Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures

Remote Sensing, 2012, 4(3), 784-809

Tomaž Podobnikar

“The detection of peaks (summits) as the upper parts of mountains and the delineation of their shape is commonly confirmed by inspections carried out by mountaineers. In this study the complex task of peak detection and shape delineation is solved by autometric methodological procedures, more precisely, by developing relatively simple but innovative image-processing and spatial-analysis techniques (e.g., developing inventive variables using an annular moving window) in remote sensing and GIS domains. The techniques have been integrated into automated morphometric methodological procedures. The concepts of peaks and their shapes (sharp, blunt, oblong, circular and conical) were parameterized based on topographic and morphologic criteria.

“A geomorphologically high quality DEM was used as a fundamental dataset. The results, detected peaks with delineated shapes, have been integratively enriched with numerous independent datasets (e.g., with triangulated spot heights) and information (e.g., etymological information), and mountaineering criteria have been implemented to improve the judgments. This holistic approach has proved the applicability of both highly standardized and universal parameters for the geomorphologically diverse Kamnik Alps case study area. Possible applications of this research are numerous, e.g., a comprehensive quality control of DEM or significantly improved models for the spatial planning proposes.”

What Multipliers Don’t Tell You: A Spatial Analysis of Farm Household Linkages

86th Annual Conference of the Agricultural Economics Society, 16-18 April 2012

Kate Pangbourne and Deborah Roberts

“Agricultural policy and farm lobby groups often stress the role of farm production in sustaining local economies. This paper considers the spatial pattern of the upstream and downstream agricultural transactions of farms in North East Scotland and, in particular, the extent to which they take place within the locality of the farm holding. Three alternative definitions of “local” are considered: a distance based measure; a measure which takes into account the location of the farm in relation to the nearest town; and finally a measure which takes into account the location of input suppliers/output purchasers.

Cattle Sales, main locations

Cattle Sales, main locations

“The results are shown to vary qualitatively according to the definition of local adopted, highlighting the importance of allowing for context as well as demand-side factors when explaining purchasing and sales decisions. A highly complex pattern of production-related linkages in the region is revealed. Certain towns are found to dominate agriculture-related transactions in the region reflecting the spatial concentration of upstream and downstream agribusinesses. Probit analysis suggests that farm size, farm type and risk attitudes influence output sales patterns. The policy implications of the findings are considered.”