Listar Departamento de Ingeniería Gráfica y Geomática por autor "30324e6d-ba60-47b2-859f-0bb6edfa8768"

Mostrando ítems 1-6 de 6

    • Drift Correction of Lightweight Microbolometer Thermal Sensors On-Board Unmanned Aerial Vehicles 

      Mesas Carrascosa, Francisco Javier; Pérez Porras, Fernando; Meroño de Larriva, José Emilio; Mena Frau, Carlos; Agüera-Vega, Francisco; Carvajal-Ramírez, Fernando; Martínez-Carricondo, Patricio; García-Ferrer Porras, Alfonso (MDPI, 2018)
      The development of lightweight sensors compatible with mini unmanned aerial vehicles (UAVs) has expanded the agronomical applications of remote sensing. Of particular interest in this paper are thermal sensors based on ...

    • Effect of Lockdown Measures on Atmospheric Nitrogen Dioxide during SARS-CoV-2 in Spain 

      Mesas Carrascosa, Francisco Javier; Pérez Porras, Fernando; Triviño Tarradas, Paula María; García-Ferrer Porras, Alfonso; Meroño de Larriva, José Emilio (MDPI, 2020)
      The disease caused by SARS-CoV-2 has affected many countries and regions. In order to contain the spread of infection, many countries have adopted lockdown measures. As a result, SARS-CoV-2 has negatively influenced economies ...

    • Grassland Phenology Response to Climate Conditions in Biobio, Chile from 2001 to 2020 

      Doussoulin Guzmán, Marcelo; Pérez Porras, Fernando; Triviño Tarradas, Paula María; Ríos-Mesa, Andrés-Felipe; García-Ferrer Porras, Alfonso; Mesas Carrascosa, Francisco Javier (MDPI, 2022)
      Plant phenology is affected by climate conditions and therefore provides a sensitive indicator to changes in climate. Studying the evolution and change in plant phenology aids in a better understanding of and predicting ...

    • Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires 

      Pérez Porras, Fernando; Triviño Tarradas, Paula María; Cima-Rodríguez, Carmen; Meroño de Larriva, José Emilio; García-Ferrer Porras, Alfonso; Mesas Carrascosa, Francisco Javier (MDPI, 2021)
      Wildfires are becoming more frequent in different parts of the globe, and the ability to predict when and where they will occur is a complex process. Identifying wildfire events with high probability of becoming a large ...

    • Modelización de la deriva de sensores termográficos embarcados en UAV para un manejo eficiente del riego 

      Pérez Porras, Fernando (Universidad de Córdoba, UCOPress, 2021)
      El uso civil de plataformas aéreas no tripuladas ha experimentado un notable aumento en la última década, siendo la agricultura una de las áreas que mayor interés ha despertado. La flexibilidad que ofrecen estas plataformas, ...

    • Project-Based Learning Applied to Unmanned Aerial Systems and Remote Sensing 

      Mesas Carrascosa, Francisco Javier; Pérez Porras, Fernando; Triviño Tarradas, Paula María; Meroño de Larriva, José Emilio; García-Ferrer Porras, Alfonso (MDPI, 2019)
      The development of unmanned aerial vehicle (UAV) technology and the miniaturization of sensors have changed the way remote sensing (RS) is used, popularizing this geoscientific discipline in other fields, such as precision ...