부산대학교 도서관

Project managers often struggle with the need of sufficient reference data to train and test for reliable classifications and budget concerns that restrain the amount of justifiable field data collection. For a forest study, we supplemented our 207 ground-measured field sites with 4000 additional photo-interpreted reference sites. We first used aerial photography to identify the extent of homogenous regions around field-data sites and then picked additional reference points within these areas. This approach is based on the notion that similar-appearing areas close to a measured vegetation plot will contain approximately the same mix and density of species as the known site. This resulted in clusters of additional data points around actual field locations. We avoided overestimating the classification accuracy du to spatial autocorrelation by using an entire cluster of reference points exclusively as training or test data. [ABSTRACT FROM AUTHOR]