Modelling and mapping some soil surface properties of Central Kelkit Basin in Turkey by using Landsat-7 ETM+ images

Using remote sensing and geographical information system (GIS) tools, we investigated relationships among Landsat-7 Enhanced Thematic Mapper Plus (Landsat-7 ETM+) satellite bands and some soil surface variables of Central Kelkit Basin in Turkey. We collected 164 geo-referenced surface soil samples (...

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Bibliographic Details
Published in:International journal of remote sensing 2013, Vol.34 (15), p.5623-5640
Main Authors: Dogan, Hakan Mete, Kılıç, Orhan Mete
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Applied geophysics
Bands
Biological and medical sciences
Calcium carbonate
clay
Earth sciences
Earth, ocean, space
electrical conductivity
Exact sciences and technology
exchangeable potassium
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Geographic information systems
Internal geophysics
linear models
Mathematical models
nitrogen
nitrogen content
organic matter
phosphorus
regression analysis
remote sensing
Sand
Satellite navigation systems
silt
soil
Soil (material)
soil sampling
Teledetection and vegetation maps
texture
Turkey
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Summary:Using remote sensing and geographical information system (GIS) tools, we investigated relationships among Landsat-7 Enhanced Thematic Mapper Plus (Landsat-7 ETM+) satellite bands and some soil surface variables of Central Kelkit Basin in Turkey. We collected 164 geo-referenced surface soil samples (0–20 cm) from field studies in 2008 and analysed the data to determine soil variables such as calcium carbonate (CaCO₃), pH, electrical conductivity (EC), organic matter (OM), nitrogen (N), phosphorus (P), exchangeable potassium (EK), and texture (clay, silt, and sand). Utilizing geographic references and determined soil variables, we established a point database in GIS to overlay and extract corresponding digital number (DN) values of Landsat-7 ETM+ bands. We studied possible relationships between the soil variables and the bands' DN values by using correlation (Pearson) analysis. We found that four soil variables including pH, OM, CaCO₃, and N have significant correlations with band 5 (short wave infrared) DN values. We conducted linear regression analysis to develop models for these four variables. Residual statistics and plots showed that the developed models were robust. After running the models in GIS, we mapped pH, CaCO₃, OM, and N contents of the basin.
ISSN:1366-5901
0143-1161
1366-5901
DOI:10.1080/01431161.2013.796097