Project description: The main objective of project proposal (CLASS) is the development of an innovative accuracy assessment system applied to forest-cover maps, based on the use of remotely sensed data with higher resolution in order to scale down the accuracy assessment process. The system carries out a multi-scale hierarchical approach based on different sensor data. Especially, specific methods and tools are defined that allow assessing the map accuracy based on more detailed classified maps of selected sample units. The implementation of the accuracy assessment system constitutes a prototype GIS (Geographical Information System) application. Geospatial functionalities are integrated in the development of the methods and tools defined for assessing the accuracy of classified maps by means of remotely sensed data. The application of the proposed system offers the advantage of an (semi-) automated and reproducible approach and therefore it lays the bases for a further standard solution based on the remotely sensed data for an automated accuracy assessment. In addition, the accuracy assessment system could result very useful for assessing the accuracy of global forest-cover maps. The proposed (semi-) automated approach could greatly simplify and expedite the task of validating the classified forest-cover maps, so that they can readily be performed for measuring forest variables and changes. More generally the application could be useful for the validation of thematic land cover maps, such as the High Resolution layers developed in the Fast Track Service Precursor of GMES and foreseen in the GMES Initial Operations 2011-2013 and the future involments resulting from the Guidelines of INSPIRE annex II theme Land Cover. Then, the use of this application could decrease the expenditures for assessing the accuracy in the GMES programme, which, for example, required for the Corine Land Cover 2009 two country visits for each of the 38 countries participating to the project. Topic: SPA.2010.1.1-04 -Stimulating the Development of GMES Services in Specific Areas

Partner sought Type: University, Government/public Institution
Country: EU except Italy and Spain, all Associated Countries, Mediterranean countries
Expertise required: production and validation of forest-cover maps based on field survey data, end-user expertise in classification accuracy assessment systems

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