001021001 001__ 1021001
001021001 005__ 20240226075326.0
001021001 037__ $$aFZJ-2024-00461
001021001 1001_ $$0P:(DE-Juel1)168418$$aBrogi, Cosimo$$b0$$eCorresponding author$$ufzj
001021001 1112_ $$aAgrogeophysics 2022$$cBrussels$$d2022-03-11 - 2022-03-11$$wBelgium
001021001 245__ $$aCosmic-ray neutron sensing in support of precision irrigation or: how a fairly simple question yields a puzzling answer.
001021001 260__ $$c2022
001021001 3367_ $$033$$2EndNote$$aConference Paper
001021001 3367_ $$2DataCite$$aOther
001021001 3367_ $$2BibTeX$$aINPROCEEDINGS
001021001 3367_ $$2DRIVER$$aconferenceObject
001021001 3367_ $$2ORCID$$aLECTURE_SPEECH
001021001 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1705320293_7477$$xInvited
001021001 520__ $$aThe agricultural sector is increasingly reliant on water availability, especially given expected increase of agricultural droughts related to climate change. Thus, improved soil moisture (SM) monitoring tools are needed to support more efficient water management strategies such as precision irrigation. A novel and non-invasive method is cosmic-ray neutron sensing (CRNS). It is characterized by a large footprint (~240m) and relies on the negative correlation between fast neutrons originating from cosmic radiation and SM. Despite promising results in the monitoring of SM dynamics and patterns, only a few studies explored the use of CRNS for irrigation management. In this study, two apple orchards of ~1.2 ha located in the Pinios Hydrological Observatory (Greece) were provided with CRNS probes. These were supported by extensive monitoring of SM and climate data in the context of the H2020 ATLAS project. In capturing irrigation events, the agreement between the CRNS and the validation measurements depended largely on a) the timing of irrigation, b) the CRNS calibration strategy, c) precipitation, and d) the management of the surrounding fields. In parallel, we performed neutron transport simulations of multiple scenarios with variable irrigated area and soil moisture by using the URANOS model. This allowed the study of how the surrounding environment influences the effectiveness of a CRNS sensor when its footprint is larger than the area of interest. This combination of simulations and experiments is providing key insights on how CRNS methods can move from a proof o concept to a relevant tool in actual precision irrigation scenarios.
001021001 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001021001 536__ $$0G:(GEPRIS)357874777$$aDFG project 357874777 - FOR 2694: Large-Scale and High-Resolution Mapping of Soil Moisture on Field and Catchment Scales - Boosted by Cosmic-Ray Neutrons (357874777)$$c357874777$$x1
001021001 7001_ $$0P:(DE-Juel1)129440$$aBogena, Heye$$b1$$ufzj
001021001 7001_ $$0P:(DE-HGF)0$$aKöhli, Markus$$b2
001021001 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, Harrie-Jan$$b3$$ufzj
001021001 7001_ $$0P:(DE-HGF)0$$aPanagopoulos, Andreas$$b4
001021001 7001_ $$0P:(DE-Juel1)164848$$aDombrowski, Olga$$b5$$ufzj
001021001 7001_ $$0P:(DE-Juel1)179211$$aChatzi, Anna$$b6
001021001 7001_ $$0P:(DE-HGF)0$$aBabakos, Konstantinos$$b7
001021001 909CO $$ooai:juser.fz-juelich.de:1021001$$pVDB
001021001 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)168418$$aForschungszentrum Jülich$$b0$$kFZJ
001021001 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129440$$aForschungszentrum Jülich$$b1$$kFZJ
001021001 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Physikalisches Institut, Heidelberg University, Germany$$b2
001021001 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138662$$aForschungszentrum Jülich$$b3$$kFZJ
001021001 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Soil & Water Resources Institute, Hellenic Agricultural Organization "DEMETER", Thessaloniki, Greece$$b4
001021001 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)164848$$aForschungszentrum Jülich$$b5$$kFZJ
001021001 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Soil & Water Resources Institute, Hellenic Agricultural Organization "DEMETER", Thessaloniki, Greece$$b7
001021001 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
001021001 9141_ $$y2023
001021001 920__ $$lyes
001021001 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
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001021001 980__ $$aVDB
001021001 980__ $$aI:(DE-Juel1)IBG-3-20101118
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