Using an epitomic model for downscaling of GOES-16’s land surface temperature product

Roberto Garcia; Anthony Ortiz; Miguel Velez-Reyes

doi:10.1117/12.2622990

30 May 2022 Using an epitomic model for downscaling of GOES-16’s land surface temperature product

Roberto Garcia, Anthony Ortiz, Miguel Velez-Reyes

Proceedings Volume PC12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII; PC1209406 (2022) https://doi.org/10.1117/12.2622990
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Thermal satellite images are used to estimate Land Surface Temperature (LST), which aid in the monitoring of Urban Heat Islands (UHI). UHI studies are limited by the tradeoff in spatial and temporal resolution of satellite platforms. Epitomic representation have been proposed by Malkin et al. to create a high-resolution land label map by fusing a low-resolution land class map and high-resolution imagery. In this paper, we present an extension from classification to downscaling a continuous variable like LST. The approach is used to fuse 2km GOES-16’s LST with 30m NDVI and NDUSI from Landsat 8 to created 30m LST product.

Conference Presentation

Citation Download Citation

Roberto Garcia, Anthony Ortiz, and Miguel Velez-Reyes "Using an epitomic model for downscaling of GOES-16’s land surface temperature product", Proc. SPIE PC12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII, PC1209406 (30 May 2022); https://doi.org/10.1117/12.2622990

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