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Land suitability assessment for cassava production in Indonesia using GIS, remote sensing and multi-criteria analysis

Author

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  • Riska Ayu Purnamasari

    (University of Tsukuba)

  • Tofael Ahamed

    (University of Tsukuba)

  • Ryozo Noguchi

    (University of Tsukuba)

Abstract

Sustainable land use is essential for increasing the production of cassava as a diversified crop for ensuring food security in Indonesia. Understanding spatial factors and criteria is required for locating suitable production areas to increase cassava production. In this study, a spatial model was developed to assess the suitability of land for supporting sustainable cassava production. The model was divided into three stages considering different criteria. First, satellite digital images were processed from Landsat-4 Thematic Mapper (TM), Landsat 8 Operational Land Imager (OLI), and Sentinel-2 satellites to create vector data layers and a normalized difference vegetation index (NDVI) database. Second, a spatial analysis was performed to identify highly suitable areas for cassava production using a geographical information system (GIS) and the multi-criteria analysis. Third, a sustainability evaluation was conducted based on land suitability information for a study period of 5 years. Land suitability assessment was performed to increase cassava production. We found that 43.11% (11094 ha) of the study area was highly suitable for cassava production, whereas 30.87% (8233 ha) was moderately suitable and 9.83% (2623 ha) was marginally suitable with incorporating AHP analysis. Moreover, 17.69% (4718 ha) of the land was occupied by residents and settlements. On the other hand, ANP analysis also conducted to confirm the AHP results. We have found approximate similar results with no significant differences in any of the suitability classes. This research recommends that the integrated approach of GIS-based multi-criteria can be extended with satellite remote sensing vegetation datasets to assess regional production and site-specific management of cassava crops.

Suggested Citation

  • Riska Ayu Purnamasari & Tofael Ahamed & Ryozo Noguchi, 2019. "Land suitability assessment for cassava production in Indonesia using GIS, remote sensing and multi-criteria analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 3(1), pages 1-32, February.
    • Handle: RePEc:spr:apjors:v:3:y:2019:i:1:d:10.1007_s41685-018-0079-z
    DOI: 10.1007/s41685-018-0079-z
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    References listed on IDEAS

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    1. Majid Ebrahimi & Hamid Nejadsoleymani & Mohammad Reza Mansouri Daneshvar, 2019. "Land suitability map and ecological carrying capacity for the recognition of touristic zones in the Kalat region, Iran: a multi-criteria analysis based on AHP and GIS," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 697-718, October.
    2. Irianto, Heru & Mujiyo & Qonita, A & Ningsih, H & Riptanti, EW, 2022. "Land suitability assessment for Jarak Towo cassava development (case studies in Tawangmangu and Ngargoyoso sub-districts, Karanganyar regency, Indonesia)," African Journal of Food, Agriculture, Nutrition and Development (AJFAND), African Journal of Food, Agriculture, Nutrition and Development (AJFAND), vol. 22(09).
    3. Billal Hossen & Helmut Yabar & Takeshi Mizunoya, 2021. "Land Suitability Assessment for Pulse (Green Gram) Production through Remote Sensing, GIS and Multicriteria Analysis in the Coastal Region of Bangladesh," Sustainability, MDPI, vol. 13(22), pages 1-24, November.
    4. Muhammad Ansori Nasution & Ayu Wulandari & Tofael Ahamed & Ryozo Noguchi, 2020. "Alternative POME Treatment Technology in the Implementation of Roundtable on Sustainable Palm Oil, Indonesian Sustainable Palm Oil (ISPO), and Malaysian Sustainable Palm Oil (MSPO) Standards Using LCA," Sustainability, MDPI, vol. 12(10), pages 1-16, May.

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