RT Book,_Section
T1 A Decision Support System for farmland preservation: integration of past and present land use
A1 Corbelle Rico, Eduardo José
A1 Santé Riveira, Inés
A1 Crecente Maseda, Rafael
A2 Thill, Jean-Claude
K1 Decision support system
K1 Land abandonment
K1 Geographic information systems
K1 Automatic classification
K1 Farmland preservation
AB Preservation of agricultural land is a common need in many States and regions in the European Union and worldwide. Underlying reasons for this need are diverse, as are the approaches chosen to facilitate farmland preservation. Zoning is very often the main instrument used to protect agricultural land from urbanization and afforestation. This chapter presents a multi-criteria decision analysis system intended to support zoning decisions. In this study, parcels are used as the unit of analysis. The system of analysis integrates biophysical criteria related to the productivity of land, structural factors related to the efficiency of farming activities and landscape configuration as defined by present and past land use. As an intermediate step to define landscape configuration, a methodology for classification of historical aerial photographs is proposed, based upon object-oriented classification of individual land parcels with the aid of supervised decision trees and ancillary textural information. The resulting decision support system takes the form of a parcel rating system, allowing end users to identify agricultural areas for which protective zoning should be implemented by selecting progressively lower scoring parcels until the desired total area (ideally based upong demand estimates) is satisfied.
PB Springer Heidelberg
SN 978-3-642-37895-9
SN 978-3-642-37896-6
SN 1867-2434
SN 1867-2442
YR 2018
FD 2018
LK https://hdl.handle.net/10347/38540
UL https://hdl.handle.net/10347/38540
LA eng
NO Corbelle-Rico, E., Santé-Riveira, I., & Crecente-Maseda, R. (2018). A Decision Support System for Farmland Preservation: Integration of Past and Present Land Use. En Advances in Geographic Information Science (pp. 173-192). Springer Heidelberg. https://doi.org/10.1007/978-3-642-37896-6_8
DS Minerva
RD 24 abr 2026