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Titel |
Simplified spatiotemporal electromagnetic induction -- salinity multi-field
calibration |
VerfasserIn |
Elia Scudiero, Todd Skaggs, Dennis Corwin |
Konferenz |
EGU General Assembly 2017
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Medientyp |
Artikel
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Sprache |
en
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 19 (2017) |
Datensatznummer |
250146575
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Publikation (Nr.) |
EGU/EGU2017-10604.pdf |
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Zusammenfassung |
Salinity-affected farmlands are common in arid and semi-arid regions. To assure long-term
sustainability of farming practices in these areas, soil salinity (ECe) should be routinely
mapped and monitored. Salinity can be measured through soil sampling directed by
geospatial measurements of apparent soil electrical conductivity (ECa). We present a
modeling approach that allows calibrating the ECa-ECe relationship across the same
geographical region. The calibration, which is essentially an analysis of covariance
(ANOCOVA) between ECa and ECe, can be extrapolated spatially and temporally to other
fields in the same region by employing as few as three additional soil cores per new
field/timing. Two case studies for California are presented showing how the ANOCOVA
calibration approach can be used in a spatiotemporal framework to map and monitor soil
salinity. For the spatial framework, we show an ANOCOVA calibration and (spatially
unbiased) cross validation over a regional-scale database from 22 fields where ECa and ECe
were measured at 267 locations. For the temporal framework, we show a temporal
ANOCOVA calibration and (temporally unbiased) cross validation using data from a
long-term (1999-2012) monitoring study at a 32.4-ha saline field where ECa and ECe were
monitored over time at the same 40 locations. Our results suggest that this approach is
reliable at low salinity values (i.e., where common crops can grow). The ANOCOVA
approach is a significant step towards enabling the routine use of ECa mobile sensor
technology for inexpensive soil salinity monitoring at high spatial and temporal resolutions. |
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