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Oklahoma Soil Moisture Predictions


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Resource type: Composite Resource
Storage: The size of this resource is 9.7 MB
Created: Feb 07, 2020 at 3:12 p.m.
Last updated: Feb 07, 2020 at 6:22 p.m.
DOI: 10.4211/hs.f0091cf90bcc4487bf401ca19783d1eb
Citation: See how to cite this resource
Content types: Geographic Raster Content 
Sharing Status: Published
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Abstract

Monthly soil moisture predictions over a region of interest centered on Oklahoma and surrounded areas from January 2000 to September 2012. Data were acquired from the European Space Agency Climate Change Initiative soil moisture product version 4.5, 0.25-degrees spatial resolution. The modeled product aims to fill soil moisture spatial gaps from the original product over the region of Interest. Soil moisture values were calculated based on three methods, e.g. Ordinary Kriging, Regression Kriging and Generalized Linear Model. Reference monthly soil moisture layers were generated based on daily soil moisture estimates over each 0.25-degrees pixel in the region of interest. Three different sampling approaches were considered to model soil moisture estimates, using 100% of available data from the original satellite data, 75% and 50% of available soil moisture estimates respectively. Data were randomly removed to simulate different scenarios of gap presence in the original ESA CCI product. Soil Moisture values were validated by means of 10-fold cross validation and ground-truth validation with records from the North American Soil Moisture Data Base. Detailed methods and code cab be found in: Llamas, R.M; Guevara, Mario; Rorabaugh, Danny; Taufer, Michela; Vargas, Rodrigo. "Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture based on Geostatistical Techniques and Multiple Regression", Remote Sensing (accepted)

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
37.7500°
East Longitude
-93.7500°
South Latitude
33.0000°
West Longitude
-103.7500°

Content

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Related Resources

The content of this resource serves as the data for: Llamas, R.M; Guevara, Mario; Rorabaugh, Danny; Taufer, Michela; Vargas, Rodrigo. "Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture based on Geostatistical Techniques and Multiple Regression", Remote Sensing (accepted)

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation OAC grant 1724843

How to Cite

Llamas, R., M. Guevara, D. Rorabaugh, M. Taufer, R. Vargas (2020). Oklahoma Soil Moisture Predictions, HydroShare, https://doi.org/10.4211/hs.f0091cf90bcc4487bf401ca19783d1eb

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

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

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