Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Stern, Novak, Harlow, and colleagues say compensation due Californians forcibly sterilized under eugenics laws

Burgard and Seelye find job insecurity linked to psychological distress among workers in later years

Former PSC trainee Jay Borchert parlays past incarceration and doctoral degree into pursuing better treatment of inmates

More News

Highlights

Savolainen wins Outstanding Contribution Award for study of how employment affects recidivism among past criminal offenders

Giving Blueday at ISR focuses on investing in the next generation of social scientists

Pfeffer and Schoeni cover the economic and social dimensions of wealth inequality in this special issue

PRB Policy Communication Training Program for PhD students in demography, reproductive health, population health

More Highlights

Next Brown Bag

Mon, Jan 23, 2017 at noon:
H. Luke Shaefer

Simulating error propagation in land-cover change analysis: The implications of temporal dependence

Publication Abstract

Burnicki, A.C., Daniel G. Brown, and P. Goovaerts. 2007. "Simulating error propagation in land-cover change analysis: The implications of temporal dependence." Computers, Environment and Urban Systems, 31:282-302.

We examined factors that affect the propagation of error in analyses of land-cover change classified from multi-temporal satellite imagery by simulating multiple versions of land-cover maps at two times, time-1 and time-2. The maps, each with two categories of land-cover, were produced to investigate three specific attributes that affect change-detection accuracy: (1) the pattern of change that produced a time-2 map from a time-1 map, (2) the spatial patterns of the errors that affected both the time-1 and time-2 maps, and (3) the level of temporal dependence (or correlation) between the patterns of error at each time. The simulated maps were analyzed in a change analysis to assess the relative performance of the error-perturbed maps in identifying and quantifying the known land-cover changes. Accuracy measures, such as overall percent correctly classified and user's accuracy, were calculated to describe the effects of land-cover errors on the accuracy of the change maps under each experimental setting. The results illustrate that temporal dependence of errors in land-cover maps influences both our ability to detect a variety of land-cover changes and the level of error in change maps. The study also illustrates how spatial simulation can be used to investigate patterns of error propagation where assumptions of spatial and/or temporal independence are violated.

DOI:10.1016/j.compenvurbsys.2006.07.005 (Full Text)

Browse | Search : All Pubs | Next