AI and SAR Integration for Amazon Security: A Brazilian Air Force Study

A 21.5 KB document authored by Gabriela Alves de Borba Costa and uploaded on March 18, 2026. This qualitative study examines the operational integration of artificial intelligence with Synthetic Aperture Radar imagery for monitoring the Amazon region. The research is based on a systematic literature review covering the period from 2022 to 2025.

Use Cases

• Analyzing the impact of AI automation on state capacity for territorial governance based on the study's conceptual framework.
• Studying operational gains like reduced analysis time and increased detection accuracy in SAR imagery processing.
• Examining ethical governance and algorithmic transparency requirements for AI in military surveillance contexts.
• Modeling the reconfiguration of data-mediated territorial governance for other countries facing similar challenges.

Strengths

• Document is under a permissive CC-BY-4.0 license, allowing for broad reuse.
• The study is recent, with a literature review covering 2022 to 2025.
• The description provides a clear methodological and conceptual framework for the analysis.

Limitations

• The dataset is a 21.5 KB document, indicating a very limited scope of raw data.
• Row count and column-level documentation are absent; the content is a qualitative study.
• The data may reflect the specific institutional and geographic focus of the Brazilian Air Force and the Amazon.

Provenance

Source

Gabriela Alves de Borba Costa via figshare

Collection Method

Qualitative and exploratory approach based on document analysis and a systematic literature review.

Time Range

Literature review covers 2022–2025.

Freshness

Last updated 2026-03-18 07:36:07

Geography

Focus on the Amazon region and Brazil.