Published July 31, 2026 | Version 3.0.0

Enhancing Near-Real-Time Amazon Forest Monitoring Using GeoAI: A Case Study on Selective Logging — companion reproducibility data

  • 1. Earth Observation and Geoinformatics Division, Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, SP, Brazil
  • 2. Independent Researcher, Indaiatuba, SP, Brazil
  • 1. Earth Observation and Geoinformatics Division, Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, SP, Brazil
  • 2. Independent Researcher, Indaiatuba, SP, Brazil

Description

This record contains the companion data for the paper Enhancing Near-Real-Time Amazon Forest Monitoring Using GeoAI: A Case Study on Selective Logging. It is organised into five categories:

  • the pretraining corpus for the spatiotemporal masked-autoencoder foundation model;
  • the labelled dataset the downstream model is trained and cross-validated on;
  • small reference-data files: the interpreter annotations the soft labels are derived from (annotations.json), the alert view dates that close each monitoring period (its end_period), and the downstream model's cached out-of-fold scores;
  • the foundation-model checkpoint; and
  • the downstream model's checkpoints (20 leave-one-out cross-validation folds).

Step-by-step reproduction instructions, including how to download and verify this record programmatically, are provided in the paper's GitHub repository, not in this description: https://github.com/EvandroCT/mdpi-nrt-forest-monitoring.

CRediT author statement (verbatim, as published in the paper): Conceptualization, E.T.; methodology, E.T.; software, E.T.; validation, E.T.; formal analysis, E.T.; investigation, E.T.; data curation, E.T., S.N. and D.B.; writing—original draft preparation, E.T.; writing—review and editing, E.T., G.M., S.N., D.B., G.Q. and L.A.; visualization, E.T.; supervision, G.Q. and L.A. All authors have read and agreed to the published version of the manuscript. (E.T. = Evandro Taquary; G.M. = Guilherme Mataveli; S.N. = Sérgio Nogueira; D.B. = Daniel Braga; G.Q. = Gilberto Queiroz; L.A. = Luiz Aragão.)

Attribution notices. Contains modified Copernicus Sentinel data [2024–2026] (applies to the HLS S30 content in this record, which is derived from Sentinel-2). DETER alert data (INPE — Instituto Nacional de Pesquisas Espaciais, distributed via the TerraBrasilis platform) are licensed under CC BY-SA 4.0 and underlie the disturbance-site selection and labels used throughout this record; consistent with the ShareAlike clause, this record is itself distributed under CC BY-SA 4.0.

Zarr stores in this record are named by their originating DETER alert identifier (FID), which is unrelated to the manuscript's MU1–MU20 numbering of the 20 cross-validated monitoring units used in the paper's own text and tables.

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