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–Č Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-2261 Peer reviewed articles 2017 I. Campos, C.M.U. Neale, A. Calera Is row orientation a determinant factor for radiation interception in row vineyards? Australian Journal of Grape and Wine Research 10.1111/ajgw.12246 AI & Machine Learning Uncategorized No abstract available 633945
publications-2262 Peer reviewed articles 2017 J. Villodre, I. Campos, H. Lopez-Corcoles, J. Gonzalez-Piqueras, L. GonzĂĄlez, V. Bodas, S. Sanchez-Prieto, A. Osann, A. Calera Mapping Optimum Nitrogen Crop Uptake Advances in Animal Biosciences 10.1017/S2040470017000231 Uncategorized Precipitation & Ecological Systems No abstract available 633945
publications-2263 Peer reviewed articles 2015 Silvia Vanino, Giuseppe Pulighe, Pasquale Nino, Carlo De Michele, Salvatore Bolognesi, Guido D’Urso Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment Remote Sensing 10.3390/rs71114708 Uncategorized Precipitation & Ecological Systems The sustainable management of water resources plays a key role in Mediterranean viticulture, characterized by scarcity and competition of available water. This study focuses on estimating the evapotranspiration and crop coefficients of table grapes vineyards trained on overhead “tendone” systems in the Apulia region (Italy). Maximum vineyard transpiration was estimated by adopting the “direct” methodology for ETp proposed by the Food and Agriculture Organization in Irrigation and Drainage Paper No. 56, with crop parameters estimated from Landsat 8 and RapidEye satellite data in combination with ground-based meteorological data. The modeling results of two growing seasons (2013 and 2014) indicated that canopy growth, seasonal and 10-day sums evapotranspiration values were strictly related to thermal requirements and rainfall events. The estimated values of mean seasonal daily evapotranspiration ranged between 4.2 and 4.1 mm·d−1, while midseason estimated values of crop coefficients ranged from 0.88 to 0.93 in 2013, and 1.02 to 1.04 in 2014, respectively. The experimental evapotranspiration values calculated represent the maximum value in absence of stress, so the resulting crop coefficients should be used with some caution. It is concluded that the retrieval of crop parameters and evapotranspiration derived from remotely-sensed data could be helpful for downscaling to the field the local weather conditions and agronomic practices and thus may be the basis for supporting grape growers and irrigation managers. 633945
publications-2264 Peer reviewed articles 2018 Spiegel, H., Mosleitner, T.; Sandén T.; Zaller J.G. Effects of two decades of organic and mineral fertilization of arable crops on earthworms and standardized litter decomposition. Die Bodenkultur, 62, 17-28. Uncategorized Precipitation & Ecological Systems No abstract available 633945
publications-2265 Peer reviewed articles 2018 Isidro Campos, Christopher M.U. Neale, Timothy J. Arkebauer, Andrew E. Suyker, Ivo Z. Gonçalves Water productivity and crop yield: A simplified remote sensing driven operational approach Agricultural and Forest Meteorology 10.1016/j.agrformet.2017.07.018 Data Management & Analytics Uncategorized No abstract available 633945
publications-2266 Peer reviewed articles 2018 Dalezios N.R., Dercas N., and Eslamian S.S. Water scarcity management: part 2: satellite-based composite drought analysis International Journal of Global Environmental Issues Simulation & Modeling Irrigation Systems No abstract available 633945
publications-2267 Peer reviewed articles 2017 S. Stamatiadis, J. S. Schepers, E. Evangelou, C. Tsadilas, A. Glampedakis, M. Glampedakis, N. Dercas, N. Spyropoulos, N. R. Dalezios, K. Eskridge Variable-rate nitrogen fertilization of winter wheat under high spatial resolution Precision Agriculture 10.1007/s11119-017-9540-7 Simulation & Modeling Precipitation & Ecological Systems No abstract available 633945
publications-2268 Peer reviewed articles 2018 G. B. Chirico, A. Pelosi, C. De Michele, S. Falanga Bolognesi, G. D'Urso Forecasting potential evapotranspiration by combining numerical weather predictions and visible and near-infrared satellite images: an application in southern Italy The Journal of Agricultural Science 10.1017/s0021859618000084 Simulation & Modeling Precipitation & Ecological Systems AbstractIrrigation according to reliable estimates of crop water requirements (CWR) is one of the key strategies to ensure long-term sustainability of irrigated agriculture. In southern Mediterranean regions, during the irrigation season, CWR is almost totally controlled by the potential evapotranspiration of the irrigated crop. An innovative system for forecasting crop potential evapotranspiration (ETp) has been implemented recently in the Campania region (southern Italy). The system produces ETp forecasts with a lead time of up to 5 days, by coupling the visible and near-infrared crop imagery with numerical weather prediction outputs of a limited area model. The forecasts are delivered to farmers with a simple and intuitive web app interface, which makes daily real-time ETp maps accessible from desktop computers, tablets and smartphones. Forecast performances were evaluated for maize fields of two farms in two irrigation seasons (2014–2015). The mean absolute bias of the forecasted ETp was <0.3 mm/day and the RMSE was <0.6 mm/day, both for lead times up to 5 days. 633945
publications-2269 Peer reviewed articles 2005 Marie Launay, Martine Guerif Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications Agriculture, Ecosystems & Environment 10.1016/j.agee.2005.06.005 Simulation & Modeling Irrigation Systems No abstract available 633945
publications-2270 Peer reviewed articles 2017 F. Vuolo, L. Essl, L. Zappa, T. Sandén, H. Spiegel Water and nutrient management: the Austria case study of the FATIMA H2020 project Advances in Animal Biosciences 10.1017/s2040470017000541 Data Management & Analytics Precipitation & Ecological Systems No abstract available 633945