Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria

Fanan Ujoh; Muhammad Mamman Alhassan; Frederick Terkuma Ujoh

doi:doi:10.11648/j.ajep.20140303.12

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Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria

Fanan Ujoh, Muhammad Mamman Alhassan, Frederick Terkuma Ujoh

Published in American Journal of Environmental Protection (Volume 3, Issue 3)

Received: 15 May 2014 Accepted: 4 June 2014 Published: 10 June 2014

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Abstract

Limestone mining and cement production at Yandev, Nigeria commenced in 1980 without an environmental impact assessment (EIA) to ascertain the extent of impact these activities could bring to bear on the physical and living conditions of the host environment. This study was carried out to assess the impact that mining of limestone and production of cement has inflicted on the quality and density of vegetation within the study area about 32 years since production commenced. Multi-temporal satellite imageries of the study area (Landsat for 1976, 1986, 1996 and Nigeriasat-1 for 2006), ILWIS Academia 3.3 and SPSS Version 15 were used for data analyses. Landuse and landcover (LULC) change detection; land surface temperature (LST) extraction; and normalized differentials of vegetation index (NDVI) estimation were carried out. The paired t-test was used for landcover data analysis. The study discovered first, that LULC changes occurred with built-up area increasing from 0.05 km2 in 1976 to 1.51 km2 by 2006, thus representing the landcover category with the highest gain. Conversely, thick vegetation declined from 4.30 km2 in 1976 to 1.51 km2 in 2006. Thick vegetation category lost to all other landcover categories while gaining only 0.07 from water bodies. The projected LULC of the study area by 2015 reveal an expected expansion in built-up area from 1.51 km2 in 2006 to 1.90 km2 by 2015, whereas thick vegetation is expected to further decline from 1.51 km2 in 2006 to 0.80 km2 by 2015. Second, the LST have risen over the study epochs (1976, 1986 and 1996) while NDVI signifies decline in quality and health status of vegetation cover over the study period (1986, 1996 and 2006). The study concludes that there is rapid decline in density and quality of vegetation cover within the study area. Ameliorative measures are recommended to include reforestation and improvement in limestone mining methods/techniques amongst others.

Published in	American Journal of Environmental Protection (Volume 3, Issue 3)
DOI	10.11648/j.ajep.20140303.12
Page(s)	113-121
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

LULC, Change Detection, Change Prediction, LST, NDVI, Sustainability

References

[1]	Fagbeja, M.A. (2002) Mapping the Incidences of Chronic Bronchitis and Bronchopneumonia and Verification of High Risk Areas Using GIS. Unpublished M.Sc. Dissertation, Department of Geo-graphy, University of Ibadan, Nigeria.
[2]	Fashona, M.J. & Omojola, A.S. (2005) Climate Change, Human Security and Communal Clashes in Nigeria. Int’l Workshop on Human Security and Climate Change, Oslo, Norway, June 21-23, 2005. Available On-line at http://www.gechs.org/downloads/holmen/fasona_omojola.pdf Accessed February 7, 2008
[3]	Clevers, J., Bartholomeus, H., Müchers, S. & de Witt, A. (2004) Land Cover Classifi-cation with the Medium Resolution Imaging Spectrometer (MERIS). EARSeL eProceedings 3.
[4]	Verburg, P.H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V., & Mastura, S.S.A., (2002) Modelling the Spatial Dynamics of Landuse: The CLUE-S Model. Environmental Management Vol. 30, No. 3. pp 391-405. Available On-line at http://www.aginternetwork.net/whalecommwww.sciencedirect.com/whalecom0/ Accessed April 13, 2008
[5]	Verburg, P.H., Schot, P., Dijst, M., & Veldkamp, A. (2004) Landuse Change Modelling: Current Practices and Research Priorities. Geo Journal Vol. 51, No. 4, pp. 309-324. Available On-line at http://www.aginternetwork.net/whalecommwww.sciencedirect.com/whalecom0/ Accessed April 13, 2008
[6]	Lambin, E.F., Geist, J.H. & Lepers. E. (2003) Dynamics of Land use and Land cover in Tropical Regions. Annual Review of Environmental Resources, 28:205-241. Available On-line at http://www.aginternetwork.net/whalecomarjournals.annualreviews.org/whalecom0/doi/pdf/10.1146/annurev.energy.28.050302.105459 Accessed August 3, 2008
[7]	Muzein, B.S. (2006) Remote Sensing and GIS for Landcover/Landuse Change Detection and Analysis in the Semi-Natural Ecosystem and Agriculture Landscapes of the Central Ethiopian Rift Valley. A Ph.D Thesis Submitted to Technische Universität Dresden, Fakultät Forst- Geo- und Hydrowissenschaften Institut für Photogrammetrie und Fernerkundung. Available On-line at http://hsss.slub-dresden.de/documents/1173870635741-9841/1173870635741-9841.pdf Ac-cessed July 31, 2008
[8]	Ifatimehin, O.O. & Musa, S.D. (2008) “Application of Geoinformatic Technology in Evaluating Urban Agriculture and Urban Poverty in Lokoja. Nigeria Journal of Geo-graphy and Environment, Vol. 1, pp. 21-23
[9]	Ujoh, F. (2009) Estimating Urban Agricultural Land Loss in Makurdi, Nigeria Using Remote Sensing and GIS Techniques. M.Sc Dissertation, De-partment of Geography and Environmental Management, University of Abuja, Nige-ria
[10]	Desanker, P.V., Frost, P.G.H., Justice, C.O. & Scholes, R.J. (1997) The Miombo Network: Framework for a Terrestrial Transect Study of Landuse and Landcover Change in the Miombo Ecosystems of Central Africa. In: Fashona, M.J. and Omojola, A.S. Climate Change, Human Securi-ty and Communal Clashes in Nigeria. Int’l Workshop on Human Security and Climate Change, Oslo, Norway. June 21-23. Available On-line at http://www.gechs.org/downloads/holmen/fasona_omojola.pdf Accessed February 7, 2008
[11]	Őzbakir, B.A., Bayram, B., Acar, U., Uzar, M., Baz, I. & Karaz, I.R. (2007) Synergy between Shoreline Change Detection and Social Profile of Waterfront Zones: A Case Study in Istan-bul. Conference Paper at the International Conference for Photogrammetry and Remote Sensing, Istanbul, Turkey. 16-18 May. Available On-line at http://www.isprs2007ist.itu.edu.tr/38.pdf Ac-cessed January 18 2010.
[12]	Mengistu, D.A. & Salami, A.T. (2007). “Application of Remote Sensing and GIS in Land Use/Land Cover Mapping and Change Detection in a Part of South-Western Nigeria”. African Journal of Environmental Science and Technology Vol. 1, Np. 5, pp. 099-109
[13]	Ojanuga, A.G. & Ekwoanya, M.A. (1994) Temporal Changes in Landuse Pattern in the Benue River Flood Plain and Adjoining Uplands at Makurdi, Nigeria. Available On-line at http://horizon.documentation.ird.fr/exl-doc/ Accessed June 14, 2008
[14]	National Me-teorological Agency NIMET, (2012). Climatic Data. Retrieved from NIMET Office, Makurdi, Nige-ria.
[15]	Fagbami, A. & Akamigbo, F.O.R. (1986) The Soils of Benue State and their Capabilities. Proceedings of the 14th Annual Conference of Soil Science Society of Nigeria, Makurdi, Nige-ria.
[16]	Lal R. (1983) Soil erosion and its relation to productivity in Tropical Soils. Malma Aina Conf. Honolulu, Hawaii, 16-22 January 1983.
[17]	Anderson, J.R., Hardy, E.E., Roach, J.T. & Witmer, R.E (1976) A Land Use and Land Cover Classification System for Use with Remote Sensor Data. Geological Survey Professional Paper No. 964, U.S. Government Printing Office, Washington, D.C.
[18]	Pickett, S.T.A., Cadenasso, M.L., Grove, J.M., Nikon, C.H., Pouyat, E.V., Zipperer, W.C. & Constanza, B. (2001). “Urban ecological systems: Linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas”. Annual Review of Ecology and Systematics, Vol. 32, pp. 127-157.
[19]	Ifatimehin, O.O. (2007). “An Assessment of Urban Heat Island of Lokoja Town and Surroundings using LandSat ETM Data”. FUTY Journal of Environment, Vol. 2, No. 1, pp. 100–109
[20]	Ifatimehin, O.O., Ujoh, F. & Magaji, J.Y. (2009) “An Evaluation of the Effect of Land use/Land cover Change on the Surface Temperature of Lokoja Town, Nigeria”. African Journal of Environmental Science and Technology, Vol.3, No.3, pp. 086-090
[21]	Wubet, M.T. (2003). Estimation of Absolute Surface Temperature by Satellite Remote Sensing, Unpublished M.Sc Thesis, International Institute for Geoinformation Science and Earth Observation, Nether-lands.
[22]	Weng, Q; Lu, D.G. & Schubring, J. (2004). Estimation of Land Surface Tempear-ture-Vegetation Abundance Relationship for Urban Heat Island Studies. Remote Sensing of the Environment, Vol. 89, pp. 467-483
[23]	Diamandi, A., Oancea, S. & Alecu, C. (2010) “Analysis of the Land Surface Temperature Estimated from Different Satellite Sensors over Romania”. Ro-manian Reports in Physics, Vol.62, No. 1, pp. 185-192
[24]	Carson, T. N., Gillies, R. R. & Perry, E. M. (1994). A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. Remote Sensing Reviews, 9, 161– 173.
[25]	Gillies, R. R., Carlson, T. N., Cui, J., Kustas, W. P., & Humes, K. S. (1997). A Verification of the ‘Triangle’ Method for obtaining Surface Soil Water Content and Energy Fluxes from Remote Measurements of the Normalized Difference Vegetation Index (NDVI) and Surface Radiant Temperature. International Journal of Remote Sensing, Vol. 18, pp. 3145– 3166
[26]	Goward, S. N., Xue, Y., & Czajkowski, K. P. (2002). Evaluating Land Surface Moisture Conditions from the Remotely Sensed Temperature/Vegetation Index Measurements: An Exploration with the Simplified Simple Biosphere Model. Remote Sensing of Environment, Vol. 79, pp. 225– 242.
[27]	Boegh, E., Soegaard, H., Hanan, N., Kabat, P., & Lesch, L. (1998). ‘A Remote Sensing Study of the NDVI–Ts Relationship and the Transpiration from Sparse Vegetation in the Sahel based on High Resolution Satellite Data’. Remote Sensing of Environment, 69, 224– 240.
[28]	Tucker, C.J., Vanpraet, C.L., Sharman, M.J. & Van Ittersum, G. (1985). Satellite Remote Sensing of Total Dry Matter Production in the Senegalese Sahel. Remote Sensing of the Environment, Vol. 17, pp. 233-249.
[29]	Holme, A.McR., Burnside, D.G. & Mitchell, A.A. (1987). The development of a system for monitoring trend in range condition in the arid shrub lands of Western Australia. Australian Rangeland Journal Vol. 9, pp. 14-20.

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APA Style

Fanan Ujoh, Muhammad Mamman Alhassan, Frederick Terkuma Ujoh. (2014). Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria. American Journal of Environmental Protection, 3(3), 113-121. https://doi.org/10.11648/j.ajep.20140303.12

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ACS Style

Fanan Ujoh; Muhammad Mamman Alhassan; Frederick Terkuma Ujoh. Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria. Am. J. Environ. Prot. 2014, 3(3), 113-121. doi: 10.11648/j.ajep.20140303.12

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AMA Style

Fanan Ujoh, Muhammad Mamman Alhassan, Frederick Terkuma Ujoh. Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria. Am J Environ Prot. 2014;3(3):113-121. doi: 10.11648/j.ajep.20140303.12

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@article{10.11648/j.ajep.20140303.12,
  author = {Fanan Ujoh and Muhammad Mamman Alhassan and Frederick Terkuma Ujoh},
  title = {Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria},
  journal = {American Journal of Environmental Protection},
  volume = {3},
  number = {3},
  pages = {113-121},
  doi = {10.11648/j.ajep.20140303.12},
  url = {https://doi.org/10.11648/j.ajep.20140303.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20140303.12},
  abstract = {Limestone mining and cement production at Yandev, Nigeria commenced in 1980 without an environmental impact assessment (EIA) to ascertain the extent of impact these activities could bring to bear on the physical and living conditions of the host environment. This study was carried out to assess the impact that mining of limestone and production of cement has inflicted on the quality and density of vegetation within the study area about 32 years since production commenced. Multi-temporal satellite imageries of the study area (Landsat for 1976, 1986, 1996 and Nigeriasat-1 for 2006), ILWIS Academia 3.3 and SPSS Version 15 were used for data analyses. Landuse and landcover (LULC) change detection; land surface temperature (LST) extraction; and normalized differentials of vegetation index (NDVI) estimation were carried out. The paired t-test was used for landcover data analysis. The study discovered first, that LULC changes occurred with built-up area increasing from 0.05 km2 in 1976 to 1.51 km2 by 2006, thus representing the landcover category with the highest gain. Conversely, thick vegetation declined from 4.30 km2 in 1976 to 1.51 km2 in 2006. Thick vegetation category lost to all other landcover categories while gaining only 0.07 from water bodies. The projected LULC of the study area by 2015 reveal an expected expansion in built-up area from 1.51 km2 in 2006 to 1.90 km2 by 2015, whereas thick vegetation is expected to further decline from 1.51 km2 in 2006 to 0.80 km2 by 2015. Second, the LST have risen over the study epochs (1976, 1986 and 1996) while NDVI signifies decline in quality and health status of vegetation cover over the study period (1986, 1996 and 2006). The study concludes that there is rapid decline in density and quality of vegetation cover within the study area. Ameliorative measures are recommended to include reforestation and improvement in limestone mining methods/techniques amongst others.},
 year = {2014}
}

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TY  - JOUR
T1  - Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria
AU  - Fanan Ujoh
AU  - Muhammad Mamman Alhassan
AU  - Frederick Terkuma Ujoh
Y1  - 2014/06/10
PY  - 2014
N1  - https://doi.org/10.11648/j.ajep.20140303.12
DO  - 10.11648/j.ajep.20140303.12
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 113
EP  - 121
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20140303.12
AB  - Limestone mining and cement production at Yandev, Nigeria commenced in 1980 without an environmental impact assessment (EIA) to ascertain the extent of impact these activities could bring to bear on the physical and living conditions of the host environment. This study was carried out to assess the impact that mining of limestone and production of cement has inflicted on the quality and density of vegetation within the study area about 32 years since production commenced. Multi-temporal satellite imageries of the study area (Landsat for 1976, 1986, 1996 and Nigeriasat-1 for 2006), ILWIS Academia 3.3 and SPSS Version 15 were used for data analyses. Landuse and landcover (LULC) change detection; land surface temperature (LST) extraction; and normalized differentials of vegetation index (NDVI) estimation were carried out. The paired t-test was used for landcover data analysis. The study discovered first, that LULC changes occurred with built-up area increasing from 0.05 km2 in 1976 to 1.51 km2 by 2006, thus representing the landcover category with the highest gain. Conversely, thick vegetation declined from 4.30 km2 in 1976 to 1.51 km2 in 2006. Thick vegetation category lost to all other landcover categories while gaining only 0.07 from water bodies. The projected LULC of the study area by 2015 reveal an expected expansion in built-up area from 1.51 km2 in 2006 to 1.90 km2 by 2015, whereas thick vegetation is expected to further decline from 1.51 km2 in 2006 to 0.80 km2 by 2015. Second, the LST have risen over the study epochs (1976, 1986 and 1996) while NDVI signifies decline in quality and health status of vegetation cover over the study period (1986, 1996 and 2006). The study concludes that there is rapid decline in density and quality of vegetation cover within the study area. Ameliorative measures are recommended to include reforestation and improvement in limestone mining methods/techniques amongst others.
VL  - 3
IS  - 3
ER  -

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Author Information

Fanan Ujoh

Department of Urban and Regional Planning, Benue State University, Makurdi, Nigeria
Muhammad Mamman Alhassan

Department of Geography and Environmental Management, University of Abuja, Abuja, Nigeria
Frederick Terkuma Ujoh

Faculty of Agriculture, University of Port-Harcourt, Choba, Nigeria

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APA Style

Fanan Ujoh, Muhammad Mamman Alhassan, Frederick Terkuma Ujoh. (2014). Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria. American Journal of Environmental Protection, 3(3), 113-121. https://doi.org/10.11648/j.ajep.20140303.12

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ACS Style

Fanan Ujoh; Muhammad Mamman Alhassan; Frederick Terkuma Ujoh. Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria. Am. J. Environ. Prot. 2014, 3(3), 113-121. doi: 10.11648/j.ajep.20140303.12

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AMA Style

Fanan Ujoh, Muhammad Mamman Alhassan, Frederick Terkuma Ujoh. Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria. Am J Environ Prot. 2014;3(3):113-121. doi: 10.11648/j.ajep.20140303.12

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@article{10.11648/j.ajep.20140303.12,
  author = {Fanan Ujoh and Muhammad Mamman Alhassan and Frederick Terkuma Ujoh},
  title = {Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria},
  journal = {American Journal of Environmental Protection},
  volume = {3},
  number = {3},
  pages = {113-121},
  doi = {10.11648/j.ajep.20140303.12},
  url = {https://doi.org/10.11648/j.ajep.20140303.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20140303.12},
  abstract = {Limestone mining and cement production at Yandev, Nigeria commenced in 1980 without an environmental impact assessment (EIA) to ascertain the extent of impact these activities could bring to bear on the physical and living conditions of the host environment. This study was carried out to assess the impact that mining of limestone and production of cement has inflicted on the quality and density of vegetation within the study area about 32 years since production commenced. Multi-temporal satellite imageries of the study area (Landsat for 1976, 1986, 1996 and Nigeriasat-1 for 2006), ILWIS Academia 3.3 and SPSS Version 15 were used for data analyses. Landuse and landcover (LULC) change detection; land surface temperature (LST) extraction; and normalized differentials of vegetation index (NDVI) estimation were carried out. The paired t-test was used for landcover data analysis. The study discovered first, that LULC changes occurred with built-up area increasing from 0.05 km2 in 1976 to 1.51 km2 by 2006, thus representing the landcover category with the highest gain. Conversely, thick vegetation declined from 4.30 km2 in 1976 to 1.51 km2 in 2006. Thick vegetation category lost to all other landcover categories while gaining only 0.07 from water bodies. The projected LULC of the study area by 2015 reveal an expected expansion in built-up area from 1.51 km2 in 2006 to 1.90 km2 by 2015, whereas thick vegetation is expected to further decline from 1.51 km2 in 2006 to 0.80 km2 by 2015. Second, the LST have risen over the study epochs (1976, 1986 and 1996) while NDVI signifies decline in quality and health status of vegetation cover over the study period (1986, 1996 and 2006). The study concludes that there is rapid decline in density and quality of vegetation cover within the study area. Ameliorative measures are recommended to include reforestation and improvement in limestone mining methods/techniques amongst others.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Multi-Temporal Change Detection at a Limestone Mining and Cement Production Facility in Central Nigeria
AU  - Fanan Ujoh
AU  - Muhammad Mamman Alhassan
AU  - Frederick Terkuma Ujoh
Y1  - 2014/06/10
PY  - 2014
N1  - https://doi.org/10.11648/j.ajep.20140303.12
DO  - 10.11648/j.ajep.20140303.12
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 113
EP  - 121
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20140303.12
AB  - Limestone mining and cement production at Yandev, Nigeria commenced in 1980 without an environmental impact assessment (EIA) to ascertain the extent of impact these activities could bring to bear on the physical and living conditions of the host environment. This study was carried out to assess the impact that mining of limestone and production of cement has inflicted on the quality and density of vegetation within the study area about 32 years since production commenced. Multi-temporal satellite imageries of the study area (Landsat for 1976, 1986, 1996 and Nigeriasat-1 for 2006), ILWIS Academia 3.3 and SPSS Version 15 were used for data analyses. Landuse and landcover (LULC) change detection; land surface temperature (LST) extraction; and normalized differentials of vegetation index (NDVI) estimation were carried out. The paired t-test was used for landcover data analysis. The study discovered first, that LULC changes occurred with built-up area increasing from 0.05 km2 in 1976 to 1.51 km2 by 2006, thus representing the landcover category with the highest gain. Conversely, thick vegetation declined from 4.30 km2 in 1976 to 1.51 km2 in 2006. Thick vegetation category lost to all other landcover categories while gaining only 0.07 from water bodies. The projected LULC of the study area by 2015 reveal an expected expansion in built-up area from 1.51 km2 in 2006 to 1.90 km2 by 2015, whereas thick vegetation is expected to further decline from 1.51 km2 in 2006 to 0.80 km2 by 2015. Second, the LST have risen over the study epochs (1976, 1986 and 1996) while NDVI signifies decline in quality and health status of vegetation cover over the study period (1986, 1996 and 2006). The study concludes that there is rapid decline in density and quality of vegetation cover within the study area. Ameliorative measures are recommended to include reforestation and improvement in limestone mining methods/techniques amongst others.
VL  - 3
IS  - 3
ER  -

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