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Analysis of the Drought Mitigated Mechanism in Terraced Paddy Fields Using CWSI and TVDI Indices and Hydrological Monitoring

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  • Atiqotun Fitriyah

    (United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology, 3-5-8 Saiwaicho, Fuchu, Tokyo 183-8509, Japan)

  • Alvin Fatikhunnada

    (Department of Mechanical and Biosystem Engineering, Faculty of Agricultural Engineering and Technology, IPB University, Bogor 16680, Indonesia)

  • Fumi Okura

    (United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology, 3-5-8 Saiwaicho, Fuchu, Tokyo 183-8509, Japan)

  • Bayu Dwi Apri Nugroho

    (Department of Agricultural and Biosystem Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia)

  • Tasuku Kato

    (Institute of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwaicho, Fuchu, Tokyo 183-8538, Japan)

Abstract

Food security is often threatened by droughts during rice production. Although most of the rice is produced in lowland or irrigated “wet” rice fields, terraced paddy fields are important in the rice production system in island or mountainous countries. With the intensifying frequency of El Niño periods in recent decades, there has been a risk of droughts in terraced paddy areas. To mitigate drought, remote sensing data analysis could be an efficient and reliable tool for obtaining scarce ground monitoring data. In this study, crop water stress index (CWSI) and temperature vegetation dryness index (TVDI) were applied to evaluate the drought intensity, and hydrological monitoring data was provided as a support for the evaluation. The results indicated that droughts normally occurred during the dry season, and intensified during El Niño periods. CWSI and TVDI were visible to predict drought occurrences in the watershed area. TVDI overestimated the drought inside Keduang watershed compared to CWSI because of the complex condition of the terraced paddy area, including the hydrology in this area. The complex topography, high groundwater table, and continuous plot-to-plot irrigation helped to maintain the water availability and mitigated the drought impact for rice production in the studied terraced paddy field.

Suggested Citation

  • Atiqotun Fitriyah & Alvin Fatikhunnada & Fumi Okura & Bayu Dwi Apri Nugroho & Tasuku Kato, 2019. "Analysis of the Drought Mitigated Mechanism in Terraced Paddy Fields Using CWSI and TVDI Indices and Hydrological Monitoring," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:6897-:d:294112
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    References listed on IDEAS

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    1. Pou, Alícia & Diago, Maria P. & Medrano, Hipólito & Baluja, Javier & Tardaguila, Javier, 2014. "Validation of thermal indices for water status identification in grapevine," Agricultural Water Management, Elsevier, vol. 134(C), pages 60-72.
    2. Thenkabail, Prasad Srinivas & Gamage, M. S. D. Nilantha & Smakhtin, Vladimir U., 2004. "The use of remote sensing data for drought assessment and monitoring in southwest Asia," IWMI Research Reports H035615, International Water Management Institute.
    3. Serraj, R. & Bennett, John & Hardy, B. (ed.), 2008. "Drought Frontiers in Rice: Crop Improvement for Increased Rainfed Production," IRRI Books, International Rice Research Institute (IRRI), number 164418.
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