This paper focuses on automatic object classification capabilities of very high resolution remote sensing data for the mapping of floods. Further it focuses on the settlement characteristics of the central part of the Ljubljana moor in terms of flood risk. Results of object-based classification are evaluated in terms of performance of flooded areas detection in a very flat, but heterogeneously structured environment. We also outline the process of colonization, indicate areas in which the settlement is continuous, and relation of placing new houses to the older ones.
COBISS.SI-ID: 34667565
This paper presents, compares, and evaluates different visualisation techniques of high-resolution digital elevation models (DEMs) for visual detection of archaeological features. The methods commonly used in archaeology are reviewed and improvements are suggested. Where a single method must be chosen i.e. for printing or producing digital images for non-professionals, the use of sky view factor or slope gradient is endorsed, both presented in greyscale. Otherwise interpreters should choose different techniques on different terrain types.
COBISS.SI-ID: 34739757