Land Suitability Assessment by Combining Classification Results by Climate and Soil Information Using the Most Limiting Characteristic Method in the Republic of Korea
2016
Kim, H., National Institute of Agricultural Sciences, RDA, Wanju, Republic of Korea | Shim, K., National Institute of Agricultural Sciences, RDA, Wanju, Republic of Korea | Hyun, B., National Institute of Agricultural Sciences, RDA, Wanju, Republic of Korea
Land suitability assessment for apples and pears was conducted with soil and climate information in South Korea. In doing so, we intended to preserve land and increase the productivity by providing valuable information regarding where more suitable areas for apples or pears are located. We used soil classification driven by soil environmental information system developed by National Institute of Agricultural Science, RDA, and also used climate classification in digital agro-climate map database for which is made by National Institute of Horticultural and Herbal Science. We combined both soil and climate classification results using a most-limiting characteristic method. The combined results showed very similar patterns with the results by classification based on soil information. Such results seem to come from the fact that the classification results by soil relatively lower than those by climate information. The results by soil classification seem to be too downgraded and checking if the final classification ranges in soil are reasonably made is strongly required. Although the most limiting characteristic method had been used widely in land suitability assessment, adapting the method based on results by soil and climate can be influenced by one downgraded factor. Therefore, alternative ways should be carefully considered for increasing the accuracy.
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