Digital Soil Mapping in the Absence of Field Training Data : A Case Study Using Terrain Attributes and Semiautomated Soil Signature Derivation to Distinguish Ecological Potential
Joint Authors
Duniway, Michael C.
Browning, Dawn M.
Source
Applied and Environmental Soil Science
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-05-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Earth Science , Water and Environment
Abstract EN
Spatially explicit data for soil properties governing plant water availability are needed to understand mechanisms influencing plant species distributions and predict plant responses to changing climate.
This is especially important for arid and semiarid regions.
Spatial data representing surrogates for soil forming factors are becoming widely available (e.g., spectral and terrain layers).
However, field-based training data remain a limiting factor, particularly across remote and extensive drylands.
We present a method to map soils with Landsat ETM+ imagery and high-resolution (5 m) terrain (IFSAR) data based on statistical properties of the input data layers that do not rely on field training data.
We then characterize soil classes mapped using this semiautomated technique.
The method distinguished spectrally distinct soil classes that differed in subsurface rather than surface properties.
Field evaluations of the soil classification in conjunction with analysis of long-term vegetation dynamics indicate the approach was successful in mapping areas with similar soil properties and ecological potential.
American Psychological Association (APA)
Browning, Dawn M.& Duniway, Michael C.. 2011. Digital Soil Mapping in the Absence of Field Training Data : A Case Study Using Terrain Attributes and Semiautomated Soil Signature Derivation to Distinguish Ecological Potential. Applied and Environmental Soil Science،Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-470968
Modern Language Association (MLA)
Browning, Dawn M.& Duniway, Michael C.. Digital Soil Mapping in the Absence of Field Training Data : A Case Study Using Terrain Attributes and Semiautomated Soil Signature Derivation to Distinguish Ecological Potential. Applied and Environmental Soil Science No. 2011 (2011), pp.1-12.
https://search.emarefa.net/detail/BIM-470968
American Medical Association (AMA)
Browning, Dawn M.& Duniway, Michael C.. Digital Soil Mapping in the Absence of Field Training Data : A Case Study Using Terrain Attributes and Semiautomated Soil Signature Derivation to Distinguish Ecological Potential. Applied and Environmental Soil Science. 2011. Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-470968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470968