Fitxa persona

Dr. Julia Amorós López obtained her degree in Telecommunications Engineering, as well as her Master's and Doctorate degrees in Electronic Engineering from the University of Valencia in 2000, 2002, and 2012, respectively. Since 2003, she has been part of the Department of Electronic Engineering at the University of Valencia, where she is currently a tenured professor. She teaches courses on industrial automation, time series analysis, image processing, machine learning, deep learning, and classification and change detection in remote sensing data. She is also a researcher at the Image Processing Laboratory at the University of Valencia, which is made up of a multidisciplinary team of physicists, mathematicians, and engineers. Her work is mainly related to pattern recognition and machine learning applied to multispectral remote sensing images. Specifically, her doctoral thesis focused on image fusion, developing methods to improve spatial resolution by applying multitemporal image fusion techniques and change detection with improved spatio-temporal resolutions.

In addition, she has participated in the development of ESA's Cal/Val database and in various field campaigns (SPARC, SEN2FLEX, CEFLES2), helping to organize and manage different types of vegetation parameter measurements from in situ, aerial, and satellite data. Her research in machine learning and pattern recognition has also been carried out within the framework of several national and international projects. She has been involved in several national transfer projects (Valencian Cartographic Agency - ICV; National Geographic Institute - IGN), and in numerous international projects funded by the European Space Agency (ESA), the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), and the European Union (Sentinels Synergy Framework SenSyF project of the FP7-Space program).

She has mainly developed algorithms in classification, change detection, and image fusion applications using different optical sensors for Earth observation, including aerial and satellite data (Proba/CHRIS, Landsat, SPOT, MERIS, MODIS, Sentinel-2, among others). She has also participated in the development of algorithms for cloud removal in ESA projects and in multitemporal analysis for crop monitoring. Currently, his research focuses on obtaining biophysical parameters and vegetation properties using satellite data, multitemporal image fusion, and change detection. She also works with the Department of Geography and History at the University of Valencia on estimating ocean water parameters using hyperspectral remote sensing images, as well as classifying different optical water types (OWT) using Sentinel-3 images, UAVs, and in-situ measurements.

Dr. J. Amorós López has a Hirsch h-index of h=21 according to Google Scholar.