Objetivo The model and automated technology for Land Cover classification (TLCC) Reliable multi-purpose land cover data is the key basis for a multitude of applications in environmental management and spatial planning. It results in multiple land cover datasets serving these domains at various levels. Based on the experiences with activities both on European and NIS level, the Technology of Land Cover Classification (TLCC) project aims to create the standardized, well-documented and formalized model and technology for automated land cover classification ensuring classification robustness and guarantee compatibility and quality of production. In order to achieve these objectives, the TLCC project has to investigate the number of fundamental research issues present both at the level of multi-purpose land cover nomenclature specification, class model classification definition as well as practical implementation of such models.In particular, the project will focus on following tasks: definition of user requirements for a multi-scale land cover information product based both on European and NIS user platform experiences; creation of multi-level conceptual model of classification procedures; development of new models and algorithms of data fusion; development of post-classification models using elementary land cover classes; creation of demonstration software modules for new models and algorithms based on the state-of-the-art ENVI/IDL and DEFiNiENS eCognition technological platform; development of validation methodology of classification results; development of User Manual for carrying out of classification; development of User Manual for validation of the classification results; validation of results for test sites located in different landscape zones.By bridging the long term experiences of the EU partners (GISAT, DIAS) from realization of European land cover related projects and the NIS partners (DSC, CASRE, IBA, UIIP) from their wide-ranging automated land cover classification activities, the TLCC project aims to contribute to the current European actions linked to the GMES Fast Track/CLC2006 update process and towards ongoing specification and development for operational EU land cover service from 2008 on. The project outputs will contribute also into the INSPIRE and to other GMES land monitoring projects. Technology of the Land Cover Classification (TLCC) creation is carried out according to the National Space Program of Ukraine as part of Ukrainian GMES segment. More, the Ukraine national technical committee of standardization is aiming to introduce TLCC as the Ukrainian land cover-mapping standard. Palabras clave Earth Observation Technologies & Remote Sensing Environmental Monitoring & Assessment Forestry) Terrestrial Ecology (Agriculture Programa(s) IC-INTAS - International Association for the promotion of cooperation with scientists from the independent states of the former Soviet Union (INTAS), 1993- Tema(s) Data not available Convocatoria de propuestas Data not available Régimen de financiación Data not available Coordinador GISAT LTD Aportación de la UE Sin datos Dirección CHARKOVSKA ST., 7 PRAGUE Chequia Ver en el mapa Coste total Sin datos Participantes (5) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo DANISH INSTITUTE OF AGRICULTURAL SCIENCES Dinamarca Aportación de la UE Sin datos Dirección BLICHERS ALLÉE, 20 TJELE Ver en el mapa Coste total Sin datos DNIPROCOSMOS STATE COMPANY Ucrania Aportación de la UE Sin datos Dirección KRYVORIZKA STR., 3 DNIEPROPETROVSK Ver en el mapa Coste total Sin datos INSTITUTE OF AGROECOLOGY OF THE UKRAINIAN ACADEMY OF AGRARIAN SCIENCES Ucrania Aportación de la UE Sin datos Dirección METROLOGICHNA, 12 KYIV Ver en el mapa Coste total Sin datos SCIENTIFIC CENTRE FOR AEROSPACE RESEARCH OF THE EARTH, IGS NASU Ucrania Aportación de la UE Sin datos Dirección OLES GONCHAR STR., 55B KYIV Ver en el mapa Coste total Sin datos UNITED INSTITUTE OF INFORMATICS PROBLEMS OF NASB Bielorrusia Aportación de la UE Sin datos Dirección SURGANOV STREET, 6 MINSK Ver en el mapa Coste total Sin datos
