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.
* St.Petersburg Polytechnic University
Professor of Water Management and Hydraulic Construction Department
* St.Petersburg State University
Professor of Cartography and Geoinformatics Department
Geoinformation systems (GIS) in regional planning and land use management
BIM & laser scanning; Coupling of environmental physics models and GIS; Agroecosystem modeling in GIS environment; Fuzzy logic methods for decision support in GIS environment.
2011-2014 GIS for drainage system monitoring in Leningrad oblast'
2009-2010 GIS for support of investment program of "RusHydro" company
2001-2004 Information system for the register of the underwater potentially dangerous objects of Russian Federation
1998-2001 GIS for natural resource evaluation in Leningrad oblast'
2017-…. Research and development of algorithms and software for the processing, storage and visualization of laser scanning and photography data
Richard Becker's research interests center around integrating remote sensing techniques with a wide variety of ground based techniques to investigate the interplay between natural and human systems on local and regional scales, both from a water resource and a hazard perspective. He is interested in investigating the nature and origin of water resources, where they are available, how human activities and climate change can affect their sustainable use, and how alterations in surface water systems can affect the surroundings and the environment at large. In addition, he applies this integrated approach to assess hazards generated by human and natural causes. At the environmental remote sensing lab he makes use of and teaches an interdisciplinary approach, which involves integrating remote sensing (from satellite to UAV scale), GIS, hydrologic modeling, geochemistry, geophysics, ecological observations and field techniques to investigate a wide range of geological and environmental problems related to water resources and the impacts of water utilization practices.
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.
I am an Associate Professor of Medical Geography at the University of Florida. I am jointly appointed to the Emerging Pathogens Institute and I run BSL-3 Select Agent pathogen lab focused on bacteria. I founded and direct the Spatial Epidemiology & Ecology Research Lab, which combines our BSL-3 work with spatial modeling of pathogen habitats, animal movements, and ecological modeling.
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.
Epidemiologist at the DAFM Ireland, and an Honorary Lecturer at the School of Biological Sciences, Queen's University Belfast, UK. My research interests are primarily focused on infectious disease in wildlife and domestic hosts, wildlife ecology and management, and the concept of "one health".
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.