Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed
Joint Authors
Ziadat, Feras
Yitaferu, Birru
Kibret, Kibebew
Mehammednur Seid, Nurhussen
Source
Applied and Environmental Soil Science
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Earth Science , Water and Environment
Abstract EN
Information about the spatial distribution of soil properties is necessary for natural resources modeling; however, the cost of soil surveys limits the development of high-resolution soil maps.
The objective of this study was to provide an approach for predicting soil attributes.
Topographic attributes and the normalized difference vegetation index (NDVI) were used to provide information about the spatial distribution of soil properties using clustering and statistical techniques for the 56 km2 Gumara-Maksegnit watershed in Ethiopia.
Multiple linear regression models implemented within classified subwatersheds explained 6–85% of the variations in soil depth, texture, organic matter, bulk density, pH, total nitrogen, available phosphorous, and stone content.
The prediction model was favorably comparable with the interpolation using the inverse distance weighted algorithm.
The use of satellite images improved the prediction.
The soil depth prediction accuracy dropped gradually from 98% when 180 field observations were used to 65% using only 25 field observations.
Soil attributes were predicted with acceptable accuracy even with a low density of observations (1-2 observations/2 km2).
This is because the model utilizes topographic and satellite data to support the statistical prediction of soil properties between two observations.
Hence, the use of DEM and remote sensing with minimum field data provides an alternative source of spatially continuous soil attributes.
American Psychological Association (APA)
Mehammednur Seid, Nurhussen& Yitaferu, Birru& Kibret, Kibebew& Ziadat, Feras. 2013. Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed. Applied and Environmental Soil Science،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-498989
Modern Language Association (MLA)
Mehammednur Seid, Nurhussen…[et al.]. Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed. Applied and Environmental Soil Science No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-498989
American Medical Association (AMA)
Mehammednur Seid, Nurhussen& Yitaferu, Birru& Kibret, Kibebew& Ziadat, Feras. Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed. Applied and Environmental Soil Science. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-498989
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498989