secondary Labels in Vegetation Maps
Curtis E. Woodcock, Sucharita Gopal, and William Albert
Secondary labels in maps can provide additional data for map users, but questions remain concerning their reliability and how to provide them.
401-407 Estimating the Kappa Coefficient and
Its Variance Under Stratified Random Sampling
Steve Stehman
Empirical results demonstrate that these estimators have little bias, and confidence inter-vals perform well, often even at relatively small sample sizes.
409-412 Unbiased Estimates of Class Proportions
from Thematic Maps
Paul C. Van Deusen
The emphasis is on estimation of the true proportions of each map class under several common sampling designs.
413-417 Natural Constraints for Inverse Area
Estimate Corrections
Ding Yuan
The inverse correction exists if the classifier is minimum practically acceptable, and the inverse is not ill-conditioned (i.e., it is stable) if the classifier is reasonably acceptable.
419-428 Error Propagation through the Buffer
Operation for Probability Surfaces
Howard Veregin
The strength of the relationship between error levels in source and derived layers is affected by the degree to which source probabilities tend to be under- or over-estimated, and by the interaction between buffer size and spatial covariation in source probabilities.
429-433 Estimating Positional Accuracy of Data
Layers within a GIS through Error Propagation
Lawrence V. Stanislawski, Bon A. Dewitt, and Ramesh L. Shrestha
Estimates for combined error associated with electrostatic plotting and manual point-mode digitizing were inversely related to the number of control points up to about 20.