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Timo Vesala is Professor of Meteorology and Academy Professor at the University of Helsinki’s Faculty of Agriculture and Forestry, Institute for Atmospheric and Earth System Research (INAR). He is also affiliated with the Viikki Plant Science Centre (ViPS) and serves as a supervisor in the Doctoral Programme in Atmospheric Sciences. Research Interests: Micrometeorology and biogeochemical cycles Ecosystem–atmosphere exchanges of greenhouse gases Eddy-covariance methodology and flux networks Boreal lakes, wetlands, and forests as components of the climate system Development of long-term observational infrastructures such as ICOS-Finland Recent research output (2023–2025) is dominated by high-impact articles in Advances in Atmospheric Sciences , Biogeosciences , Agricultural and Forest Meteorology , and Geophysical Research Letters , reflecting a balanced portfolio of process understanding, methodological advances, and large-scale synthesis studies. Scientific Awards: Academy Professor (Akatemiaprofessori) – awarded by the Academy of Finland Doctoral Advising & Grants: Supervised or co-supervised doctoral theses of Sheila Wachiye, E. Lopez-Blanco, and X. Li Principal Investigator on Academy of Finland project “The Hidden Role of Gases in Trees” (2021–2025) Project leader for “Kasvihuonekaasujen maa-ilmakehävaihto järvi- ja suoekosysteemeille” (2024–2026) Co-leader of the art-science initiative “Periferia – Metsätaiteeellinen asema” (2021–2031) Participant in EU flagship EMME-CARE (2017–2026) Labs & Teams: Timo Vesala heads the Micrometeorology Group at INAR and leads the Finnish ICOS (Integrated Carbon Observation System) network node. His team operates multiple eddy-covariance towers across boreal lakes, wetlands, and forests, integrating field observations with modeling and remote-sensing data.

• Micrometeorology
• Biogeochemical Cycles
• Atmospheric Sciences
• +3 more

Dr. Dennis Buckmaster is a Professor in Agricultural & Biological Engineering at Purdue University, serving as Dean's Fellow for Digital Agriculture. He holds a B.S. from Purdue University and M.S./Ph.D. from Michigan State University. His research focuses on digital agriculture, machine systems engineering, and data science applications in farming. He co-coordinates the Agricultural Systems Management program and teaches courses like Computing Technology with Applications and Ag Tech and Innovation. He leads the Open Ag Technology and Systems Center (OATS Center), advancing open-source solutions for agriculture through platforms like ISOBlue and OADA. His work integrates IoT, robotics, and machine learning to optimize crop production, livestock management, and farm decision-making. He has authored over 150 publications on precision agriculture technologies. Professional memberships include American Society of Agricultural and Biological Engineers and Fluid Power Society. He emphasizes data interoperability, edge computing, and bridging engineering with agricultural practices through collaborative frameworks like LATTICE and Meta Ag.

• Digital Agriculture
• Machine Systems Engineering
• Data Science
• +4 more

Dr. Barnali Das is a Teaching Assistant Professor in the Department of Geography and Geospatial Sciences at Kansas State University. Her research focuses on remote sensing applications in coastal and agricultural systems, with particular emphasis on mangrove dynamics, coral reef habitability, and crop yield forecasting. Her work spans three interrelated fields: Coastal ecology (mangrove carbon mapping, shoreline change analysis) Agricultural monitoring (soil moisture modeling for drought early warning, biophysical vs. agro-climatic predictors for crop yields) Geospatial science (machine learning for canopy parameter retrieval, cloud computing in environmental analysis) Recent publications highlight her expertise in: Marine ecosystem assessment (Andaman Islands, Arabian Sea) Coastal zone management (Maharashtra, Panama) Data-driven agriculture solutions (Sub-Saharan Africa) Her research demonstrates a commitment to interdisciplinary environmental science through advanced geospatial technologies.

• Remote Sensing
• Geospatial Sciences
• Environmental Science
• +3 more

Roland Baatz is a Researcher at the Leibniz Centre for Agricultural Landscape Research (ZALF) within the Simulation and Data Science research area. His work focuses on landscape modelling with emphasis on model-data fusion and data assimilation techniques for agro-ecosystem models. Specializes in soil-vegetation-atmosphere continuum processes Develops methodologies for cosmic ray neutron soil moisture sensing Active in climate change impact assessment on agricultural systems Research Trends identified from recent publications include: Advancements in cosmic ray neutron sensor applications for soil moisture monitoring Integration of remote sensing data with crop models for regional-scale agricultural assessments Analysis of drought impacts on ecosystem water-use efficiency Development of data assimilation frameworks for land surface models His work demonstrates strong technical expertise in environmental data analysis , model calibration , and cross-disciplinary collaboration through projects like the COSMOS-Europe soil moisture sensor network and WASCAL observatory in West Africa.

• Landscape Modelling
• Data Assimilation
• Soil Moisture Monitoring
• +2 more

Dr. Philip Kokic is a Visiting Fellow at The Australian National University's Institute for Climate, Energy & Disaster Solutions (ICEDS), affiliated with the College of Science. With a career spanning academia, government, and private industry across Australia and overseas, his expertise lies in statistical methodologies applied to climate, economic, and agricultural systems. His research focuses on operational climate risk analysis for sectors such as agriculture, mining, finance, and telecommunications, alongside developing sophisticated statistical software tools for these analyses. His work integrates advanced statistical techniques like Bayesian modeling, spatial analysis, and robust estimation. Key themes include the vulnerability of rural communities to climate change, adaptive capacity of land managers, and statistical downscaling for climate impact predictions. He has contributed to policy frameworks through studies on drought's socioeconomic impacts and farm-level resilience strategies. Over the past decade, Philip’s research highlights trends in climate projection methodologies, agro-economic modeling, and interdisciplinary approaches to disaster solutions. His publications emphasize bridging climate data with decision-making systems for sustainable adaptation. No notable scientific awards are listed, though his contributions have been recognized through institutional affiliations and collaborative projects. He remains active in ICEDS’ initiatives addressing food security, energy transitions, and climate resilience strategies.

• Climate Risk Analysis
• Agricultural Economics
• Econometrics
• +5 more

Konstantinos Soulis is an Assistant Professor at the Department of Natural Resources Management and Agricultural Engineering , Agricultural University of Athens , specializing in Geoinformatics, Hydrology, and Water Resources Management . His work integrates Geographic Information Systems (GIS) , Remote Sensing , and Hydrological Modeling to address agricultural and environmental challenges. Research Interests: Focus on Agro-hydrology , Soil-Water Dynamics , Wildfire Hydrological Effects , and Climate Dataset Applications in agriculture. Editorial Roles: Co-Editor-in-Chief of the Hydrological Sciences Journal and member of editorial boards for Remote Sensing and Journal of Mountain Science . Teaching: Offers courses in Advanced Hydrology , GIS Applications , and Spatial Statistics at both undergraduate and postgraduate levels. Awards: Recognized with the Best Associate Editor Award (2020) and multiple Publons Peer Review Awards (2017-2019). Ranked in the Top 2% of Researchers Worldwide (2021-2022). Publications: Over 70 works focusing on hydrological modeling , green roof systems , and land use impact assessment using geospatial technologies.

• Hydrology
• Geoinformatics
• Water Resources Management
• +4 more

Dr. Heidrun Else Leonhardt is a Postdoctoral Researcher at the Institute of Sustainable Economic Development , University of Natural Resources and Life Sciences, Vienna (BOKU). With a focus on agricultural economics and socio-ecological dynamics, her work examines land tenure systems, soil conservation behaviors, and policy impacts on sustainable agriculture. Education : M.Sc. in Socio-Ecological Economics and Policy (WU Wien 2013-2015), B.Sc. in Environmental and Bio-Resources Management (2009-2013) Her research integrates qualitative analysis, econometrics, and mixed methods (including Q Methodology) to investigate: Land ownership and rental impacts on agricultural land use Farmer attitudes toward environmental conservation Statistical methodology in agricultural data analysis Key publication themes show expertise in IACS data applications, farmland fragmentation, and climate resilience strategies. Notable awards include the 2022 Best Conference Paper Award (GEWISOLA) and multiple 2021 accolades (AGRANA Förderungspreis, Best Poster Award EAAE). She serves as a reviewer for journals including Land Use Policy and Journal of Environmental Planning and Management . Current projects address: Carbon storage implementation conditions in Austrian agriculture Soil management under climate extremes Institutional influences on land use behavior

• Agricultural Economics
• Ecological Economics
• Sustainable Agriculture
• +4 more

David Morimoto is an Adjunct Professor in the Department of Geography and Tourism Studies at Brock University. He holds a Ph.D. from the University of Western Ontario, an M.Sc. from Queen’s University, and a B.Sc. from Brock University. His research focuses on dendrochronology, paleoecology, and climate change, with a emphasis on tree-ring analysis and paleoclimatic reconstruction. Dr. Morimoto’s work bridges environmental science and climate dynamics, contributing to understanding long-term environmental changes. His recent studies include isotopic analysis of tree-ring cellulose in the Northwest Territories and climate change impacts on agro-climatic indices in Iran. He teaches courses such as GEOG 3P08 (Meteorology), GEOG 3P09 (Principles of Biogeography), and GEOG 4P80 (Dendrochronology). His publications span interdisciplinary approaches to climate science, integrating field data with advanced analytical techniques. While no awards are explicitly listed, his contributions to paleoenvironmental research reflect significant scholarly impact.

• Dendrochronology
• Paleoecology
• Climate Change
• +3 more

Associate Professor at the Technical University of Crete in the Division of Environmental Hydraulics & Coastal and Geoenvironmental Engineering. Holds a Ph.D. and M.Sc. in Environmental Engineering from the Technical University of Crete. Research focuses on hydrological processes and climate interactions. Education: PhD in Environmental Engineering (2010) MSc in Environmental Engineering (2005) Diploma in Mineral Resources Engineering (2002) Research interests include water cycle dynamics, hydroclimatic extremes, and integrated water resources management. Specializes in developing predictive models for climate impact assessment and water resource sustainability under changing environmental conditions. Recent publications demonstrate consistent focus on climate-hydrology interactions, drought assessment, and global water modeling. Research primarily advances understanding of hydrological extremes and climate change impacts on water systems. Participates in multiple international research programs including REACT4MED (agro-ecosystem restoration), STREAM (reservoir management), and climate impact attribution projects. Teaches undergraduate courses in Hydraulics and Hydraulic Structures Design.

• Hydrology
• Climate Science
• Hydrological Modeling
• +2 more

Yehenew G. Kifle is a tenured Associate Professor in the Department of Mathematics and Statistics at the University of Maryland Baltimore County (UMBC), USA. Previously, he held positions as an Associate Professor at the University of Limpopo (South Africa) and Jimma University (Ethiopia). He obtained his Ph.D. in Statistical Data Analysis from Ghent University (Belgium, 2013) under advisors Prof. Luc Duchateau, Prof. Paul Janssen, and Prof. Niko Speybroeck. His M.S. and B.S. degrees are from Addis Ababa University (Ethiopia) and Haramaya University (Ethiopia), respectively. His research focuses on statistical methodologies applied to public health, epidemiology, and agricultural systems. Key areas include survival analysis, Bayesian inference, vector-borne disease control (e.g., malaria and HIV/AIDS), and statistical modeling of environmental and agricultural data. Notably, he has contributed to studies on insecticide efficacy, nutritional interventions for children, and climate-smart agricultural practices. His work spans across Ethiopia, South Africa, and beyond, with a strong emphasis on addressing real-world challenges through rigorous statistical approaches. Despite no explicitly mentioned awards, his extensive publication record reflects impactful contributions to interdisciplinary research. Yehenew has advised students and collaborated on projects involving longitudinal data analysis, frailty models, and spatial epidemiology. His research often integrates field data with advanced statistical techniques to inform policy and public health strategies.

• Biostatistics
• Public Health
• Epidemiology
• +3 more

Holly J. Oldroyd is an Associate Professor in the Department of Civil and Environmental Engineering at the University of California, Davis. She is affiliated with the UC Davis College of Engineering and focuses on research in atmospheric turbulent transport, land-water-atmosphere interactions, and environmental fluid dynamics in complex terrain. Her work integrates field experiments, remote sensing (e.g., Doppler lidar), and numerical modeling to address challenges in climate resilience, wildfire dynamics, and ecosystem health. She advises graduate and undergraduate researchers and leads projects on redwood forest observatories, greenhouse gas emissions, and slope flow dynamics. Research interests include turbulent transport mechanisms in forests and steep terrains, katabatic flow modeling, and hydroacoustic analysis of reservoir emissions. Her team has deployed advanced instrumentation in mountainous regions and agroecosystems, contributing to climate adaptation strategies. She collaborates on multidisciplinary efforts to improve land-atmosphere coupling models and carbon neutrality solutions. Her publications emphasize innovative methods like integrated quadrant analysis for turbulence studies and data-driven wall models for simulating complex flows. Current and former advisees include Matt Miksch (PhD), Wilton Gray IV (MS), and Mary Rose Mangan (MS), among others. Her lab engages in field campaigns such as MATERHORN and leverages machine learning for agro-meteorological data integration.

• Atmospheric Turbulent Transport
• Land-Water-Atmosphere Interactions
• Evapo-Transpiration
• +2 more

Marc Linderman is an Associate Professor at the University of Iowa, specializing in human-environment interactions and remote sensing applications. His research focuses on analyzing landscape dynamics through spatio-temporal modeling, with particular emphasis on land cover change, ecosystem variability, and anthropogenic impacts on natural systems. He holds a PhD from Michigan State University and teaches courses including The Global Environment, Environmental Remote Sensing, and Field Methods in Geography. Research Focus: Linderman develops innovative methods using remote sensing data (including hyperspectral imaging and UAV technology) to quantify human-nature interactions at multiple scales. Key research areas include: Human impacts on vegetation dynamics and habitat change Hyperspectral applications for conservation planning Interannual ecosystem variability across Africa and US agricultural systems Spatio-temporal modeling of land-use change processes Integration of socioeconomic and biophysical data for environmental analysis Publications: His recent articles consistently explore remote sensing-based analysis of environmental change, with recurring themes in land-use modeling, conservation efficacy, vegetation dynamics, and climate impacts on ecosystems. Research frequently incorporates MODIS data, spatial statistics, and case studies from protected areas like Wolong Nature Reserve. Grants & Advising: Linderman has secured funding from NSF and other agencies for projects including hyperspectral imaging applications and distributed hydrologic modeling. He currently seeks PhD students with expertise in hyperspectral data analysis and UAV applications for agro-ecosystem research. Research Infrastructure: Leads initiatives utilizing the Hawkeye Hyperspectral Imager for advanced vegetation analysis and collaborates with the Lab for Observing & Quantifying Aquatic & Terrestrial Ecosystems (LOQATE).

• Remote Sensing
• Human-Environment Interactions
• Land Cover Change
• +3 more

Dr. Toon Haer is an Assistant Professor of Climate Adaptation at the Institute for Environmental Studies (IVM), Department of Water and Climate Risk, Vrije Universiteit Amsterdam. His research focuses on equitable adaptation, climate justice, and integrating behavioral processes into risk models. He leads a VIDI project on equitable coastal adaptation and contributes to the RED&BLUE consortium for Dutch real estate climate risk management. Education: PhD in Flood Risk Adaptation (2018), VU Amsterdam MSc Energy and Environmental Sciences (cum laude, 2012), University of Groningen BSc Technology Management (2010), University of Groningen Research Interests: Climate justice, agent-based modeling, natural hazard risk analysis, cost-benefit analysis of adaptation strategies, and behavioral theories in risk mitigation. Projects: VIDI grant: Investigating equitable coastal adaptation pathways RESILIO: Blue-green roofs in Amsterdam DOWN2EARTH: Drought adaptation in Kenya Strong Roots, Strong Women: Nature-based solutions in Vietnam Awards: Vidi grant from NWO (2023). Advising & Grants: Supervised 2 PhD theses. Active in projects funded by NWO and EU Horizon 2020. Labs/Teams: IVM Research Group on Water and Climate Risk, RED&BLUE consortium.

• Climate Adaptation
• Climate Justice
• Equitable Adaptation
• +6 more

Greg Husak is a Researcher and Principal Investigator at the Climate Hazards Center, University of California, Santa Barbara (UCSB). He holds a Ph.D. in Geography from UCSB, following a BS in Environmental Studies and MA in Geography. His work focuses on food insecurity monitoring in developing countries, leveraging statistical analysis of precipitation, NDVI, hydrologic models, and crop models. He develops decision-support tools using climate forecasts derived from Sea Surface Temperatures and satellite data. Education: BS in Environmental Studies; MA and Ph.D. in Geography, all from UCSB. Research Interests : Monitoring food insecurity through climate variables like precipitation and NDVI; statistical reformulation of forecasts; decision-maker tools for environmental conditions. Key themes include drought prediction, crop yield modeling, and satellite data applications. Article Trends : Recent work emphasizes crop forecasting in Sub-Saharan Africa, drought predictability, and high-resolution precipitation forecasts. Focus areas include climate indices (e.g., SPEI), temperature datasets, and AI-driven agriculture analysis. Studies often address humanitarian applications in conflict zones and ENSO impacts. Awards : None explicitly listed. Advising/Grants : Leads the Climate Hazards Center; oversees projects like CHIRPS and CHIRTS datasets. Collaborates with FEWS NET for food security monitoring. No formal advisee list provided, but likely supervises graduate researchers in these initiatives. Labs/Teams : Director of the Climate Hazards Center, a hub for climate and food insecurity research. Collaborates with NASA Harvest and the Mekong River Commission on hydrological forecasting.

• Food Security
• Climate Science
• Remote Sensing
• +3 more

Vojko Daneu is a researcher at the Institute of Viticulture and Pomology , part of the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU) . His work focuses on integrating climate data with agricultural practices, particularly through drought monitoring systems and crop yield prediction models. Primary affiliation: BOKU, Institute of Viticulture and Pomology Research areas: Drought impacts, climate adaptation in viticulture, environmental data systems He contributes to interdisciplinary projects like Agro-DroughtAustria and COMBIned weather-related RISK assessment , collaborating with institutes such as Soil Research and Meteorology. His publications emphasize data-driven approaches to agricultural sustainability in the Danube region.

• Agronomy
• Viticulture
• Pomology
• +3 more