Programa del congreso

Los incendios forestales representan riesgos graves para la seguridad humana, la estabilidad económica y los ecosistemas, con un impacto intensificado por el cambio climático. Este trabajo investiga la estructura causal entre los sistemas terrestres y los incendios forestales mediante modelos basados en datos. En este trabajo, se considera el algoritmo de Peter–Clark con independencia condicional momentánea (PCMCI) para estudiar los vínculos causales en series temporales de datos. A diferencia de estudios anteriores enfocados en la presencia de incendios [1], este trabajo permite simular y predecir cómo los cambios en las variables de entrada afectan el tamaño del área quemada, proporcionando información valiosa sobre la magnitud de las interacciones directas e indirectas.

Plastic pollution poses a global environmental challenge with profound ecological and societal impacts. Hyperspectral imaging (HSI) combined with polarimetry offers a promising approach for detecting, classifying, and quantifying plastic waste in aquatic environments. This study presents the design of a system to capture polarimetric spectral hypercubes and employs spectral unmixing techniques to identify plastic components in complex scenes. In addition to integrating polarization into the data acquisition pipeline, we investigate its effects on spectral analysis and material discrimination, providing insights into its utility for enhancing plastic detectability.

This paper proposes a Low Earth Orbit (LEO) Positioning, Navigation, and Timing (PNT) system leveraging LoRaWAN signals. We introduce a framework for processing LoRa transmissions in LEO scenarios, featuring a robust method for Doppler shift and time-delay estimation. To address collision-induced performance degradation caused by the ALOHA-based medium access protocol, we present an interference mitigation strategy. The system is evaluated through extensive Monte Carlo simulations, demonstrating reliable performance in single-signal conditions. However, results indicate significant performance degradation in collision scenarios. This work provides foundational insights into LoRaWAN-based LEO PNT systems and their challenges in practical deployments.

As an electromagnetic wave propagates through the ionosphere, it experiences scintillation, group delay, and dispersion, leading to signal distortion and potential performance degradation in radar applications. These effects introduce random fluctuations in intensity and phase, impacting the accuracy and reliability of spaceborne radar sounders used for subsurface probing, particularly in the VHF band. This study employs a physics-based ionospheric model to analyze the impact of scintillation, group delay, and dispersion on VHF radar sounder signals. Using the phase screen model derived from Rino’s theory, we simulate wavefront perturbations under varying ionospheric conditions. The results provide insights into the influence of ionospheric turbulence on VHF radar observations, aiding in the development of strategies to mitigate these effects and enhance radar data interpretation.

In this paper, we present the design, implementation, and validation of a complete software-defined radio (SDR)-based receiver for Orbcomm Low Earth Orbit (LEO) satellite signals, aimed at extracting observables for satellite-based positioning. The Orbcomm constellation, operating in the VHF band, provides unique opportunities for robust positioning in challenging environments due to its low attenuation and high signal power. We detail the system architecture, including hardware setup, signal acquisition, and software processing. Experimental results confirm the receiver’s capability to track and process live satellite signals, with close alignment between extracted observables and theoretical models derived from orbital ephemerides. We further evaluate the constellation’s geometric dilution of precision (GDOP) under single-satellite scenarios, highlighting limitations in positioning accuracy due to the inherent geometry. This work lays the foundation for future developments in real-time LEO satellite positioning and hybrid navigation systems.