Articles | Volume 13, issue 1
https://doi.org/10.5194/essd-13-83-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-83-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
20 Jan 2021
Data description paper |
| 20 Jan 2021
| 20 Jan 2021
EstSoil-EH: a high-resolution eco-hydrological modelling parameters dataset for Estonia
Department of Geography, Institute of Ecology and Earth Sciences,
University of Tartu, Vanemuise 46, Tartu, 51003, Estonia
Arno Kanal
Department of Geography, Institute of Ecology and Earth Sciences,
University of Tartu, Vanemuise 46, Tartu, 51003, Estonia
deceased, 7 May 2019
Alar Astover
Chair of Soil Science, Institute of Agricultural and Environmental
Sciences, Estonian University of Life Sciences, Fr.R. Kreutzwaldi 5, Tartu,
51014, Estonia
Department of Geography, Institute of Ecology and Earth Sciences,
University of Tartu, Vanemuise 46, Tartu, 51003, Estonia
Holger Virro
Department of Geography, Institute of Ecology and Earth Sciences,
University of Tartu, Vanemuise 46, Tartu, 51003, Estonia
Aveliina Helm
Department of Botany, Institute of Ecology and Earth Sciences,
University of Tartu, Lai 40, Tartu, 51005, Estonia
Meelis Pärtel
Department of Botany, Institute of Ecology and Earth Sciences,
University of Tartu, Lai 40, Tartu, 51005, Estonia
Ivika Ostonen
Department of Geography, Institute of Ecology and Earth Sciences,
University of Tartu, Vanemuise 46, Tartu, 51003, Estonia
Evelyn Uuemaa
Department of Geography, Institute of Ecology and Earth Sciences,
University of Tartu, Vanemuise 46, Tartu, 51003, Estonia
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Cited
19 citations as recorded by crossref.
- How does national SOC monitoring on agricultural soils align with the EU strategies? An example using five case studies K. Meurer et al. 10.1111/ejss.13477
- The Effect of Spatial Input Data Quality on the Performance of the SWAT Model A. Kmoch et al. 10.3390/w14131988
- A simulation model of functional habitat connectivity demonstrates the importance of species establishment in older forests M. Jõks et al. 10.1016/j.ecolmodel.2023.110361
- Modeling Topsoil Phosphorus—From Observation-Based Statistical Approach to Land-Use and Soil-Based High-Resolution Mapping A. Kull et al. 10.3390/agronomy13051183
- Comparing contemporaneous hunter-gatherer and early agrarian settlement systems with spatial point process models: Case study of the Estonian Stone Age K. Sikk et al. 10.1016/j.jasrep.2021.103330
- Application of satellite and reanalysis precipitation products for hydrological modeling in the data-scarce Porijõgi catchment, Estonia D. Moges et al. 10.1016/j.ejrh.2022.101070
- Nordic hydrological frontier in the 21st century H. Marttila et al. 10.2166/nh.2022.120
- Modeling hydraulic heads with impulse response functions in different environmental settings of the Baltic countries M. Jemeļjanova et al. 10.1016/j.ejrh.2023.101416
- Research on the Uncertainty of Landslide Susceptibility Prediction Using Various Data-Driven Models and Attribute Interval Division Y. Xing et al. 10.3390/rs15082149
- Climate change water management planning based on hydrological models X. Xu 10.3233/JIFS-233939
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- SooSim, a landscape model for assessing mire habitat degradation and restoration A. Lõhmus et al. 10.1016/j.ecoinf.2024.102844
- Spatial autocorrelation in machine learning for modelling soil organic carbon A. Kmoch et al. 10.1016/j.ecoinf.2025.103057
- Random forest-based modeling of stream nutrients at national level in a data-scarce region H. Virro et al. 10.1016/j.scitotenv.2022.156613
- How does the choice of DEMs affect catchment hydrological modeling? D. Moges et al. 10.1016/j.scitotenv.2023.164627
- PERL: a dataset of geotechnical, geophysical, and hydrogeological parameters for earthquake-induced hazards assessment in Terre del Reno (Emilia-Romagna, Italy) C. Varone et al. 10.5194/nhess-23-1371-2023
- Unveiling the hydrological response of NO3-rich springs to seasonal snowmelt in a karstic carbonate upland J. Pärn et al. 10.1016/j.jhydrol.2024.131724
- Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics M. Lang et al. 10.2478/fsmu-2024-0001
- EstSoil-EH: a high-resolution eco-hydrological modelling parameters dataset for Estonia A. Kmoch et al. 10.5194/essd-13-83-2021
18 citations as recorded by crossref.
- How does national SOC monitoring on agricultural soils align with the EU strategies? An example using five case studies K. Meurer et al. 10.1111/ejss.13477
- The Effect of Spatial Input Data Quality on the Performance of the SWAT Model A. Kmoch et al. 10.3390/w14131988
- A simulation model of functional habitat connectivity demonstrates the importance of species establishment in older forests M. Jõks et al. 10.1016/j.ecolmodel.2023.110361
- Modeling Topsoil Phosphorus—From Observation-Based Statistical Approach to Land-Use and Soil-Based High-Resolution Mapping A. Kull et al. 10.3390/agronomy13051183
- Comparing contemporaneous hunter-gatherer and early agrarian settlement systems with spatial point process models: Case study of the Estonian Stone Age K. Sikk et al. 10.1016/j.jasrep.2021.103330
- Application of satellite and reanalysis precipitation products for hydrological modeling in the data-scarce Porijõgi catchment, Estonia D. Moges et al. 10.1016/j.ejrh.2022.101070
- Nordic hydrological frontier in the 21st century H. Marttila et al. 10.2166/nh.2022.120
- Modeling hydraulic heads with impulse response functions in different environmental settings of the Baltic countries M. Jemeļjanova et al. 10.1016/j.ejrh.2023.101416
- Research on the Uncertainty of Landslide Susceptibility Prediction Using Various Data-Driven Models and Attribute Interval Division Y. Xing et al. 10.3390/rs15082149
- Climate change water management planning based on hydrological models X. Xu 10.3233/JIFS-233939
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- SooSim, a landscape model for assessing mire habitat degradation and restoration A. Lõhmus et al. 10.1016/j.ecoinf.2024.102844
- Spatial autocorrelation in machine learning for modelling soil organic carbon A. Kmoch et al. 10.1016/j.ecoinf.2025.103057
- Random forest-based modeling of stream nutrients at national level in a data-scarce region H. Virro et al. 10.1016/j.scitotenv.2022.156613
- How does the choice of DEMs affect catchment hydrological modeling? D. Moges et al. 10.1016/j.scitotenv.2023.164627
- PERL: a dataset of geotechnical, geophysical, and hydrogeological parameters for earthquake-induced hazards assessment in Terre del Reno (Emilia-Romagna, Italy) C. Varone et al. 10.5194/nhess-23-1371-2023
- Unveiling the hydrological response of NO3-rich springs to seasonal snowmelt in a karstic carbonate upland J. Pärn et al. 10.1016/j.jhydrol.2024.131724
- Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics M. Lang et al. 10.2478/fsmu-2024-0001
1 citations as recorded by crossref.
Latest update: 23 Apr 2025
Short summary
The Soil Map of Estonia is the most detailed and information-rich dataset for soils in Estonia. But its information is not immediately usable for analyses or modelling. We derived parameters including soil layering, soil texture (clay, silt, and sand content), coarse fragments, and rock content and aggregated and predicted physical variables related to water and carbon cycles (bulk density, hydraulic conductivity, organic carbon content, available water capacity).
The Soil Map of Estonia is the most detailed and information-rich dataset for soils in Estonia....
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