Derivation of sky-view factors from lidar data

The use of lidar (light detection and ranging), an active light-emitting instrument, is becoming increasingly common for a range of potential applications. Its ability to provide fine-resolution spatial and vertical-resolution elevation data makes it ideal for a wide range of studies. This article demonstrates the ability of lidar data to measure sky-view factors (ψs). The lidar data are used to generate a spatial map of ψs, which are then compared against photographically derived ψs at selected locations. At each location, three near-surface elevation measurements were taken and compared with collocated lidar-derived estimates. Generally a good agreement was found between the two methodologies, although with decreasing ψs, the lidar technique tended to overestimate ψs. This can be attributed in part to the spatial resolution of the lidar sampling. Nevertheless, airborne lidar systems can easily map ψs over a large area, potentially improving the use of such data in atmospheric and meteorological models.

[1]  Lee Chapman,et al.  A geomatics-based road surface temperature prediction model , 2006 .

[2]  Akira Hirano,et al.  Mapping from ASTER stereo image data: DEM validation and accuracy assessment , 2003 .

[3]  K. Kraus,et al.  Determination of terrain models in wooded areas with airborne laser scanner data , 1998 .

[4]  Martin Charlton,et al.  Application of airborne LiDAR in river environments: the River Coquet, Northumberland, UK , 2003 .

[5]  Fredrik Lindberg,et al.  Computing continuous sky view factors using 3D urban raster and vector databases: comparison and application to urban climate , 2009 .

[6]  Jacques Teller,et al.  Townscope II—A computer system to support solar access decision-making , 2001 .

[7]  A. Habib,et al.  Photogrammetric and Lidar Data Registration Using Linear Features , 2005 .

[8]  K. Challis,et al.  Archaeological resource modelling in temperate river valleys: a case study from the Trent Valley, UK , 2008, Antiquity.

[9]  J. Mendes,et al.  Sky view factors estimation using a 3d-gis extension , 2003 .

[10]  Lee Chapman,et al.  Sky‐view factor approximation using GPS receivers , 2002 .

[11]  Peter F. Fisher,et al.  Causes and consequences of error in digital elevation models , 2006 .

[12]  Lee Chapman,et al.  Real-Time Sky-View Factor Calculation and Approximation , 2004 .

[13]  J. Unger Connection between urban heat island and sky view factor approximated by a software tool on a 3D urban database , 2009 .

[14]  T. Oke Canyon geometry and the nocturnal urban heat island: Comparison of scale model and field observations , 1981 .

[15]  S. Crutchley,et al.  New light on an ancient landscape: lidar survey in the Stonehenge World Heritage Site , 2005, Antiquity.

[16]  Lee Chapman,et al.  Potential Applications of Thermal Fisheye Imagery in Urban Environments , 2007, IEEE Geoscience and Remote Sensing Letters.

[17]  Žiga Kokalj,et al.  Application of sky-view factor for the visualisation of historic landscape features in lidar-derived relief models , 2011, Antiquity.

[18]  J. Garlick,et al.  Near-global validation of the SRTM DEM using satellite radar altimetry , 2007 .

[19]  A. Cliff,et al.  The potential of airborne lidar for detection of archaeological features under woodland canopies , 2005, Antiquity.

[20]  B. Devereux,et al.  Visualisation of LiDAR terrain models for archaeological feature detection , 2008, Antiquity.

[21]  K. Blennow Sky View Factors from High-Resolution Scanned Fish-eye Lens Photographic Negatives , 1995 .

[22]  Xiaoye Liu,et al.  Airborne LiDAR for DEM generation: some critical issues , 2008 .

[23]  C. S. B. Grimmond,et al.  Rapid methods to estimate sky‐view factors applied to urban areas , 2001 .

[24]  Lee Chapman,et al.  Rapid determination of canyon geometry parameters for use in surface radiation budgets , 2001 .

[25]  Juan C. Suárez,et al.  Use of airborne LiDAR and aerial photography in the estimation of individual tree heights in forestry , 2005, Comput. Geosci..

[26]  Douw G. Steyn,et al.  The calculation of view factors from fisheye‐lens photographs: Research note , 1980 .