Supplementary material associated with this study.

The materials include: (i) scripts developed in Google Earth Engine for image processing and spectral index calculation; (ii) R scripts used for statistical analyses and correlation assessment; (iii) geospatial processing workflows implemented in QGIS; and (iv) tabular datasets containing time series of environmental and anthropogenic variables derived from Landsat imagery and land cover and land use products. Due to technical and storage limitations, the original satellite imagery is not included in the repository; however, these data can be accessed directly through the respective platforms (e.g., Google Earth Engine). Additionally, access to certain processed datasets may be provided upon reasonable request, in accordance with ethical considerations and to ensure data integrity and prevent misuse or unintended disclosure. Access to the repository is currently restricted and will be released in a public data repository later.

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Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-29
DOI
https://doi.org/10.5281/zenodo.19302787
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Supplementary material associated with this study.

Irandir Silva, Vinícius de Amorim Silva, Hercules da Silva Carvalho, Paulo Vila Nova Souza et al.
Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Supplementary material associated with this study.

Irandir Silva, Vinícius de Amorim Silva, Hercules da Silva Carvalho, Paulo Vila Nova Souza, JÚLIO GONÇALVES DA SILVA JÚNIOR
article en

Abstract

The materials include: (i) scripts developed in Google Earth Engine for image processing and spectral index calculation; (ii) R scripts used for statistical analyses and correlation assessment; (iii) geospatial processing workflows implemented in QGIS; and (iv) tabular datasets containing time series of environmental and anthropogenic variables derived from Landsat imagery and land cover and land use products. Due to technical and storage limitations, the original satellite imagery is not included in the repository; however, these data can be accessed directly through the respective platforms (e.g., Google Earth Engine). Additionally, access to certain processed datasets may be provided upon reasonable request, in accordance with ethical considerations and to ensure data integrity and prevent misuse or unintended disclosure. Access to the repository is currently restricted and will be released in a public data repository later.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal do Sul da Bahia (BR), Elabora Consultoria (Brazil) (BR)
Life in Land
Openalex Percentile: Top 3%
Remote Sensing in Agriculture
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