Associating land use/cover information with land parcels represented in LADM

Abstract

LADM design requires the association of external land use/cover information with cadastral land parcels. In addition to model design, related specifications are to be defined in the implementation. Yet, there are many severe obstacles against defining such specifications that are applicable to all cases. In this context, there are many different types of land use/cover classification systems for different purposes in different data quality, scale and content, which are either designed internationally or nationally. FAO Land Cover Classification System (LCCS), CORINE land cover, INSPIRE land use/cover themes, land use capability classification and Land Parcel Identification System (LPIS) are common international examples.In this study, management of spatial land use/cover data in association with cadastral land parcels represented by LADM was studied in a pilot study area in Turkey. In this context, association of spatial information as sub-divisions of land parcels (sub-parcels) was studied. Different land use/cover data sets (four types) were specifically produced for this study with an LPIS like digitization method. For the association, special overlay operations with and without predefined XY tolerances were carried out. Effects of similar yet different data sets, spatial data consistency between the produced sub-parcel data sets and land parcels, and also errors were analyzed based on the results. It is found (1) that the level of detail (base production scale) of external land use/cover data set increases spatial association errors, (2) that using XY tolerances to reduce these errors causes data inconsistency and (3) that direct spatial harmonization of two data set may be a robust solution when it is possible. In this context, in order to contribute to the implementation of LADM in terms of spatial association of land parcels and external land use/cover data, together with these data processing and analysis work, LADM modelling abstraction, availability and data quality issues of external land use/cover data, updating and maintenance issues were also discussed.