Publication: The Use of geoinformatics for estimating soil organic
5
1
Issued Date
2014-06
Resource Type
Language
eng
ISSN
2010-0264
Rights
Mahidol University
Rights Holder(s)
Faculty of Environment and Resource Studies, Mahidol University
Bibliographic Citation
International Journal of Environmental Science and Development. Vol. 5, No.3 (2014), 282-285.
Suggested Citation
Prapeut Kerdsueb, Piyakarn Teartisup, ประพฤติ เกิดสืบ, ปิยะกาญจน์ เที้ยธิทรัพย์ The Use of geoinformatics for estimating soil organic. International Journal of Environmental Science and Development. Vol. 5, No.3 (2014), 282-285.. doi:10.7763/IJESD.2014.V5.492 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/48404
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
The Use of geoinformatics for estimating soil organic
Other Contributor(s)
Abstract
LANDSAT TM 5; band 1-3-4 was used to predict
soil organic matter contents in central plain of Thailand:
Nakhon Pathom province as a representative area. There were
135 plots from several agricultural land use; paddy fields,
sugarcane and fruit orchard. Y=3.926+0.0176 X1-0.0117
X3+0.0476 X4 (R2=0.357) was the result from the interpolation
method at RMSE=0.95. The soil organic matter map was build
up via Geoinformatics techniques with additional data sources.
These techniques include organic matter models and qualitative
methods. Finally, validation methods used to assess the
accuracy of maps produced with image data are discussed. It is
concluded that a general lack of validation data is a main
concern. Validation is of utmost importance to achieve regional
operational monitoring systems, and close collaboration
between the image data and field-based soil scientists is
therefore required.