Contribution in an anthology

Appeared in: Geoinformatics paves the Highway to Digital Earth

Editor list: Schiewe, Jochen; Michel, Ulrich

Publication year: 2008

Pages: 29-32

URL: https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201001305112

Title of series: Gi-reports@372igf

Number in series: 8

Abstract: 

The use of high spatial resolution data dramatically prolongs computer processing time when analysing large areas. For example, the duration of Moving Window analysis, a method that is widely used for calculating landscape metrics, not only increases with win-dow size but also with the amount of underlying data. An algorithm was developed to alleviate this problem. It was implemented in the new program SLICER 1.0. The algorithm utilizes a maximum of information from previous computing operations and therefore reduces processing time by a factor of more than 1E+06. The current version of SLICER is confined to quadratic windows and al-lows for calculating three landscape metrics. Here we compare the results of two landscape metrics (Shannon diversity index, Inter-spersion and Juxtaposition index) calculated by means of SLICER 1.0 with those gained by applying a conventional algorithm. The computational results are very similar, but SLICER 1.0 proved to have a much shorter processing time. The algorithm will be further refined to include additional landscape metrics and to be applicable to octagonal windows.

Harvard Citation style: Gottschalk, T., Bertling, M., Wolters, V. and Beirmann, J. (2008) A new MW algorithm to speed up landscape index calculation of high resolution maps, in Schiewe, J. and Michel, U. (eds.) Geoinformatics paves the Highway to Digital Earth. Osnabrück: Institut für Geoinformatik und Fernerkundung, pp. 29-32. https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201001305112

APA Citation style: Gottschalk, T., Bertling, M., Wolters, V., & Beirmann, J. (2008). A new MW algorithm to speed up landscape index calculation of high resolution maps. In Schiewe, J., & Michel, U. (Eds.), Geoinformatics paves the Highway to Digital Earth (pp. 29-32). Institut für Geoinformatik und Fernerkundung. https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201001305112