First classification done

Last week I conducted my first supervised CART classification of a subset of my study area in eCognition. I based it on a set of training points, and allowed the classification to develop “signatures” based on the object’s mean reflectances, mean slope, standard deviation of NDVI (as a measure of homogeneity), asymmetry, border index (how…

Training data collection

When conducting a classification of land cover or land use, it’s helpful to have training data that can be used as input in statistical classification algorithms, or simply as a support for yourself. These points can be collected on the ground, by visiting different locations and taking GPS points, which is a rather time, energy…

New Year, Same Research

A new year has begun and today is the first day that I’m sitting down and working on my dissertation, even though it’s a public holiday in Sweden (13 days after Christmas).  After a well needed Christmas break I’m now planning the research and other work of 2014. PhD students at my faculty are all…