Hauptseite > Publikationsdatenbank > Understanding soil and plant interaction by combining ground-based quantitative electromagnetic induction and airborne hyperspectral data > print |
001 | 850749 | ||
005 | 20220930130154.0 | ||
024 | 7 | _ | |a 10.1029/2018GL078658 |2 doi |
024 | 7 | _ | |a 0094-8276 |2 ISSN |
024 | 7 | _ | |a 1944-8007 |2 ISSN |
024 | 7 | _ | |a 2128/19886 |2 Handle |
024 | 7 | _ | |a WOS:000443129500038 |2 WOS |
037 | _ | _ | |a FZJ-2018-04527 |
082 | _ | _ | |a 550 |
100 | 1 | _ | |a von Hebel, Christian |0 P:(DE-Juel1)145932 |b 0 |e Corresponding author |
245 | _ | _ | |a Understanding soil and plant interaction by combining ground-based quantitative electromagnetic induction and airborne hyperspectral data |
260 | _ | _ | |a Hoboken, NJ |c 2018 |b Wiley |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1562745558_16032 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a For the first time, we combine depth-specific soil information obtained from the quantitative inversion of ground-based multi-coil electromagnetic induction (EMI) data with the airborne hyperspectral vegetation mapping of 1x1 m pixels including sun-induced fluorescence (F) to understand how subsurface structures drive above-surface plant performance. Hyperspectral data were processed to quantitative F and selected biophysical canopy maps, which are proxies for actual photosynthetic rates. These maps showed within-field spatial patterns, which were attributed to paleo-river channels buried at around 1 m depth. The soil structures at specific depths were identified by quantitative EMI data inversions and confirmed by soil samples. Whereas the upper ploughing layer showed minor correlation to the plant data, the deeper subsoil carrying vital plant resources correlated substantially. Linking depth-specific soil information with plant performance data may greatly improve our understanding and the modeling of soil-vegetation-atmosphere exchange processes. |
536 | _ | _ | |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) |0 G:(DE-HGF)POF3-255 |c POF3-255 |f POF III |x 0 |
536 | _ | _ | |a Better predictions with environmental simulation models: optimally integrating new data sources (jicg41_20100501) |0 G:(DE-Juel1)jicg41_20100501 |c jicg41_20100501 |f Better predictions with environmental simulation models: optimally integrating new data sources |x 1 |
588 | _ | _ | |a Dataset connected to CrossRef |
700 | 1 | _ | |a Matveeva, Maria |0 P:(DE-Juel1)130098 |b 1 |u fzj |
700 | 1 | _ | |a Verweij, Elizabeth |0 P:(DE-Juel1)169328 |b 2 |
700 | 1 | _ | |a Rademske, Patrick |0 P:(DE-Juel1)162306 |b 3 |u fzj |
700 | 1 | _ | |a Kaufmann, Manuela Sarah |0 P:(DE-Juel1)168553 |b 4 |
700 | 1 | _ | |a Brogi, Cosimo |0 P:(DE-Juel1)168418 |b 5 |
700 | 1 | _ | |a Vereecken, Harry |0 P:(DE-Juel1)129549 |b 6 |
700 | 1 | _ | |a Rascher, Uwe |0 P:(DE-Juel1)129388 |b 7 |u fzj |
700 | 1 | _ | |a van der Kruk, Jan |0 P:(DE-Juel1)129561 |b 8 |u fzj |
773 | _ | _ | |a 10.1029/2018GL078658 |0 PERI:(DE-600)2021599-X |n 15 |p 7571-7579 |t Geophysical research letters |v 45 |y 2018 |x 0094-8276 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/850749/files/F7425861.pdf |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/850749/files/Hebel_et_al-2018-Geophysical_Research_Letters-1.pdf |y Restricted |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/850749/files/2018GL078658_AcceptedArticle.pdf |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/850749/files/Hebel_et_al-2018-Geophysical_Research_Letters-1.pdf?subformat=pdfa |x pdfa |y Restricted |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/850749/files/2018GL078658_AcceptedArticle.pdf?subformat=pdfa |x pdfa |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/850749/files/F7425861.pdf?subformat=pdfa |x pdfa |
909 | C | O | |o oai:juser.fz-juelich.de:850749 |p openaire |p open_access |p OpenAPC |p driver |p VDB:Earth_Environment |p VDB |p openCost |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)145932 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)130098 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)162306 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)168553 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)168418 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 6 |6 P:(DE-Juel1)129549 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 7 |6 P:(DE-Juel1)129388 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 8 |6 P:(DE-Juel1)129561 |
913 | 1 | _ | |a DE-HGF |l Terrestrische Umwelt |1 G:(DE-HGF)POF3-250 |0 G:(DE-HGF)POF3-255 |2 G:(DE-HGF)POF3-200 |v Terrestrial Systems: From Observation to Prediction |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Erde und Umwelt |
914 | 1 | _ | |y 2018 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b GEOPHYS RES LETT : 2015 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)IBG-3-20101118 |k IBG-3 |l Agrosphäre |x 0 |
920 | 1 | _ | |0 I:(DE-Juel1)IBG-2-20101118 |k IBG-2 |l Pflanzenwissenschaften |x 1 |
920 | 1 | _ | |0 I:(DE-82)080012_20140620 |k JARA-HPC |l JARA - HPC |x 2 |
980 | 1 | _ | |a FullTexts |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
980 | _ | _ | |a I:(DE-Juel1)IBG-2-20101118 |
980 | _ | _ | |a I:(DE-82)080012_20140620 |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a APC |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|