Javier Marcello Ruiz
GPIT
Phone: +34 928 457365
Fax:+34 928 451243
javier.marcello@ulpgc.es
Edificio de Electrónica y Telecomunicaciones
Campus Universitario de Tafira
35017 Las Palmas de Gran Canaria
Spain
Javier Marcello received the M.S. degree in electrical engineering from the Technical University of Catalonia (UPC), Barcelona, Spain, in 1993 and the Ph.D. degree from the Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain, in 2006. From 1992 to 2000, he was the Head Engineer at the Spanish Aerospace Defense Administration (Instituto Nacional de Técnica Aeroespacial), serving at the Canary Space Center, for different programs(Cospas-Sarsat, TT&C, MINISAT, Helios,and CREPAD). In January 1994, he joined the Department of Signal and Communications, ULPGC, where he has been an Associate Professor in the Telecommunication School, lecturing on the areas of satellite and radio communications, since 1999. His research is conducted at the Institute of Oceanographyand Global Change (ULPGC) and includes multisensor/multitemporal satellite remote sensing image processing, particularly image segmentation, classification, fusion, and oceanographic and land product generation.
- Remote sensing image pre-processing techniques (radiometric, geometric and atmospheric corrections; cloud detection)
- Remote sensing image processing techniques (segmentation; feature extraction; motion estimation; classification and image fusion)
- Remote sensing analysis of data from many sensors and satellites (AVHRR, SeaWIFS, MODIS, MERIS, ATSR, Seviri, SPOT, Landsat, Deimos, Quickscat, Ikonos, Geoeye, Quickbird, Worldview, Aster, etc.)
- Climate change, marine, costal and land analysis.
Recent publications
Mederos Barrera, A., Marcello Ruiz, F. J., Eugenio González, F., Hernández, E. 2022. Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models https://doi.org/10.1016/j.jag.2022.102990
Eugenio, F., Marcello, J., Mederos-Barrera, A., Marqués, F., 2021. High Resolution Satellite Bathymetry Mapping: Regression and Machine Learning Based Approaches https://doi.org/10.1109/TGRS.2021.3135462
Salgueiro, L, Marcello Ruiz, J., Vilaplana, V. Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks. 2021 https://doi.org/10.3390/rs13245007
Abadal, S., Salgueiro, L, Marcello Ruiz, J., Vilaplana, V. A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery. 2021 https://doi.org/10.3390/rs13224547
Eugenio, F., Marcello, J., Martín, J., 2020. Multiplatform Earth Observation Systems for Monitoring Water Quality in Vulnerable Inland Ecosystems: Maspalomas Water Lagoon. Remote Sensing 12(2), 284. https://doi.org/10.3390/rs12020284
Salgueiro Romero, L., Marcello, J., Vilaplana, V., 2020. Super-resolution of sentinel-2 imagery using generative adversarial networks. Remote Sensing, 12 (15), 2424. https://doi.org/10.3390/rs12152424
Marcello, J., Eugenio, F., Gonzalo-Martín, C., Rodríguez-Esparragón, D., Marqués, F., 2020. Advanced Processing of Multiplatform Remote Sensing Imagery for the Monitoring of Coastal and Mountain Ecosystems. IEEE access, 9, 6536-6549. https://doi.org/10.1109/ACCESS.2020.3046657
Marrero-Betancort, N., Marcello, J., Rodríguez-Esparragón, D., Hernández-León, S., 2020. Wind variability in the Canary Current during the last 70 years. Ocean Science, 16, 951–963.
https://doi.org/10.5194/os-16-951-2020
Caballero-Leiva, I., Marrero Betancort, N., Rodríguez Betancort, J.J., Rodríguez-Esparragón, D., Marcello, J., 2019. An Approximation to the Relationship Between Climatic Variables Obtained Through Remote Satellite Sensors and Hospital Admissions: A Case Study on Gran Canaria Island. Sensors & Transducers, 238(11), 80-86. Access publication.
Eugenio, F., Marcello, J. (eds). 2019. Very High Resolution (VHR) Satellite Imagery: Processing and Applications. MDPI, Basel. https://doi.org/10.3390/books978-3-03921-757-1
Ibarrola-Ulzurrun, E., Marcello, J., Gonzalo-Martín, C., Martín-Esquivel, J.L., 2019. Temporal dynamic analysis of a mountain ecosystem based on multi-source and multi-scale remote sensing data. Ecosphere 10(6):e02708. https://doi.org/10.1002/ecs2.2708
Ibarrola-Ulzurrun, E., Drumetz, L., Marcello, J., Gonzalo-Martín, C., Chanussot, J., 2019. Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability. IEEE Transactions on Geoscience and Remote Sensing, 57(7) 4775-4788. https://doi.org/10.1109/TGRS.2019.2892903
Marcello J., Ibarrola-Ulzurrun E., Gonzalo-Martín C., Chanussot J., Vivone G., 2019. Assessment of Hyperspectral Sharpening Methods for the Monitoring of Natural Areas Using Multiplatform Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 57(10), 8208-8222 https:/doi.org/10.1109/TGRS.2019.2918932
Eugenio, F., Alfaro, M., Martín,, J., Marcello, J., 2019. Multiplatform Earth Observation Systems for the Monitoring and Conservation of Vulnerable Natural Ecosystems. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 8230-8233. https://doi.org/10.1109/IGARSS.2019.8900425
Marqués, F., Eugenio, F., Alfaro, M., Marcello, J., 2019. Bathymetry Mapping using very High Resolution Satellite Multispectral Imagery in Shallow Coastal Waters of Protected Ecosystems. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 8234-8237. https://doi.org/10.1109/IGARSS.2019.8897992
Rodríguez-Esparragón, D., Marrero Betancort, N., Marcello, J., Hernández-León, S., 2019. Chlorophyll-a estimation from remote sensing data of sea surface temperature and aerosol optical thickness through a shallow neural network. 2019 International Conference in Engineering Applications (ICEA), 1-5. https://doi.org/10.1109/CEAP.2019.8883506
Marcello, J., Rodríguez-Esparragón, D., Ibarrola-Ulzurrun, E., Gonzalo-Martín, C., 2019. Multisensor fusion for the accurate classification of vegetation in complex ecosystems. 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 000081-000086. https://doi.org/10.1109/IWOBI47054.2019.9114397
Rodríguez-Esparragón, D., Marcello, J., Marrero Betancort, N., Gonzalo-Martín, C., 2019. Estimation of wind intensity data from reanalysis data using a shallow neural network. 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 000087-000092. https://doi.org/10.1109/IWOBI47054.2019.9114455
Medina Machín, A., Marcello, J., Hernández-Cordero, A. I., Martín Abasolo, J., & Eugenio, F., 2019. Vegetation species mapping in a coastal-dune ecosystem using high resolution satellite imagery. GIScience & remote sensing, 56(2), 210-232. https:/doi.org/10.1080/15481603.2018.1502910
Ibarrola-Ulzurrun E., Marcello J., Gonzalo-Martin C. 2018. Advanced Classification of Remote Sensing High Resolution Imagery. An Application for the Management of Natural Resources. In: Rocha Á., Reis L. (eds) Developments and Advances in Intelligent Systems and Applications. Studies in Computational Intelligence, vol 718, 1-13. Springer, Cham https://doi.org/10.1007/978-3-319-58965-7_1
Marcello, J., Eugenio, F., Martín, J. Marqués, F., 2018. Seabed Mapping in Coastal Shallow Waters Using High Resolution Multispectral and Hyperspectral Imagery. Remote Sens., 10(8), 1208 https://doi.org/10.3390/rs10081208
Medina Machín, A., Marcello, J., Hernández-Cordero, A.I., Abasolo, J.M., Eugenio, F., 2018. Vegetation species mapping in a coastal-dune ecosystem using high resolution satellite imagery. GIScience and Remote Sensing, 56, 210-232. https://doi.org/10.1080/15481603.2018.1502910
Rodríguez-Esparragón, D., Marcello, J., Gonzalo-Martín, C., García-Pedrero, A., Eugenio, F., 2018. Assessment of the spectral quality of fused images using the CIEDE2000 distance. Computing, 100(11), 1175-1188.
https://doi.org/10.1007/s00607-018-0640-7
Eugenio, F., Marcello, J., Martín, J., Rodríguez-Esparragón, D., 2017. Benthic Habitat Mapping Using Multispectral High-Resolution Imagery: Evaluation of Shallow Water Atmospheric Correction Techniques. Sensor, 17(11), 2639. http://dx.doi.org/10.3390/s17112639
Ibarrola, E., Gonzalo-Martin, C., Marcello, J., García Pedrero, A., Rodríguez-Esparragón, D., 2017. Fusion of High Resolution Multispectral Imagery in Vulnerable Coastal and Land Ecosystems. Sensors 2017, 17(2), 228. http://dx.doi.org/10.3390/s17020228
Ibarrola, E., Marcello, J., Gonzalo-Martín, C., 2017. Advanced Classification of Remote Sensing High Resolution Imagery. An Application for the Management of Natural Resources. Developments and Advances in Intelligent Systems and Applications, vol.718, pp.01-13. http://dx.doi.org/10.1007/978-3-319-58965-7_1
Ibarrola, E., Gonzalo-Martín, C., Marcello, J., 2017. Influence of Pansharpening in Obtaining Accurate Vegetation Maps. Canadian Journal of Remote Sensing, pp. 01-17 http://dx.doi.org/10.1080/07038992.2017.1371583
Ibarrola, E., Marcello, J., Gonzalo-Martin, C., 2017. Assessment of Component Selection Strategies in Hyperspectral Imagery. Entropy, 19(12), 666. http://dx.doi.org/10.3390/e19120666
Rodríguez-Esparragón, D., Marcello, J., Eugenio, F., García-Pedrero, A., Gonzalo-Martín, C., 2017. Object-based quality evaluation procedure for fused remote sensing imagery. Neurocomputing, 255, 40-51. http://doi.org/10.1016/j.neucom.2016.06.091
Marcello, J., Eugenio, F., Perdomo, U., Medina, A., 2016. Assessment of Atmospheric Algorithms to Retrieve Vegetation in Natural Protected Areas Using Multispectral High Resolution Imagery. Sensors 2016, 16(10). http://dx.doi.org/10.3390/s16101624
Martin, J., Eugenio, F., Marcello, J., Medina, A., 2016. Automatic Sun Glint Removal of Multispectral High-Resolution Worldview-2 Imagery for Retrieving Coastal Shallow Water Parameters. http://dx.doi.org/10.3390/rs8010037
Eugenio, F., Marcello, J., Martin, J., 2015. High-resolution maps of bathymetry and benthic habitats in shallow-water environments using multispectral remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 53(7), 3539 - 3549. http://dx.doi.org/10.1109/TGRS.2014.2377300
Marcello, J., Eugenio, F., Estrada-Allis, S., Sangrà, P., 2015. Segmentation and tracking of anticyclonic eddies during a submarine volcanic eruption using ocean colour imagery. Sensors, 15(4), 8732-8748. http://dx.doi.org/10.3390/s150408732
Eugenio, F., Martin, J., Marcello, J., Fraile-Nuez, E., 2014. Environmental monitoring of El Hierro Island submarine volcano, by combining low and high resolution satellite imagery. International Journal of Applied Earth Observation and Geoinformation, 29, 53–66. http://dx.doi.org/10.1016/j.jag.2013.12.009
Marcello, J., Medina, A., Eugenio, F., 2013. Evaluation of spatial and spectral efectiveness of pixel-level fusion techniques. IEEE Geoscience and Remote Sensing Letters, 10, 432-436. http://dx.doi.org/10.1109/LGRS.2012.2207944
Calderero, F., Eugenio, F., Marcello, J., Marqués, F., 2012. Multispectral Cooperative Partition SequenceFusion for Joint Classification and Hierarchical Segmentation. IEEE Geoscience and Remote Sensing Letters, 9, 1012-1016. http://dx.doi.org/10.1109/LGRS.2012.2188776
Fraile-Nuez, E., González-Dávila, M., Santana-Casiano, J. M., Arístegui, J., Alonso-González, I. J., Hernández-León, S., Blanco, M. J., Rodríguez-Santana, A., Hernández-Guerra, A., Gelado-Caballero, M. D., Eugenio, F., Marcello, J., de Armas, D., Domínguez-Yanes, J. F., Montero, M. F., Laetsch, D. R., Vélez-Belchí, P., Ramos, A., Ariza, A. V., Comas-Rodríguez, I., Benítez-Barrios, V. M., 2012. The submarine volcano eruption of El Hierro Island: physical-chemical perturbation and biological response. Nature Scientific Reports , 2, 486. http://dx.doi.org/10.1038/srep00486
Marcello, J., Hernández-Guerra, A., Eugenio, F., Fonte, A., 2011. Seasonal and temporal study of the northwest African upwelling system. International Journal of Remote Sensing, 32, 1843-1859. http://www.dx.doi.org/10.1080/01431161003631576
Marcello, J., Eugenio, F., 2011. Vigilancia del Mar desde el Espacio. Investigación y Ciencia, 32-7, 14-15. http://www.investigacionyciencia.es/investigacion-y-ciencia/numeros/2011/2/vigilancia-del-mar-desde-el-espacio-8697
Valencia, E., Camps, A., Bosch-Lluis, X., Rodriguez-Alvarez, N., Ramos-Perez, I., Eugenio, F., Marcello, J., 2011. On the Use of GNSS-R Data to Correct L-Band Brightness Temperatures for Sea-State Effects: Results of the ALBATROSS Field Experiments. IEEE Geoscience and Remote Sensing Letters, 49-9, 3225-3235. http://dx.doi.org/10.1109/TGRS.2011.2159224
Marchan-Hernandez, J. F., Valencia, E., Rodriguez-Alvarez, N., Ramos-Perez, I., Bosch-Lluis, X., Camps, A., Eugenio, F., Marcello, J., 2010. Sea-state determination using GNSS-R data. IEEE Geoscience and Remote Sensing Letters, 7-4, 621-625. http://dx.doi.org/10.1109/LGRS.2010.2043213
Eugenio, F., Marcello, J., 2009. Featured-based algorithm for the automated registration of multisensorial/multitemporal oceanographic satellite imagery. Algorithms: Special issue Sensors, 2, 1087-1104. http://dx.doi.org/10.3390/a2031087
Marcello, J., Eugenio, F., Marqués, F., Hernández-Guerra, A., Gasull, A., 2008. Motion estimation techniques to automatically track oceanographic thermal structures in multi-sensor image sequences. IEEE Transactions on Geoscience and Remote Sensing, 46(9), 2743-2762. http://dx.doi.org/10.1109/TGRS.2008.919274
Marcello, J., Marqués, J. F., Eugenio, F., Hernández-Guerra, A. Gasull, A., 2007. Motion estimation techniques of automatically track oceanic thermal structures in multisensorial images sequences. IEEE Transactions on Geoscience and Remote Sensing, 46, 2743-2762. http://dx.doi.org/10.1109/TGRS.2008.919274
Marcello, J., Eugenio, F., Marqués, F., 2007. Evaluación de técnicas de correspondencia de regiones para la estimación del movimiento superficial del océano. Revista de Teledetección, 28, 32-42. http://www.aet.org.es/?q=revista28-109
Eugenio, F., Hernández-Guerra, A., Marcello, J., Rovaris, E., 2005. Regional optimization of an atmospheric correction algorithm for the retrieval of sea surface temperature from the Canary Islands-Azores-Gibraltar area using NOAA/AVHRR data. International Journal of Remote Sensing, 26, 1799-1814. http://dx.doi.org/10.1080/01431160582000298341
Marcello, J., Marqués, F. Eugenio, F., 2005. Automatic Tool for the Precise Detection of Upwelling and Filaments in Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 43, 1605-1616. http://dx.doi.org/10.1109/TGRS.2005.848409
Murtagh, F., Barreto, D., Marcello, J., 2003. Decision Boundaries using Bayes factors: The case of cloud masks. IEEE Transactions on Geoscience and Remote Sensing, 41, 2952-2958. http://dx.doi.org/10.1109/TGRS.2003.819874
Eugenio, F., Marcello, J., Marqués, F., Hernández-Guerra, A., Rovaris, E., 2001. A Real Time Remote Sensing Data Acquisition, Processing And Distribution System. IEEE Geoscience And Remote Sensing Newsletter, 120, 10-15. http://www.grss-ieee.org/wp-content/uploads/2009/10/newsletters/archive/sep01.pdf
Eugenio, F., Marcello, J., Hernández-Guerra, A., Rovaris, E., 2001. Methodology To Obtain Accurate Sea Surface Temperature From Locally Received Noaa-14 Data In The Canary-Azores-Gibraltar Area. Scientia Marina, 65, 127-137. http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/708/724