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.
Similar content being viewed by others
References
Ahamed T, Khan MIN, Takigawa T, Koike M, Tasnim F, Zaman JMQ (2009) Resource management for sustainable development: a community-and GIS-based approach. Environ Dev Sustain 11(5):933–954. https://doi.org/10.1007/s10668-008-9159-y
Ahamed T, Noguchi R, Takigawa T, Tian L (2013) Bioproduction engineering: a road map for sustainable agricultural practices. Nova, New York
Ahamed T, Noguchi R, Takigawa T (2015) Sustainability: integrating environment, agriculture and renewable energy for food security. Nova Publisher, New York, pp 10–11
Ahmed B (2015) Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh. Landslides 12(6):1077–1095
Akıncı H, Özalp AY, Turgut B (2013) Agricultural land use suitability analysis using GIS and AHP technique. Comput Electron Agric 97:71–82. https://doi.org/10.1016/j.compag.2013.07.006
Ariningsih E (2018) Cluster-Based Cassava Production Improvement in West Java and South Sulawesi Provinces. AKP 14(2):125–148
Azizi A, Malekmohammadi B, Jafari HR, Nasiri H, Parsa VA (2014) Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province, Iran. Environ Monit Assess 186(10):6695–6709
Bell S, Morse S (2008) Sustainability indicators, measuring the immeasurable?. Earthscan, London
BPS (2017) Regional Statistics Banten Province 2017 Badan Pusat Statistik (The Central Statistics Agency of Indonesia). BPS, Banten
Brandt P, Kvakić M, Butterbach-Bahl K, Rufino MC (2015) How to target climate-smart agriculture? Concept and application of the consensus-driven decision support framework “targetCSA”. Agric Syst. https://doi.org/10.1016/j.agsy.2015.12.011
Bunruamkaew K, Murayam Y (2011) Site suitability evaluation for ecotourism using GIS & AHP: a case study of Surat Thani province, Thailand. Procedia Soc Behav Sci 21:269–278. https://doi.org/10.1016/j.sbspro.2011.07.024
Campo BVH, Hyman G, Bellotti A (2011) Threats to cassava production: known and potential geographic distribution of four key biotic constraints. Food Secur 3(3):329. https://doi.org/10.1007/s12571-011-0141-4
Ceballos-Silva Alejandro, Lopez-Blanco Jorge (2003) Delineation of suitable areas for crops using a multi-criteria evaluation approach and land use/cover mapping: a case study in Central Mexico. Agric Syst 77(2):117–136. https://doi.org/10.1016/S0308-521X(02)00103-8
Devendra C, Thomas D (2002) Smallholder farming systems in Asia. Agric Syst 71(1):17–25. https://doi.org/10.1016/S0308-521X(01)00033-6
Eckert J, Shetty S (2011) Food systems, planning and quantifying access: using GIS to plan for food retail. Appl Geogr 31(4):1216–1223. https://doi.org/10.1016/j.apgeog.2011.01.011
Elhag M (2014) Sensitivity analysis assessment of remotely based vegetation indices to improve water resources management. Environ Dev Sustain 16(6):1209–1222. https://doi.org/10.1007/s10668-014-9522-0
Elsheikh R, Shariff ARBM, Amiri F, Ahmad NB, Balasundram SK, Soom MAM (2013) Agriculture land suitability evaluator (ALSE): a decision and planning support tool for tropical and subtropical crops. Comput Electron Agric 93:98–110. https://doi.org/10.1016/j.compag.2013.02.003
FAO (1976) A framework for land evaluation, 1st edn. FAO, Rome
FAO (2000) Land resources information systems in Asia. World soil resource reports. FAO, Rome
FAO (2013) Save and grow: Cassava A guide to sustainable production intensification. FAO, Rome
Feenstra GW (1997) Local food systems and sustainable communities. Am J Altern Agric 12(01):28–36. https://doi.org/10.1017/S0889189300007165
Feizizadeh B, Blaschke T (2014) An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping. Int J Geogr Inf Sci 28(3):610–638
Ferretti V, Pomarico S (2013) An integrated approach for studying the land suitability for ecological corridors through spatial multicriteria evaluations. Environ Dev Sustain 15(3):859–885. https://doi.org/10.1007/s10668-012-9400-6
Gatrell JD, Reid N, Ross P (2011) Local food systems, deserts, and maps: the spatial dynamics and policy implications of food geography. Appl Geogr 31(4):1195–1196. https://doi.org/10.1016/j.apgeog.2011.01.013
Heumann BW, Walsh SJ, McDaniel PM (2011) Assessing the application of a geographic presence-only model for land suitability mapping. Ecological Inform 6(5):257–269. https://doi.org/10.1016/j.ecoinf.2011.04.004
Howeler RH (1991) Long-term effect of cassava cultivation on soil productivity. Field crops Res 26(1):1–18. https://doi.org/10.1016/0378-4290(91)90053-X
Khumaida N, Ardie SW, Sopandie D (2016) Influence of Agro-ecology on growth and performance of several potential mutants of Cassava. Procedia Environ Sci 33:70–77
Khush GS (2005) What it will take to feed 5.0 billion rice consumers in 2030. Plant Mol Biol 59(1):1–6. https://doi.org/10.1007/s11103-005-2159-5
Kolawole PO, Agbetoye L, Ogunlowo SA (2010) Sustaining world food security with improved cassava processing technology: the Nigeria experience. Sustainability 2(12):3681–3694. https://doi.org/10.3390/su2123681
Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York
Malczewski J (2004) GIS-based land-use suitability analysis: a critical overview. Prog Plan 62(1):3–65
Malczewski Jacek (2006) GIS-based multicriteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 20(7):703–726. https://doi.org/10.1080/13658810600661508
Noerwijati K, Budiono R (2015) Yield and yield components evaluation of cassava (Manihot esculenta Crantz) clones in different altitudes. Energy Procedia 65:155–161. https://doi.org/10.1016/j.egypro.2015.01.050
Pramanik MK (2016) Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques. Model Earth Syst Environ 2(2):56
Qureshi MRN, Singh RK, Hasan MA (2017) Decision support model to select crop pattern for sustainable agricultural practices using fuzzy MCDM. Environ Dev Sustain 1–19. https://doi.org/10.1007/s10668-016-9903-7
Rinner C, Voss S (2013) MCDA4ArcMap–an open-source multi-criteria decision analysis and geovisualization tool for ArcGIS 10. Cartouche Newslett Can Cartogr Assoc 86:12–13
Rouse JW, Haas RH, Schell JA, Deering DW (1973) Monitoring vegetation systems in the Great Plains with ERTS, Third ERTS Symposium, NASA SP-351 I, 309-317
Saaty (1980) Decision making for leaders: the analytic hierarchy process in a complex world. RWS, Pittsburgh
Saaty TL (1989) Group decision making and the AHP. In: Golden BL, Wasil EA, Harker PT (eds) The analytic hierarchy process. Springer, Berlin, Heidelberg
Smyth AJ, Dumanski J (1993) FESLM: an international framework for evaluating sustainable land management. FAO, Rome, p 76
Sydorovych O, Wossink A (2008) The meaning of agricultural sustainability: evidence from a conjoint choice survey. Agric Syst 98(1):10–20. https://doi.org/10.1016/j.agsy.2008.03.001
Tienwong K, Dasananda S, Navanugraha C (2009) Integration of land evaluation and the analytical hierarchical process method for energy crops in Kanchanaburi, Thailand. ScienceAsia 35:170–177. https://doi.org/10.2306/scienceasia1513-1874.2009.35.170
Tiwari DN, Loof R, Paudyal GN (1991) Environmental–economic decision-making in lowland irrigated agriculture using multi-criteria analysis techniques. Agric Syst 60(2):99–112. https://doi.org/10.1016/S0308-521X(99)00021-9
Von Wirén-Lehr S (2001) Sustainability in agriculture—an evaluation of principal goal-oriented concepts to close the gap between theory and practice. Agric Ecosyst Environ 84(2):115–129. https://doi.org/10.1016/S0167-8809(00)00197-3
Vrieling A, de Beurs KM, Brown ME (2011) Variability of African farming systems from phenological analysis of NDVI time series. Clim Change 109(3–4):455–477. https://doi.org/10.1007/s10584-011-0049-1
Wargiono J, Sudaryanto B (2000) Cassava leaves and forage crops for ruminant feed in the establishment of sustainable cassava farming system in Indonesia. In National Workshop-Seminar on Sustainable Livestock Production on Local Feed Resources. pp. 496–503. http://ciat-library.ciat.cgiar.org/Articulos_Ciat/proceedings_workshop_02/496.pdf
Widiatmaka W (2016) Integrated use of GIS, AHP and remote sensing in land use planning for tropical high altitude vegetable crops. J Appl Hortic 18:87–99
Zabihi H, Ahmad A, Vogeler I, Said MN, Golmohammadi M, Golein B, Nilashi M (2015) Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS. Comput Electron Agric 117:114–126. https://doi.org/10.1016/j.compag.2015.07.014
Zolekar RB, Bhagat VS (2015) Multi-criteria land suitability analysis for agriculture in hilly zone: remote sensing and GIS approach. Comput Electron Agric 118:300–321. https://doi.org/10.1016/j.compag.2015.09.016
Acknowledgements
We would like to thank the University of Tsukuba to support this research to develop the multi-criteria modeling for land suitability analysis for Cassava Production in Indonesia. We also express our sincere thanks to the, Indonesian Geospatial Agency, the United States Geological Survey (USGS) and European Space Agency (ESA) for geographical and satellite data information. We sincerely thank the Indonesia Endowment Fund for Education (LPDP) for providing scholarship to continue this research in Japan. We also expressed our gratitude to Indonesian experts and field surveyors to participate in this research.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Purnamasari, R.A., Ahamed, T. & Noguchi, R. Land suitability assessment for cassava production in Indonesia using GIS, remote sensing and multi-criteria analysis. Asia-Pac J Reg Sci 3, 1–32 (2019). https://doi.org/10.1007/s41685-018-0079-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s41685-018-0079-z