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March 15, 2026ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesOpen Access

Per-pixel population estimates in Western Amazon using limited remote sensing and spatial data

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Authors

LFLuiz Felipe de Almeida FurtadoLCLuiz Carlos Teixeira CoelhoMPMaria de Fátima de Pina

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Overview

Machine learning algorithms improve demographic data estimates in the Western Amazon, indicating potential for data-scarce contexts.

Key Points

  • This research aims to improve demographic estimates using machine learning in the Western Amazon.
  • Implemented a Random Forest model for demographic data estimation
  • Used geospatial data and remote sensing techniques
  • Evaluated model performance against 2022 Brazilian census and WorldPop data
  • Methodology yielded estimates comparable to official census figures
  • Demonstrated reduced computational effort compared to traditional methods
  • Showed viability in data-scarce contexts

Cite This Study

Furtado et al. (2026) studied this question.

synapsesocial.com/papers/69b5ff3b83145bc643d1b578https://doi.org/10.5194/isprs-annals-x-3-w4-2025-157-2026
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