Masayasu Maki, Supranee Sritumboon, Mallika Srisutham, Koshi Yoshida, Koki Homma, Somsak Sukchan
Received 2022/02/09, Accepted 2022/03/29, Published 2022/05/24

Masayasu Maki¹⁾, Supranee Sritumboon²⁾, Mallika Srisutham³⁾, Koshi Yoshida⁴⁾, Koki Homma⁵⁾, Somsak Sukchan⁶⁾

1) Faculty of Food and Agricultural Sciences, Fukushima University, Japan
2) Land Development Department Regional Office 5, Land Development Department, Thailand
3) Faculty of Agriculture, Khon Kaen University, Thailand
4) Graduate School of Frontier Sciences, The University of Tokyo, Japan
5) Graduate School of Agricultural Sciences, Tohoku University, Japan
6) Division of Land Use Planning and Policy, Land Development Department, Thailand

Although rice is a major agricultural product in northeast Thailand, its productivity is low and unstable because rice is cultivated under rainfed conditions and there are issues with soil salinization. In this region, some of the paddy fields have been abandoned because of severe soil salinization. Therefore, effective agricultural management strategies are needed to manage soil salinization for achieving stable agricultural production. To realize effective management strategies, it is necessary to understand the spatiotemporal distribution of soil salinization. To evaluate and update the spatiotemporal soil salinization using remote sensing data, we first evaluate the relationship between soil electrical conductivity (ECe) and soil moisture content (SMC) during dry seasons. Subsequently, the effect of changes in this relationship on the normalized difference salinity index (NDSI) derived from remote sensing data for estimating soil ECe is evaluated. The relationship between ECe and NDSI, depending on the soil moisture conditions in the study area, is clarified. The findings of this study indicate that for estimating ECe using the NDSI, it is necessary to consider not only soil moisture conditions but also its quality at the time of satellite observation.

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