Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia

Hailu Wondu

doi:doi:10.11648/j.ijema.20210901.12

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Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia

Hailu Wondu

Published in International Journal of Environmental Monitoring and Analysis (Volume 9, Issue 1)

Received: 12 October 2020 Accepted: 2 November 2020 Published: 10 March 2021

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Abstract

Forest cover dynamics is a critical global problem that affects the socio-economic and ecological function of forest landscape in the globe The Earth's forest cover is continuously altered by several climatological and anthropogenic factors. And its change influence world carbon cycle and biodiversity pool at local, regional and global scale. Lume district in Ethiopia is one of potential area that has important socio-economic and ecological function. Currently, despite their contribution to both economic and ecological services forests of Lume district are under serious streak both from anthropogenic and natural calamities. Hence, the fundamental aim of this study is to investigate the magnitude, trend and rate of forest cover change for the last 33 years (1985-2018). Quantitative data was collected using Landsat5 TM and Landsat8 OLI_TIRS satellite image, which used to define the spatial and temporal changes. SCP, QGIS 2.18.2, MOLUSCE and EXCEL were used for processing and analyzing data obtained from satellite image (https://earthexplorer.usgs.gov/). Four period Landsat image data of 1985, 1999, 2013 and 2018 were used to produce land cover map in general and forest cover map in particular. The finding of the study depicted that, during 33 years period agriculture land and urban building increased by 728ha (10.82%), 1547.92ha (21.39%) respectively with equivalent decline of 3887ha (5.37%) forestland and 17502.55ha (24.2%) shrub land. Throughout the study periods, steady net increasing rate of expansions observed for urban buildings and agriculture land by 468.8ha and 237.27ha/annual, whereas, a net decline rate noted for scrublands and forests by 530.38ha and 117.8ha/year. The main findings of this study disclosed that, a resume increase in agriculture land and urban buildings and settlements at the expense of forests and shrub lands throughout investigated periods. Hence, in order to revoke the problem of forest cover change and its impact, proper measures had been forwarded which can be implemented both in the long and short-term commitment of anxious stakeholders in the district and national level.

Published in	International Journal of Environmental Monitoring and Analysis (Volume 9, Issue 1)
DOI	10.11648/j.ijema.20210901.12
Page(s)	11-20
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), 2021. Published by Science Publishing Group

Keywords

Remote Sensing, Accuracy, Geographic Information System, Molusce, Satellite Image

References

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[2]	Rashid, B., Iqbal, J., 2018. Spatiotemporal Change Detection in Forest Cover Dynamics along Landslide Susceptible Region of Karakoram Highway, Pakistan. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4, 177–184. https://doi.org/10.5194/isprs-annals-IV-3-177.
[3]	Zewdie, W. and Csaplovies, E., 2015. Remote sensing based multi-temporal land cover classification and change detection in northwestern Ethiopia. European Journal of Remote Sensing, 48 (1), pp. 121-139.
[4]	FAO, 2015. Global Forest Resource Assessment. Desk Reference.
[5]	Halefom, A., Teshome, A., Sisay, E. and Ahmad, I., 2018. Dynamics of Land Use and Land Cover Change Using Remote Sensing and GIS: A Case Study of Debre Tabor Town, South Gondar, Ethiopia. Journal of Geographic Information System, 10 (02), p. 165.
[6]	Lillesand, T., Kiefer, R. W. and Chipman, J., 2014. Remote sensing and image interpretation. John Wiley & Sons K. Elissa, “Title of paper if known,” unpublished.
[7]	Tymków, P., 2009. Application of photogrammetric and remote sensing methods for identification of resistance coefficients of high water flow in river valleys. Monografie (Poland).
[8]	Alemu, B., Garedew, E., Eshetu, Z. and Kassa, H., 2015. Land use and land cover changes and associated driving forces in north western lowlands of Ethiopia. Int. Res. J. Agric. Sci. Soil Sci, 5 (1), pp. 28-44
[9]	Molla, M. B., 2015. Land use/land cover dynamics in the central rift valley region of Ethiopia: Case of Arsi Negele District. African Journal of Agricultural Research, 10 (5), pp. 434-449.
[10]	Meshesha, T. W., Tripathi, S. K. and Khare, D., 2016. Analyses of land use and land cover change dynamics using GIS and remote sensing during 1984 and 2015 in the Beressa Watershed Northern Central Highland of Ethiopia. Modeling Earth Systems and Environment, 2 (4), pp. 1-12.
[11]	Hosonuma, N., Herold, M., De Sy, V., De Fries, R. S., Brockhaus, M., Verchot, L., Angelsen, A. and Romijn, E., 2012. An assessment of deforestation and forest degradation drivers in developing countries. Environmental Research Letters, 7 (4), p. 044009.
[12]	Eshetu, A. A., 2014. Forest resource management systems in Ethiopia: Historical perspective. International Journal of Biodiversity and Conservation, 6 (2), pp. 121-131.
[13]	Yismaw, A., Gedif, B., Addisu, S. and Zewudu, F., 2014. Forest cover change detection using remote sensing and GIS in Banja district, Amhara region, Ethiopia. International Journal of Environmental Monitoring and Analysis, 2 (6), p. 354.
[14]	Tolosa, A. T., 2018. Evaluating the Dynamics of Land Use/Land Cover Change Using GIS and Remote Sensing Data in Case of Yewoll Watershed, Blue Nile Basin, Ethiopia.
[15]	Lucas, I. F. J., Janssen, F. and van der Wel, F. J., 1994. Accuracy assessment of satellite derived land cover data: A review. Photogrammetric Engineering & Remote Sensing, 60 (4), pp. 426-479.

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Hailu Wondu. (2021). Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia. International Journal of Environmental Monitoring and Analysis, 9(1), 11-20. https://doi.org/10.11648/j.ijema.20210901.12

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ACS Style

Hailu Wondu. Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia. Int. J. Environ. Monit. Anal. 2021, 9(1), 11-20. doi: 10.11648/j.ijema.20210901.12

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AMA Style

Hailu Wondu. Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia. Int J Environ Monit Anal. 2021;9(1):11-20. doi: 10.11648/j.ijema.20210901.12

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@article{10.11648/j.ijema.20210901.12,
  author = {Hailu Wondu},
  title = {Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia},
  journal = {International Journal of Environmental Monitoring and Analysis},
  volume = {9},
  number = {1},
  pages = {11-20},
  doi = {10.11648/j.ijema.20210901.12},
  url = {https://doi.org/10.11648/j.ijema.20210901.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20210901.12},
  abstract = {Forest cover dynamics is a critical global problem that affects the socio-economic and ecological function of forest landscape in the globe The Earth's forest cover is continuously altered by several climatological and anthropogenic factors. And its change influence world carbon cycle and biodiversity pool at local, regional and global scale. Lume district in Ethiopia is one of potential area that has important socio-economic and ecological function. Currently, despite their contribution to both economic and ecological services forests of Lume district are under serious streak both from anthropogenic and natural calamities. Hence, the fundamental aim of this study is to investigate the magnitude, trend and rate of forest cover change for the last 33 years (1985-2018). Quantitative data was collected using Landsat5 TM and Landsat8 OLI_TIRS satellite image, which used to define the spatial and temporal changes. SCP, QGIS 2.18.2, MOLUSCE and EXCEL were used for processing and analyzing data obtained from satellite image (https://earthexplorer.usgs.gov/). Four period Landsat image data of 1985, 1999, 2013 and 2018 were used to produce land cover map in general and forest cover map in particular. The finding of the study depicted that, during 33 years period agriculture land and urban building increased by 728ha (10.82%), 1547.92ha (21.39%) respectively with equivalent decline of 3887ha (5.37%) forestland and 17502.55ha (24.2%) shrub land. Throughout the study periods, steady net increasing rate of expansions observed for urban buildings and agriculture land by 468.8ha and 237.27ha/annual, whereas, a net decline rate noted for scrublands and forests by 530.38ha and 117.8ha/year. The main findings of this study disclosed that, a resume increase in agriculture land and urban buildings and settlements at the expense of forests and shrub lands throughout investigated periods. Hence, in order to revoke the problem of forest cover change and its impact, proper measures had been forwarded which can be implemented both in the long and short-term commitment of anxious stakeholders in the district and national level.},
 year = {2021}
}

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TY  - JOUR
T1  - Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia
AU  - Hailu Wondu
Y1  - 2021/03/10
PY  - 2021
N1  - https://doi.org/10.11648/j.ijema.20210901.12
DO  - 10.11648/j.ijema.20210901.12
T2  - International Journal of Environmental Monitoring and Analysis
JF  - International Journal of Environmental Monitoring and Analysis
JO  - International Journal of Environmental Monitoring and Analysis
SP  - 11
EP  - 20
PB  - Science Publishing Group
SN  - 2328-7667
UR  - https://doi.org/10.11648/j.ijema.20210901.12
AB  - Forest cover dynamics is a critical global problem that affects the socio-economic and ecological function of forest landscape in the globe The Earth's forest cover is continuously altered by several climatological and anthropogenic factors. And its change influence world carbon cycle and biodiversity pool at local, regional and global scale. Lume district in Ethiopia is one of potential area that has important socio-economic and ecological function. Currently, despite their contribution to both economic and ecological services forests of Lume district are under serious streak both from anthropogenic and natural calamities. Hence, the fundamental aim of this study is to investigate the magnitude, trend and rate of forest cover change for the last 33 years (1985-2018). Quantitative data was collected using Landsat5 TM and Landsat8 OLI_TIRS satellite image, which used to define the spatial and temporal changes. SCP, QGIS 2.18.2, MOLUSCE and EXCEL were used for processing and analyzing data obtained from satellite image (https://earthexplorer.usgs.gov/). Four period Landsat image data of 1985, 1999, 2013 and 2018 were used to produce land cover map in general and forest cover map in particular. The finding of the study depicted that, during 33 years period agriculture land and urban building increased by 728ha (10.82%), 1547.92ha (21.39%) respectively with equivalent decline of 3887ha (5.37%) forestland and 17502.55ha (24.2%) shrub land. Throughout the study periods, steady net increasing rate of expansions observed for urban buildings and agriculture land by 468.8ha and 237.27ha/annual, whereas, a net decline rate noted for scrublands and forests by 530.38ha and 117.8ha/year. The main findings of this study disclosed that, a resume increase in agriculture land and urban buildings and settlements at the expense of forests and shrub lands throughout investigated periods. Hence, in order to revoke the problem of forest cover change and its impact, proper measures had been forwarded which can be implemented both in the long and short-term commitment of anxious stakeholders in the district and national level.
VL  - 9
IS  - 1
ER  -

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Author Information

Hailu Wondu

Department of Forest and Range Land Plant Biodiversity, Ethiopian Biodiversity Institute, Addis Ababa, Ethiopia

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Hailu Wondu. (2021). Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia. International Journal of Environmental Monitoring and Analysis, 9(1), 11-20. https://doi.org/10.11648/j.ijema.20210901.12

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ACS Style

Hailu Wondu. Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia. Int. J. Environ. Monit. Anal. 2021, 9(1), 11-20. doi: 10.11648/j.ijema.20210901.12

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AMA Style

Hailu Wondu. Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia. Int J Environ Monit Anal. 2021;9(1):11-20. doi: 10.11648/j.ijema.20210901.12

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@article{10.11648/j.ijema.20210901.12,
  author = {Hailu Wondu},
  title = {Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia},
  journal = {International Journal of Environmental Monitoring and Analysis},
  volume = {9},
  number = {1},
  pages = {11-20},
  doi = {10.11648/j.ijema.20210901.12},
  url = {https://doi.org/10.11648/j.ijema.20210901.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20210901.12},
  abstract = {Forest cover dynamics is a critical global problem that affects the socio-economic and ecological function of forest landscape in the globe The Earth's forest cover is continuously altered by several climatological and anthropogenic factors. And its change influence world carbon cycle and biodiversity pool at local, regional and global scale. Lume district in Ethiopia is one of potential area that has important socio-economic and ecological function. Currently, despite their contribution to both economic and ecological services forests of Lume district are under serious streak both from anthropogenic and natural calamities. Hence, the fundamental aim of this study is to investigate the magnitude, trend and rate of forest cover change for the last 33 years (1985-2018). Quantitative data was collected using Landsat5 TM and Landsat8 OLI_TIRS satellite image, which used to define the spatial and temporal changes. SCP, QGIS 2.18.2, MOLUSCE and EXCEL were used for processing and analyzing data obtained from satellite image (https://earthexplorer.usgs.gov/). Four period Landsat image data of 1985, 1999, 2013 and 2018 were used to produce land cover map in general and forest cover map in particular. The finding of the study depicted that, during 33 years period agriculture land and urban building increased by 728ha (10.82%), 1547.92ha (21.39%) respectively with equivalent decline of 3887ha (5.37%) forestland and 17502.55ha (24.2%) shrub land. Throughout the study periods, steady net increasing rate of expansions observed for urban buildings and agriculture land by 468.8ha and 237.27ha/annual, whereas, a net decline rate noted for scrublands and forests by 530.38ha and 117.8ha/year. The main findings of this study disclosed that, a resume increase in agriculture land and urban buildings and settlements at the expense of forests and shrub lands throughout investigated periods. Hence, in order to revoke the problem of forest cover change and its impact, proper measures had been forwarded which can be implemented both in the long and short-term commitment of anxious stakeholders in the district and national level.},
 year = {2021}
}

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TY  - JOUR
T1  - Forest Cover Dynamics Detection in Lume District, Oromia Region, Central Ethiopia
AU  - Hailu Wondu
Y1  - 2021/03/10
PY  - 2021
N1  - https://doi.org/10.11648/j.ijema.20210901.12
DO  - 10.11648/j.ijema.20210901.12
T2  - International Journal of Environmental Monitoring and Analysis
JF  - International Journal of Environmental Monitoring and Analysis
JO  - International Journal of Environmental Monitoring and Analysis
SP  - 11
EP  - 20
PB  - Science Publishing Group
SN  - 2328-7667
UR  - https://doi.org/10.11648/j.ijema.20210901.12
AB  - Forest cover dynamics is a critical global problem that affects the socio-economic and ecological function of forest landscape in the globe The Earth's forest cover is continuously altered by several climatological and anthropogenic factors. And its change influence world carbon cycle and biodiversity pool at local, regional and global scale. Lume district in Ethiopia is one of potential area that has important socio-economic and ecological function. Currently, despite their contribution to both economic and ecological services forests of Lume district are under serious streak both from anthropogenic and natural calamities. Hence, the fundamental aim of this study is to investigate the magnitude, trend and rate of forest cover change for the last 33 years (1985-2018). Quantitative data was collected using Landsat5 TM and Landsat8 OLI_TIRS satellite image, which used to define the spatial and temporal changes. SCP, QGIS 2.18.2, MOLUSCE and EXCEL were used for processing and analyzing data obtained from satellite image (https://earthexplorer.usgs.gov/). Four period Landsat image data of 1985, 1999, 2013 and 2018 were used to produce land cover map in general and forest cover map in particular. The finding of the study depicted that, during 33 years period agriculture land and urban building increased by 728ha (10.82%), 1547.92ha (21.39%) respectively with equivalent decline of 3887ha (5.37%) forestland and 17502.55ha (24.2%) shrub land. Throughout the study periods, steady net increasing rate of expansions observed for urban buildings and agriculture land by 468.8ha and 237.27ha/annual, whereas, a net decline rate noted for scrublands and forests by 530.38ha and 117.8ha/year. The main findings of this study disclosed that, a resume increase in agriculture land and urban buildings and settlements at the expense of forests and shrub lands throughout investigated periods. Hence, in order to revoke the problem of forest cover change and its impact, proper measures had been forwarded which can be implemented both in the long and short-term commitment of anxious stakeholders in the district and national level.
VL  - 9
IS  - 1
ER  -

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