ORGANIZERS and PRESENTERS

A NOTE FROM THE ORGANIZERS

The educational needs and interest of society in technological fields are rapidly changing. Basic higher education is commonly not sufficient to meet educational needs in the field of remote sensing. The SPatial LITeracy Remote Sensing (SPLITRS) Summer School is an international and interactive event between universities, research institutions and private firms that considers state-of-the-art remote sensing technology, sophisticated and comprehensive modeling approaches, data analysis, and sophisticated software capabilities – all of which is incorporated in the framework of building a well-designed strategy to protect natural resources and public well-being.

The process of globalization requires a specific role of teachers to adapt themselves for international opportunities, rearranging their skills, achievements, and previous experiences. 

We try our best to create professionally healthy and relaxed atmosphere during the SPLITRS events, where all participants feel comfortable and equally treated regardless of their gender, orientation, religion or race. 

Young people are our future and our future starts now.

DIRECTORS
Juan Manuel Jurado Rodríguez, PhD
University of Jaén, Spain

Prof. Juan Carlos Torres, PhD
University of Granada

Joaquim João Sousa, PhD
The University of Trás-os-Montes and Alto Douro (UTAD) / INESC TEC
Portugal

PROGRAM DIRECTOR
Anita Simic Milas, PhD
Bowling Green State University,
USA

PARTNERS 

Mississippi State University, USA
-Dr. Nicolas Younan

Oikon Ltd. – Institute of Applied Ecology, Zagreb, Croatia
-Mr. Branimir Radun

Croatian Forest Research Institute, Zagreb, Croatia
-Dr. Sanja Peric
-Dr. Ivan Balenovic

GEO UNIT, Zadar, Croatia
-Dr. Luka Jurjevic

University of Zadar, Croatia
-Dr. Ivan Maric
-Dr. Fran Domazetovic
-Dr. Denis Rados

NubiGroup, Thessaloniki, Greece
-Dr. Konstantinos Ntouros

PRESENTERS

Jorge Delgado-García

Dr. Jorge Delgado-García received his Ph.D. in Geology (Geostatistics) from the University of Granada (Spain) in 1993. He is currently an Associate Professor in Cartographic, Geodetic, and Photogrammetric engineering at the University of Jaén (Spain). His main interests are photogrammetric (image and laser) data acquisition & processing and 3D modeling, applied to different applications. He has extensive international experience in the execution of cartographic projects and in the development and implementation of new methodologies. Dr. Jorge Delgado-García will teach a hands-on lecture on LiDAR processing with LAStools.

rapidlasso GmbH

rapidlasso GmbH was founded in 2012 by lidar pioneer Dr. Martin Isenburg. The company’s flagship product, the LAStools software suite, is a collection of 56 highly efficient, batch-scriptable, multicore command-line tools for processing point clouds. All tools can be run from the command line via the new native GUI *laslook* or via toolboxes (ArcGIS PRO, QGIS, FME, Erdas).

“Tools for a Better Tomorrow:…..

LAStools are popular for their blazing speed and high productivity. The software combines robust algorithms with efficient I/O and memory-efficient management to achieve high throughput for datasets containing billions of points. The software runs on Windows and Linux. It has deep market-penetration and is widely used across industry, government agencies, research labs, and educational institutions. The ability to script the modules makes them ideal for use on web servers or in the cloud” (Lidar Magazine, 2023).

Dr. Martin Isenburg was a lecturer at the SPLIT REMOTE SENSING Summer School for six years, from 2014-2019.

Mattia Callegari

Dr. Mattia Callegari received both the bachelor and master’s degrees in Electronics and Telecommunications Engineering from the University of Trento, in 2010 and 2012 respectively. His Master thesis regarded snow-pack parameters retrieval in Alpine areas from Synthetic Aperture Radar and remote sensed optical data. In 2015 he received the Ph.D. degree on Alpine cryosphere dynamics monitoring using remote sensing techniques and ground-based data at the Department of Earth and Environmental Sciences at the University of Pavia. Since 2016, he is a researcher at EURAC-Institute for Earth Observation (Bolzano, Italy). His main fields of expertise are: alpine cryosphere monitoring with satellite data; image processing and classification; machine learning; SAR data processing including SAR polarimetry and interferometry. As a researcher at EURAC-Institute for Earth Observation he collaborated in many national and international projects. Dr. Mattia Callegari will teach a hands-on lecture on SAR with a practial session on processing of SAR images.

Luis Paulo Reis

Dr. Luis Paulo Reis is an Associate Professor and Director of the Artificial Intelligence and Computer Science Laboratory at the University of Porto in Portugal. He is an IEEE senior member, was president of the Portuguese Society for Robotic and is now the president of the  Portuguese Association for Artificial Intelligence. He was the principal investigator of more than 20 research projects in Artificial Intelligence and Robotics. He won more than 60 scientific awards, including winning over 15 RoboCup international competitions. He supervised 22 PhD and 150MSc theses to completion. He was a plenary speaker at international conferences such as ICAART, ICINCO, LARS/SBR, WAF, IcSports, SYROCO, CLAWAR, WCQR and ECIAIR. He organized more than 60 international scientific events and belonged to the Program Committee of more than 250 scientific events. He is the author of more than 500 publications in international conferences and journals.

Lidia Ortega

Dr. Lidia. M. Ortega (ORCID: 0000-0002-7320-7382) received the BSc degree in Computer Science from the University of Granada (Spain), and the PhD degree from the University of Seville. She is associate professor at the Department of Computer Science at University of Jaén teaching at the High Polytechnics Institute since the 90s. Her research work focuses on Computational Geometry applied to Computer Graphics, 3D GIS, Spatial databases, Geomatics and Precision Agriculture.

David Jurado Rodríguez

Dr. David Jurado Rodríguez is an Associate Professor in the Computer Science Department of the Higher Polytechnic School of Jaén and a member of the Computer Graphics and Geomatics research group at the University of Jaén, Spain. He earned his degree and master’s in Computer Engineering from the University of Jaén in 2018 and 2019, respectively, and completed his doctoral thesis at the University of Córdoba in 2022. His main areas of specialization include augmented reality, virtual reality, the study of techniques and algorithms for real-time camera position estimation in controlled environments, 3D modeling and reconstruction, and multisensory data processing.

Juan Roberto Jiménez Pérez

Dr. Juan Roberto Jiménez Pérez is an Associate Professor in the Department of Computer Science at the University of Jaén. He is a member of the Graphics and Geomatic research group and the Center for Advanced Studies in Information and Communication Technologies of the University of Jaén. In 1998 he receives his master degree in computer science in the University of Granada. In 1999, he was granted with a scholarship from the Ministry of Education and Science for the development of a doctoral thesis at the University of Girona. In 2000, he was hired by the University of Jaén in the Computer Science Department. In 2010, he read his doctoral thesis with the European mention at the Polytechnic University of Catalonia under the supervision of Xavier Pueyo (University of Girona) and Karol Myszkowski (Max Planck Institute for Informatics – Germany). The thesis dealt with interactive visualization techniques for physically-based scenarios including participating media (clouds, dirt, fog, …) taking advantage of graphics cards capabilities (GPU). His research focuses on computer graphics techniques, GPU programming, simulation and virtual and augmented reality. He has more than 30 international publications between journals, chapter of books and conferences. He is currently in charge of a Spanish national research project.

Antonio Garrido-Almonacid

Dr. Antonio Garrido-Almonacid holds a PhD in Geography from the University of Jaén. He is currently Associate Professor in the Department of Cartographic Engineering at the University of Jaén. His research focuses on GIS applications for spatial analysis, mainly in the multicriteria management of geographic variables with applications in demographic and socio-territorial issues, with recent publications in Journal of Maps or Archeological Prospection. At the same time he has dedicated his work to the geographical landscape account using drones with special dedication to the World Heritage File of the Olive Grove of Andalucia.

Antonio Miguel Ruiz-Armenteros

Dr. Antonio Miguel Ruiz-Armenteros holds a Surveying Engineering degree from the University of Granada (Spain), as well as both a Geodesy and Cartography Engineering degree and a Ph.D. in Geodesy and Cartography Engineering from the University of Jaén (Spain). He gained experience in the private sector of civil engineering before joining the Cartographic, Geodetic, and Photogrammetric Engineering Department of the University of Jaén, where he currently serves as an Associate Professor. Since its creation in 1997, he has been a member of the ‘Microgeodesia Jaén’ research group, mainly focused on the monitoring of crustal deformation using high-precision geodetic techniques. Additionally, since 2005, he has been involved in satellite radar interferometry for deformation monitoring. He has an extensive record of research production and international collaboration.

Mª Isabel Ramos Galán

Maria Isabel Ramos Galán completed her PhD in Geodesy and Cartography Engineering in 2008, University of Jaén. Teaching in this University since 1999. Senior Lecturer since 2019. In 2015, Extraordinary PhD Award. Member of research group Micro-Geodesy Jaen of the PAI since 1999 and the Ibero-American Geodetic Engineering Research Network (RIBINGEO) since its creation in 2018. PhD thesis dealt with application of GNSS to olive grove environment. Additionally, her experience with the analysis of spatial data, geodatabase and high precision positioning techniques has allowed her to collaborate in multidisciplinary researches teams and she has lead many projects. Research interests focus on the integration of geomatics technologies in environmental applications, mainly in agriculture. Working on analysis of geospatial data, remote sensing with UAV, GNSS and spatial data mining. The latter began with the co-direction of a PhD thesis entitled “Advances in GIS and data mining for e-Health applications” (2015), Part of the predictive developments implemented in these thesis have been extrapolated to the environmental and agricultural fields. 29 scientific articles (JCR). Two six-year periods (2005-2011, 2012-2017) recognized by the CNEAI, and this year she applies for the next.  Co-author of the work “Artificial Intelligence for the early prediction of olive harvest”, winner of the “Eduardo Pérez” (2023).

Brígida Mónica Faria

Brígida Mónica Faria is a Coordinator Professor at the School of Health – Polytechnic Institute of Porto (ESS-P.PORTO). She is a researcher and a member of the Directive Board of the Artificial Intelligence and Computer Science Lab (LIACC) at the University of Porto (member of LASI – Associate Laboratory of Intelligent Systems). Her research interests include Machine Learning, Data Mining, Statistics, Data Analysis, Assistive Technology, Robotics, Multimedia and Serious Games. She participated in several research projects and developed fully functional prototypes in these areas. She was co-chair of more than 10 international conferences and workshops with an emphasis on IEEE ICARSC. She is the author of more than 70 journal/conference publications (indexed at SCOPUS and/or ISI Web of Knowledge).

Ruth Córdoba Ortega

Ruth Córdoba Ortega graduated in Geomatics and Topographic Engineering with research experience in the field of geodesy and remote sensing. Possession of academic training and skills in the handling of remote pilot in the open category (subcategory Al/A3). Bachelor’s thesis specialized in radar remote sensing and evaluated with honors. Remote pilot training course in open category, subcategories by the Institute: State Aviation Safety Agency. Online training required to perform operations with IJAS in the open category, providing the knowledge and skills necessary to operate drones in compliance with current regulations and regulations. Research grant (10/2022 – 03/2023) at the Center for Advanced Studies in Earth, Energy and Environmental Sciences of the University of Jaén. Data processing and representation of velocity maps of geodetic points.