Kabindra Adhikari is a soil scientist with expertise in pedometrics, soil-landscape modeling, environmental data science and precision agriculture applications. He holds a PhD in Agroecology with research focusing on pedometrics. His research interests include digital soil mapping, pedology, soil sensing, terrain analysis, soil spectroscopy, soil carbon, soil morphometrics, and ecosystem services. He is developing tools and guidelines to promote precision conservation for croplands by coordinating geospatial data streams for the assessment of sub-field cropland productivity, economics, sustainability and environmental impacts.
Associate Professor of Data Assimilation and Atmospheric Chemistry at the Department of Hydrology and Atmospheric Sciences, University of Arizona (UA). He is also a faculty member of the following UA Graduate Interdisciplinary Programs (GIDP): Remote Sensing and Spatial Analysis and Applied Mathematics.
His research focuses on investigating human fingerprints in the atmosphere. His research combines numerical models and observations to study atmospheric constituents, especially those emitted from combustion-related activities, and how these constituents affect air quality, weather, climate, and our environment.
Dr Michela Bertolotto obtained her PhD in Computer Science from the University of Genova (Italy). She is currently an Associate Professor at the School of Computer Science, University College Dublin.
Her main interests are in Spatial Information Systems and Science.
Research scientist in the Environmental Sciences Division at Oak Ridge National Laboratory. Chief Scientist of the ORNL Distributed Active Archive Center (DAAC) since 2016. The ORNL DAAC provides data management, curation, and data disimmenation for the National Aeronautics and Space Administration’s (NASA) Terrestrial Ecology Program.
Joint Faculty Assistant Professor in the Department of Ecology and Evolutionary Biology at the University of Tennessee, Knoxville.
General research interests: global change ecology, biogeography, and biodiversity. Her research uses remote sensing data, machine learning, and other data science tools to understand the past and present interactions between human societies and ecological communities.
Domenico Capolongo is associate professor of physical geography and geomorphology at University of Bari.
Research interests are in the field of geomorphology and environmental sciences.
In particular he studied the spatial and temporal distribution of erosion processes at different spatial and temporal scales in high rate evolving landscapes. The principal effort is an attempt to develop a better quantitative understanding of physical processes operating on the earth surface. He use some combination of theoretical, numerical and experimental approaches. Because the issue is to understand natural systems, integrating observations and field data (both of active processes and recorded in the geologic record) with theoretical and model results is also an essential component of his research.
He uses GIS, remote sensing and computer simulation as principal tool for qualitative and quantitative insight into this complex systems and as a virtual laboratory to explore theory by simulation.
I am a remote sensing research scientist at the Canadian Forest Service. I integrate geospatial technologies to map and monitor land cover, forest structure and composition, and natural (e.g., fire, insect outbreaks) and anthropogenic (forestry, oil and gas) disturbances in support of forest ecosystems and climate change science and policy.
Marco Cavalli obtained the PhD in Environmental Watershed Management in 2009 at the TeSAF (University of Padova) with a thesis on "Hydrological and morphological characterization of mountain basins by means of airborne LiDAR technology”. Since 2009 Marco Cavalli is Researcher at CNR-IRPI of Padova. His research interests include: Geomorphometry, Airborne Laser Scanning technology (LiDAR) and high-resolution DTMs applications, Geomorphic processes in mountain catchments, Post Flash flood investigation, analysis of historical information, GIS and surface hydrology. Currently, his main interest is related to sediment connectivity assessment through geomorphometric approaches.
He is\was scientific responsible or coordinator of CNR IRPI in several National and European projects (SedAlp, GESTO, Gadria Project, KINOFLOW). Since 2011 he is teaching a course for PhD and post doc researchers entitled 'Geomorphometry: quantitative analysis of earth surface' at the University of Padova. He is\was supervisor of three research grants at CNR IRPI, co-advisor of two PhD and several B.S. and M.S. theses of the University of Padova, Udine, Wageningen, Stockholm on geomorphology and hydrology fields. He is author and co-author of more than 50 papers in international journals.
Tianfeng Chai is an Associate Research Scientist at CICS-MD and the Department of Atmospheric & Oceanic Science, University of Maryland, College Park, Maryland, USA. He got his master and bachelor degrees from Tsinghua University in Beijing, majoring in Fluid Mechanics, Engineering Mechanics, and Environmental Engineering. He earned his Ph.D. at the University of Iowa, with his dissertation of "Four-Dimensional Variational Data Assimilation Using Lidar Data" focusing on atmospheric boundary flow. He then worked with Dr. Greg Carmichael to develop chemical transport model adjoints and computational framework for data assimilation applications before moving to working on the NOAA National Air Quality Forecast Capability (NAQFC) project in 2007. He currently works on the inverse modeling problems using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) to support several projects at NOAA Air Resources Laboratory.
Simon's professional focus is informatics applied to earth and environmental sciences. Starting in geophysics and mineral exploration, he recognised patterns in information structures that are common across multiple applications or domains, and are thus amenable to standardized cross-domain solutions. In support of this goal, he has engaged in various international standardization efforts, primarily in geospatial and web communities. A consistent conceptual view has been adapted to successive technology frameworks, including XML, UML, JSON, RDF, OWL, and Linked Data. His current work is mainly aligning geospatial information standards with semantic web technologies and linked open data principles, with a particular focus on governance arrangements and vocabulary publication and management.
Dr Cox was awarded the 2006 Gardels Medal by OGC, and was selected to present the 2013 Leptoukh Lecture for AGU.
Matt is a Professor of Geospatial Sciences, RMIT University, and Director of the RMIT Information in Society EIP (Enabling Impact Platform). Prior to moving to RMIT University in 2015, Matt was a Professor at the University of Melbourne, where he had also held an ARC Future Fellowship (2010-2014). He moved to Australia in 2004 from the US NCGIA (National Center for Geographic Information and Analysis) at the University of Maine, USA.
His research is connected with spatial reasoning and computing with uncertain and imperfect geospatial information, with applications to defence, emergency response, transportation, and environmental monitoring. Matt is an author of the widely used university textbook "GIS: A Computing Perspective" now in its third edition.
Igor Florinsky is a Principal Research Scientist at the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences. He is an author, co-author, or editor of over 140 publications including 3 books, 2 edited volumes, 55 papers in peer-reviewed journals, and 15 peer-reviewed book chapters. His research interests include digital terrain modeling and geomorphometry, interrelationships between topography, soils, and tectonics, and the influence of the geological environment on humans, society and civilization.
Professor of Geographical Information Science, University of Nottingham.
I have broad interests in geography - spanning activity that lies in the social sciences (e.g. on the motivations, ability and potential of volunteers/citizen sensors to advance geographic research), the environmental sciences (e.g. on land cover changes on the carbon cycle and patterns of biodiversity) and technology/engineering (e.g. on machine learning methods for image analysis). My main research interests focus on the interface between remote sensing, informatics and ecology.