Annual soil moisture predictions across conterminous United States using remote sensing and terrain analysis across 1 km grids (1991-2016)

A newer version of this resource http://www.hydroshare.org/resource/fb83dc83bdd0452782d622dfb38e67f2 is available that replaces this version.
Authors:
Mario GuevaraRodrigo Vargas
Owners: Mario GuevaraRodrigo Vargas
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Type: Resource
Storage: The size of this resource is 2.7 GB
Created: Jun 20, 2019 at 4:01 p.m.
Last updated: Mar 23, 2020 at 11:16 p.m. (Metadata update)
Published date: Aug 10, 2019 at 2:03 p.m.
DOI: 10.4211/hs.b8f6eae9d89241cf8b5904033460af61
Citation: See how to cite this resource
Content types: File Set Content  Single File Content  Geographic Raster Content 
Sharing Status: Published
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Abstract

We provide 26 annual soil moisture predictions across conterminous United States for the years 1991-2016. These predictions are provided in raster files with a geographical (lat, long) projection system and a spatial resolution of 1 x 1 km grids (folder: soil_moisture_annual_grids_1991_2016). These raster files were populated with soil moisture data based on multiple kernel based machine learning models for coupling hydrologically meaningful terrain parameters (the explanatory variables) with soil moisture microwave records (the response variable) from the European Space Agency Climate Change Initiative. We provide a raster stack with the annual training data from satellite soil moisture estimates (file: annual_means_of _ESA_CCI_soil_moiture_1991_2016.tif) and the explanatory variables (terrain) calculated on SAGA GIS (System of Automated Geoscientific Analysis) using digital terrain analysis (folder: explanatory_variables_dem). The explained variance for all models-years was >70% (10-fold cross-validation). The 1 km soil moisture grids (compared to the original satellite soil moisture estimates) had higher correlations with field soil moisture observations from the North American Soil Moisture Database (n=668 locations with available data between 1991-2013; 0-5 cm depth) than soil moisture microwave records. For further information refer to our preprint in bioRxiv: https://www.biorxiv.org/content/biorxiv/early/2019/07/01/688846.full.pdf

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
52.6083°
East Longitude
-59.6667°
South Latitude
24.3333°
West Longitude
-130.2333°

Temporal

Start Date: 01/01/1991
End Date: 01/01/2016
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-b8f6eae9d89241cf8b5904033460af61/wms?request=GetCapabilities

Web Coverage Service

https://geoserver.hydroshare.org/geoserver/HS-b8f6eae9d89241cf8b5904033460af61/wcs?request=GetCapabilities

Related Resources

The content of this resource is derived from For soil moisture: https://www.esa-soilmoisture-cci.org/node/137
The content of this resource is derived from For terrain parameters: http://www.saga-gis.org/
The content of this resource is derived from The source DEM: https://topex.ucsd.edu/sandwell/publications/124_MG_Becker.pdf
The content of this resource is derived from For statistical computing: https://www.r-project.org/
The content of this resource is derived from Plos ONE paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0219639
This resource has been replaced by a newer version Guevara, M., R. Vargas (2020). Annual soil moisture predictions across conterminous United States using remote sensing and terrain analysis across 1 km grids (1991-2016), HydroShare, http://www.hydroshare.org/resource/fb83dc83bdd0452782d622dfb38e67f2

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation CIF21 DIBBs: PD: Cyberinfrastructure Tools for Precision Agriculture in the 21st Century 1724847
Mexican National Council for Science and Technology (CONACyT) PhD Fellowship 382790

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Michela Taufer University of Tennessee Min H. Kao Building, Room 620 1520 Middle Drive Knoxville, TN 37996-2250 865-974-9952 GoogleScholarID

How to Cite

Guevara, M., R. Vargas (2019). Annual soil moisture predictions across conterminous United States using remote sensing and terrain analysis across 1 km grids (1991-2016), HydroShare, https://doi.org/10.4211/hs.b8f6eae9d89241cf8b5904033460af61

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

Mario Guevara 5 years, 1 month ago

PEER REVIEWED PUBLICATION OF THIS RESOURCE AVAILABLE AT PLOS ONE:
https://journals.plos.org/plosone/article/metrics?id=10.1371/journal.pone.0219639

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