Volume XLI-B2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 491-495, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-491-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 491-495, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-491-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  08 Jun 2016

08 Jun 2016

MEASURE LANDSCAPE DIVERSITY WITH LOGICAL SCOUT AGENTS

E. Wirth1, G. Szabó1, and A. Czinkóczky2 E. Wirth et al.
  • 1Dept. of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, 1111 Budapest, Hungary
  • 2Lab. of Spatial Analysis and Environment, Szent István University, 2103 Gödöllő, Hungary

Keywords: agent-based, diversity, heterogeneity, greening, simulation, land cover, potential, random walk, scouting

Abstract. The Common Agricultural Policy reform of the EU focuses on three long-term objectives: viable food production, sustainable management of natural resources and climate action with balanced territorial development. To achieve these goals, the EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity. Current paper introduces an agent-based method to calculate the potential of landscape diversity. The method tries to catch the nature of heterogeneity using logic and modelling as opposed to the traditional statistical reasoning. The outlined Random Walk Scouting algorithm registers the land cover crossings of the scout agents to a Monte Carlo integral. The potential is proportional with the composition and the configuration (spatial character) of the landscape. Based on the measured points a potential map is derived to give an objective and quantitative basis to the stakeholders (policy makers, farmers).