Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-3151 Conference proceedings 2020 Caio K. G. Albuquerque, Sergio Polimante, Andre Torre-Neto, Ronaldo C. Prati Water spray detection for smart irrigation systems with Mask R-CNN and UAV footage 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) 10.1109/metroagrifor50201.2020.9277542 Predictive Analytics Precipitation & Ecological Systems No abstract available 777112
publications-3152 Other 2019 Carlos Kamienski, Ramide Dantas, Rodrigo Filev Maia Internet of Things boots Irrigation in Agriculture (in Portuguese: A Internet das Coisas impulsiona a Irrigação na Agricultura) Computação Brazil Spatial Analysis Precipitation & Ecological Systems No abstract available 777112
publications-3153 Conference proceedings 2022 S. Seshan, D. Vries, M. Zandvoort, A. W. C. van der Helm, J. Poinapen Harvesting the Value of Data: A Data Architectural Smart Solutions Approach for Enabling Digital Water Smart Water - WaterAge Magazine, 10.5281/zenodo.6759760 Data Management & Analytics Groundwater No abstract available 821036
publications-3154 Conference proceedings 2022 Kossieris, P., Pantazis, Bellos, V., C., Makropoulos, C. FIWARE-enabled smart solution for the optimal management and operation of raw-water supply hydraulic works. 7th IAHR Europe Congress 10.5281/zenodo.6769357 Data Management & Analytics Groundwater No abstract available 821036
publications-3155 Conference proceedings 2021 Kossieris, P., Pantazis, C., Makropoulos, C. Data-models for FIWARE-enabled smart applications for raw-water supply system modelling, management and operation. Advances in Hydroinformatics: SIMHYDRO 2021, SimHydro 6th International Conference 10.5281/zenodo.7354552 Uncategorized Groundwater No abstract available 821036
publications-3156 Conference proceedings 2022 Michalis Giannopoulos; Grigorios Tsagkatakis; Panagiotis Tsakalides 4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 10.1109/icassp43922.2022.9746777 Data Management & Analytics Groundwater No abstract available 842560
publications-3157 Conference proceedings 2021 Tsagkatakis Grigorios; Moghaddam Mahta; Tsakalides Panagiotis Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieva IEEE International Geoscience and Remote Sensing Symposium 10.5281/zenodo.6674311 Data Management & Analytics Groundwater No abstract available 842560
publications-3158 Conference proceedings 2020 Tsagkatakis Grigorios; Moghaddam Mahta; Tsakalides Panagiotis Multi-Temporal Convolutional Neural Networks for Satellite-Derived Soil Moisture Observation Enhancement IEEE International Geoscience and Remote Sensing Symposium 10.1109/IGARSS39084.2020.9323790 Data Management & Analytics Groundwater No abstract available 842560
publications-3159 Other 2021 José L. J. Ledesma, Anna Lupon, Eugènia Martí, Susana Bernal Hydrology and riparian forests drive carbon and nitrogen supply and DOC:NO3− stoichiometry along a headwater Mediterranean stream Hydrology and Earth System Sciences Discussions 10.5194/hess-2021-401 Data Management & Analytics Groundwater Abstract. In forest headwater streams, metabolic processes are predominately heterotrophic and depend on both the availability of carbon (C) and nitrogen (N) and a favourable C:N stoichiometry. In this context, hydrological conditions and the presence of riparian forests adjacent to streams can play an important, yet understudied role determining dissolved organic carbon (DOC) and nitrate (NO3−) concentrations and DOC:NO3− molar ratios. Here, we aimed to investigate how the interplay between hydrological conditions and riparian forest coverage drives DOC and NO3− supply and DOC:NO3− stoichiometry in an oligotrophic headwater Mediterranean stream. We analysed DOC and NO3− concentrations, and DOC:NO3− molar ratios during both base flow and storm flow conditions at three stream locations along a longitudinal gradient of increased riparian forest coverage. Further, we performed an event analysis to examine the hydroclimatic conditions that favour the transfer of DOC and NO3− from riparian soils to the stream during large storms. Stream DOC and NO3− concentrations were generally low (overall average ± SD was 1.0 ± 0.6 mg C L−1 and 0.20 ± 0.09 mg N L−1), although significantly higher during storm flow compared to base flow conditions in all three stream sites. Optimal DOC:NO3− stoichiometry for stream heterotrophic microorganisms (corresponding to DOC:NO3− molar ratios between 4.8 and 11.7) was prevalent at the midstream and downstream sites under both flow conditions, whereas C-limited conditions were prevalent at the upstream site, which had no surrounding riparian forest. The hydroclimatic analysis of large storm events highlighted different patterns of DOC and NO3− mobilization depending on antecedent soil moisture conditions: drier antecedent conditions promoted rapid elevations of riparian groundwater tables, hydrologically activating a wider and shallower soil layer, and leading to relatively higher increases in stream DOC and NO3− concentrations compared to events preceded by wet conditions. These results suggest that (i) increased supply of limited resources during storms can promote in-stream heterotrophic activity during high flows, especially during large storm events preceded by dry conditions, and (ii) C-limited conditions upstream were gradually overcome downstream, likely due to higher C inputs from riparian forests present at lower elevations. The contrasting spatiotemporal patterns in DOC and NO3− availability and DOC:NO3− stoichiometry observed at the study stream suggests that groundwater inputs from riparian forests are essential for maintaining in-stream heterotrophic activity in oligotrophic, forest headwater catchments. 834363
publications-3160 Conference proceedings 2016 M. Petitta, K.Hinsby, P.Van Der Keur, M.Caschetto, M.Di Cairano, V.Mikita KINDRA Project- Hydrogeological Research Classification System (HRC-SYS) Groundwater and Society. 43rd International Congress of International Association of Geologists, Montpellier (France) Uncategorized Precipitation & Ecological Systems No abstract available 642047