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| Titel |
The U.S. Salinity Laboratory (USDA-ARS) guidelines for assessing multi-scale soil salinity with proximal and remote sensing |
| 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 |
250146548
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| Publikation (Nr.) |
 EGU/EGU2017-10576.pdf |
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| Zusammenfassung |
| Soil salinity is a major threat to sustainable agriculture, especially in arid and semi-arid
regions. Updated and accurate inventories of salinity in agronomically and environmentally
relevant ranges (i.e., <20 dS/m, when salinity is measured as electrical conductivity of the
saturation extract, ECe) are essential for producers and decision-makers to assure long term
food production. Over the past three decades, scientists at the U.S. Salinity Laboratory
(USDA-ARS) in Riverside, CA have developed proximal sensor (i.e., electrical resistivity and
electromagnetic induction) and remote imagery (e.g., MODIS, Landsat, WorldView)
methodologies for assessing soil salinity at multiple scales: field (0.5 ha to 1 km2), landscape
(1 to 10 km2), and regional (10 to 105 km2) scales. The purpose of this contribution is
to provide an overview of these scale-dependent salinity assessment approaches.
Guidelines, special considerations, and strengths and limitations of each scale-specific
approach are presented for characterizing spatial and temporal variation in soil
salinity. To support the discussion, we present a regional scale dataset comprising
salinity surveys over 22 fields in California, USA. The dataset is used to provide
practical examples of field-, landscape-, and regional-scale soil salinity assessment. |
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