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 X 1-0.0117 X 3+0.0476 X 4 (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.
Index Terms—Geoinformatics, soil organic matter, inverse distance weighted.
Prapeut Kerdsueb and Piyakarn Teartisup are with the Faculty of Environment and Natural Resource Studies, Mahidol University, Thailand (e-mail: email@example.com; firstname.lastname@example.org).
Cite:Prapeut Kerdsueb and Piyakarn Teartisup, "The Use of Geoinformatics for Estimating Soil Organic Matter in Central Plain of Thailand," International Journal of Environmental Science and Development vol. 5, no. 3, pp. 282-285, 2014.