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Published September 15, 2021 | Version v1
Conference paper Open

Algorithm for statistical downscaling of land surface temperature using ElasticNet

  • 1. Earth Observing System, 1906 El Camino Real, Suite 201, Menlo Park, CA 94027, USA

Description

Nowadays there are many algorithms for statistical downscaling of land surface temperature (LST) that can improve the spatial resolution of this data (Zhan et al., 2013). The problem of existing algorithms is the necessity to select features and adjust the algorithm parameters depending on land surface classes present in the image. The objective was to develop an algorithm for downscaling land surface temperature with parameters minimally dependent on the land surface classes.

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Additional details

Funding

Goldeneye – Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations 869398
European Commission