I recently needed to develop a way of detecting water bodes in a Landsat image in order to mask them. Here's a surprisingly robust solution that's easy to implement.

For ongoing work I'm doing with Landsat data, I recently needed to generate some quick validation points against high-resolution aerial photography. I wanted to generate a fixed number of random rectangles, 90-meters squared (3 by 3 Landsat pixels), within the extent of a high-resolution aerial photograph I was using as …

I experimented with Bayesian networks for land cover classification in the Detroit metro area using census data as predictors. An example of using Bayesian networks for land cover classification in R is presented with code samples.