ISLAND: Informing Brightness and Surface Temperature Through a Land Cover-based Interpolator

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dc.contributor.advisorVeeraraghavan, Ashoken_US
dc.contributor.advisorBalakrishnan, Guhaen_US
dc.creatorLiu, Yuhaoen_US
dc.date.accessioned2024-01-24T21:48:40Zen_US
dc.date.available2024-01-24T21:48:40Zen_US
dc.date.created2023-12en_US
dc.date.issued2023-12-01en_US
dc.date.submittedDecember 2023en_US
dc.date.updated2024-01-24T21:48:40Zen_US
dc.description.abstractCloud occlusion is a common problem in the field of remote sensing, particularly for thermal infrared imaging. Clouds degrade thermal signals emitted from the Earth’s surface and interfere with the retrieved Land Surface Temperature (LST). Such cloud contamination severely reduces the set of serviceable thermal images for downstream applications. We introduce a novel method to remove cloud occlusions from Landsat 8 LST images. We call our method ISLAND, an acronym for Informing Brightness and Surface Temperature Through a Land Cover-based Interpolator. ISLAND predicts occluded LST through a set of spatio-temporal filters that perform distance-weighted spatio-temporal interpolation. A critical feature of ISLAND is that the filters are land cover-class aware, making it particularly advantageous in complex urban settings with heterogeneous land cover types and distributions. In this thesis, (1) We show ISLAND achieves robust reconstruction performance with an accuracy of around 1 Kelvin. (2) We provide a public dataset of 20 U.S. cities with pre-computed ISLAND thermal infrared and LST outputs. (3) Using several case studies, we demonstrate that ISLAND opens the door to a multitude of high-impact urban and environmental applications across the continental United States.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLiu, Yuhao. "ISLAND: Informing Brightness and Surface Temperature Through a Land Cover-based Interpolator." (2023). Master's thesis, Rice University. https://hdl.handle.net/1911/115397en_US
dc.identifier.urihttps://hdl.handle.net/1911/115397en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectcloud removalen_US
dc.subjectland surface temperatureen_US
dc.subjectthermal imagingen_US
dc.subjectLandsaten_US
dc.subjectland coveren_US
dc.titleISLAND: Informing Brightness and Surface Temperature Through a Land Cover-based Interpolatoren_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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