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2022 | OriginalPaper | Chapter

6. Land Suitability Analysis for Grape (Vitis vinifera L.) Production Using Satellite Remote Sensing, GIS, and Analytical Hierarchy Process

Authors : Sara Tokhi Arab, Tariq Salari, Ryozo Noguchi, Tofael Ahamed

Published in: Remote Sensing Application

Publisher: Springer Nature Singapore

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Abstract

Land suitability analysis is essential for a vineyard to increase its production and productivity under the dry conditions due to climate change. In this context, the purpose of this chapter is to determine the suitable locations for vineyards based on satellite remote sensing and GIS (geographical information system) to assess the suitability of land and least suitable land to support the vineyard growers for subsidy allocation. In this regard, the Landsat 8 operational land imager (OLI) and thermal infrared sensor (TIRS) and digital elevation (DM) shuttle radar topography mission (SRTM) images were processed to obtain the normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), land surface temperature (LST), and topographic maps (elevation, aspect, and slope). Moreover, JAXA rainfall information (mm per hour) and soil properties were used to incorporate climatic and soil conditions. Besides, socioeconomic information was collected through field surveys in Kabul Province in order to develop the vineyard suitability map. Finally, the suitable classes were determined using a weighted overly method based on the analytical hierarchy overlay process (AHP). The combined (physical and socioeconomic) suitability results indicated that highly suitable (12.9%), moderately suitable (25.5%), marginally suitable (28.5%), and not suitable lands (32.9%) were reported for grapes production in Kabul Province. The suitability models also indicated that 175.46 ha of vineyards out of 10599.96 ha of vineyards were located in marginal and not suitable areas. This research can support decision-makers, stakeholders, and growers with precise land assessments by identifying the main limiting criterion for producing table grape management. Furthermore, GIS analysis determined the vineyard growers from marginal and not suitable areas for providing support of subsidy to improve their livelihoods.

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Acharya TD, Yang IT (2015) Vineyard suitability analysis of Nepal. Int J Environ Sci 6(1):13. https://doi.org/10.6088/ijes.6002CrossRef

Afghanistan Central Statistics Organization (ACSO) (2020) Central statistics organization of Afghanistan’s statistical yearbook of 2018-2019. Islamic Republic of Afghanistan National Statistics and Information Authority, Kabul Afghanistan (42). April 2021. https://invest.gov.af/theme3/wp-content/uploads/2021/06/Afghanistan-Statistical-Yearbook-first-Version.pdf

Aguaron J, Escobar MT, Moreno-Jiménez JM (2003) Consistency stability intervals for a judgement in AHP decision support systems. Eur J Oper Res 145(2):382–393. https://doi.org/10.1016/S0377-2217(02)00544-1CrossRef

Anyamba A, Tucker CJ (2012) Historical perspective of AVHRR NDVI and vegetation drought monitoring. In: Remote sensing of drought: innovative monitoring approaches, vol 23, p 20. https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1217&context=nasapub

Aragüés R, Medina ET, Clavería I, Martínez-Cob A, Faci J (2014) Regulated deficit irrigation, soil salinization and soil sodification in a table grape vineyard drip-irrigated with moderately saline waters. Agric Water Manag 134:84–93. https://doi.org/10.1016/j.agwat.2013.11.019CrossRef

Badr G, Hoogenboom G, Moyer M, Keller M, Rupp R, Davenport J (2018) Spatial suitability assessment for vineyard site selection based on fuzzy logic. Precis Agric 19(6):1027–1048. https://doi.org/10.1007/s11119-018-9572-7CrossRef

Basile A, Albrizio R, Autovino D, Bonfante A, De Mascellis R, Terribile F, Giorio P (2020) A modelling approach to discriminate contributions of soil hydrological properties and slope gradient to water stress in Mediterranean vineyards. Agric Water Manag 241:106338. https://doi.org/10.1016/j.agwat.2020.106338CrossRef

Bhattacharya S, Halder S, Nag S, Roy PK, Roy MB (2021) Assessment of drought using multi-parameter indices. In: Advances in water resources management for sustainable use, vol 131, p 243. https://www.usgs.gov/core-science-systems/nli/landsat/landsat-provisional-surface-temperature?qt-science_support_page_related_con=0#qt-science_support_page_related_conCrossRef

Bonfante A, Agrillo A, Albrizio R, Basile A, Buonomo R, De Mascellis R, Terribile F et al (2015) Functional homogeneous zones (fHZs) in viticultural zoning procedure: an Italian case study on Aglianico vine. Soil 1(1):427–441. https://doi.org/10.5194/soil-1-427-2015CrossRef

Bramley RGV, Ouzman J, Boss PK (2011) Variation in vine vigour, grape yield and vineyard soils and topography as indicators of variation in the chemical composition of grapes, wine and wine sensory attributes. Aust J Grape Wine Res 17(2):217–229. https://doi.org/10.1111/j.1755-0238.2011.00136.xCrossRef

Brown D (2013) Soil sampling vineyards and guidelines for interpreting the soil test results. Michigan State Univ Ext 2(15):08. https://www.canr.msu.edu/news/soil_sampling_vineyards_and_guidelines_for_interpreting_the_soil_test_resul

Cardell MF, Amengual A, Romero R (2019) Future effects of climate change on the suitability of wine grape production across Europe. Reg Environ Chang 19(8):2299–2310. https://doi.org/10.1007/s10113-019-01502-xCrossRef

Casanova M, Messing I, Joel A (2000) Influence of aspect and slope gradient on hydraulic conductivity measured by tension infiltrometer. Hydrol Process 14(1):155–164. https://doi.org/10.1002/(SICI)1099-1085(200001)14:1<155::AID-HYP917>3.0.CO;2-JCrossRef

De Clercq WP, Van Meirvenne M, Fey MV (2009) Prediction of the soil-depth salinity-trend in a vineyard after sustained irrigation with saline water. Agric Water Manag 96(3):395–404. https://doi.org/10.1016/j.agwat.2008.09.002CrossRef

Deluisa A, Giandon P, Aichner M, Bortolami P, Bruna L, Lupetti A, Stringari G et al (1996) Copper pollution in Italian vineyard soils. Commun Soil Sci Plant Anal 27(5–8):1537–1548. https://doi.org/10.1080/00103629609369651CrossRef

Fan S, Gulati A, Thorat S (2008) Investment, subsidies, and pro-poor growth in rural India. Agric Econ 39(2):163–170. https://doi.org/10.1111/j.1574-0862.2008.00328.xCrossRef

FAO (1976) Food and agriculture organization. A framework for land evaluation. FAO, Rome. http://www.fao.org/3/x5310e/x5310e00.htm. Accessed 25 Oct 2021

FAO (2020) Grape production in Asia Pacific in 2019, by country. Survived by FAO. https://www.statista.com/statistics/679330/asia-pacific-grape-production-by-country/#statisticContainer. Accessed 20 Oct 2021

Gattullo CE, Mezzapesa GN, Stellacci AM, Ferrara G, Occhiogrosso G, Petrelli G, Castellini M, Spagnuolo M (2020) Cover crop for a sustainable viticulture: effects on soil properties and table grape production. Agronomy 10(9):1334. https://doi.org/10.3390/agronomy10091334CrossRef

Gemitzi A, Dalampakis P, Falalakis G (2021) Detecting geothermal anomalies using Landsat 8 thermal infrared remotely sensed data. Int J Appl Earth Obs Geoinf 96:102283. https://doi.org/10.1016/j.jag.2020.102283CrossRef

Goldammer T (2015) Grape grower’s handbook—a guide to viticulture for wine production, 2nd edn. APEX Publishers, Centreville, VA, p 484

Goldammer, T., (2018). Grape grower’s handbook. A guide to viticulture for wine production. http://www.wine-grape-growing.com/

Gong J, Liu Y, Chen W (2012) Land suitability evaluation for development using a matter-element model: a case study in Zengcheng, Guangzhou, China. Land Use Policy 29(2):464–472. https://doi.org/10.1016/j.landusepol.2011.09.005CrossRef

Hadri A, Saidi MEM, Boudhar A (2021) Multiscale drought monitoring and comparison using remote sensing in a Mediterranean arid region: a case study from west-Central Morocco. Arab J Geosci 14(2):1–18. https://doi.org/10.1007/s12517-021-06493-wCrossRef

Hashim H, Abd Latif Z, Adnan NA (2019) Urban vegetation classification with NDVI thresold value method with very high resolution (VHR) PLEIADES imagery. Int Arch Photogramm Remote Sens Spat Inf Sci 2019:237–240. https://doi.org/10.5194/isprs-archives-XLII-4-W16-237-2019CrossRef

Hatfield JL, Prueger JH (2015) Temperature extremes: effect on plant growth and development. Weather Clim Extrem 10:4–10. https://doi.org/10.1016/j.wace.2015.08.001CrossRef

Hossain MS, Das NG (2010) GIS-based multi-criteria evaluation to land suitability modelling for giant prawn (Macrobrachium rosenbergii) farming in Companigonj Upazila of Noakhali, Bangladesh. Comput Electron Agric 70(1):172–186. https://doi.org/10.1016/j.compag.2009.10.003CrossRef

Iacono MJ, Mlawer EJ, Clough SA, Morcrette JJ (2000) Impact of an improved longwave radiation model, RRTM, on the energy budget and thermodynamic properties of the NCAR community climate model, CCM3. J Geophys Res Atmos 105(D11):14873–14890. https://doi.org/10.1029/2000JD900091CrossRef

Islam MM, Matsushita S, Noguchi R, Ahamed T (2021) Development of remote sensing-based yield prediction models at the maturity stage of boro rice using parametric and nonparametric approaches. Remote Sens Appl Soc Environ 22:100494. https://doi.org/10.1016/j.rsase.2021.100494CrossRef

Jones BM, Kolden CA, Jandt R, Abatzoglou JT, Urban F, Arp CD (2009) Fire behavior, weather, and burn severity of the 2007 Anaktuvuk River tundra fire, north slope, Alaska. Arct Antarct Alp Res 41(3):309–316. https://doi.org/10.1657/1938-4246-41.3.309CrossRef

Karnieli A, Agam N, Pinker RT, Anderson M, Imhoff ML, Gutman GG, Panov N, Goldberg A (2010) Use of NDVI and land surface temperature for drought assessment: merits and limitations. J Climate 23(3):618–633. https://doi.org/10.1175/2009JCLI2900.1CrossRef

Kurtural SK (2007) Vineyard site selection. University of Kentucky Cooperative Extension Service. https://simpson.ca.uky.edu/files/vineyard_site_selection_in_ky_based_on_climate_and_soil_properties.pdf

Le Blanc D, Perez R (2008) The relationship between rainfall and human density and its implications for future water stress in sub-Saharan Africa. Ecol Econ 66(2–3):319–336. https://doi.org/10.1016/j.ecolecon.2007.09.009CrossRef

Li C, Li H, Li J, Lei Y, Li C, Manevski K, Shen Y (2019) Using NDVI percentiles to monitor real-time crop growth. Comput Electron Agric 162:357–363. https://doi.org/10.1016/j.compag.2019.04.026CrossRef

Lopez RA, He X, De Falcis E (2017) What drives China’s new agricultural subsidies? World Dev 93:279–292. https://doi.org/10.1016/j.worlddev.2016.12.015CrossRef

Lorenzo MN, Taboada JJ, Lorenzo JF, Ramos AM (2013) Influence of climate on grape production and wine quality in the Rías Baixas, North-Western Spain. Reg Environ Chang 13(4):887–896. https://doi.org/10.1007/s10113-012-0387-1CrossRef

Loveland TR, Irons JR (2016) Landsat 8: the plans, the reality, and the legacy. Remote Sens Environ 185:1–6. https://doi.org/10.1016/j.rse.2016.07.033CrossRef

Modica G, Laudari L, Barreca F, Fichera CR (2014) A GIS-MCDA based model for the suitability evaluation of traditional grape varieties: the case-study of ‘Mantonico'Grape (Calabria, Italy). Int J Agric Environ Inf Syst 5(3):1–16. https://doi.org/10.4018/ijaeis.2014070101CrossRef

Nguyen H, Nguyen T, Hoang N, Bui D, Vu H, Van T (2020) The application of LSE software: a new approach for land suitability evaluation in agriculture. Comput Electron Agric 173:105440. https://doi.org/10.1016/j.compag.2020.105440CrossRef

Park S, Jeon S, Kim S, Choi C (2011) Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea. Landsc Urban Plan 99(2):104–114. https://doi.org/10.1016/j.landurbplan.2010.09.001CrossRef

Paul M, Negahban-Azar M, Shirmohammadi A, Montas H (2020) Assessment of agricultural land suitability for irrigation with reclaimed water using geospatial multi-criteria decision analysis. Agric Water Manag 231:105987. https://doi.org/10.1016/j.agwat.2019.105987CrossRef

Purnamasari RA, Noguchi R, Ahamed T (2019) Land suitability assessments for yield prediction of cassava using geospatial fuzzy expert systems and remote sensing. Comput Electron Agric 166:105018. https://doi.org/10.1016/j.compag.2019.105018CrossRef

Qian J, Ito S, Zhao Z, Mu Y, Hou L (2015) Impact of agricultural subsidy policies on grain prices in China. J Fac Agric Kyushu Univ 60(1):273–279CrossRef

Rameshkumar S, Vadivelu S, Reddy R, Naidu L, Hegde R, Srinivas S (2006) Land suitability for grape cultivation and its economic evaluation in Rajanukunte watershed, Karnataka. http://isslup.in/wp-content/uploads/2018/09/Land-suitability-for-grape-cultivation-and-its.pdf

Ridley W, Devadoss S (2021) The effects of COVID-19 on fruit and vegetable production. Appl Econ Perspect Policy 43(1):329–340. https://doi.org/10.1002/aepp.13107CrossRef

Saaty TL (1980) The analytic hierarchy process (AHP). J Oper Res Soc 41(11):1073–1076

Saaty TL (1985) Axiomatization of the analytic hierarchy process. In: Decision Making with multiple objectives. Springer, Berlin, Heidelberg, pp 91–108. https://doi.org/10.1007/978-3-642-46536-9_4CrossRef

Saaty TL, Kearns KP (2014) Analytical planning: the organization of system, vol 7. Elsevier, Amsterdam

Saxton KE, Rawls WJ (2006) Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Sci Soc Am J 70(5):1569–1578. https://doi.org/10.2136/sssaj2005.0117CrossRef

Schmidt HP, Kammann C, Niggli C, Evangelou MW, Mackie KA, Abiven S (2014) Biochar and biochar-compost as soil amendments to a vineyard soil: influences on plant growth, nutrient uptake, plant health and grape quality. Agric Ecosyst Environ 191:117–123. https://doi.org/10.1016/j.agee.2014.04.001CrossRef

Shamsuzzoha M, Noguchi R, Ahamed T (2021) Damaged area assessment of cultivated agricultural lands affected by cyclone bulbul in coastal region of Bangladesh using Landsat 8 OLI and TIRS datasets. Remote Sens Appl Soc Environ 23:100523. https://doi.org/10.1016/j.rsase.2021.100523CrossRef

Stanchi S, Godone D, Belmonte S, Freppaz M, Galliani C, Zanini E (2013) Land suitability map for mountain viticulture: a case study in Aosta Valley (NW Italy). J Maps 9(3):367–372. https://doi.org/10.1080/17445647.2013.785986CrossRef

Steiner F, McSherry L, Cohen J (2000) Land suitability analysis for the upper Gila River watershed. Landsc Urban Plan 50(4):199–214. https://doi.org/10.1016/S0169-2046(00)00093-1CrossRef

Taghizadeh-Mehrjardi R, Nabiollahi K, Rasoli L, Kerry R, Scholten T (2020) Land suitability assessment and agricultural production sustainability using machine learning models. Agronomy 10(4):573. https://doi.org/10.3390/agronomy10040573CrossRef

Ted G (2018) The grape grower’s handbook: a complete guide to viticulture for wine production, 3rd edn. Apex. https://www.amazon.com/Grape-Growers-Handbook-Viticulture-Production/dp/0967521254

United States Agency for International Development (USAID) (2016) Commercial Horticulture and Agricultural Marketing Program. Best Practices for GRAPE Production and Marketing in Afghanistan. https://static1.squarespace.com/static/5b69fa24506fbeb93ef780e2/t/5c65bc46e5e5f088ebcad662/1550171215318/Best+Practices+for+GRAPE+Production+and+Marketing+in+Afghanistan+Roots+of+Peace+ROP.pdf

United States Department of Agriculture (2021) Apples, grapes, and pears: world markets and trade. USDA, Washington, DC. https://apps.fas.usda.gov/psdonline/circulars/fruit.pdf

Wali E, Datta A, Shrestha RP, Shrestha S (2016) Development of a land suitability model for saffron (Crocus sativus L.) cultivation in Khost Province of Afghanistan using GIS and AHP techniques. Arch Agron Soil Sci 62(7):921–934. https://doi.org/10.1080/03650340.2015.1101519CrossRef

Walt SM (2018) Land cover atlas. Foreign policy. https://ufdc.ufl.edu/AA00003612/00001/4j

Wolf TK, Boyer JD (2005) Vineyard site selection. https://vtechworks.lib.vt.edu/bitstream/handle/10919/50983/463-020_pdf.pdf

Worqlul AW, Jeong J, Dile YT, Osorio J, Schmitter P, Gerik T, Clark N et al (2017) Assessing potential land suitable for surface irrigation using groundwater in Ethiopia. Appl Geogr 85:1–13. https://doi.org/10.1016/j.apgeog.2017.05.010CrossRef

Xu Y, Ramanathan V, Washington WM (2016) Observed high-altitude warming and snow cover retreat over Tibet and the Himalayas enhanced by black carbon aerosols. Atmos Chem Phys 16(3):1303–1315. https://doi.org/10.5194/acp-16-1303-2016CrossRef

Zdruli P, Calabrese J, Ladisa G, Otekhile A (2014) Impacts of land cover change on soil quality of manmade soils cultivated with table grapes in the Apulia region of South-Eastern Italy. Catena 121:13–21. https://doi.org/10.1016/j.catena.2014.04.015CrossRef

Title: Land Suitability Analysis for Grape (Vitis vinifera L.) Production Using Satellite Remote Sensing, GIS, and Analytical Hierarchy Process
Authors: Sara Tokhi Arab
Tariq Salari
Ryozo Noguchi
Tofael Ahamed
Publisher: Springer Nature Singapore
Book: Remote Sensing Application
Print ISBN: 978-981-19-0212-3

Electronic ISBN: 978-981-19-0213-0

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-981-19-0213-0_6

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