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Open AccessArticle

Dasymetric Mapping Using UAV High Resolution 3D Data within Urban Areas

Interdisciplinary Centre of Social Sciences (CICS.NOVA), Faculty of Social Sciences and Humanities, (NOVA FCSH), Universidade NOVA de Lisboa, Av. de Berna, 26-C, 1069-061 Lisboa, Portugal
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Remote Sens. 2019, 11(14), 1716; https://doi.org/10.3390/rs11141716
Received: 29 May 2019 / Revised: 4 July 2019 / Accepted: 13 July 2019 / Published: 19 July 2019
(This article belongs to the Special Issue Remote Sensing for Urban Morphology)
Multi-temporal analysis of census small-area microdata is hampered by the fact that census tract shapes do not often coincide between census exercises. Dasymetric mapping techniques provide a workaround that is nonetheless highly dependent on the quality of ancillary data. The objectives of this work are to: (1) Compare the use of three spatial techniques for the estimation of population according to census tracts: Areal interpolation and dasymetric mapping using control data—building block area (2D) and volume (3D); (2) demonstrate the potential of unmanned aerial vehicle (UAV) technology for the acquisition of control data; (3) perform a sensitivity analysis using Monte Carlo simulations showing the effect of changes in building block volume (3D information) in population estimates. The control data were extracted by a (semi)-automatic solution—3DEBP (3D extraction building parameters) developed using free open source software (FOSS) tools. The results highlight the relevance of 3D for the dasymetric mapping exercise, especially if the variations in height between building blocks are significant. Using low-cost UAV backed systems with a FOSS-only computing framework also proved to be a competent solution with a large scope of potential applications. View Full-Text
Keywords: building parameters; 3D point cloud; free open source software; Monte Carlo simulations; census building parameters; 3D point cloud; free open source software; Monte Carlo simulations; census
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MDPI and ACS Style

Rebelo, C.; Rodrigues, A.M.; Tenedório, J.A. Dasymetric Mapping Using UAV High Resolution 3D Data within Urban Areas. Remote Sens. 2019, 11, 1716.

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