Mapping river floodplain ecotopes by segmentation of spectral (CASI) and structural (LiDAR) remote sensing data Export

@article{citeulike:5289007, abstract = {Floodplain land cover maps are important tools for river management and ecological assessment. These maps have to be revised regularly due to the dynamic nature of floodplains. Automation of the mapping process cuts the map processing time and can increase overall accuracy. Manual delineation and classification of vegetation is based on colour, contrasts (texture) and often-stereoscopic view of aerial images. In this study, this is mimicked by the simultaneous use of both structural light detection and ranging (LiDAR) and compact airborne spectral imager (CASI) remote sensing data in an image segmentation routine fractal net evolution approach (FNEA). The segmentation results are tested against manually delineated ecotopes. Ecotope delineation improves when LiDAR and CASI are used simultaneously; the combination significantly lowers the number of segmented objects needed to accurately map ecotopes. Overall map accuracy of the LiDAR and CASI combination is 8-19\% higher than single CASI and LiDAR, respectively. Copyright {\copyright} 2009 John Wiley \& Sons, Ltd.}, address = {Faculty of Science, Institute for Science, Innovation and Society, Centre for Sustainable Management of Resources, Radboud University Nijmegen, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands; AGI, Ministry of Transport, Public Works and Water Management, P.O. Box 5023, 2600 GA Delft, The Netherlands; RIZA, Ministry of Transport, Public Works and Water Management, P.O. Box 9072, 6800 ED, Arnhem, The Netherlands; Department of Environmental Science, Faculty of Science, Institute for Wetland and Water Research, Radboud University Nijmegen, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands}, author = {Geerling, G. W. and Vreeken-Buijs, M. J. and Jesse, P. and Ragas, A. M. J. and Smits, A. J. M.}, citeulike-article-id = {5289007}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/rra.1181}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/121642400/ABSTRACT}, doi = {10.1002/rra.1181}, issn = {1535-1467}, journal = {River Research and Applications}, keywords = {airborne, casi, ecotope, gis, laser, lidar, management, map, monitoring, remote, river, scanning, segmentation, sensing}, number = {7}, pages = {795--813}, posted-at = {2009-07-28 10:16:38}, priority = {2}, title = {Mapping river floodplain ecotopes by segmentation of spectral (CASI) and structural (LiDAR) remote sensing data}, url = {http://dx.doi.org/10.1002/rra.1181}, volume = {25}, year = {2009} }

TY - JOUR ID - citeulike:5289007 L3 - citeulike-article-id:5289007 N2 - Floodplain land cover maps are important tools for river management and ecological assessment. These maps have to be revised regularly due to the dynamic nature of floodplains. Automation of the mapping process cuts the map processing time and can increase overall accuracy. Manual delineation and classification of vegetation is based on colour, contrasts (texture) and often-stereoscopic view of aerial images. In this study, this is mimicked by the simultaneous use of both structural light detection and ranging (LiDAR) and compact airborne spectral imager (CASI) remote sensing data in an image segmentation routine fractal net evolution approach (FNEA). The segmentation results are tested against manually delineated ecotopes. Ecotope delineation improves when LiDAR and CASI are used simultaneously; the combination significantly lowers the number of segmented objects needed to accurately map ecotopes. Overall map accuracy of the LiDAR and CASI combination is 8-19% higher than single CASI and LiDAR, respectively. Copyright © 2009 John Wiley & Sons, Ltd. IS - 7 JF - River Research and Applications SN - 1535-1467 AD - Faculty of Science, Institute for Science, Innovation and Society, Centre for Sustainable Management of Resources, Radboud University Nijmegen, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands; AGI, Ministry of Transport, Public Works and Water Management, P.O. Box 5023, 2600 GA Delft, The Netherlands; RIZA, Ministry of Transport, Public Works and Water Management, P.O. Box 9072, 6800 ED, Arnhem, The Netherlands; Department of Environmental Science, Faculty of Science, Institute for Wetland and Water Research, Radboud University Nijmegen, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands EP - 813 TI - Mapping river floodplain ecotopes by segmentation of spectral (CASI) and structural (LiDAR) remote sensing data VL - 25 SP - 795 KW - airborne KW - casi KW - ecotope KW - gis KW - laser KW - lidar KW - management KW - map KW - monitoring KW - remote KW - river KW - scanning KW - segmentation KW - sensing AU - Geerling, GW AU - Vreeken-Buijs, MJ AU - Jesse, P AU - Ragas, AMJ AU - Smits, AJM PY - 2009/// UR - http://dx.doi.org/10.1002/rra.1181 ER -