Irrigation+

Scientific Papers

• Benefits and pitfalls of irrigation timing and water amounts derived from satellite soil moisture

  Zappa L.; Dari J.; Modanesi S.; Quast R.; Brocca L.; De Lannoy G.; Massari C.; Quintana-Seguí P.; Barella-Ortiz A.; Dorigo W.

  Agricultural Water Management (2024)

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• NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region

  Ayari E.; Kassouk Z.; Lili-Chabaane Z.; Ouaadi N.; Baghdadi N.; Zribi M.

  GIScience and Remote Sensing (2024)

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• The development of an operational system for estimating irrigation water use reveals socio-political dynamics in Ukraine

  Dari J.; Filippucci P.; Brocca L.

  Hydrology and Earth System Sciences (2024)

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• Quantifying the Hydrological Impacts of Irrigation on a Mediterranean Agricultural Context Through Explicit Satellite-Derived Irrigation Estimates

  Dari J.; Quintana-Seguí P.; Barella-Ortiz A.; Rahmati M.; Saltalippi C.; Flammini A.; Brocca L.

  Water Resources Research (2024)

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• Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space

  Dari J., Brocca L., Modanesi S., Massari C., Tarpanelli A., Barbetta S., Quast R., Vreugdenhil M., Freeman V., Barella-Ortiz A., Quintana-Seguí P., Bretreger D., Volden E.

  Earth System Science Data (2023)

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• Sensitivity of surface soil moisture retrieval to satellite-derived vegetation descriptors over wheat fields in the Kairouan plain

  Ayari E.; Zribi M.; Lili-Chabaane Z.; Kassouk Z.; Jarlan L.; Rodriguez-Fernandez N.; Baghdadi N.

  European Journal of Remote Sensing (2023)

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• High-resolution observations from space to address new applications in hydrology

  Brocca L., Zhao W., Lu H.

  Innovation (2023)

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• Irrigation Timing Retrieval at the Plot Scale Using Surface Soil Moisture Derived from Sentinel Time Series in Europe

  Le Page M., Nguyen T., Zribi M., Boone A., Dari J., Modanesi S., Zappa L., Ouaadi N., Jarlan L.

  Remote Sensing (2023)

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• Soil moisture retrieval from Sentinel-1 using a first-order radiative transfer model—A case-study over the Po-Valley

  Quast R.; Wagner W.; Bauer-Marschallinger B.; Vreugdenhil M.

  Remote Sensing of Environment (2023)

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• Flooding in the Digital Twin Earth: The Case Study of the Enza River Levee Breach in December 2017

  Tarpanelli A., Bonaccorsi B., Sinagra M., Domeneghetti A., Brocca L., Barbetta S.

  Water (Switzerland) (2023)

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• A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm.

  Brombacher, J., Rezende de Oliveira Silva, I., Degen, J., Pelgrum H.

  Agricultural Water Management (2022)

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• Double-scale analysis on the detectability of irrigation signals from remote sensing soil moisture over an area with complex topography in central Italy

  Dari, J., Brocca, L., Quintana-Seguí, P., Casadei, S., Escorihuela, M.J., Stefan, V., Morbidelli, R.

  Advances in Water Resources (2022)

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• Irrigation estimates from space: implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm

  Dari, J., Quintana-Seguí, P., Morbidelli, R., Saltalippi, C., Flammini, A., Giugliarelli, E., Escorihuela, M.J., Stefan, V., Brocca, L.

  Agricultural Water Management (2022)

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• High resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River Basin as case study

  Paolo Filippucci, Luca Brocca, Raphael Quast, Luca Ciabatta, Carla Saltalippi, Wolfgang Wagner, Angelica Tarpanelli

  Hydrology and Earth System Sciences (2022)

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• HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists

  Rigon R., Formetta G., Bancheri M., Tubini N., D'amato C., David O., Massari C.

  Hydrology and Earth System Sciences (2022)

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• High-resolution satellite products improve hydrological modeling in northern Italy

  Alfieri L., Avanzi F., Delogu F., Gabellani S., Bruno G., Campo L., Libertino A., Massari C., Tarpanelli A., Rains D., Miralles D.G., Quast R., Vreugdenhil M., Wu H., Brocca L.

  Hydrology and Earth System Sciences (2022)

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• Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP

  Modanesi, M., Massari, M., Bechtold, M., Lievens, H., Tarpanelli, A., Brocca, L., Zappa, L., De Lannoy,G.J.M.

  Hydrology and Earth System Sciences Discussions (2022)

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• How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture?

  Zappa L., Schlaffer S., Brocca L., Vreugdenhil M., Nendel C., Dorigo W.

  International Journal of Applied Earth Observation and Geoinformation (2022)

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• Investigation of Multi Frequency SAR Data to Retrieve the Soil Moisture within a Drip Irrigation Context Using Modified Water Cloud Model

  Ayari E, Kassouk Z, Lili-Chabaane Z, Baghdadi N, Zribi M.

  Sensors (2022)

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• Investigation of Multi-Frequency SAR Data to Retrieve the Soil Moisture within a Drip Irrigation Context Using Modified Water Cloud Model

  Ayari E., Kassouk Z., Lili-Chabaane Z., Baghdadi N., Zribi M.

  Sensors (2022)

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• Irrigation mapping on two contrasted climatic contexts using Sentinel-1 and Sentinel-2 data

  Elwan, E., Le page, M., Jarlan, L., Baghdadi, N., Brocca, L., Modanesi, S., Dari, J., Quintana Segui, P., Zribi

  Water (2022)

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• Closing the water cycle from observations across scales: Where do we stand?

  Dorigo, W., Brocca, L., Wagner, W., Yu, L., Zappa, L.,& Aich, V.

  Bulletin of the American Meteorological Society (2021)

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• Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land

  Modanesi, S., Massari, C., Gruber, A., Lievens, H., Tarpanelli, A., Morbidelli, R., and De Lannoy, G. J. M.

  Hydrology and Earth System Sciences (2021)

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• A comparison between satellite-and model-based approaches developed in the ESA Irrigation+ project framework to estimate irrigation quantities

  Modanesi, S., Dari, J., Massari, C., Tarpanelli, A., Barbetta, S., De Lannoy, G., ... & Brocca, L.

  IEEE International Workshop on Metrology for Agriculture and Forestry (2021)

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• Detecting and mapping irrigated areas in a Mediterranean environment by using remote sensing soil moisture and a land surface model

  Dari J., Quintana-Seguí P., Escorihuela M.J., Stefan V., Brocca L., Morbidelli R.

  Journal of Hydrology (2021)

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• A review of irrigation information retrievals from space and their utility for users

  Massari, C., Modanesi, S., Dari, J., Gruber, A., De Lannoy, G.J.M., Girotto, M., Quintana Seguí, P., Le Page, M., Jarlan, L., Zribi, M., Ouaadi, N., Vreugdenhil, M., Zappa, L., Dorigo, W., Wagner, W., Brombacher, J., Pelgrum, H., Jaquot, P., Freeman, V., Volden, E., Fernandez Prieto, D., Tarpanelli, A., Barbetta, S., Brocca, L.

  Remote Sensing (2021)

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• Irrigation Amounts and Timing Retrieval through Data Assimilation of ESA AO/1-9947/19/I-NB Progress Report – August 2020-April 2021 Surface Soil Moisture into the FAO-56 Approach in the South Mediterranean Region

  Ouaadi, Nadia, Lionel Jarlan, Saïd Khabba, Jamal Ezzahar, Michel Le Page, and Olivier Merlin

  Remote Sensing (2021)

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• Detection and quantification of irrigation water amounts at 500 m using sentinel-1 surface soil moisture

  Zappa L., Schlaffer S., Bauer-Marschallinger B., Nendel C., Zimmerman B., Dorigo W.

  Remote Sensing (2021)

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• Cereal crops soil parameters retrieval using L-band ALOS-2 and C-band sentinel-1 sensors

  Ayari E., Kassouk Z., Lili-Chabaane Z., Baghdadi N., Bousbih S., Zribi M.

  Remote Sensing (2021)

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• Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel 1 Surface Soil Moisture

  Zappa, L., Schlaffer, S., Bauer-Marschallinger, B., Nendel, C., Zimmerman, B., & Dorigo, W.

  Remote Sensing (2021)

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• A new reflectivity index for the retrieval of surface soil moisture from radar data

  Zribi, M., Foucras, M., Baghdadi, N., Demarty, J., Muddu, S..

  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020)

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• Potential for the Detection of Irrigation Events on Maize Plots Using Sentinel-1 Soil Moisture Products

  Michel Le Page, Lionel Jarlan,Marcel M. El Hajj,Mehrez Zribi,Nicolas Baghdadi and Aaron Boone

  Remote Sensing (2020)

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• Exploiting high-resolution remote sensing soil moisture to estimate irrigation water amounts over a Mediterranean region

  Dari, J., Brocca, L., Quintana-Seguí, P., Escorihuela, M.J., Stefan, V., Morbidelli

  Remote Sensing (2020)

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