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Local ETM+ to OLI EVI Harmonisation in Tropical Forest Environments
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Authors
Giancarlo Macchi Jánica 
,
Andrés Palacio Chaverra,
Elisabetta Mancinelli
Abstract
This report evaluates ETM+ to OLI EVI harmonisation in tropical forest environments us-ing 8,988,291 paired observations. Results show strong linear correspondence but substan-tial acquisition-to-acquisition variability. The empirical relationship differs markedly from the CONUS-derived framework of Roy et al. (2016), indicating that its direct application is not supported under the investigated tropical conditions. contesto, la cartografia tradizio-nale, caratterizzata da un’integrazione solida con altri strumenti digitali, può offrire un gran-dissimo contributo.
DOI
https://doi.org/10.31223/X5J804
Subjects
Geographic Information Sciences, Geography, Human Geography, Remote Sensing, Spatial Science
Keywords
EVI, cross-sensor harmonisation, sensor continuity, vegetation indices, tropical forests, Landsat Collection 2
Dates
Published: 2026-10-03 06:03
Last Updated: 2026-10-03 06:03
License
CC BY Attribution 4.0 International
Additional Metadata
Data Availability:
The R code used for the ETM+–OLI EVI harmonisation analysis is publicly availa-ble in the GitHub repository associated with this study. The script 01_harmonization.R implements the principal data-acquisition, preprocessing, EVI calculation, pixel-level quality-control, cross-sensor pairing, and statistical analysis procedures described in this report. The code is available at: https://github.com/gcmacchi/MontesMaria_SocioEcological_GWR/blob/main/01_harmonization.R The script uses publicly available Landsat Collection 2 Level-2 data accessed through the Microsoft Planetary Computer STAC catalogue and requires the R packages rstac, terra, and sf. The repository also contains the configuration and supporting files required by the harmonisation workflow.
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