Open AccessMEASURE LANDSCAPE DIVERSITY WITH LOGICAL SCOUT AGENTS
Author(s) -
E. Wirth,
G. Szabó,
A. Czinkóczky
Publication year - 2016
Publication title -
the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 71
eISSN - 1682-1777
pISSN - 1682-1750
DOI - 10.5194/isprsarchives-xli-b2-491-2016
Subject(s) - subsidy , diversity (politics) , common agricultural policy , measure (data warehouse) , computer science , land cover , sustainable development , environmental resource management , term (time) , agriculture , geography , environmental economics , land use , ecology , economics , sociology , data mining , physics , archaeology , quantum mechanics , biology , anthropology , market economy
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).