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Land Cover Classification by Integrating NDVI Time Series and GIS Data to Evaluate Water Circulation in Aso Caldera, Japan

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  • Hiroki Amano

    (Liberal Arts Education Center, Kumamoto Campus, Tokai University, 9-1-1 Toroku, Higashi-ku, Kumamoto 862-8652, Japan)

  • Yoichiro Iwasaki

    (Department of Electrical Engineering and Computer Science, Faculty of Industrial and Welfare Engineering, Tokai University, 9-1-1 Toroku, Higashi-ku, Kumamoto 862-8652, Japan)

Abstract

Grasslands in Aso caldera, Japan, are a type of land cover that is integral for biodiversity, tourist attractions, agriculture, and groundwater recharge. However, the area of grasslands has been decreasing in recent years as a result of natural disasters and changes in social conditions surrounding agriculture. The question of whether the decrease in spring water discharge in Aso caldera is related to the decrease in grasslands remains unanswered. To clarify this relationship, a water circulation model that considers land covers with different hydrological features is needed. In this study, by integrating Normalized Difference Vegetation Index (NDVI) time series and Geographic Information System (GIS) data, we generated land cover maps from the past (in 1981 and 1991) to the present (in 2015 and 2016), before and after the 2016 Kumamoto earthquake, and then for the future (in the 2040s); these maps formed the dataset for building a water circulation model. The results show that the area of grasslands, which are reported to have a higher groundwater recharge rate than that of forests, in 2016 had decreased to 68% of the area in 1981 as a result of afforestation and transformation into forests, as well as landslides induced by the earthquake. The area of grasslands is predicted to further drop to 60% by the 2040s. On the other hand, the area of forests (conifers and hardwoods) in 2016 had increased by 119% relative to that in 1981 because of the transformation of grasslands into forests, although these areas decreased as a result of landslides due to the 2016 Kumamoto earthquake. Quantification of groundwater recharge from grasslands and forests using the land cover maps generated for 1981, 1996, 2015, and 2016 shows that the annual increase in precipitation in these years significantly affected groundwater recharge; these effects were greater than those associated with the type of land cover. Thus, the groundwater recharge increased, despite the decrease in grasslands. However, when constant precipitation was assumed, the groundwater recharge presented a decreasing trend, indicating the importance of maintaining and conserving grasslands from the viewpoint of groundwater conservation.

Suggested Citation

  • Hiroki Amano & Yoichiro Iwasaki, 2020. "Land Cover Classification by Integrating NDVI Time Series and GIS Data to Evaluate Water Circulation in Aso Caldera, Japan," IJERPH, MDPI, vol. 17(18), pages 1-18, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6605-:d:411883
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    References listed on IDEAS

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    1. Long Zhao & Pan Zhang & Xiaoyi Ma & Zhuokun Pan, 2017. "Land Cover Information Extraction Based on Daily NDVI Time Series and Multiclassifier Combination," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-13, December.
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    1. Lamya Ouali & Lahcen Kabiri & Mustapha Namous & Mohammed Hssaisoune & Kamal Abdelrahman & Mohammed S. Fnais & Hichame Kabiri & Mohammed El Hafyani & Hassane Oubaassine & Abdelkrim Arioua & Lhoussaine , 2023. "Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco," Sustainability, MDPI, vol. 15(5), pages 1-28, February.

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