Spatial indicators for nature conservation from European to local scale

被引:78
作者
Bock, M
Rossner, G
Wissen, M
Remm, K
Langanke, T
Lang, S
Klug, H
Blaschke, T
Vrscaj, B
机构
[1] DLR, German Aerosp Ctr, DFD, Dept Environm & Geoinformat, D-51147 Cologne, Germany
[2] Univ Tartu, Inst Geog, EE-51014 Tartu, Estonia
[3] Salzburg Univ, Z GIS Ctr Geoinformat, Salzburg, Austria
[4] Univ Ljubljana, Biotech Fac, CSES, SI-1000 Ljubljana, Slovenia
关键词
baseline geometry; case-based reasoning; habitat mapping; landscape metrics; land cover change; object-based classification; remote sensing; soil map modelling;
D O I
10.1016/j.ecolind.2005.03.018
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The paper presents an overview of the objectives and exemplary results of the FP 5 project "Spatial Indicators for European Nature Conservation" (SPIN). The SPIN project is focused on the development and testing of advanced classification methods and spatial indicators based on multisensor satellite data and GIS to accomplish monitoring and management tasks in the context of Natura 2000 and nature conservation. A representative selection of eight regional test areas covers a pan-European network and allows comparative investigations to provide accepted recommendations for regional and European nature conservation. The selected results of four case studies are presented and discussed. The range of work covers the production of regional and local habitat maps by object-oriented classification, a case-based reasoning method for change detection as a management support tool for planning and regulating local land use, the selection and application of structural indicators for the monitoring of Natura 2000 habitats and the downscaling and disaggregation of soil information. Results and the further implementation of presented methods are discussed in the conclusions. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:322 / 338
页数:17
相关论文
共 30 条
  • [1] The omnipresence of case-based reasoning in science and application
    Aha, DW
    [J]. KNOWLEDGE-BASED SYSTEMS, 1998, 11 (5-6) : 261 - 273
  • [2] Antunes F., 2003, ANAIS 11 SBSR, P273
  • [3] Blaschke T, 2001, ENVIRONMENTAL INFORMATION SYSTEMS IN INDUSTRY AND PUBLIC ADMINISTRATION, P75
  • [4] BLASCHKE T, 2000, CORP 2000 COMPUTERGE, V1, P153
  • [5] BOCK M, 2003, D7 SPIN, P9
  • [6] A multi-scale segmentation/object relationship modelling methodology for landscape analysis
    Burnett, C
    Blaschke, T
    [J]. ECOLOGICAL MODELLING, 2003, 168 (03) : 233 - 249
  • [7] Burnett C., 2003, ECOHYDROLOGICAL PROC, P239
  • [8] *DEF, 2001, EC US GUID MUNCH
  • [9] *EC, 1998, 18092EN EUR EC ESB
  • [10] ESCH T, 2003, REMOTE SENSING URBAN, P1682