Downscaling Landsat-8 land surface temperature maps in diverse urban landscapes using multivariate adaptive regression splines and very high resolution auxiliary data

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dc.contributor.authorZawadzka, Joanna
dc.contributor.authorCorstanje, Ronald
dc.contributor.authorHarris, Jim A.
dc.contributor.authorTruckell, Ian
dc.date.accessioned2019-04-16T08:32:58Z
dc.date.available2019-04-16T08:32:58Z
dc.date.issued2019-03-25
dc.description.abstractWe propose a method for spatial downscaling of Landsat 8-derived LST maps from 100(30 m) resolution down to 2–4 m with the use of the Multiple Adaptive Regression Splines (MARS) models coupled with very high resolution auxiliary data derived from hyperspectral aerial imagery and large-scale topographic maps. We applied the method to four Landsat 8 scenes, two collected in summer and two in winter, for three British towns collectively representing a variety of urban form. We used several spectral indices as well as fractional coverage of water and paved surfaces as LST predictors, and applied a novel method for the correction of temporal mismatch between spectral indices derived from aerial and satellite imagery captured at different dates, allowing for the application of the downscaling method for multiple dates without the need for repeating the aerial survey. Our results suggest that the method performed well for the summer dates, achieving RMSE of 1.40–1.83 K prior to and 0.76–1.21 K after correction for residuals. We conclude that the MARS models, by addressing the non-linear relationship of LST at coarse and fine spatial resolutions, can be successfully applied to produce high resolution LST maps suitable for studies of urban thermal environment at local scales.en_UK
dc.identifier.citationZawadzka J, Corstanje R, Harris J, Truckell I. (2020) Downscaling Landsat-8 land surface temperature maps in diverse urban landscapes using multivariate adaptive regression splines and very high resolution auxiliary data. International Journal of Digital Earth, Volume 13, Issue 8, 2020, pp. 899-914en_UK
dc.identifier.issn1753-8947
dc.identifier.urihttps://doi.org/10.1080/17538947.2019.1593527
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14086
dc.language.isoenen_UK
dc.publisherTaylor and Francisen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectLand surface temperatureen_UK
dc.subjectdownscalingen_UK
dc.subjecturbanen_UK
dc.subjectmultivariate adaptive regression splinesen_UK
dc.subjectremote sensingen_UK
dc.titleDownscaling Landsat-8 land surface temperature maps in diverse urban landscapes using multivariate adaptive regression splines and very high resolution auxiliary dataen_UK
dc.typeArticleen_UK

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