Preprint / Version 1

A protocol for leveraging AI in GEE for land use and land cover transition mapping: the Case of São Paulo (1985-2024)

##article.authors##

  • Rodrigo da Cunha Pacheco Federal Institute of São Paulo image/svg+xml https://orcid.org/0000-0001-5497-9793
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Investigation
    • Methodology
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
    • Visualization
    • Validation
    • Project Administration
    • Resources
    • Software

DOI:

https://doi.org/10.1590/SciELOPreprints.13755

Keywords:

Geoprocessing, Artificial Inteligence, Google Earth Engine, Urban Expansion

Abstract

This paper explores the application of generative artificial intelligence as a coding assistant to produce land use and land cover transition maps within the Google Earth Engine (GEE) platform. Focusing on urban expansion in the State of São Paulo from 1985 to 2024, we propose a protocol that enables researchers—particularly those with limited programming expertise—to harness the power of AI to utilize GEE's extensive geoprocessing capabilities. The protocol concurrently implements quality assurance layers to guarantee the accuracy of the final map product. The successful results of the mapping demonstrate the viability and effectiveness of this approach.

Portuguese version: https://doi.org/10.1590/SciELOPreprints.13795

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Author Biography

Rodrigo da Cunha Pacheco, Federal Institute of São Paulo

Professor no Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP).
Doutor em Geografia pela Universidade de São Paulo (USP).
Bacharel e Licenciado em Geografia pela Universidade de São Paulo.

Segunda licenciatura em Letras (Português, Inglês) e Filosofia.

Posted

10/23/2025

How to Cite

A protocol for leveraging AI in GEE for land use and land cover transition mapping: the Case of São Paulo (1985-2024). (2025). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.13755

Section

Exact and Earth Sciences

Copyright (c) 2025 Rodrigo da Cunha Pacheco

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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