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Forest degradation monitoring and assessment of biomass in Harenna Buluk District, Bale Zone, Ethiopia: a geospatial perspective

  • Dinku Shiferaw
  • K. V. SuryabhagavanEmail author
Research Article
  • 3 Downloads

Abstract

Forest is one of the major natural resources which play a vital role in maintaining the ecological balance of nature. Detection of forest degradation with remote sensing remains a challenging field of study. Over exploitation of forest resources has resulted in the depletion of the extent and quality forests resources. The present study was undertaken to monitor deforestation, forest degradation, and biomass estimation using remote sensing and GIS technology in Harenna Buluk District in Ethiopia. Supervised classification technique was applied to landsat images of 1995, 2005 and 2016. Satellite images were classified into different land-use/land-cover classes using maximum likelihood algorithm with the aid of field observations and Google Earth. Forest degradation was assessed using object-based image analysis from Sentinel-2A satellite image. Results of this study have revealed that during 1995–2005 and 2005–2016, forest and shrubland areas were decreased by 119.2 km2 (6.19%) and 12.1 km2 (0.62%), respectively. The extent of farmland, bareland, grassland, settlement and water body were increased by 99.94 km2 (5.19%), 43.11 km2 (2.24%), 75.78 km2 (3.94%), 20.54 km2 (1.06%) and 6.93 km2 (0.36%), respectively. As a result, the biomass dramatically decreased. The normalized difference vegetation index (NDVI) value decreased significantly during 1995−2016 indicating that the vegetation cover in the study area was highly disturbed. The estimated degradation during the year 2016 was 145.91 km2 (7.58%), while deforestation accounted for 171.39 km2 (8.91%) of the total study area. Thus, advanced satellite images are useful to monitor forest cover and degradation processes of natural habitats in the context of human related impacts.

Keywords

Biomass Forest degradation GIS OBIA Remote sensing Sentinel-2A 

Notes

Acknowledgements

We are thankful to the School of Earth Sciences, Addis Ababa University for support, facilities and funds. We are also grateful to the National Metrological Agency and Oromia Forest and Wildlife Enterprise for providing necessary data to support this study. We are indebted to Mr. Sultan Mohammed, Director General of the Ethiopian Mapping Agency for his generosity to sponsor the first author for higher studies in Remote Sensing and Geoinformatics.

Compliance with ethical standards

Conflict of interest

None to declare.

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Copyright information

© International Society for Tropical Ecology 2019

Authors and Affiliations

  1. 1.School of Earth SciencesAddis Ababa UniversityAddis AbabaEthiopia

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