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- Publisher Website: 10.3390/rs8070568
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Article: Estimation of continuous urban sky view factor from landsat data using shadow detection
Title | Estimation of continuous urban sky view factor from landsat data using shadow detection |
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Authors | |
Keywords | Shadow detection Vancouver Urban remote sensing Urban heat island Spectral mixture analysis Sky View Factor Shadow proportion Landsat TM |
Issue Date | 2016 |
Citation | Remote Sensing, 2016, v. 8, n. 7, article no. 568 How to Cite? |
Abstract | © 2016 by the authors. Sky View Factor (SVF, a dimensionless value between 0 and 1 representing obstructed and unobstructed sky, respectively) has an important influence on urban energy balance, and is a key contributor to the Urban Heat Island (UHI) effect experienced by heavily built up regions. Continuous urban SVF maps used in modeling the spatial distribution of UHI can be derived analytically using Lidar data; however, Lidar data are costly to obtain and often lack complete coverage of large cities or metropolitan areas. This study develops and validates a method for estimating continuous urban SVF from globally available Landsat TM data, based on the presence of shadows cast by SVF-reducing urban features. SVF and per-pixel shadow proportion (SP) were first calculated for synthetic grid cities to confirm a logarithmic relationship between the two properties; then Lidar data from four US cities were used to determine an empirical regression relating SP to SVF. Spectral Mixture Analysis was then used to estimate per-pixel SP in a Landsat 5 TM image covering the Greater Vancouver Area, Canada, and the empirical regression was used to calculate SVF from per-pixel SP. The accuracy of the resulting SVF map was validated using independent Lidar-derived SVF data (R2= 0.78; RMSE = 0.056). |
Persistent Identifier | http://hdl.handle.net/10722/265704 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Hodul, Matus | - |
dc.contributor.author | Knudby, Anders | - |
dc.contributor.author | Ho, Hung Chak | - |
dc.date.accessioned | 2018-12-03T01:21:26Z | - |
dc.date.available | 2018-12-03T01:21:26Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Remote Sensing, 2016, v. 8, n. 7, article no. 568 | - |
dc.identifier.uri | http://hdl.handle.net/10722/265704 | - |
dc.description.abstract | © 2016 by the authors. Sky View Factor (SVF, a dimensionless value between 0 and 1 representing obstructed and unobstructed sky, respectively) has an important influence on urban energy balance, and is a key contributor to the Urban Heat Island (UHI) effect experienced by heavily built up regions. Continuous urban SVF maps used in modeling the spatial distribution of UHI can be derived analytically using Lidar data; however, Lidar data are costly to obtain and often lack complete coverage of large cities or metropolitan areas. This study develops and validates a method for estimating continuous urban SVF from globally available Landsat TM data, based on the presence of shadows cast by SVF-reducing urban features. SVF and per-pixel shadow proportion (SP) were first calculated for synthetic grid cities to confirm a logarithmic relationship between the two properties; then Lidar data from four US cities were used to determine an empirical regression relating SP to SVF. Spectral Mixture Analysis was then used to estimate per-pixel SP in a Landsat 5 TM image covering the Greater Vancouver Area, Canada, and the empirical regression was used to calculate SVF from per-pixel SP. The accuracy of the resulting SVF map was validated using independent Lidar-derived SVF data (R2= 0.78; RMSE = 0.056). | - |
dc.language | eng | - |
dc.relation.ispartof | Remote Sensing | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Shadow detection | - |
dc.subject | Vancouver | - |
dc.subject | Urban remote sensing | - |
dc.subject | Urban heat island | - |
dc.subject | Spectral mixture analysis | - |
dc.subject | Sky View Factor | - |
dc.subject | Shadow proportion | - |
dc.subject | Landsat TM | - |
dc.title | Estimation of continuous urban sky view factor from landsat data using shadow detection | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/rs8070568 | - |
dc.identifier.scopus | eid_2-s2.0-85019847861 | - |
dc.identifier.volume | 8 | - |
dc.identifier.issue | 7 | - |
dc.identifier.spage | article no. 568 | - |
dc.identifier.epage | article no. 568 | - |
dc.identifier.eissn | 2072-4292 | - |
dc.identifier.isi | WOS:000382224800038 | - |
dc.identifier.issnl | 2072-4292 | - |