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Identification and Mapping of Land Use Land Cover Variations Using Time-Series Landsat Data in MBOMIPA Wildlife Management Area

Yıl 2023, Cilt: 10 Sayı: 2, 120 - 129, 15.06.2023
https://doi.org/10.30897/ijegeo.1205791

Öz

Since the 1990s, MBOMIPA has experienced changes in land use. In this study, Landsat data were used to assess land use and land cover changes from 1997 to 2021. The processing of satellite images and evaluation of variations in land use and land cover was done using ArcGIS and ERDAS. The supervised land use classification was created using a maximum likelihood method. The findings of this study assessed the area of closed forests declined by about 186.04 ha over a period of 24 years (1997–2021), with a 14.8% annual rate of change, and 327.08 ha of open woodlands had undergone a 15.88% annual rate of change to other land use land cover types. All these conversions of woodlands were highly detected to be converted to shrubland, grassland, and bare land. With Kappa values of 0.90, 0.90, 0.83, and 0.93 for 1997, 2002, 2007, and 2021, respectively, the total supervised classification accuracy was found to be 91% for 1997, 91% for 2002, 86% for 2007, and 97% for 2021. The findings of this study will be valuable in assisting to plan and carry out of significant management strategies in order to safeguard the MBOMIPA Wildlife Management Area's rich biodiversity.

Kaynakça

  • Afify, H. A. (2011). Evaluation of change detection techniques for monitoring land-cover changes: A case study in new Burg El-Arab area. Alexandria engineering journal, 50(2), 187-195.
  • Alawamy, J. S., Balasundram, S. K., Boon Sung, C. T. (2020). Detecting and analyzing land use and land cover changes in the region of Al-Jabal Al-Akhdar, Libya using time-series landsat data from 1985 to 2017. Sustainability, 12(11), 4490.
  • Amro, I., Mateos, J., Vega, M., Molina, R., Katsaggelos, A. K. (2011). A survey of classical methods and new trends in pansharpening of multispectral images. EURASIP Journal on Advances in Signal Processing, 2011(1): 79.
  • Barnes, M. E. (2001). Effects of large herbivores and fire on the regeneration of Acacia erioloba woodlands in Chobe National Park, Botswana. African Journal of Ecology, 39(4), 340-350.
  • Barnes, R. F. W. (1983). Effects of elephant browsing on woodlands in a Tanzanian National Park: measurements, models and management. Journal of Applied Ecology, 521-539.
  • Barnes, R. F. W. (1985). Woodland changes in Ruaha National Park (Tanzania) between 1976 and 1982. African Journal of Ecology, 23(4), 215-221.
  • Boakye, E.; Odai, S.N.; Adjei, K.A.; Annor, F.O. Landsat images for assessment of the impact of land use and land cover changes on the Barekese catchment in Ghana. Eur. J. Sci. Res. 2008, 22, 269–278.
  • Bouyer, J., Bonnaire, E., Brodie, J. F., Germain, A., Wintle, B. (2021). Land-use change impacts on biodiversity: Insights from large-scale ecosystem modeling. Biological Conservation, 256, 109039.
  • Braga, F. G., May-Tobin, C., Sunderland, T., Pokorny, B. (2020). The impact of mining on tropical forest ecosystems: A review. Environmental Impact Assessment Review, 81, 106332.
  • Burak, S.; Doğan, E.; Gazioğlu, C. (2004) Impact of urbanization and tourism on coastal environment. Ocean. Coast. Manag. 47, 515–527
  • Chen, X., Zhang, C., Xu, X., Yang, Y., Li, X. (2021). Quantifying and mapping the spatiotemporal patterns of land use and land cover change in China using Landsat data from 1990 to 2015. Remote Sensing of Environment, 253, 112212.
  • Coppin, P.; Jonckheere, I.; Nackaerts, K.; Muys, B.; Lambin, E. Digital change detection methods in ecosystem monitoring: A review. Int. J. Remote Sens. 2004, 25, 1565–1596.
  • Crouzeilles, R., Ferreira, M. S., Curado, C., Loyola, R., Brancalion, P. H. S. (2021). Global restoration opportunities in tropical forests and their potential to reduce species extinction risk. Conservation Letters, 14(1), e12720.
  • El-Hattab, M.M. (2016). Applying post-classification change detection technique to monitor an Egyptian coastal zone (Abu Qir Bay). Egypt. J. Remote Sens. Space Sci. 19, 23–36
  • Fazal, S., Shabbir, R., Ullah, S. (2022). Spatiotemporal dynamics of urban expansion and land use/cover change using remote sensing and GIS in Faisalabad, Pakistan. Environmental monitoring and assessment, 194(1), 12.
  • Felix, M., Gheewala, S. H. (2011). A review of biomass energy dependency in Tanzania. Energy procedia, 9, 338-343.
  • Fleiss, J.L.; Levin, B.; Paik, M.C. (2003). The Measurement of Interrater Agreement, in Statistical Methods for Rates and Proportions. In Statistical Methods for Rates and Proportions; John Wiley Sons Inc.: Hoboken, NJ, USA, 598–626.
  • Foody, G.M. (2002). Status of land cover classification accuracy assessment. Remote Sens. Environ. 80, 185–201.
  • Gallego, F.J. (2004). Remote sensing and land cover area estimation. Int. J. Remote Sens. 25, 3019–3047. Giri, C.; Long, J.; Abbas, S.; Murali, R.M.; Qamer, F.M.; Pengra, B.; Thau, D. Distribution and dynamics of mangrove forests of South Asia. J. Environ. Manag. 2015, 148, 101–111.
  • Holdo, R. M., Holt, R. D., Fryxell, J. M. (2009). Grazers, browsers, and fire influence the extent and spatial pattern of tree cover in the Serengeti. Ecological Applications, 19(1), 95-109.
  • Islam, K., Jashimuddin, M., Nath, B., Nath, T. K. (2018). Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. The Egyptian Journal of Remote Sensing and Space Science, 21(1), 37-47.
  • Islam, K., Jasimuddin, M., Nath, B., Nath, T. K. (2016). Quantitative Assessment of Land Cover Change Using Landsat Time Series Data: Case of Chunati Wildlife Sanctuary (CWS), Bangladesh, International Journal of Environment and Geoinformatics, 3(2), 45-55.
  • John, O. (2022). Evaluation of Rainfall Extreme Characteristics in Dodoma Urban, A Central Part of Tanzania. International Journal of Environment and Geoinformatics, 9(3), 165-177.
  • Kaya, S., Gazioğlu, C., Sertel, E., Şeker, D.Z., Algancı, U., (2015). Rapid determination of land use/cover changes using data fusion. The 36th Asian Conference on Remote Sensing "Fostering Resilient Growth in Asia", Metro Manila, Filipinler, 19–23 October 2015.
  • Kija, H. K., Ogutu, J. O., Mangewa, L. J., Bukombe, J., Verones, F., Graae, B. J., ... Nzunda, E. F. (2020). Land use and land cover change within and around the greater Serengeti ecosystem, in Tanzania.
  • Kjelland, M. E., Hornback, N. B., Westover, M. K., Dunham, S. (2021). A review of remote sensing applications for natural resource management in the United States. Journal of Environmental Management, 295, 113018.
  • Krishna Bahadur, K.C. (2009). Improving Landsat and IRS image classification: Evaluation of unsupervised and supervised classification through band ratios and dem in a mountainous landscape in Nepal. Remote Sens. 1, 1257–1272.
  • Kuemmerle, T., Perzanowski, K., Chaskovskyy, O. (2011). The importance of land-cover data quality for assessing long-term changes in protected area effectiveness. Environmental Conservation, 38(2), 198-206.
  • Lillesand, T.M. Keifer, R.W. (1994), Remote Sensing and Image Interpretation.
  • Lillesand, T.M.; Kiefer, R.; Chipman, J. Remote Sensing and Image Interpretation, 6th ed.; John Wiley&Sons: New York, NJ, USA, (2008).
  • Mammo S, Kebin Z, Kidane M (2018) Retrospective analysis of land use land cover dynamics using GIS and remote sensing in central highlands of Ethiopia. Journal of Landscape Ecology 11: 31-52.
  • Mas, J. F. (1999). Monitoring land-cover changes a comparison of change detection techniques. International journal of remote sensing, 20(1), 139-152.
  • Mdete, J. (2016). Implications of wildlife management areas in biodiversity conservation and community livelihoods: A case of Mbomipa wildlife management area in Iringa, Tanzania (Master dissertation, Sokoine University of Agriculture).
  • Monela, G. C., Zahabu, E., Malimbwi, R. E., Jambiya, G., Misana, S. (2007). Socio-economics of charcoal extraction in Tanzania: A case of the eastern part of Tanzania.
  • Peacock, R. Accuracy Assessment of Supervised and Unsupervised Classification Using Landsat Imagery of Little Rock, Arkansas. Master’s Thesis, Northwest Missouri State University, Maryville, MO, USA, (2014).
  • Pons, X., Pesquer, L., Cristóbal, J., and González-Guerrero, O. (2014). Automatic and improved radiometric correction of Landsat imagery using reference values from MODIS surface reflectance images. International Journal of Applied Earth Observation and Geoinformation, 33: 243 254.
  • Preston, K. M. (2012). Fuelwood collection and consumption: a case study in Lupeta, Tanzania. Michigan Technological University.
  • Prins, H. H., van der Jeugd, H. P. (1993). Herbivore population crashes and woodland structure in East Africa. Journal of Ecology, 305-314.
  • Ren, P.; Zhang, X.; Liang, H.; Meng, Q. (2019). Assessing the Impact of Land Cover Changes on Surface Urban Heat Islands with High-Spatial-Resolution Imagery on a Local Scale: Workflow and Case Study. Sustainability 11, 5188.
  • Reynolds, K. M., Brouwer, J. T., Roy, S. (2020). Remote sensing and GIS for ecosystem services valuation. Ecosystem Services, 42, 101076.
  • Settele, J., Scholes, R., Betts, R., Bunn, S., Leadley, P., Nepstad, D., Overpeck, J. T., Taboada, M. A. (2019). Terrestrial and inland water systems. In H. O. Pörtner, D. C. Roberts, V. Masson-Delmotte, P. Zhai, M. Tignor, E. Poloczanska, K. Mintenbeck, A. Alegría, M. Nicolai, A. Okem, J. Petzold, B. Rama, N. Weyer (Eds.), IPCC special report on the ocean and cryosphere in a changing climate (435-523). Cambridge University Press. Sosovele, H., Ngwale, J. J. (2002). Socio-economic root causes of the loss of biodiversity in the Ruaha catchment area, WWF-Tanzania. 42.
  • SWECO (1985). Mtera Reservoir, Report of Ecology of a new man-made Lake in Tanzania.
  • TANAPA (1997). Ruaha National Park; General Management Plan. 5th Draft. 8pp
  • Van de Koppel, J., Prins, H. H. (1998). The importance of herbivore interactions for the dynamics of African savanna woodlands: a hypothesis. Journal of tropical ecology, 14(5), 565-576.
  • Van Langevelde, F., Van De Vijver, C. A., Kumar, L., Van De Koppel, J., De Ridder, N., Van Andel, J., ... Rietkerk, M. (2003). Effects of fire and herbivory on the stability of savanna ecosystems. Ecology, 84(2), 337-350.
  • Wilkie, D. S., Shaw, E., Rotberg, F., Morelli, G., Auzel, P., Game, J. (2016). Roadmap for promoting sustainable mining in the Congo Basin. Conservation and Society, 14(3), 218-226.
  • Young, N. E., Anderson, R. S., Chignell, S. M., Vorster, A. G., Lawrence, R., Evangelista, P. H. (2017). A survival guide to Landsat preprocessing. Ecology, 98 (4): 920-932.
  • Yuan, H., Zhang, C., Lu, D., Chen, Y. (2019). Land use and land cover change detection in China with improved efficiency and effectiveness using time series DNB/VIIRS data. Remote Sensing of Environment, 221, 580-595.
Yıl 2023, Cilt: 10 Sayı: 2, 120 - 129, 15.06.2023
https://doi.org/10.30897/ijegeo.1205791

Öz

Kaynakça

  • Afify, H. A. (2011). Evaluation of change detection techniques for monitoring land-cover changes: A case study in new Burg El-Arab area. Alexandria engineering journal, 50(2), 187-195.
  • Alawamy, J. S., Balasundram, S. K., Boon Sung, C. T. (2020). Detecting and analyzing land use and land cover changes in the region of Al-Jabal Al-Akhdar, Libya using time-series landsat data from 1985 to 2017. Sustainability, 12(11), 4490.
  • Amro, I., Mateos, J., Vega, M., Molina, R., Katsaggelos, A. K. (2011). A survey of classical methods and new trends in pansharpening of multispectral images. EURASIP Journal on Advances in Signal Processing, 2011(1): 79.
  • Barnes, M. E. (2001). Effects of large herbivores and fire on the regeneration of Acacia erioloba woodlands in Chobe National Park, Botswana. African Journal of Ecology, 39(4), 340-350.
  • Barnes, R. F. W. (1983). Effects of elephant browsing on woodlands in a Tanzanian National Park: measurements, models and management. Journal of Applied Ecology, 521-539.
  • Barnes, R. F. W. (1985). Woodland changes in Ruaha National Park (Tanzania) between 1976 and 1982. African Journal of Ecology, 23(4), 215-221.
  • Boakye, E.; Odai, S.N.; Adjei, K.A.; Annor, F.O. Landsat images for assessment of the impact of land use and land cover changes on the Barekese catchment in Ghana. Eur. J. Sci. Res. 2008, 22, 269–278.
  • Bouyer, J., Bonnaire, E., Brodie, J. F., Germain, A., Wintle, B. (2021). Land-use change impacts on biodiversity: Insights from large-scale ecosystem modeling. Biological Conservation, 256, 109039.
  • Braga, F. G., May-Tobin, C., Sunderland, T., Pokorny, B. (2020). The impact of mining on tropical forest ecosystems: A review. Environmental Impact Assessment Review, 81, 106332.
  • Burak, S.; Doğan, E.; Gazioğlu, C. (2004) Impact of urbanization and tourism on coastal environment. Ocean. Coast. Manag. 47, 515–527
  • Chen, X., Zhang, C., Xu, X., Yang, Y., Li, X. (2021). Quantifying and mapping the spatiotemporal patterns of land use and land cover change in China using Landsat data from 1990 to 2015. Remote Sensing of Environment, 253, 112212.
  • Coppin, P.; Jonckheere, I.; Nackaerts, K.; Muys, B.; Lambin, E. Digital change detection methods in ecosystem monitoring: A review. Int. J. Remote Sens. 2004, 25, 1565–1596.
  • Crouzeilles, R., Ferreira, M. S., Curado, C., Loyola, R., Brancalion, P. H. S. (2021). Global restoration opportunities in tropical forests and their potential to reduce species extinction risk. Conservation Letters, 14(1), e12720.
  • El-Hattab, M.M. (2016). Applying post-classification change detection technique to monitor an Egyptian coastal zone (Abu Qir Bay). Egypt. J. Remote Sens. Space Sci. 19, 23–36
  • Fazal, S., Shabbir, R., Ullah, S. (2022). Spatiotemporal dynamics of urban expansion and land use/cover change using remote sensing and GIS in Faisalabad, Pakistan. Environmental monitoring and assessment, 194(1), 12.
  • Felix, M., Gheewala, S. H. (2011). A review of biomass energy dependency in Tanzania. Energy procedia, 9, 338-343.
  • Fleiss, J.L.; Levin, B.; Paik, M.C. (2003). The Measurement of Interrater Agreement, in Statistical Methods for Rates and Proportions. In Statistical Methods for Rates and Proportions; John Wiley Sons Inc.: Hoboken, NJ, USA, 598–626.
  • Foody, G.M. (2002). Status of land cover classification accuracy assessment. Remote Sens. Environ. 80, 185–201.
  • Gallego, F.J. (2004). Remote sensing and land cover area estimation. Int. J. Remote Sens. 25, 3019–3047. Giri, C.; Long, J.; Abbas, S.; Murali, R.M.; Qamer, F.M.; Pengra, B.; Thau, D. Distribution and dynamics of mangrove forests of South Asia. J. Environ. Manag. 2015, 148, 101–111.
  • Holdo, R. M., Holt, R. D., Fryxell, J. M. (2009). Grazers, browsers, and fire influence the extent and spatial pattern of tree cover in the Serengeti. Ecological Applications, 19(1), 95-109.
  • Islam, K., Jashimuddin, M., Nath, B., Nath, T. K. (2018). Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. The Egyptian Journal of Remote Sensing and Space Science, 21(1), 37-47.
  • Islam, K., Jasimuddin, M., Nath, B., Nath, T. K. (2016). Quantitative Assessment of Land Cover Change Using Landsat Time Series Data: Case of Chunati Wildlife Sanctuary (CWS), Bangladesh, International Journal of Environment and Geoinformatics, 3(2), 45-55.
  • John, O. (2022). Evaluation of Rainfall Extreme Characteristics in Dodoma Urban, A Central Part of Tanzania. International Journal of Environment and Geoinformatics, 9(3), 165-177.
  • Kaya, S., Gazioğlu, C., Sertel, E., Şeker, D.Z., Algancı, U., (2015). Rapid determination of land use/cover changes using data fusion. The 36th Asian Conference on Remote Sensing "Fostering Resilient Growth in Asia", Metro Manila, Filipinler, 19–23 October 2015.
  • Kija, H. K., Ogutu, J. O., Mangewa, L. J., Bukombe, J., Verones, F., Graae, B. J., ... Nzunda, E. F. (2020). Land use and land cover change within and around the greater Serengeti ecosystem, in Tanzania.
  • Kjelland, M. E., Hornback, N. B., Westover, M. K., Dunham, S. (2021). A review of remote sensing applications for natural resource management in the United States. Journal of Environmental Management, 295, 113018.
  • Krishna Bahadur, K.C. (2009). Improving Landsat and IRS image classification: Evaluation of unsupervised and supervised classification through band ratios and dem in a mountainous landscape in Nepal. Remote Sens. 1, 1257–1272.
  • Kuemmerle, T., Perzanowski, K., Chaskovskyy, O. (2011). The importance of land-cover data quality for assessing long-term changes in protected area effectiveness. Environmental Conservation, 38(2), 198-206.
  • Lillesand, T.M. Keifer, R.W. (1994), Remote Sensing and Image Interpretation.
  • Lillesand, T.M.; Kiefer, R.; Chipman, J. Remote Sensing and Image Interpretation, 6th ed.; John Wiley&Sons: New York, NJ, USA, (2008).
  • Mammo S, Kebin Z, Kidane M (2018) Retrospective analysis of land use land cover dynamics using GIS and remote sensing in central highlands of Ethiopia. Journal of Landscape Ecology 11: 31-52.
  • Mas, J. F. (1999). Monitoring land-cover changes a comparison of change detection techniques. International journal of remote sensing, 20(1), 139-152.
  • Mdete, J. (2016). Implications of wildlife management areas in biodiversity conservation and community livelihoods: A case of Mbomipa wildlife management area in Iringa, Tanzania (Master dissertation, Sokoine University of Agriculture).
  • Monela, G. C., Zahabu, E., Malimbwi, R. E., Jambiya, G., Misana, S. (2007). Socio-economics of charcoal extraction in Tanzania: A case of the eastern part of Tanzania.
  • Peacock, R. Accuracy Assessment of Supervised and Unsupervised Classification Using Landsat Imagery of Little Rock, Arkansas. Master’s Thesis, Northwest Missouri State University, Maryville, MO, USA, (2014).
  • Pons, X., Pesquer, L., Cristóbal, J., and González-Guerrero, O. (2014). Automatic and improved radiometric correction of Landsat imagery using reference values from MODIS surface reflectance images. International Journal of Applied Earth Observation and Geoinformation, 33: 243 254.
  • Preston, K. M. (2012). Fuelwood collection and consumption: a case study in Lupeta, Tanzania. Michigan Technological University.
  • Prins, H. H., van der Jeugd, H. P. (1993). Herbivore population crashes and woodland structure in East Africa. Journal of Ecology, 305-314.
  • Ren, P.; Zhang, X.; Liang, H.; Meng, Q. (2019). Assessing the Impact of Land Cover Changes on Surface Urban Heat Islands with High-Spatial-Resolution Imagery on a Local Scale: Workflow and Case Study. Sustainability 11, 5188.
  • Reynolds, K. M., Brouwer, J. T., Roy, S. (2020). Remote sensing and GIS for ecosystem services valuation. Ecosystem Services, 42, 101076.
  • Settele, J., Scholes, R., Betts, R., Bunn, S., Leadley, P., Nepstad, D., Overpeck, J. T., Taboada, M. A. (2019). Terrestrial and inland water systems. In H. O. Pörtner, D. C. Roberts, V. Masson-Delmotte, P. Zhai, M. Tignor, E. Poloczanska, K. Mintenbeck, A. Alegría, M. Nicolai, A. Okem, J. Petzold, B. Rama, N. Weyer (Eds.), IPCC special report on the ocean and cryosphere in a changing climate (435-523). Cambridge University Press. Sosovele, H., Ngwale, J. J. (2002). Socio-economic root causes of the loss of biodiversity in the Ruaha catchment area, WWF-Tanzania. 42.
  • SWECO (1985). Mtera Reservoir, Report of Ecology of a new man-made Lake in Tanzania.
  • TANAPA (1997). Ruaha National Park; General Management Plan. 5th Draft. 8pp
  • Van de Koppel, J., Prins, H. H. (1998). The importance of herbivore interactions for the dynamics of African savanna woodlands: a hypothesis. Journal of tropical ecology, 14(5), 565-576.
  • Van Langevelde, F., Van De Vijver, C. A., Kumar, L., Van De Koppel, J., De Ridder, N., Van Andel, J., ... Rietkerk, M. (2003). Effects of fire and herbivory on the stability of savanna ecosystems. Ecology, 84(2), 337-350.
  • Wilkie, D. S., Shaw, E., Rotberg, F., Morelli, G., Auzel, P., Game, J. (2016). Roadmap for promoting sustainable mining in the Congo Basin. Conservation and Society, 14(3), 218-226.
  • Young, N. E., Anderson, R. S., Chignell, S. M., Vorster, A. G., Lawrence, R., Evangelista, P. H. (2017). A survival guide to Landsat preprocessing. Ecology, 98 (4): 920-932.
  • Yuan, H., Zhang, C., Lu, D., Chen, Y. (2019). Land use and land cover change detection in China with improved efficiency and effectiveness using time series DNB/VIIRS data. Remote Sensing of Environment, 221, 580-595.
Toplam 48 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Çevre Bilimleri, Fotogrametri ve Uzaktan Algılama
Bölüm Research Articles
Yazarlar

Solomon Sembosi 0000-0003-1814-2835

Yayımlanma Tarihi 15 Haziran 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 10 Sayı: 2

Kaynak Göster

APA Sembosi, S. (2023). Identification and Mapping of Land Use Land Cover Variations Using Time-Series Landsat Data in MBOMIPA Wildlife Management Area. International Journal of Environment and Geoinformatics, 10(2), 120-129. https://doi.org/10.30897/ijegeo.1205791