CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Development of a Remote Sensing data processing (GRASP), display and report Graphic User Interface

Estudiants que han llegit aquest projecte:

Director/a: RODRÍGUEZ GÓMEZ, ALEJANDRO

Departament: TSC

Títol: Development of a Remote Sensing data processing (GRASP), display and report Graphic User Interface

Data inici oferta: 13-11-2023     Data finalització oferta: 13-06-2024


Estudis d'assignació del projecte:
    DG ENG AERO/SIS TEL
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Remote sensing, Lidar, Satellite, Climate
 
Descripció del contingut i pla d'activitats:
*Selección del lenguaje de programación: Matlab o Python
*Familiarización con los formatos de datos del software GRASP
*Desarrollo de funciones para gestión de datos de entrada y salida
*Desarrollo de funciones para interacción con GRASP
*Desarrollo de funciones para representación gráfica
*Desarrollo de funciones para generación de informes
 
Overview (resum en anglès):
In recent years, the need to analyse and monitor atmospheric aerosols has become evident, as they have a significant impact not only on public health and climatology but also in fields such as air transport. Understanding their properties and monitoring them are essential for understanding atmospheric processes and identifying potentially dangerous situations for air navigation.

The main objective of this work is to create software that automates the extraction of information related to aerosols from measurements obtained using robotic photometers and aerosol Lidar systems.

To understand the usefulness of such software, it is essential to comprehend the impact aerosols have on the aviation sector, as well as to know the instruments and tools available to detect and measure them. Volcanic ash, Saharan dust, and biomass burning aerosols are considered, as well as their repercussions on aviation. Reference is also made to organizations dedicated to monitoring atmospheric aerosols and preventing their possible adverse effects.

Regarding the instrumentation used for the detection of atmospheric aerosols, two instruments are used in this work: the aerosol Lidar and the robotic photometer. The GRASP algorithm combines data from both instruments and processes the reflectance properties of aerosols and the Earth's surface. The DataCrossing software (developed in this work) preprocesses the information from the two instruments, recognizing what type of information is available in a particular measurement and informing the user of the type of inversion that can be obtained from GRASP; it also extracts the result of this inversion, obtains derived parameters, and generates a set of graphs that the user can view and save.

This work not only contributes to the collection and analysis of aerosol data but also aims to be a practical tool for professionals in the aviation and meteorology sectors, who need to assess the risks associated with the presence of aerosols in the atmosphere. The integration of data obtained through advanced technologies, such as Lidar, can significantly improve the accuracy of predictive models and mitigation strategies concerning the adverse effects of aerosols on air transport

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