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Published January 12, 2023 | Version v 1.1
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Understanding the robustness of spectral-temporal metrics across the global Landsat archive – a quantitative evaluation: extended material

  • 1. Trier University
  • 2. UCLouvain
  • 3. Humboldt-Universität zu Berlin
  • 4. University of Wisconsin

Description

This dataset contains extended material for the paper:

Frantz, D., Rufin, P., Janz, A., Ernst, S., Pflugmacher, D., Schug, F., Hostert, P.: Understanding the robustness of spectral-temporal metrics across the global Landsat archive – a quantitative evaluation. In submission.

Files

stm-quality.zip

Files (11.9 GB)

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