Presentation + Paper
17 October 2023 The feasibility of combining the two-source energy balance (TSEB) model with object-based approaches to estimate surface heat fluxes
Huiyuan Liu, Xiaozhou Xin
Author Affiliations +
Abstract
Traditional pixel-based algorithms, considering only spectral information and ignore spatial information, have limitations to provide better accuracy of surface heat fluxes from high-resolution images. Based on the high-resolution satellite images, this paper systematically analyzes the feasibility of combining the object-based approach with traditional physical model to estimate surface heat fluxes.Sentinel-3 surface temperature and Sentinel-2 multi-spectral data were input to the energy balance Two-Source Energy Balance (TSEB) model to estimate the surface heat fluxes. Pixel-based TSEB model was firstly employed at 10m. An multi-layer experiments framework was constructed to explore the applicability of the object-based method. The object-based approach is introduced into TSEB model and the multi-scale segmentation algorithm of eCognition is used to segment the images and extract the surface objects. Two object -based strategies, estimating heat fluxes before or after aggregating objects properties, were used to analyze the influence of the different strategies on the results. Object-based method and different inversion strategies are compared with pixel -based results. The results show that, comparing with the pixel-based method, the object-based method is beneficial to map surface heat fluxes and can improve the estimation accuracy of the TSEB model, which is mainly influences by the vegetation-related parameters.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Huiyuan Liu and Xiaozhou Xin "The feasibility of combining the two-source energy balance (TSEB) model with object-based approaches to estimate surface heat fluxes", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 127270Y (17 October 2023); https://doi.org/10.1117/12.2683967
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KEYWORDS
Data modeling

Image segmentation

Remote sensing

Atmospheric modeling

Heat flux

Meteorology

Vegetation

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