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Soil-Landscape Estimation and Evaluation Program (SLEEP) to predict spatial distribution of soil attributes for environmental modeling

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Title Soil-Landscape Estimation and Evaluation Program (SLEEP) to predict spatial distribution of soil attributes for environmental modeling
 
Creator Ziadat, Feras M.
 
Contributor Dhanesh, Yeganantham
Shoemate, David
Srinivasan, Raghavan
Narasimhan, Balaji
Tech, Jaclyn
 
Subject terrain analyses
inverse distance weighted
swat
 
Description The spatial distribution of surface and subsurface soil attributes is an important input to environmental modeling.
Soil attributes represent an important input to the Soil and Water Assessment Tool (SWAT), which influence the accuracy of
the modeling outputs. An ArcGIS-based tool was developed to predict soil attributes and provide inputs to SWAT. The
essential inputs are digital elevation model and field observations. Legacy soil data/maps can be used to derive observations
when recent field surveys are not available. Additional layers, such as satellite images and auxiliary data, improve the
prediction accuracy. The model contains a series of steps (menus) to facilitate iterative analysis. The steps are summarized
in deriving many terrain attributes to characterize each pixel based on local attributes as well as the characteristics of the
contributing area. The model then subdivides the entire watershed into smaller facets (subdivisions of subwatersheds) and
classifies these into groups. A linear regression model to predict soil attributes from terrain attributes and auxiliary data are
established for each class and implemented to predict soil attributes for each pixel within the class and then merged for the
entire watershed or study area. SLEEP (Soil–Landscape Estimation and Evaluation Program) utilizes Pedo-transfer functions
to provide the spatial distribution of the necessary unmapped soil data needed for SWAT prediction. An application of the
tool demonstrated acceptable accuracy and better spatial distribution of soil attributes compared with two spatial interpolation
techniques. The analysis indicated low sensitivity of SWAT prediction to the number of field observations when SLEEP is
used to provide the soil layer. This demonstrates the potential of SLEEP to support SWAT modeling where soil data is scarce.
 
Date 2015-03-17
2016-04-24T09:36:29Z
2016-04-24T09:36:29Z
 
Type Journal Article
 
Identifier https://ijabe.org/index.php/ijabe/issue/view/48
https://mel.cgiar.org/reporting/download/hash/ZeFv23ZE
Feras M. Ziadat, Yeganantham Dhanesh, David Shoemate, Raghavan Srinivasan, Balaji Narasimhan, Jaclyn Tech. (17/3/2015). Soil-Landscape Estimation and Evaluation Program (SLEEP) to predict spatial distribution of soil attributes for environmental modeling. International Journal of Agricultural and Biological Engineering, 8 (3), pp. 158-172.
https://hdl.handle.net/20.500.11766/4660
Open access
 
Language en
 
Rights CC-BY-4.0
 
Format PDF
 
Publisher Chinese Society of Agricultural Engineering
 
Source International Journal of Agricultural and Biological Engineering;8,(2015) Pagination 158-172