Spatio-temporal prediction of soil moisture using soil maps, topographic indices and NASA Earthdata Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.5281/zenodo.5702454
The work presented looks at methods to model field measured spatio-temporal variations of soil moisture content (SMC, [%vol]) – a crucial factor for soil strength and thus trafficability. We incorporated large-scaled maps of soil characteristics, high-resolution topographic information - depth-to-water (DTW) and topographic wetness index - and openly available temporal soil moisture data provided by the NASA Soil Moisture Active Passive mission. Time-series measurements of SMC were captured at six study sites across Europe. This data was then used to develop linear models, a generalized additive model, and the machine learning algorithms Random Forest (RF) and eXtreme Gradient Boosting (XGB). The models were trained on a randomly selected 10% subset of the dataset.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.5702454
- OA Status
- green
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4225727756Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.5702454Digital Object Identifier
- Title
-
Spatio-temporal prediction of soil moisture using soil maps, topographic indices and NASA EarthdataWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-11-13Full publication date if available
- Authors
-
Marian Schönauer, Robert Prinz, Kari Väätäinen, Rasmus Astrup, Dariusz Pszenny, Harri Lindeman, Dirk JaegerList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.5702454Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.5702454Direct OA link when available
- Concepts
-
Environmental science, Water content, Soil science, Remote sensing, Hydrology (agriculture), Geology, Geotechnical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2022: 2, 2021: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile |