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GIS Applications in Land Adaptability Mapping for Perennial Industrial Crops in Nghe An Province, Vietnam

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Advances in Geospatial Technology in Mining and Earth Sciences (GTER 2022)

Part of the book series: Environmental Science and Engineering ((ESE))

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Abstract

Perennial industrial crops such as coffee, rubber, pepper, etc., are a group of key crops with high economic value, contributing an important role in promoting the socio-economic development of localities. Geographic information systems (GIS) and the analytical hierarchy process (AHP) are used to develop land adaptation maps for the perennial industrial crops based on land assessment methodology of Food and Agriculture Organization of the United Nations (FAO). This research is conducted in Nghe An province because it has the largest area of agricultural land in Vietnam and has the potential to develop perennial industrial crops. Ten impact factors including soil type, elements of soil mechanic, soil layer thickness, elevation, slope, distance to river, annual average rainfall, annual average air temperature, annual mean maximum temperature, and annual mean minimum temperature are selected for natural adaptation assessment of the perennial industrial crops. The results derived from weighted identification using AHP method in GIS indicate that the impact factors related to soil such as soil type, elements of soil mechanic, and soil layer thickness have the highest impact on perennial industrial crops adaptation. Validation of the adaptation map is verified with the current land use map of Nghe An province using the receiver operating characteristic (ROC) curve that comparing the actual land use and adaptation zones. Results from this research can assist managers, planners, as well as local communities in making rational decisions for the most effective land use.

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References

  1. Ministry of Finance of the Socialist Republic of Vietnam. https://mof.gov.vn/webcenter/portal/btcen/pages_home

  2. World Bank and IPSARD: Transforming Vietnamese agriculture: gaining more from less. Hanoi, Vietnam (2016)

    Google Scholar 

  3. Sonneveld, M.P.W., et al.: Thirty years of systematic land evaluation in the Netherlands. Geoderma 156(3–4), 84–92 (2010)

    Article  ADS  Google Scholar 

  4. National Institute of Agricultural Planning and Projection: Agricutural production land evaluation instruction for land use planning at district level, in TCVN 8409:2012. Ministry of Science and Technology (2012)

    Google Scholar 

  5. FAO: A framework for land evaluation. FAO Soils Bull. 32 (1976). http://www.fao.org/docrep/t0715e/t0715e06.htm

  6. Trigoso, D.I., et al.: Land suitability analysis for potato crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS approach. Agronomy (MDPI). 10(12), 18 (2020)

    Google Scholar 

  7. Tadesse, M., Negese, A.: Land suitability evaluation for sorghum crop by using GIS and AHP techniques in Agamsa sub-watershed, Ethiopia. Cogent Food Agri. 6(1), 18 (2020)

    Google Scholar 

  8. Singha, C., Swain, K.C., Swain, S.K.: Best crop rotation selection with GIS-AHP technique using soil nutrient variability. Agriculture (MDPI). 10(6), 18 (2020)

    Google Scholar 

  9. Kahsay, A., et al.: Land suitability analysis for sorghum crop production in northern semi-arid Ethiopia: application of GIS-based fuzzy AHP approach. Cogent Food Agri. 4(1), 24 (2018)

    MathSciNet  Google Scholar 

  10. Yangouliba, I., Kwawuvi, D., Almoradie, A.: Suitable land assessment for rice crop in Burkina Faso using GIS, remote sensing and multi criteria analysis. J. Geographic Info. Syst. 12(6), 683–696 (2020)

    Google Scholar 

  11. Pham, M.P., et al.: Modelling for Hevea brasiliensis and Manihot esculenta plantations responses to climate change in Song Hinh District of Phu Yen province, Vietnam. In: E3S Web of Conferences (2021)

    Google Scholar 

  12. Akıncı, H., Özalp, A.Y., Turgut, B.: Agricultural land use suitability analysis using GIS and AHP technique. Comput. Electron. Agric. 97, 71–82 (2013)

    Article  Google Scholar 

  13. Baroudy, A.A.E.: Mapping and evaluating land suitability using a GIS-based model. CATENA 140, 96–104 (2016)

    Article  Google Scholar 

  14. Kazemi, H., Sadeghi, S., Akinci, H.: Developing a land evaluation model for faba bean cultivation using geographic information system and multi-criteria analysis (A case study: Gonbad-Kavous region, Iran). Ecol. Ind. 63, 37–47 (2016)

    Article  Google Scholar 

  15. Torrieri, F., Batà, A.: Spatial multi-criteria decision support system and strategic environmental assessment: a case study. Buildings (MDPI). 7(4) (2017)

    Google Scholar 

  16. Musakwa, W.: Identifying land suitable for agricultural land reform using GIS-MCDA in South Africa. Environ. Dev. Sustain. 20, 2281–2299 (2018)

    Article  Google Scholar 

  17. Saaty, T.L.: Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS Publications (1994)

    Google Scholar 

  18. Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)

    Google Scholar 

  19. Tran, T.V., et al.: Landslide susceptibility mapping for the Thao River catchment with high spatial resolution rainfall data. In: Proceedings of the 3rd International Conference on Sustainability in Civil Engineering. Springer (2021)

    Google Scholar 

  20. Tuyen, T.T.: Soil assessment for orange tree growth with the help of GIS and AHP. HNUE J. Sci. 63(10), 116–127 (2018)

    Google Scholar 

  21. Kha, N.D.: Integrating GIS and AHP in rubber tree adaptation assessment in Chon Thanh district, Binh Phuoc province, Bachelor thesis, Nong Lam University–Ho Chi Minh City, Ho Chi Minh City (2014)

    Google Scholar 

  22. Hao, N.H., Loan, N.T.: Application of AHP method and GIS to evaluate the suitability of some soil characteristics for ramie plant in Ngoc Lac District, Thanh Hoa province. J. Sci.—Hong Duc University 50, 21–29 (2020)

    ADS  Google Scholar 

  23. Trung, N.T., Tri, L.Q., Dinh, L.C.: GIS and AHP applications in land adaptation assessment for agricultural land use structure change in Kien Giang province. J. Sci.—Can Tho Univ. 53 (2018)

    Google Scholar 

  24. Luan, P.C., et al.: Application of GIS and analytical Hierarchy process in land suitability evaluation for dragon fruit: a case study of Bac Binh District, Binh Thuan Province. In: National Conference of GIS Application (2016)

    Google Scholar 

  25. Chau, L.M., Duc, T.T.: Using AHP and GIS techniques to evaluate suitable areas for rambutan growing by VietGAP standard in Long Khanh region, Dong Nai province. J. Vietnam Agri. Sci. Technol. 04(101), 87–93 (2019)

    Google Scholar 

  26. Cuong, N.H.: Integration of GIS and decision tree in land evaluation for coconut trees in Mo Cay Nam district, Ben Tre province. VNU J. Sci. Earth Environ. Sci. 34(1), 66–76 (2018)

    Google Scholar 

  27. Loi, N.V., Ngoc, T.K., Hung, P.D.: Application of GIS, AHP, and FAHP in assessing indigenous cinnamon species suitability in Tra Bong, Quang Ngai. Hue University J. Sci.: Agri. Rural Develop. 129(3D), 5–19 (2020)

    Google Scholar 

  28. Loi, N.K., Tuan. V.M.: Integration of GIS and AHP techniques for analyzing land use suitability in Di Linh district, upstream Dong Nai watershed, Vietnam. In: FORTROP II: Tropical Forestry Change in a Changing World. Kasetsart University, Bangkok, Thailand (2018)

    Google Scholar 

  29. Pham, M.P., et al.: Evaluation of land suitability for Cunninghamia konishii Hayata (Cupressaceae) planting in Vietnam. Geograp. Environ. Sust. 14(2) (2021)

    Google Scholar 

  30. General Statistics Office: Statistical yearbook of Vietnam 2020, G.S. Office, Editor. Statistical Publishing House (2020)

    Google Scholar 

  31. Nghe An province portal. https://www.nghean.gov.vn/

  32. Ministry of planning and investment of the socialist Republic of Vietnam. https://www.mpi.gov.vn/Pages/tinhthanhchitiet.aspx?idTinhThanh=58

  33. Smyth, A.J., Dumanski, J.: FESLM: an international framework for evaluating sustainable land management. In: World Soil Resources Report, F.a.A.O.o.t.U. Nations, Editor (1993)

    Google Scholar 

  34. Janowiak, M.K., et al.: Adaptation resources for agriculture: responding to climate variability and change in the Midwest and Northeast. United States Department of Agriculture (2016)

    Google Scholar 

  35. Farquharson, R., et al.: Everfarm®—Climate adapted perennial-based farming systems for dryland agriculture in southern Australia. In: National Climate Change Adaptation Research Facility, Gold Coast, p. 147 (2013)

    Google Scholar 

  36. Le, T.T.T., et al.: Developing a landslide susceptibility map using the analytic hierarchical process in Ta Van and Hau Thao Communes, Sapa, Vietnam. J. Disas. Res. 16(4), 529–538 (2021)

    Article  MathSciNet  Google Scholar 

  37. Bozóki, S., Rapcsák, T.: On Saaty’s and Koczkodaj’s inconsistencies of pairwise comparison matrices. J. Global Optim. 42, 157–175 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  38. Fawcett, T., An introduction to ROC analysis. Pattern Recognition Lett. 27(8), 861–874 (2006)

    Google Scholar 

  39. Hanczar, B., et al.: Small-sample precision of ROC-related estimates. Bioinformatics 26(6), 822–830 (2010)

    Article  CAS  PubMed  Google Scholar 

  40. Flach, P., Hernández-Orallo, J., Ferri. C.: A coherent interpretation of AUC as a measure of aggregated classification performance. In: Proceedings of the 28th International Conference on Machine Learning (2011)

    Google Scholar 

  41. Calders, T., Jaroszewicz, S.: Efficient AUC optimization for classification, in knowledge discovery in databases: PKDD 2007, J.N. Kok, et al., Editors, 42–53 (2007)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Le Quy Don Technical University, Hanoi, Vietnam

    Hanh Thi Tong & Yit Chanthol

  2. Thuyloi University, Hanoi, Vietnam

    Kien-Trinh Thi Bui

  3. Royal HaskoningDHV, Hanoi, Vietnam

    Cuong Manh Nguyen

Authors
  1. Hanh Thi Tong
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  2. Kien-Trinh Thi Bui
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  3. Cuong Manh Nguyen
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  4. Yit Chanthol
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Corresponding author

Correspondence to Kien-Trinh Thi Bui .

Editor information

Editors and Affiliations

  1. Department of Mine Surveying, Hanoi University of Mining and Geology, Hanoi, Vietnam

    Long Quoc Nguyen

  2. Department of Geodesy, Hanoi University of Mining and Geology, Hanoi, Vietnam

    Luyen Khac Bui

  3. Department of Surface Mining, Hanoi University of Mining and Geology, Hanoi, Vietnam

    Xuan-Nam Bui

  4. Department of Geology, Hanoi University of Mining and Geology, Hanoi, Vietnam

    Hai Thanh Tran

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Tong, H.T., Bui, KT.T., Nguyen, C.M., Chanthol, Y. (2023). GIS Applications in Land Adaptability Mapping for Perennial Industrial Crops in Nghe An Province, Vietnam. In: Nguyen, L.Q., Bui, L.K., Bui, XN., Tran, H.T. (eds) Advances in Geospatial Technology in Mining and Earth Sciences. GTER 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-20463-0_25

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