Spatio-temporal analysis of land use/land cover dynamics in Sokoto Metropolis using multi-temporal satellite data and Land Change Modeller

https://doi.org/10.22146/ijg.46615

Murtala Dangulla(1*), Latifah Abd Manaf(2), Firuz Ramli Mohammad(3)

(1) Usmanu Danfodiyo University,Sokoto,Nigeria
(2) Department of Environmental Science, Universiti Putra Malaysia
(3) Department of Environmental Science, Universiti Putra Malaysia
(*) Corresponding Author

Abstract


Urbanization is currently one of the most pressing environmental issues which cuts across all countries at unprecedented rates and intensities, with far reaching consequences on ecosystems, biodiversity and human wellbeing. This paper assessed urban expansion and land use/land cover changes in Sokoto metropolis, North-western Nigeria using Remote Sensing and GIS. Landsat images of 1990, 1999 and 2015 were processed for LULC classification and change detection using the Maximum Likelihood Classification, Post Classification Comparison techniques and the Land Change Modeler. The classification revealed five broad land cover classes which include Built-up Area, Farmland, Green Area, Open Space and Wetland/Water. The Built-up and Green areas continuously increased while Farmland and Open space decreased throughout the study period. The metropolis expanded radially at a faster rate between 1999 and 2015 with the highest rate of increase (1890.5ha per annum) recorded in the Built-up Area. This implies a doubling time of approximately 30 years at the expense of Farmland and Open space which may be completely exhausted in 40 and 29 years respectively. Infrastructural provision should thus align with the rate and direction of growth and where the Green Area is converted, replacement should be made to ensure continued supply and stability of the numerous ecosystem services green areas provide.


Keywords


Urbanization; LULC change; Remote Sensing; GIS; Landsat

Full Text:

PDF


References

Abudu, D., Echima, R. A., and Andogah, G. (2019). Spatial assessment of urban sprawl in Arua Municipality, Uganda. Egyptian Journal of Remote Sensing and Space Science, 22(3), 315–322. https://doi.org/10.1016/j.ejrs.2018.01.008

Akintunde, J. A., Adzandeh, E. A., and Fabiyi, O. O. (2016). Spatio-temporal pattern of urban growth in Jos Metropolis, Nigeria. Remote Sensing Applications: Society and Environment, 4, 44–54. https://doi.org/10.1016/j.rsase.2016.04.003

Akpu, B., and Tanko, A. I. (2017). Determining the Rate and Pattern of the Spatio-Temporal Growth of Kaduna Metropolis, Kaduna State Nigeria. Journal of Geography, Environment and Earth Science International, 11(1), 1–10. https://doi.org/10.9734/JGEESI/2017/31455

Al-doski, J., Mansor, S. B., and Shafri, H. Z. M. (2013). Change Detection Process and Techniques. Civil and Environmental Research, 3(10), 37–46. https://doi.org/10.7176/CER

Aliyu, A., and Amadu, L. (2017). Urbanization, cities, and health: The challenges to Nigeria – A review. Annals of African Medicine, 16(4), 149. https://doi.org/10.4103/aam.aam_1_17

Alqurashi, A. F., and Kumar, L. (2017). An assessment of the impact of urbanization and land use changes in the fast-growing cities of Saudi Arabia. Geocarto International, 34(1), 78–97. https://doi.org/10.1080/10106049.2017.1367423

Anderson, J. R., Hardy, E. E., Roach, J. T., Witmer, R. E., and Peck, D. L. (1976). A Land Use And Land Cover Classification System For Use With Remote Sensor Data. A Revision of the Land Use Classification System as Presented in U.S. Geological Survey Circular 671, 964, 41.

Areendran, G., Raj, K., Mazumdar, S., and Sharma, A. (2017). Land use and land cover change analysis for Kosi river wildlife corridor in Terai Arc landscape of Northern India: Implications for future management. Tropical Ecology, 58(1), 139–149.

Ayele, G. T., Tebeje, A. K., Demissie, S. S., Belete, M. A., Jemberrie, M. A., Teshome, W. M., Mengistu, D. T., and Teshale, E. Z. (2018). Time series land cover mapping and change detection analysis using geographic information system and remote sensing, Northern Ethiopia. Air, Soil and Water Research, 11, 1–18. https://doi.org/10.1177/1178622117751603

Bai, X., Sharma, R. C., Tateishi, R., Kondoh, A., Wuliangha, B., and Tana, G. (2017). A Detailed and High-Resolution Land Use and Land Cover Change Analysis over the Past 16 Years in the Horqin Sandy Land, Inner Mongolia. Mathematical Problems in Engineering, 2017, 1–13. https://doi.org/10.1155/2017/1316505

Bhat, P. A., Shafiq, M. ul, Mir, A. A., and Ahmed, P. (2017). Urban sprawl and its impact on landuse/land cover dynamics of Dehradun City, India. International Journal of Sustainable Built Environment, 6(2), 513–521. https://doi.org/10.1016/j.ijsbe.2017.10.003

Bloch, R., Monroy, J., and Fox, S. (2015). Urbanisation and Urban Expansion in Nigeria (Issue July).

Blood, A., Starr, G., Escobedo, F., Chappelka, A., and Staudhammer, C. (2016). How Do Urban Forests Compare ? Tree Diversity in Urban and Periurban Forests of the Southeastern US. Forests, 7(6), 1–15. https://doi.org/10.3390/f7060120

Chavez, P. S. (1996). Image based atmospheric corrections - revisited and revised. Photogrammetric Engineering and Remote Sensing, 62(9), 1025–1036.

Chowdhury, M., Hasan, M. E., and Abdullah-Al-Mamun, M. . (2019). Land use/land cover change assessment of Halda watershed using remote sensing and GIS. The Egyptian Journal of Remote Sensing and Space Sciences, (in press). https://doi.org/https://doi.org/10.1016/j.ejrs.2018.11.003

Dangulla, M. (2019). Land cover change impacts on the tree density and carbon stock in Sokoto Metropolis, North-Western Nigeria (Issue May). Universiti Putra Malaysia.

Delphin, S., Escobedo, F. J., Abd-Elrahman, A., and Cropper, W. P. (2016). Urbanization as a land use change driver of forest ecosystem services. Land Use Policy, 54, 188–199. https://doi.org/10.1016/j.landusepol.2016.02.006

Donnermeyer, J. F. (2015). Doubling Time and Population Increase of the Amish. Journal of Amish and Plain Anabaptist Studies, 3(1), 94–109. https://doi.org/10.18061/1811/69364

Eastman, J. R. (2015). TerrSet: Geospatial Monitoring and Modeling Software. In Clark Labs (Vol. 53, Issue 9). Clark Labs.

El Garouani, A., Mulla, D. J., El Garouani, S., and Knight, J. (2017). Analysis of urban growth and sprawl from remote sensing data: Case of Fez, Morocco. International Journal of Sustainable Built Environment, 6(1), 160–169. https://doi.org/10.1016/j.ijsbe.2017.02.003

Eniolorunda, N. B., and Dankani, I. M. (2012). Assessment of urban growth pattern in sokoto metroplis, nigeria using multitemporal sateelite data. Nigeria Geographical Journal, 8(1), 107–122.

Farrell, K. (2018). An Inquiry into the Nature and Causes of Nigeria’s Rapid Urban Transition. Urban Forum, 29(3), 277–298. https://doi.org/10.1007/s12132-018-9335-6

Fenta, A. A., Yasuda, H., Haregeweyn, N., Belay, A. S., Hadush, Z., Gebremedhin, M. A., and Mekonnen, G. (2017). The dynamics of urban expansion and land use/land cover changes using remote sensing and spatial metrics: The case of Mekelle city of northern Ethiopia. International Journal of Remote Sensing, 38(14), 4107–4129. https://doi.org/10.1080/01431161.2017.1317936

Fonji, S. F., and Taff, G. N. (2014). Using satellite data to monitor land-use land-cover change in North-eastern Latvia. SpringerPlus, 3(1), 1–15. https://doi.org/10.1186/2193-1801-3-61

Foody, G. M. (2015). Valuing map validation: The need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services. Ecological Economics, 111, 23–28. https://doi.org/10.1016/j.ecolecon.2015.01.003

Goodin, D. G., Anibas, K. L., and Bezymennyi, M. (2015). Mapping land cover and land use from object-based classification: an example from a complex agricultural landscape. International Journal of Remote Sensing, 36(18), 4702–4723. https://doi.org/10.1080/01431161.2015.1088674

Gumma, M. K., Mohammad, I., Nedumaran, S., Whitbread, A., and Lagerkvist, C. J. (2017). Urban sprawl and adverse impacts on agricultural land: A case study on Hyderabad, India. Remote Sensing, 9(11), 1–16. https://doi.org/10.3390/rs9111136

Hasmadi, M. I., Pakhriazad, H. . Z., and Shahrin, M. F. (2009). Evaluating supervised and unsupervised techniques for land cover mapping using remote sensing data. Malaysian Journal of Society and Space, 5(1), 1–10.

He, C., Liu, Z., Gou, S., Zhang, Q., Zhang, J., and Xu, L. (2019). Detecting global urban expansion over the last three decades using a fully convolutional network. Environmental Research Letters. https://doi.org/10.1088/1748-9326/aaf936

Hermosilla, T., Wulder, M. A., White, J. C., Coops, N. C., and Hobart, G. W. (2015). An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment, 158, 220–234. https://doi.org/10.1016/j.rse.2014.11.005

Iizuka, K., Johnson, B. A., Onishi, A., Magcale-Macandog, D. B., Endo, I., Bragais, M., Millington, A., Nagendra, H., and Kopecka, M. (2017). Modeling Future Urban Sprawl and Landscape Change in the Laguna de Bay Area, Philippines. Land, 6(26), 1–20. https://doi.org/10.3390/land6020026

Jawak, S. D., Devliyal, P., and Luis, A. J. (2015). A Comprehensive Review on Pixel Oriented and Object Oriented Methods for Information Extraction from Remotely Sensed Satellite Images with a Special Emphasis on Cryospheric Applications. Advances in Remote Sensing, 04(03), 177–195. https://doi.org/10.4236/ars.2015.43015

Jianguo, W. (2014). Urban ecology and sustainability: The state-of-the-science and future directions. Landscape and Urban Planning, 125, 209–221. https://doi.org/10.1016/j.landurbplan.2014.01.018

Jianzhu, W., and Maduako, I. N. (2018). Spatio-temporal urban growth dynamics of Lagos Metropolitan Region of Nigeria based on Hybrid methods for LULC modeling and prediction. European Journal of Remote Sensing, 51(1), 251–265. https://doi.org/10.1080/22797254.2017.1419831

John, J., Bindu, G., Srimuruganandam, B., Wadhwa, A., and Rajan, P. (2020). Land use/land cover and land surface temperature analysis in Wayanad district, India, using satellite imagery. Annals of GIS, 1–18. https://doi.org/10.1080/19475683.2020.1733662

Karlson, M., and Ostwald, M. (2016). Remote sensing of vegetation in the Sudano-Sahelian zone: A literature review from 1975 to 2014. Journal of Arid Environments, 124, 257–269. https://doi.org/10.1016/J.JARIDENV.2015.08.022

Lal, K., Kumar, D., and Kumar, A. (2017). Spatio-temporal landscape modeling of urban growth patterns in Dhanbad Urban Agglomeration , India using geoinformatics techniques. The Egyptian Journal of Remote Sensing and Space Sciences, 20(1), 91–102. https://doi.org/10.1016/j.ejrs.2017.01.003

Li, G. Y., Chen, S. S., Yan, Y., and Yu, C. (2015). Effects of Urbanization on Vegetation Degradation in the Yangtze River Delta of China: Assessment Based on SPOT-VGT NDVI. Journal of Urban Planning and Development, 141(4), 05014026:1-11. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000249

Lillesand, R. W., and Kiefer, T. M. (2015). Remote sensing and Image Interpretation. In John Wiley and Sons, Inc., New York. https://doi.org/10.1017/S0016756800012024

Macaulay, B. M. (2014). Land degradation in Northern Nigeria: The impacts and implications of human-related and climatic factors. African Journal of Environmental Science and Technology, 8(5), 267–273. https://doi.org/10.5897/AJEST2013.1584

Mahmoud, M. I., Duker, A., Conrad, C., Thiel, M., and Ahmad, H. S. (2016). Analysis of settlement expansion and urban growth modelling using geoinformation for assessing potential impacts of urbanization on climate in Abuja City, Nigeria. Remote Sensing, 8(220), 1–24. https://doi.org/10.3390/rs8030220

Mallupattu, P. K., Reddy, J., and Reddy, S. (2013). Analysis of Land Use / Land Cover Changes Using Remote Sensing Data and GIS at an Urban Area , Tirupati , India. The Scientific World Journal, 2013, 1–6. https://doi.org/http://dx.doi.org/10.1155/2013/268623

McGovern, M., and Pasher, J. (2016). Canadian urban tree canopy cover and carbon sequestration status and change 1990–2012. Urban Forestry and Urban Greening, 20(1), 227–232. https://doi.org/10.1016/j.ufug.2016.09.002

Mekonnen, Z., Tadesse, H., Woldeamanuel, T., Asfaw, Z., and Kassa, H. (2018). Land use and land cover changes and the link to land degradation in Arsi Negele district, Central Rift Valley, Ethiopia. Remote Sensing Applications: Society and Environment, 12, 1–9. https://doi.org/10.1016/j.rsase.2018.07.012

Mudau, N., Mhangara, P., and Gebreslasie, M. (2014). Monitoring urban growth around Rustenburg, South Africa, using SPOT 5. South African Journal of Geomatics, 3(2), 185–196. https://doi.org/DOI: http://dx.doi.org/10.4314/sajg.v3i2.5

National Bureau of Statistics. (2016). Annual Abstract of Statistics (Vol. 1, Issue July).

Nigeria Population Council. (2007). Report of Nigeria’s National Population Commission on the 2006 Census. In Population and Development Review (Vol. 33, Issue 1). https://doi.org/10.2307/25434601

Nkeki, F. N. (2016). Spatio-temporal analysis of land use transition and urban growth characterization in Benin metropolitan region, Nigeria. Remote Sensing Applications: Society and Environment, 4, 119–137. https://doi.org/10.1016/j.rsase.2016.08.002

Nlend, B., Celle-Jeanton, H., Huneau, F., Ketchemen-Tandia, B., Fantong, W. Y., Boum-Nkot, S. N., and Etame, J. (2018). The impact of urban development on aquifers in large coastal cities of West Africa: Present status and future challenges. Land Use Policy, 75, 352–363. https://doi.org/10.1016/j.landusepol.2018.03.007

Nor, A. N. M., Corstanje, R., Harris, J. A., and Brewer, T. (2017). Impact of rapid urban expansion on green space structure. Ecological Indicators, 81(June), 274–284. https://doi.org/10.1016/j.ecolind.2017.05.031

Ogunjobi, K. O., Adamu, Y., Akinsanola, A. A., and Orimoloye, I. R. (2018). Spatio-temporal analysis of land use dynamics and its potential indications on land surface temperature in Sokoto Metropolis, Nigeria. Royal Society Open Science, 5(18066), 1–10. https://doi.org/10.1098/rsos.180661

Pellikka, P. K. E., Heikinheimo, V., Hietanen, J., Schäfer, E., Siljander, M., and Heiskanen, J. (2018). Impact of land cover change on aboveground carbon stocks in Afromontane landscape in Kenya. Applied Geography, 94, 178–189. https://doi.org/10.1016/j.apgeog.2018.03.017

Peng, W., Wang, G., Zhou, J., Zhao, J., and Yang, C. (2015). Studies on the temporal and spatial variations of urban expansion in Chengdu, western China, from 1978 to 2010. Sustainable Cities and Society, 17, 141–150. https://doi.org/10.1016/j.scs.2015.03.004

Pham, V. C., Pham, T. T. H., Tong, T. H. A., Nguyen, T. T. H., and Pham, N. H. (2015). The conversion of agricultural land in the peri-urban areas of Hanoi (Vietnam): patterns in space and time. Journal of Land Use Science, 10(2), 224–242. https://doi.org/10.1080/1747423X.2014.884643

Rawat, J. S., Biswas, V., and Kumar, M. (2013). Changes in land use/cover using geospatial techniques: A case study of Ramnagar town area, district Nainital, Uttarakhand, India. Egyptian Journal of Remote Sensing and Space Science, 16(1), 111–117. https://doi.org/10.1016/j.ejrs.2013.04.002

Rwanga, S. S., and Ndambuki, J. M. (2017). Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS. International Journal of Geosciences, 8, 611–622. https://doi.org/10.4236/ijg.2017.84033

Sanni, M., Odekunle, T. O., and Adesina, F. A. (2012). Climate Change and the Sustainable Use of Water Resources (W. L. Filho (ed.)). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-642-22266-5

Schneider, A., Logan, K. E., and Kucharik, C. J. (2012). Impacts of Urbanization on Ecosystem Goods and Services in the U.S. Corn Belt. Ecosystems, 15(4), 519–541. https://doi.org/10.1007/s10021-012-9519-1

Shamaki, M. A., and Dankani, I. M. (2012). Urban growth and development of the Sokoto urban area: implication for sustainable development. In D. A. Abdulrahman, I. S. Ogundiya, T. Garba, and I. M. Dankani (Eds.), 50 Years of Nigeria’s Nationhood: Issues and Challenges for Sustainable Development and (pp. 326–340). Crown F. Publishers.

Shi, X., and Xue, B. (2017). Parallelizing maximum likelihood classification on computer cluster and graphics processing unit for supervised image classification. International Journal of Digital Earth, 10(7), 737–748. https://doi.org/10.1080/17538947.2016.1251502

Sinha, P., Verma, N. K., and Ayele, E. (2016). Urban Built-up Area Extraction and Change Detection of Adama Municipal Area using Time-Series Landsat Images. International Journal of Advanced Remote Sensing and GIS, 5(1), 1886–1895. https://doi.org/10.23953/cloud.ijarsg.67

Sory, I. T., Douglas, A. S., Hsiao-chien, S., John, W., and David, L.-C. (2018). Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis. Remote Sensing of Environment, 210, 259–268. https://doi.org/10.1016/j.rse.2018.03.023

Sowmya, D. R., Deepa, S. P., and Venugopal, K. R. (2017). Remote Sensing Satellite Image Processing Techniques for Image Classification: A Comprehensive Survey. International Journal of Computer Applications, 161(11), 24–37. https://doi.org/10.5120/ijca2017913306

United Nations. (2014). World Urbanization Prospects 2014. In Demographic Research. https://doi.org/(ST/ESA/SER.A/366)

Wali, M. A. (2010). Dynamics of policy implementation in nigeria : the case of Sokoto state. iUniverse Inc.

Wang, Y. (2012). Land cover change and conservation of protected lands in urban and suburban settings. In Y. Wang (Ed.), Remote Sensing of Protected Lands (p. 588). Taylor and Francis Group.

Wezel, A., and Lykke, A. M. (2006). Woody vegetation change in Sahelian West Africa: Evidence from local knowledge. Environment, Development and Sustainability, 8(4), 553–567. https://doi.org/10.1007/s10668-006-9055-2

Wu, Y., Li, S., and Yu, S. (2016). Monitoring urban expansion and its effects on land use and land cover changes in Guangzhou city , China. Environmental Monitoring and Assessment, 2016, 188–54. https://doi.org/10.1007/s10661-015-5069-2

Wulder, M. A., Masek, J. G., Cohen, W. B., Loveland, T. R., and Woodcock, C. E. (2012). Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment, 122, 2–10. https://doi.org/10.1016/j.rse.2012.01.010

Xiaowei, Y., Wang, Z., and Wang, H. (2015). Impact of Urbanization and Land-Use Change on Surface Climate in Middle and Lower Reaches of the Yangtze River, 1988-2008. Advances in Meteorology, 2015, 1–10. https://doi.org/10.1155/2015/395094

Zhang, D., Zheng, H., He, X., Ren, Z., Zhai, C., Yu, X., Mao, Z., and Wang, P. (2016). Effects of forest type and urbanization on species composition and diversity of urban forest in Changchun, Northeast China. Urban Ecosystems, 19(1), 455–473. https://doi.org/10.1007/s11252-015-0473-5



DOI: https://doi.org/10.22146/ijg.46615

Article Metrics

Abstract views : 6452 | views : 3743

Refbacks





Copyright (c) 2020 Murtala Dangulla

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web
Analytics IJG STATISTIC