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International Conference on Hydrological Data Analysis and Remote Sensing

📅 2–3 Sep 2026 📍 Budapest, Hungary 👤 Standard / Listener

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$237

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest methodologies and technologies in hydrological data analysis. Contributions may include novel algorithms, data integration techniques, and case studies demonstrating effective data utilization.

This session highlights the role of remote sensing technologies in hydrological studies. Papers may explore satellite imagery applications for precipitation estimation, flood mapping, and water resource monitoring.

This track examines the integration of Geographic Information Systems in hydrological modeling efforts. Topics may include spatial analysis techniques and GIS-based tools for watershed assessment.

This session invites research on new approaches to accurately estimate precipitation using various data sources. Studies may include comparisons of traditional and remote sensing methods.

This track addresses methodologies for monitoring river discharge and its implications for water resource management. Contributions may include case studies and technological advancements in discharge measurement.

This session focuses on the techniques used for mapping and analyzing evapotranspiration. Papers may discuss the impact of evapotranspiration on hydrological cycles and water resource planning.

This track explores the significance of soil moisture analysis in hydrological studies. Research may cover measurement techniques, modeling approaches, and the role of soil moisture in climate interactions.

This session is dedicated to methodologies for flood mapping and assessing flood risk. Contributions may include innovative modeling approaches and case studies of flood-prone areas.

This track focuses on the assessment of groundwater resources using advanced methodologies. Papers may include studies on groundwater modeling, monitoring techniques, and sustainable management practices.

This session examines the development and application of hydrological forecasting models. Contributions may include discussions on model accuracy, validation techniques, and real-world applications.

This track addresses the integration of climate data into hydrological research. Papers may explore the implications of climate variability on hydrological processes and resource management.