LCDB v4.1 - Land Cover Database version 4.1, Mainland New Zealand

The New Zealand Land Cover Database (LCDB) is a multi-temporal, thematic classification of New Zealand's land cover. It contains 33 mainland classes (35 including the offshore Chatham Islands). The classification has evolved from version to version but backward compatibility has been maintained. Geographic features are described by a polygon boundary, a land cover code, and a land cover name at each of four nominal time steps; summer 1996/97, summer 2001/02, summer 2008/09, and summer 2012/13. The data set is designed to complement in theme, scale and accuracy, Land Information New Zealand’s 1:50,000 topographic database. LCDB is suitable for use in national and regional state-of-environment monitoring, forest and shrubland inventory, biodiversity assessment, trend analysis and infrastructure planning. The classification used in LCDB v4.1 is presented in the document 'LCDBClassesAtVersion4.1.pdf' and a table correlating LCDB classes over all four LCDB versions is presented in the document 'LCDBClassCorrelations.pdf'. Both of these documents are available as an attachment to this dataset in the LRIS portal ( and on the LCDB project site ( LCDB v4.1 was released in July 2015 and includes corrections to all time steps 1996/97, 2001/02, 2008/09 and 2012/13. A description of work undertaken for this release (including that in all earlier releases) is presented in the Lineage section. Of particular note at 4.1 is the re-mapping of Chatham Islands - first mapped at version 2, but then not continued through versions 3.0, 3.3, and 4.0 because of resource constraints. “EditAuthority” and "EditDate" are attributes, maintained since version 3.0 to indicate authorship and nominal date of polygon mapping, edit or change. The data is referenced to the New Zealand Transverse Mercator 2000 projection (NZTM2000) which uses the NZ Geodetic Datum 2000 (NZGD2000). Errors in the data due to misclassification (not changes since mapping) or poor delineation can be reported to Landcare Research for inclusion in the next release using the online feedback mechanisms in


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16 Jul 2015

This dataset was last updated on LRIS Portal on 16 Jul 2015.