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October 15, 2025Open Access

TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis

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Authors

FFFangxiang FengCAClement AtzbergerSJSadiq Jaffer

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Overview

This method enhances climate modeling and carbon accounting using satellite remote sensing data, indicating improved analysis accuracy.

Key Points

  • The method improves analysis of satellite data for climate modeling and sustainable land use.
  • It effectively addresses challenges posed by sensor noise and atmospheric conditions in remote sensing.
  • The approach uses temporal embeddings to handle unevenly spaced satellite observations systematically.
  • Improved representation of surface spectra can enable better conservation strategies and land management.

Cite This Study

Feng et al. (2025) studied this question.

synapsesocial.com/papers/68efd921056559ef42877503https://doi.org/10.59350/w3ztb-v2h09
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