Date Log
This work is licensed under a Creative Commons Attribution 4.0 International License.
Analysis of Spatial-Temporal Changes of Agricultural Land Use During the Last Three Decades in the Araban District of Turkey Using Remote Sensing
Corresponding Author(s) : Awet Tekeste Tsegai
Geomatics and Environmental Engineering,
Vol. 15 No. 1 (2021): Geomatics and Environmental Engineering
Abstract
Agricultural land use and land cover dynamics were investigated in the Araban district of Turkey during the periods 1984‑2019 by the use of Remote Sensing and Geographic Information Systems (GIS). Landsat‑TM and Landsat‑TIRS / OLI satellite imageries were used to determine land use and land cover changes. Using unsupervised classification method of ERDAS 8.3 software, three main agricultural activities were identified namely irrigated farming, dry farming, and horticultural / garden farming. The analysis has revealed that during the last three decades dry farming has decreased significantly by 14.69% (3802.14 ha) whereas horticultural/garden crops and irrigated farming lands have increased by 11.32% (667.19 ha) and 2.51% (2929.41 ha) respectively. Araban has been under intensive agricultural use due to its fertile soil and preference for horticultural crops such as pistachio, grapes and olives that provide more profit over dry farming crops such as wheat and barley has changed land use. Decrease in dry farming in a semi‑arid climate where Araban is located, has a potential ecological consequence, including a rapid drop of groundwater level, drying of wetlands and the disappearance of the biodiversity, thus, a necessary measures should be taken to implement an environmentally friendly, sustainable agriculture and settlement plan.
Keywords
Download Citation
Endnote/Zotero/Mendeley (RIS)BibTeX
- UN: The state of food security and nutrition in the world 2019: safeguarding against economic slowdowns and downturns. 2019.
- Vermeulen S., Aggarwal P.K., Ainslie A., Angelone C., Campbell B.M., Chal‑ linor A.J. et al.: Options for support to agriculture and food security under climate change. Environmental Science and Policy, vol. 15, 2012, pp. 136–144.
- Department of Economic and Social Affairs, U.N.: Growing at a slower pace. Department of Economic and Social Affairs, New York 2019.
- Sundarakumar K., Harika M., Begum S.A., Yamini S., Balakrishna K.: Land use and land cover change detection and urban sprawl analysis of Vijayawada city using multitemporal landsat data. International Journal of Engineering Science and Technology, vol. 4(01), 2012, pp. 170–178.
- Debnath J., Das N., Ahmed I., Bhowmik M.: Chronological change of land use/land cover of the Muhuri River Basin from 1972 to 2016, Tripura, North‑East India. Indian Journal of Science and Technology, vol. 10, 2017, pp. 1–18.
- Geist H.J., Lambin E.F.: Proximate causes and underlying driving forces of tropical deforestation. Bioscience, vol. 52, 2002, pp. 143–150.
- Lakshumanan C., Pradeep Kishore V., Viveganandan S., Krishnakumar P., Muthusankar G.: Landuse/land cover dynamics study in Nilgiris district part of Western Ghats, Tamilnadu. International Journal of Geomatics and Geosciences, vol. 2, no. 3, 2012, pp. 911–923.
- Dubovyk O. The role of Remote Sensing in land degradation assessments: opportunities and challenges. European Journal of Remote Sensing, vol. 50, 2017, pp. 601–613.
- Pawe C.K., Saikia A.: Unplanned urban growth: land use/land cover change in the Guwahati Metropolitan Area, India. Geografisk Tidsskrift‑Danish Journal of Geography, vol. 118, 2018, p. 88–100.
- Polasky S., Nelson E., Pennington D., Johnson K.A.: The impact of land‑use change on ecosystem services, biodiversity and returns to landowners: a case study in the state of innesota. Environmental and Resource Economics, vol. 48, 2011, pp. 219–242.
- Chowdhury M., Hasan M.E., Abdullah‑Al‑Mamun M.M.: Land use/land cover change assessment of Halda watershed using remote sensing and GIS. The Egyptian Journal of Remote Sensing and pace Science, vol. 23(1), 2020, pp. 63–75.
- Shalaby A., Tateishi R.: Remote sensing and GIS for mapping and monitoring land cover and land‑use changes in the Northwestern coastal zone of Egypt. Applied Geography, vol. 27(1), 2007, pp. 28–41.
- Mulla D.J.: Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosystems Engineering, vol. 114(4), 2013, pp. 358–371.
- Dewan A.M., Yamaguchi Y.: Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Applied Geography, vol. 29, 2009, pp. 90–401.
- Cegielska K., Noszczyk T., Kukulska A., Szylar M., Hernik J., Dixon‑Gough R., Jombach S., Valánszki I., Kovács K.F.: Land use and land cover changes in post‑socialist countries: Some observations from Hungary and Poland. Land Use Policy, vol. 78, 2018, pp. 1–18.
- Sharma L., Pandey P.C., Nathawat M.S.: Assessment of land consumption rate with urban dynamics change using geospatial techniques. Journal of Land Use Science, vol. 7(2), 2012, pp. 135–148.
- Mishra P.K., Rai A., Rai S.C.: Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India. Egyptian Journal of Remote Sensing and Space Science, vol. 23(2), 2019, pp. 133–143.
- Dannenberg P., Kuemmerle T.: Farm size and land use pattern changes in post socialist Poland. The Professional Geographer, vol. 62(2), 2010, pp. 197–210.
- Yan H., Liu J., Huang H.Q., Tao B., Cao M.: Assessing the consequence of land use change on agricultural productivity in China. Global and Planetary Change, vol. 67(1–2), 2009, pp. 13–19.
- Wan N.: Pesticides exposure modeling based on GIS and remote sensing land use data. Applied Geography, vol. 56, 2015, pp. 99–106.
- Tunç E., Özkan A., Çelik M.A.: Determination of the K‑factor of Arable Land in Yavuzeli and Araban / Gaziantep Province. Journal of International Social Research, vol. 6(28), 2013, pp. 432–440.
- Tunç E., Celik M.A., Gulersoy A.E.: Investigation of the phenology of Pistachio (Pistacia vera L.) on different soil types using MODIS NDVI data. Geography, vol. 2(12), 2013, pp. 231–237.
- Tunç E., Çelik M.A.: Monitoring the effects of rainfall conditions on wheat (Triticum Aestivum L.) fields using MODIS data in Araban / Gaziantep, Turkey. Fresenius Environmental Bulletin, vol. 23(3), 2014, pp. 728–737.
- Kottek M., Grieser J., Beck C., Rudolf B., Rubel F.: World map of the Köppen‑Geiger climate classification updated. Meteorologische Zeitschrift, vol. 15(3), 2006, pp. 259–263.
- Bricklemyer R.S., Lawrence R.L., Miller P.R., Battogtokh N.: Predicting tillage practices and agricultural soil disturbance in north central Montana with Landsat imagery. Agriculture, Ecosystems and Environment, vol. 114(2–4), 2006, pp. 210–216.
- Pantaleoni E., Engel BA, Johannsen C.J.: Identifying agricultural flood damage using Landsat imagery. Precision Agriculture, vol. 8(1–2), 2007, pp. 27–36.
- Leslie C.R., Serbina L.O., Miller H.M.: Landsat and agriculture – case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production. U.S. Geological Survey Open‑File Report, 1034, 2017.
- Chen Y., Lu D., Luo L., Pokhrel Y., Deb K., Huang J., Ran Y.: Detecting irri‑ gation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data. Remote Sensing of Environment, vol. 204, 2018, pp. 197–211.
- Cohen J.: A coefficient of agreement for nominal scales. Educational and Psychological Measurement, vol. 20, no. 1, 1960, pp. 37–46.
- Gaziantep Provincial Directorate of Agriculture and Forestry. 2018. Gaziantep İl Tarım ve Orman Müdürlüğü. https://gaziantep.tarimorman.gov.tr/Belgeler/Brifing%202018.pdf [access: 18.07.2020].
References
UN: The state of food security and nutrition in the world 2019: safeguarding against economic slowdowns and downturns. 2019.
Vermeulen S., Aggarwal P.K., Ainslie A., Angelone C., Campbell B.M., Chal‑ linor A.J. et al.: Options for support to agriculture and food security under climate change. Environmental Science and Policy, vol. 15, 2012, pp. 136–144.
Department of Economic and Social Affairs, U.N.: Growing at a slower pace. Department of Economic and Social Affairs, New York 2019.
Sundarakumar K., Harika M., Begum S.A., Yamini S., Balakrishna K.: Land use and land cover change detection and urban sprawl analysis of Vijayawada city using multitemporal landsat data. International Journal of Engineering Science and Technology, vol. 4(01), 2012, pp. 170–178.
Debnath J., Das N., Ahmed I., Bhowmik M.: Chronological change of land use/land cover of the Muhuri River Basin from 1972 to 2016, Tripura, North‑East India. Indian Journal of Science and Technology, vol. 10, 2017, pp. 1–18.
Geist H.J., Lambin E.F.: Proximate causes and underlying driving forces of tropical deforestation. Bioscience, vol. 52, 2002, pp. 143–150.
Lakshumanan C., Pradeep Kishore V., Viveganandan S., Krishnakumar P., Muthusankar G.: Landuse/land cover dynamics study in Nilgiris district part of Western Ghats, Tamilnadu. International Journal of Geomatics and Geosciences, vol. 2, no. 3, 2012, pp. 911–923.
Dubovyk O. The role of Remote Sensing in land degradation assessments: opportunities and challenges. European Journal of Remote Sensing, vol. 50, 2017, pp. 601–613.
Pawe C.K., Saikia A.: Unplanned urban growth: land use/land cover change in the Guwahati Metropolitan Area, India. Geografisk Tidsskrift‑Danish Journal of Geography, vol. 118, 2018, p. 88–100.
Polasky S., Nelson E., Pennington D., Johnson K.A.: The impact of land‑use change on ecosystem services, biodiversity and returns to landowners: a case study in the state of innesota. Environmental and Resource Economics, vol. 48, 2011, pp. 219–242.
Chowdhury M., Hasan M.E., Abdullah‑Al‑Mamun M.M.: Land use/land cover change assessment of Halda watershed using remote sensing and GIS. The Egyptian Journal of Remote Sensing and pace Science, vol. 23(1), 2020, pp. 63–75.
Shalaby A., Tateishi R.: Remote sensing and GIS for mapping and monitoring land cover and land‑use changes in the Northwestern coastal zone of Egypt. Applied Geography, vol. 27(1), 2007, pp. 28–41.
Mulla D.J.: Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosystems Engineering, vol. 114(4), 2013, pp. 358–371.
Dewan A.M., Yamaguchi Y.: Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Applied Geography, vol. 29, 2009, pp. 90–401.
Cegielska K., Noszczyk T., Kukulska A., Szylar M., Hernik J., Dixon‑Gough R., Jombach S., Valánszki I., Kovács K.F.: Land use and land cover changes in post‑socialist countries: Some observations from Hungary and Poland. Land Use Policy, vol. 78, 2018, pp. 1–18.
Sharma L., Pandey P.C., Nathawat M.S.: Assessment of land consumption rate with urban dynamics change using geospatial techniques. Journal of Land Use Science, vol. 7(2), 2012, pp. 135–148.
Mishra P.K., Rai A., Rai S.C.: Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India. Egyptian Journal of Remote Sensing and Space Science, vol. 23(2), 2019, pp. 133–143.
Dannenberg P., Kuemmerle T.: Farm size and land use pattern changes in post socialist Poland. The Professional Geographer, vol. 62(2), 2010, pp. 197–210.
Yan H., Liu J., Huang H.Q., Tao B., Cao M.: Assessing the consequence of land use change on agricultural productivity in China. Global and Planetary Change, vol. 67(1–2), 2009, pp. 13–19.
Wan N.: Pesticides exposure modeling based on GIS and remote sensing land use data. Applied Geography, vol. 56, 2015, pp. 99–106.
Tunç E., Özkan A., Çelik M.A.: Determination of the K‑factor of Arable Land in Yavuzeli and Araban / Gaziantep Province. Journal of International Social Research, vol. 6(28), 2013, pp. 432–440.
Tunç E., Celik M.A., Gulersoy A.E.: Investigation of the phenology of Pistachio (Pistacia vera L.) on different soil types using MODIS NDVI data. Geography, vol. 2(12), 2013, pp. 231–237.
Tunç E., Çelik M.A.: Monitoring the effects of rainfall conditions on wheat (Triticum Aestivum L.) fields using MODIS data in Araban / Gaziantep, Turkey. Fresenius Environmental Bulletin, vol. 23(3), 2014, pp. 728–737.
Kottek M., Grieser J., Beck C., Rudolf B., Rubel F.: World map of the Köppen‑Geiger climate classification updated. Meteorologische Zeitschrift, vol. 15(3), 2006, pp. 259–263.
Bricklemyer R.S., Lawrence R.L., Miller P.R., Battogtokh N.: Predicting tillage practices and agricultural soil disturbance in north central Montana with Landsat imagery. Agriculture, Ecosystems and Environment, vol. 114(2–4), 2006, pp. 210–216.
Pantaleoni E., Engel BA, Johannsen C.J.: Identifying agricultural flood damage using Landsat imagery. Precision Agriculture, vol. 8(1–2), 2007, pp. 27–36.
Leslie C.R., Serbina L.O., Miller H.M.: Landsat and agriculture – case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production. U.S. Geological Survey Open‑File Report, 1034, 2017.
Chen Y., Lu D., Luo L., Pokhrel Y., Deb K., Huang J., Ran Y.: Detecting irri‑ gation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data. Remote Sensing of Environment, vol. 204, 2018, pp. 197–211.
Cohen J.: A coefficient of agreement for nominal scales. Educational and Psychological Measurement, vol. 20, no. 1, 1960, pp. 37–46.
Gaziantep Provincial Directorate of Agriculture and Forestry. 2018. Gaziantep İl Tarım ve Orman Müdürlüğü. https://gaziantep.tarimorman.gov.tr/Belgeler/Brifing%202018.pdf [access: 18.07.2020].