2014
DOI: 10.2112/si70-081.1
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Methodology for the development of 3D GIS models in the Coastal Zone

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Cited by 10 publications
(5 citation statements)
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“…Future research on this approach that combines LULC change trajectory analysis and spatial pattern metrics needs to focus on analysing to what extent the quantitative and analytical results of LULC change detection are affected using multitemporal and multi-resolution imagery as data sources. It should also focus on enriching this approach with the creation of new spatial pattern metrics based on 3D data [59] that may improve our understanding of LULC changes that occur in very dynamic areas [60,61]…”
Section: Discussionmentioning
confidence: 99%
“…Future research on this approach that combines LULC change trajectory analysis and spatial pattern metrics needs to focus on analysing to what extent the quantitative and analytical results of LULC change detection are affected using multitemporal and multi-resolution imagery as data sources. It should also focus on enriching this approach with the creation of new spatial pattern metrics based on 3D data [59] that may improve our understanding of LULC changes that occur in very dynamic areas [60,61]…”
Section: Discussionmentioning
confidence: 99%
“…Last but not least, the current study on modeling the urban greenness considers the two-dimensional scope only. There are several studies that have focused on 3D perspective by taking point cloud data and 3D GIS modeling to explore vertical structure in urban vegetation distribution [11,42,43]. Those studies rely on more complicated data collection such as LiDAR sensors and provide a different view on the urban vegetation pattern, which deserves future attention by integrating the 3D data and the proposed Frag modeling.…”
Section: Further Improvementmentioning
confidence: 99%
“…Applications of remote sensing technology have facilitated mapping urban vegetation over large areas [10]. Urban vegetation can be mapped not only from two-dimensional perspective using spectral sensors [10] but also from three-dimensional (3D) view via LiDAR sensors [10,41] or 3D GIS modeling [11,42,43]. To the best of our knowledge, no single indicator can simultaneously measure the abundance and fragmentation of urban vegetation cover.…”
Section: Introductionmentioning
confidence: 99%
“…The use of 3D GIS has been limited to urban planning and visualization via city models (Zhang et al, 2004;Zlatanova et al, 2002) until recently, but new developments in computer technologies have expanded its limits. Several studies have investigated and integrated 3D components in their GIS, in terms of spatial, semantics and analysis (Magarotto et al, 2014;Jihui et al, 2016;Wang et al, 2015;Huang et al, 2016;Scianna, 2013;Landeschi et al, 2016;Hu et al, 2015;Li et al, 2015). Wate et al (2013) have emphasized the importance of true 3D GIS functionality such as efficient querying 3D geo-objects, 3D analyses (3D overlay, 3D buffering, 3D shortest route), 3D inter-visibility in their study.…”
Section: Introductionmentioning
confidence: 99%