Harmonization of the Land Cover Classification System (LCCS) with the General Habitat Categories (GHC) classification system

Abstract Monitoring land cover and habitat change is a key issue for conservation managers because of its potential negative impact on biodiversity. The Land Cover Classification System (LCCS) and the General Habitat Categories (GHC) System have been proposed by the remote sensing and ecological research community, respectively, for the classification of land covers and habitats across various scales. Linking the two systems can be a major step forward towards biodiversity monitoring using remote sensing. The translation between the two systems has proved to be challenging, largely because of differences in definitions and related difficulties in creating one-to-one relationships between the two systems. This paper proposes a system of rules for linking the two systems and additionally identifies requirements for site-specific contextual and environmental information to enable the translation. As an illustration, the LCCS classification of the Le Cesine protected area in Italy is used to show rules for translating the LCCS classes to GHCs. This study demonstrates the benefits of a translation system for biodiversity monitoring using remote sensing data but also shows that a successful translation is often depending on the degree of ecological knowledge of the habitats and its relationship with land cover and contextual information.

[1]  C. A. Mücher,et al.  Remote Sensing in Landscape Ecology: Experiences and Perspectives in a European Context , 2005, Landscape Ecology.

[2]  Elgene O. Box,et al.  Tasks for Vegetation Science I: Macroclimate and Plant Forms: An Introduction to Predictive Modeling in Phytogeography , 2011 .

[3]  H. Nagendra Review article Using remote sensing to assess biodiversity , 2001 .

[4]  I. C. Prentice,et al.  Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model , 2003 .

[5]  Ramakrishna R. Nemani,et al.  A remote sensing based vegetation classification logic for global land cover analysis , 1995 .

[6]  G. B. Groom,et al.  A standardized procedure for surveillance and monitoring European habitats and provision of spatial data , 2007, Landscape Ecology.

[7]  Rob H. G. Jongman,et al.  Field identification of habitats directive Annex I habitats as a major European biodiversity indicator , 2013 .

[8]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .

[9]  L. Jansen Analysis of land change with parameterised multi-level class sets : exploring the semantic dimension , 2010 .

[10]  Caspar A. Mücher,et al.  Translating land cover/land use classifications to habitat taxonomies for landscape monitoring: a Mediterranean assessment , 2013, Landscape Ecology.

[11]  R. B. Jackson,et al.  Global biodiversity scenarios for the year 2100. , 2000, Science.

[12]  Andrew Nelson,et al.  Delivering a Global, Terrestrial, Biodiversity Observation System through Remote Sensing , 2009, Conservation biology : the journal of the Society for Conservation Biology.

[13]  C. A. Mücher Monitoring Biodiversity Using Remote Sensing and Field Surveys , 2011 .

[14]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[15]  Marta Pérez-Soba,et al.  European framework for surveillance and monitoring of habitats: a methodological approach for Spain , 2006 .

[16]  Dirk S. Schmeller,et al.  European species and habitat monitoring: where are we now? , 2008, Biodiversity and Conservation.

[17]  R. Jongman,et al.  Conversion of European habitat data sources into common standards , 2012 .

[18]  Eren Turak,et al.  Building a global observing system for biodiversity , 2012 .

[19]  Martin Herold,et al.  A joint initiative for harmonization and validation of land cover datasets , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[20]  C. A. Mücher,et al.  Environmental impact of land use: a new basis for analysis. , 1997 .

[21]  Caspar A. Mücher,et al.  Integrating remote sensing in Natura 2000 habitat monitoring: prospects on the way forward , 2011 .

[22]  Christen Raunkiaer,et al.  The life forms of plants and statistical plant geography; being the collected papers of C. Raunkiaer. , 1935 .

[23]  A. D. Gregorio,et al.  Land Cover Classification System (LCCS): Classification Concepts and User Manual , 2000 .

[24]  H. Nagendra Using remote sensing to assess biodiversity , 2001 .

[25]  M. Fladeland,et al.  Remote sensing for biodiversity science and conservation , 2003 .

[26]  D. H. Knight,et al.  Aims and Methods of Vegetation Ecology , 1974 .

[27]  Yongyut Trisurat,et al.  Land Use, Climate Change and Biodiversity Modeling: Perspectives and Applications , 2011 .

[28]  Caspar A. Mücher,et al.  The significance of habitats as indicators of biodiversity and their links to species , 2013 .

[29]  Antonio Di Gregorio,et al.  Land cover classification system (LCCS): classification concepts and user manual for software version 1.0 , 2000 .

[30]  G. B. Groom,et al.  Handbook for Surveillance and Monitoring of European Habitats , 2005 .

[31]  Caspar A. Mücher,et al.  Modelling the spatial distribution of Natura 2000 habitats across Europe , 2009 .

[32]  Antonio Di Gregorio,et al.  Land-use data collection using the “land cover classification system”: results from a case study in Kenya , 2003 .

[33]  Jan G. P. W. Clevers,et al.  A Dutch multi-date land use database: Identification of real and methodological changes , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[34]  Rob H. G. Jongman,et al.  Manual for habitat and vegetation surveillance and monitoring : temperate, mediterranean and desert biomes , 2011 .

[35]  Joint Fao,et al.  Terminology of forest science, technology, practice and products, English-language version , 1971 .

[36]  R. Jongman,et al.  The Pan European Ecological Network: PEEN , 2011, Landscape Ecology.