People

Miguel Pinto

PhD Student

Email: mnpinto@fc.ul.pt

Instituto Dom Luiz
Faculdade de Ciências, Universidade de Lisboa
Campo Grande, Edf. C8, Piso 3, Sala 8.3.15
1749-016 Lisboa
Portugal

Areas of Scientific activity

Meteorology, Climatology, Remote Sensing, Wildfires, Machine Learning

Publications

2021


Pinto M.M., Trigo R.M., Trigo I.F., DaCamara C.C. (2021) A Practical Method for High-Resolution Burned Area Monitoring Using Sentinel-2 and VIIRS. Remote Sensing 2021, 13, 1608. DOI: 10.3390/rs13091608

2020


Pinto M.M., Libonati R., Trigo R.M., Trigo I.F., DaCamara C.C. (2020) A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images. ISPRS Journal of Photogrammetry and Remote Sensing, 160, 260-274, doi: http://doi.org/10.1016/j.isprsjprs.2019.12.014

2018


Pinto MM, Da Camara CC, Trigo IF, Trigo RM, Turkman KF (2018) Fire danger rating over Mediterranean Europe based on fire radiative power derived from Meteosat. Nat. Hazards Earth Syst. Sci., Volume 18 Issue 2, https://doi.org/10.5194/nhess-18-515-2018