Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/81566
Type of publication: research article
Type of publication (PDB): Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)
Field of Science: Miškotyra / Forestry (A004)
Author(s): Mozgeris, Gintautas;Kuliešis, Andrius;Kuliešis, Andrius A
Title: Looking for new solutions in delineating forest stands: segmentation of multi-source data
Is part of: Application of remote sensing in forestry, Zvolen, September 12-14, 2000 : Proceedings. 3 International Symposium/ Technical University in Zvolen. Faculty of Forestry. Department of Forest Management and Geodesy. Zvolen, 2000
Extent: p. 123-132
Date: 2000
Keywords: Remote sensing;Satellite images;Standwise forest inventory;Segmentation
ISBN: 8096849409
Abstract: Up to date the main source of forest related information in Lithuania remains the standwise forest inventory. Delineation of stands all the time was based on the use of aerial photography. Changing economic conditions and new approaches in using satellite and GIS data requires looking for new solutions in conventional forest inventory techniques. This presentation would dea] with testing segmentation method for generating possibly homogeneous in terms of forestry variables units, corresponding to forest stands. The data sei of multi-source information, to be used for segmentation, consists of Spot and Landsai images, digital aerial photographs, old forest maps, boundaries of cutting areas, soil maps, digital elevation model, general GIS dala. A systematic network of field plots (Apr. 8 plots per ha) was developed for the test area. Minimization of within stand variance of main foresi parameters and correspondence with the expert-done stand discretization are used as the main criterions for assessment the segmentation results. The very first results indicate the possibility to achieve segmentation accuracy acceptable for forest inventory aims
Internet: https://hdl.handle.net/20.500.12259/81566
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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