4 datasets found
  1. pair wise comparison matrix of selected parameters.

    • plos.figshare.com
    xls
    Updated Jun 12, 2025
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    Bacha Gebissa Negeri; Bai Xiuguang; Mitiku Badasa Moisa (2025). pair wise comparison matrix of selected parameters. [Dataset]. http://doi.org/10.1371/journal.pone.0324540.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bacha Gebissa Negeri; Bai Xiuguang; Mitiku Badasa Moisa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    pair wise comparison matrix of selected parameters.

  2. LULC classes of study area.

    • figshare.com
    xls
    Updated Jun 12, 2025
    + more versions
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    Bacha Gebissa Negeri; Bai Xiuguang; Mitiku Badasa Moisa (2025). LULC classes of study area. [Dataset]. http://doi.org/10.1371/journal.pone.0324540.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bacha Gebissa Negeri; Bai Xiuguang; Mitiku Badasa Moisa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Wheat production in Ethiopia is vital for improving food security, boosting the national economy, and achieving self-sufficiency in food consumption. The present study aims to assess the potential land suitability for rainfed wheat (Triticum aestivum L.) production by using Geographic Information System and multi criteria decision analysis in southwestern parts of Ethiopia. Biophysical data, including land use and land cover (LULC), soil drainage, soil texture, soil depth, proximity to markets and roads, land surface temperature, slope, rainfall, and elevation, were used. In addition, different software tools, such as ArcGIS 10.3, ERDAS Imagine 2015, IDRISI Selva 17, and ArcSWAT were applied. The results revealed that approximately 177.1 km² (1.3%) of the study area was classified as highly suitable, 5375.2 km² (38.2%) as moderately suitable, 7,246.0 km² (51.5%) as marginally suitable, and 1235.1 km² (8.8%) as currently not suitable for rainfed wheat cultivation. Furthermore, out of the 23 districts analyzed, Sayo Nole and Bedelle Zuriya were identified as highly suitable for wheat production, with an area of 32.7km2 and 23.3km2 respectively. Therefore, the study recommends that future study research investigate additional other ecological parameters, such as soil PH, lime, gypsum, salinity, alkalinity and socio-economic data, which were not included in the present study.

  3. f

    Suitability classes and area coverage for wheat crop production.

    • plos.figshare.com
    xls
    Updated Jun 12, 2025
    + more versions
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    Bacha Gebissa Negeri; Bai Xiuguang; Mitiku Badasa Moisa (2025). Suitability classes and area coverage for wheat crop production. [Dataset]. http://doi.org/10.1371/journal.pone.0324540.t008
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Bacha Gebissa Negeri; Bai Xiuguang; Mitiku Badasa Moisa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Suitability classes and area coverage for wheat crop production.

  4. f

    Data from: An independent and combined effect analysis of land use and...

    • figshare.com
    png
    Updated May 30, 2023
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    Kazi Rahman; Ana Gago-Silva; Enrique Moran Tejeda; Andreas Gobiet; Martin Beniston; Anthony Lehmann (2023). An independent and combined effect analysis of land use and climate change in the upper Rhone River watershed, Switzerland. [Dataset]. http://doi.org/10.6084/m9.figshare.4834319.v1
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    pngAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    figshare
    Authors
    Kazi Rahman; Ana Gago-Silva; Enrique Moran Tejeda; Andreas Gobiet; Martin Beniston; Anthony Lehmann
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Switzerland, Rhône
    Description

    Land use maps created with Idrisi TAIGA land change modeler.

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Bacha Gebissa Negeri; Bai Xiuguang; Mitiku Badasa Moisa (2025). pair wise comparison matrix of selected parameters. [Dataset]. http://doi.org/10.1371/journal.pone.0324540.t003
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pair wise comparison matrix of selected parameters.

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xlsAvailable download formats
Dataset updated
Jun 12, 2025
Dataset provided by
PLOShttp://plos.org/
Authors
Bacha Gebissa Negeri; Bai Xiuguang; Mitiku Badasa Moisa
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

pair wise comparison matrix of selected parameters.

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