Water4ever Optimizing water use in agriculture to preserve soil and water resources

Optimizing water use in agriculture to preserve soil and water resources. More

Main outputs

  • Gao, Q., Zribi, M., Escorihuela, M.J., Baghdadi, N., 2017. Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution, Sensors 17, 1966,.

  • Gao, Q., Zribi, M., Escorihuela, M.J., Baghdadi, N., Segui, P.Q., 2018. Irrigation Mapping Using Sentinel-1 Time Series at Field Scale, Remote Sens. 10(9), 1495.

  • Ramos, T. B., Simionesei, L., Oliveira, A. R., Darouich, H., Neves, R., 2018. Assessing the impact of LAI data assimilation on simulations of the soil water balance and maize development using MOHID-Land. Water 10, 1367.

  • Capello, G., Biddoccu, M., Ferraris, S., Cavallo, 2019. Effects of tractor passes on hydrological and soil erosion processes in tilled and grassed vineyards. Water, 11, 2118.

  • Ramos, T.B., Castanheira, N., Oliveira, A.R., Paz, A.M., Darouich, H., Simionesei, L., Farzamian, M., Gonçalves, M.C., 2020. Soil salinity assessment using vegetation indices derived from Sentinel-2 multispectral data. Application to Lezíria Gande, Portugal. Agric. Water Manage. 241, 106387.

  • Stefan, V.G., Merlin, O., Escorihuela, M.J., Molero, B., Chihrane, J., Villar, J.M., Er-Raki, S., 2020. Temporal Calibration of an Evaporation-Based Spatial Disaggregation Method of SMOS Soil Moisture Data. Remote Sensing, 12(10), 1671.

  • Simionesei, L., Ramos, T.B., Palma, J., Oliveira, A.R., Neves, R., 2020. IrrigaSys: A web-based irrigation decision support system based on open source data and technology. Comp. Elect. Agric. 178, 105822.

  • Yildiz, K., Karakaya, N., Kilic, S., Evrendilek, F., 2020. Interaction effects of the main drivers of global climate change on spatiotemporal dynamics of high-altitude ecosystem behaviors: process-based modelling. Environ Monit Assess192: 457.

  • Temnani, A., Conesa, M.R., Ruiz, M., López, J.A., Berríos, P., Pérez-Pastor, A., 2021. Irrigation Protocols in Different Water Availability Scenarios for ‘Crimson Seedless’ Table Grapes under Mediterranean Semi-Arid Conditions. Water 13(1), 22;

  • Santos, L.C.; dos Santos, F.N.; Morais, R.; Duarte, C. Potential Non-Invasive Technique for Accessing Plant Water Contents Using a Radar System. Agronomy 2021, 11, 279.

  • Silva, D.Q.; Aguiar, A.S.; dos Santos, F.N.; Sousa, A.J.; Rabino, D.; Biddoccu, M.; Bagagiolo, G.; Delmastro, M. Measuring Canopy Geometric Structure Using Optical Sensors Mounted on Terrestrial Vehicles: A Case Study in Vineyards. Agriculture 2021, 11, 208.

  • Mendes, J.M., Filipe, V.M., dos Santos, F.N., Morais dos Santos, R., 2019. A Low-Cost System to Estimate Leaf Area Index Combining Stereo Images and Normalized Difference Vegetation Index. In: Moura Oliveira, P., Novais, P., Reis, L. (eds), Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science, vol 11804., Springer, Cham.

  • Moura, P., Ribeiro, D., dos Santos, F.N., Gomes, A., Baptista, R., Cunha, M., 2019. Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDARBased Sensor. In: Moura Oliveira, P., Novais, P., Reis, L. (eds), Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science, vol 11804. Springer, Cham.

Data and Resources

Additional Info

Field Value
Project coordinator IST
Last Updated May 2, 2022, 15:01 (UTC)
Created November 21, 2018, 10:00 (UTC)
acronym Water4ever
funder European Commission, Water JPI, WaterWorks2015
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Access level info:eu-repo/semantics/closedAccess
Project identifier grantAgreement/EC/
Start date July 1, 2017, 00:00 (UTC)
End date December 31, 2020, 00:00 (UTC)