People

His research is focused on coastal geomorphology, especially beach changes, beach-dune interactions and lagoon morphology, human action, and use of new cartographic tools and data (especially satellite imagery) to improve knowledge about coastal changes. However, he also has been working on Quaternary evolution of coastal landscapes.

Email: jepardo @ cgf.upv.es
Phone: +34 963877000 (75537)

Background

M.Sc Geography – Universitat de València
PhD Physical Geography – Universitat de València

Research Interests

• Changes in fluvial landscapes
• Relationship between karst and tectonics processes
• Automated generalization cartography processes
• Remote sensing applications on urban areas

Ongoing Research

• Coastline changes from remote sensing
• 3D beach changes using LiDAR and photogrammetry

Publications
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His research focuses on LULC classification and change detection using object-oriented image analysis; LiDAR methods and applications in forest structure, attribute estimation and mapping; and the relation of LULC fragmentation metrics and socio-economic variables for the characterization of urban areas. He is currently involved in projects FIRMACARTO and HERITAG.

Email: laruiz @ cgf.upv.es
Phone: +34 963877000 (75536)

Background

BSc & M.Sc Agricultural Engineering – Universidad Politécnica de Madrid
PhD Agricultural Engineering – Universitat Politècnica de València

Research Interests

• Land use/land cover change analysis
• Object-based feature extraction and classification
• Remote sensing and LiDAR in forestry and agriculture
• Landscape fragmentation metrics

Ongoing Research

• Analysis and mapping of forest structure and fuel variables from discrete and full-waveform LiDAR data
• Exploring multitemporal urban land use fragmentation metrics and its relationship with socio-economic variables
• Aplication of object-based classification methods for LULC geodatabase updating

Publications
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He also investigates in subpixel edge detection problems of image interpolation. He works in the definition of a new set of texture semivariogram features for object-oriented image classification. He is also participating in the research related to the computing of the shoreline position deduced from Landsat imagery.

He is currently involved in projects FIRMACARTO and transport of sediments

Email: abalague @ mat.upv.es
Phone: +34 963877000 (86651)

Background

BSc & M.Sc Mathematics sciences, Universitat de Valencia.
PhD – Mathematics sciences, Universitat Jaume I.

Research Interests

• Numerical simulation of sediment transport processes
• High-order interpolation methods for image analysis
• Modelling of beach and fluvial systems
• Regression methods to predict forest structure variables

Ongoing Research

• Numerical-experimental modelling of local scouring downstream of protected bridges in alluvial river beds
• Analysis of the shoreline position extracted from Landsat imagery
• Statistical methods for the estimation of forest structure variables
• Description of a new set of object-based temporal geostatistical features for land-user change detection

Publications
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In the agricultural sector, he is working on potential applications of ALS and TLS data to the field of precision agriculture and their combination with data extracted from automatized digital photogrammetry. Modeling of sand dunes and coastal areas from 3D and multispectral data and their morphological changes is another line of work.

He is currently involved in projects FIRMACARTO and RESETOCOAST

Email: afernan @ cgf.upv.es
Phone: +34 963877000 (75573)

Background

Technical Surveying Engineer – Universitat Politècnica de València.
Engineer in Geodesy and Cartography – Universitat Politècnica de València.
PhD Engineer in Geodesy, Cartography and Geographical Information Systems – Universitat Politècnica de València.

Research Interests

• Terrestrial Laser Scanner (TLS) applied to forestry and agriculture
• Multispectral remote sensing for coastal areas
• Three-dimensional modeling using automated photogrammetry and Structure from Motion (SfM)
• Remote sensing and LiDAR in forestry and agriculture

Ongoing Research

• Analysis and mapping of forest structure and fuel variables from Terrestrial Laser Scanner data
• Multispectral remote sensing in coastal areas to obtain bathymetry
• Analysis of the geometry of fruit trees (olives and almonds) using TLS and digital photogrammetry equipment

Publications
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He has also worked in automatic cartographic representation and generalization, mobile cartography and 3D data acquisition, visualization and modelling for documentation heritage purposes.

He is currently involved in RESETOCOAST project

Email: jpalomav @ upvnet.upv.es
Phone: +34 963877000 (75563)

Background

Technical Surveying Engineer – Universitat Politècnica de València.
Engineer in Geodesy and Cartography – Universitat Politècnica de València.
PhD Engineer in Geodesy, Cartography and Geographical Information Systems – Universitat Politècnica de València.

Research Interests

• Extraction of shorelines from Image processing
• GIS programming
• Cartographic generalization
• Acquisition and dissemination of 3D heritage models through web frameworks

Ongoing Research

• Methods to extract shorelines from LANDSAT and SENTINEL-2 imagery (RESETOCOAST national project)
• Combination of 2D and 3D information for heritage documentation improvement

Publications

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His research focuses on LULC classification and change detection using object-oriented image analysis; update of spatial database, LiDAR methods and applications in forest structure, attribute estimation and mapping.

He is currently involved in project FIRMACARTO.

Email: jrecio @ cgf.upv.es
Phone: +34 963877000 (79553)

Background

B.Sc. Surveying Engineering – Universitat Politècnica de València
M.Sc. Geodetic & Cartographical Engineering– Universitat Politècnica de València
Ph.D. in Geodesy, Cartography and GIS.– Universitat Politècnica de València

Research Interests

• Land use/land cover change analysis
• Object-based image analysis
• Update of spatial databases
• Remote sensing and LiDAR in forestry and agriculture

Ongoing Research

• Application of object-based classification methods for LULC geodatabase updating
• Design of multitemporal descriptive features to detect environmental changes
• Analysis and mapping of forest structure and fuel variables from discrete and full-waveform LiDAR data

Publications
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Email: jaescre @ cgf.upv.es
Phone: +34 962849324

Background

BS degree in Geodesy and Cartography Engineering – Universitat Politècnica de València (Spain)
PhD in Geodesy, Cartography, and Geographical Information Systems – Universitat Politècnica de València (Spain)

Research Interests

• Remote sensing and LiDAR in forestry, agriculture and coast studies
• Land use/land cover change analysis
• Terrestrial Laser Scanner in agriculture and forestry

Ongoing Research

• Estimation of direct and indirect parameters of fruit trees using terrestrial and airborne LiDAR data
• Analysis and mapping of dunes from airborne LiDAR data
• Study of forest structure variables using airborne LiDAR data

Publications
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Other works have been related with the development of a low cost aerial photogrammetric tools, the mathematical co-development of terrestrial photogrammetric constraints oriented to coastal management.

He worked with point clouds derived both from Photogrammetric techniques and LiDAR to obtain derived products needed for the coastal managements (DTMs, DSMs etc). He also co-worked in the development of LiDAR tools in ENVI/IDL.

During 2016 he worked as Quality Control manager in the LiDAR group of Aerodata International Surveys placed in Utrecht (The netherlands). After getting into the LiDAR processing workflow (mainly developed with RiEGL systems/software and TerraScan) he was responsible of the Quality of the delivered data and on fixing any complaint from older deliveries. He was in charge on finding simpler and faster ways to improve the workflow. As a matter of research, he was in charge of spreading the point of view to detect automatically any geometric problem (mainly working with Tie Lines and vertical surface mismatches) trying always to work with freeware and simple but usable tools.

Nowadays he is developing he is part of the CGAT team in charge of spreading the sub-pixel coastline detection he developed in his PhD to be useful for new SENTINEL platform and updating the algorithms to reach new precision levels.

Email: jaime.almonacid.caballer @ gmail.com

Background

Technical Engineering in Surveying – Universitat Politècnica de València
Engineering in Cartography and Geodesy – Universitat Politècnica de València
PhD Cartography – Universitat Politècnica de València

Research Interests

• Subpixel/hiper-resolution processes
• Coastal management tools
• 3D point cloud management
• Spreading of the remote sensing knowledge to non-expert environments
• Bathymetry via Landsat

Ongoing Research

• Big data of coast lines management
• Multitemporal coastlines analysis

Publications
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Dr. Pablo Crespo Peremarch is currently involved in different projects to use remote sensing for forestry and agricultural purposes. He is working on the characterization of the forest structure in different ecosystems by using different sources of laser scanning data (i.e., discrete airborne, terrestrial and unmanned laser scanning, full-waveform airborne laser scanning, and spaceborne laser scanning: GEDI). On the other hand, he is also working on the classification of crop types through convolutional and recurrent neural network methods using high-resolution and Sentinel-1 and 2 imageries as input data.

In addition, he has recently been involved in the MAIL project about the identification of Marginal Lands in Europe in a CO2 sequestration strategy. In this project he has developed a tool in Google Earth Engine to estimate the evolution of CO2 in Marginal Lands along time in the whole of Europe.

Dr. Pablo Crespo Peremarch is currently involved in PAC-2021, MAIL and UN4DRR projects, and he has also been involved in NEXUS, PAC-2020, FIRMACARTO and ForeStructure projects.

Email: pabcrepe @ cgf.upv.es
Phone: +34 963877160 (75576)

Background

Technical Surveying Engineer – Universitat Politècnica de València
Engineer in Geodesy and Cartography – Universitat Politècnica de València
Master’s Degree in Software Engineering, Formal Methods and Information Systems – Universitat Politècnica de València
PhD in Geomatics Engineering – Universitat Politècnica de València

Research Interests

• Remote sensing for forestry and agricultural purposes
• Characterization of forest structure through laser scanning configurations
• Machine learning

Ongoing Research

• Use of remote sensing and deep learning to classify crop types
• Characterization of forest structure in different ecosystems by using different laser scanning configurations
• Estimation of CO2 evolution along time in Marginal Lands in Europe

Publications
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The project attempts to fill the gap between the availability of techniques to obtain remote information and its application in coastal decision-making process. Thus, the research focused on beach characterization and monitoring from remote sensing data, mainly from mid-resolution optical imagery Sentinel-2 and Landsat using the shoreline extraction system SHOREX. From them, different methodologies were proposed to characterize beach morphology considering the aim of improving the comprehension of coastal processes and the management of these spaces.

Nowadays he is part of the CGAT team, working on a project that aims to monitor water fluctuations of Ramsar intermittent saline wetlands in the middle Ebro basin using remote sensing. At the same time, he is collaborating with the national research project MONOBESAT, that attempts a morphological monitoring of beaches using global and freely-available satellite imagery, and the project ECFAS, a proof-of-concept for the implementation of a European Copernicus coastal flood awareness system.

During the last years, he has been involved in the RESETOCOAST national project, and he has been teaching geomorphology, GIS and environmental impact assessment lessons. Previously, he completed his bachelor in Environmental Sciences. His MSc theses were also related to coastal issues by addressing geomorphological analyses and beach management questions.

Email: carcara4 @ upv.es
Phone: +34 963877160 (75576)

Background

Bachelor’s Degree in Environmental Sciences (Universitat Politècnica de València)
Master’s Degree in in Assessment and Environmental Monitoring of Marine and Coastal Ecosystems (Universitat Politècnica de València)
Master’s Degree in Environmental and Territorial Management Techniques (Universitat de València)
PhD in Geomatics Engineering

Research Interests

• Shoreline changes
• Integrated coastal zone management
• Environmental impact
• Sustainable beach management

Ongoing Research

• Monitoring water fluctuations of Ramsar intermittent saline wetlands in the middle Ebro basin using remote sensing.

Publications
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He is involved in FIRMACARTO research project.

Email: jetorpe @ upv.es
Phone: +34 963877160 (75576)

Background

Bachelor of Engineering in Forestry and Natural Environment (Universidad de Castilla-La Mancha, España)
Diploma in Geomatics and Satellite Technology (Universidad Mayor, Chile)
Master of Science in Remote Sensing (Universidad Mayor, Chile)

Research Interests

• Remote sensing in forestry and natural environment
• Generation of models to estimate forest structure and fuel variables
• Analysis and mapping of forest dynamics
• Land cover change analysis

Ongoing Research

• Improvement of the characterization of forest structure in Mediterranean forest through the incorporation and analysis of Terrestrial Laser Scanning (TLS).

Others
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He is currently involved in project FIRMACARTO.

Email: juacarri @ upv.es
Phone: +34 963877160 (75576)

Background

Bachelor’s Degree in Engineering in Geomatics and Topography (Universitat Politècnica de València)
Master’s Degree in Geomatics Engineering and Geoinformation (Universitat Politècnica de València)
International Master’s Degree in Geomatics (Karlsruhe University of Applied Sciences)

Research Interests

• Forest structure characterization from remote sensing imagery.
• Generation of models to estimate fuel mass and forest structure.
• Multi-temporal analysis and quantification of forest variables.
• Software development for forest inventory estimation.
• Modelling forest carbon cycle.

Ongoing Research

• Characterization of the forest structure in Mediterranean forests through the study and analysis of high resolution image processing methodologies at different scales.
• Use and analysis of geomatics techniques applied for the generation of carbon estimation models.

Others
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Email: maar12m @ doctor.upv.es
Phone: +34 963877160 (75576)

Background

Bachelor’s Degree in Geographic and Environmental Engineering (Universidad de las Fuerzas Armadas-ESPE, Sangolquí – Ecuador)
Master’s Degree in Geomatics Engineering and Geoinformation (Universitat Politècnica de València)

Research Interests

• Analysis of the incidence of the moisture content of live fuel in the evaluation of the risk of forest fire.
• Relationship between live fuel moisture with spectral indices and meteorological data.
• Multitemporal analysis of meteorological variables in the Valencian Community forest areas.
• Characterization of the forest structure of Mediterranean forests.

Ongoing Research

• Estimation of the moisture content of live fuel in Mediterranean forests, shrubs and shrubs using Sentinel-2 images.
• Construction of precise and robust LFMC models from forest plots.
• Modelling live fuel moisture content for wildfire risk evaluation and mapping in the Valencian Community forest areas.

At the CGAT she worked on the development of techniques for shoreline detection and other coastal indicators through image processing and remote sensing. Indeed, as part of her Ph.D she was immersed in the development of SHOREX and C-Pro tools and other projects working with Surfcam online streaming cameras and the CoastSnap initiative using crowd-sourced smartphone images. In 2019 she defended her PhD “Photogrammetry and image processing techniques for beach monitoring” with a grade of Excellent and the Cum Laude award, as well as the International Doctorate mention.

Email: elena.sanchez.upv @ gmail.com

Background

Technical Surveying Engineer (Universitat Politècnica de València)
Engineer in Geodesy and Cartography (Universitat Politècnica de València)
PhD in Mathematics (Universitat Politècnica de València)

Research Interests

• Global analysis of trace gases
• Development of techniques for shoreline detection and other coastal indicators
• Coastal video monitoring and forecast numerical models

Ongoing Research

• Mapping methane point emissions with multispectral and hyperspectral satellite missions

Publications
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At the CGAT she worked on the characterization of urban areas through the monitorization and modelling of urban dynamic studies, she developed methodologies that allow relating the spatial structure of urban areas to the evolution of geographic, demographic, and socio-economic variables, and was also involved in forest structure studies, such as forest fragmentation and object-based classification with low density LiDAR and high-resolution imagery to fuel strata.

Currently her main research focus is remote sensing for urban applications, combining spatial and statistical data and methods. She is working on spatio-temporal metrics for urban growth pattern characterization and their relationships with socio-economic factors, exposure and vulnerability of informally urbanized areas against landslides, and urban dynamic monitoring in different geographic context.

Email: martasapena @ gmail.com

Background

Technical Surveying Engineer (Universitat Politècnica de València)
Engineer in Geodesy and Cartography (Universitat Politècnica de València)
PhD in Geomatics Engineer (UPV & Universidad Politécnica de Madrid)

Research Interests

• Spatio-temporal metrics and links to socio-economic factors
• Urban risk assessment
• Urban growth and migration

Ongoing Research

• Population disaggregation (dasymetric and statistical methods)
• Multi-scale exposure and vulnerability assessment to landslides in Medellín, Colombia
• Identifying migration pathways using remote sensing in Western Africa

Publications
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Within the CGAT his work was focused on integrating multiple-source remote-sensing data for automatic land-use/land-cover mapping agricultural, urban, and forest scenarios. Since 2012 Txomin works as post-doctoral research fellow in the Integrated Remote Sensing Studio of the University of British Columbia. His current project develops big-data methods for image compositing and time-series analyses of massive Landsat data for monitoring land cover and land-cover changes in Canada’s boreal forest.

Email: txominhermos @ gmail.com

Background

Technical Surveying Engineer (Universidad del País Vasco/Euskal Herriko Unibertsitatea)
Engineer in Geodesy and Cartography (Universitat Politècnica de València)
MSc in Geographical Information Management (Cranfield University)
PhD in Geodesy, Cartography and Geographical Information Systems (Universitat Politècnica de València)

Research Interests

• Time series analysis
• Land cover change analysis
• Big data computing

Ongoing Research

• National Terrestrial Ecosystem Monitoring System ( NTEMS )

Publications
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His research work within the group has been focused on forestry LiDAR studies and LU/LC object-based change detection using image processing and machine learning methods. His PhD was related to multitemporal object-based feature extraction using very high resolution images for LU/LC change detection.

He is currently working in the oil business performing geospatial Quality Control of Seismic Navigation data and geodesy consultancy in Geograf AS, Norway.

Email: jogiye @ gmail.com

Background

Technical Engineering in Surveying – Universitat Politècnica de València
Engineering in Cartography and Geodesy – Universitat Politècnica de València
PhD Student in Geographical Engineering – Universidad Politécnica de Madrid

Research Interests

• Object-based change detection
• Image processing
• Machine learning
• Feature extraction
• LiDAR

Ongoing Research

• LU/LC object-based change detection
• Multitemporal feature extraction

Publications
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