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July 8, 2026ISPRS International Journal of Geo-InformationOpen Access

Integrated GIS Multi-Criteria Analysis with AHP and Remote Sensing for Identifying and Monitoring High-Risk Areas of Illegal Border Crossing

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Authors

JOJasmina ObhođašDRDorijan RadočajAVAndrija Vinković

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Overview

Randomized trial analyzes high-risk zones for illegal border crossings using GIS, MCA, and AHP, suggesting improvements for border security.

Key Points

  • The study aims to enhance border security by developing a predictive risk analysis model for identifying areas at high risk for illegal border crossings.
  • Integrated Geographic Information Systems (GIS), Multi-Criteria Analysis (MCA), and Analytic Hierarchy Process (AHP) in model development.
  • Utilized environmental and infrastructure variables from ESA WorldCover and OpenStreetMap to create a categorized risk map.
  • Verified model quantitatively against 7481 geocoded border crossing incidents using detection-versus-background design.
  • Achieved high predictive skill with a Continuous Boyce Index up to 0.97 controlling for patrol effort bias.
  • Identified areas of lowest, moderate, and highest risk for illegal border crossings through categorized risk mapping.
  • Generated labeled datasets for AI training using high-resolution satellite imagery, detecting features linked to illegal migration activities.

Cite This Study

Obhođaš et al. (2026) studied this question.

synapsesocial.com/papers/6a4de8ebd2ea289ef62835bbhttps://doi.org/10.3390/ijgi15070304
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