Enhancing Near-Real-Time Amazon Forest Monitoring Using GeoAI: A Case Study on Selective Logging — companion reproducibility data
Authors/Creators
- 1. Earth Observation and Geoinformatics Division, Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, SP, Brazil
- 2. Independent Researcher, Indaiatuba, SP, Brazil
Contributors
Contact person:
Data curator (3):
Project member:
Supervisor (2):
- 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 (itsend_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.
Files
fm-checkpoint.zip
Additional details
Related works
- Is derived from
- Dataset: 10.5067/HLS/HLSL30.002 (DOI)
- Dataset: 10.5067/HLS/HLSS30.002 (DOI)
- Dataset: https://terrabrasilis.dpi.inpe.br/downloads/ (URL)
- Is supplement to
- Software: https://github.com/EvandroCT/mdpi-nrt-forest-monitoring (URL)