Earticle

초록

영어

The objectives of this study were to assess and quantify afforestation and forest restoration in the village called Zighb for the year 2000 and 2018. Landsat TM (2000) and Landsat 8 OLI (2018) imagery data were gathered to evaluate the forestland cover change and the significance of afforestation program in Zighb. Supervised classification method using ENVI and GIS software was applied to extract, classify and analyze the imagery data into different land-use cover. In addition, field work, map of the study area from Ministry of Agriculture (MoA), unsupervised techniques, high resolution Google Earth image, and vegetation indexes such as Normalized Difference Vegetation Index (NDVI), and Soil Adjusted Vegetation Index (SAVI), were applied to develop signatures and enhance accuracy of classification. Relatively, the image classification accuracy is high where overall accuracy was circa 85.83% and 82.42% in 2000 and 2018, respectively. The results revealed that evidence of forest restoration was identified in the study area because of afforestation and forestry programs. The afforested land grew by about 3.7% between 2000 and 2018. However, irrigational land and natural vegetation are observed to decline by approximately 2.72% and 0.86%, respectively, as the farmland fell by circa 1.92% between 2000 and 2018. In addition, the bare lands are also decreased by circa 4.02%, possibly due to afforestation and forestry activities, expansion of building (2.41%). Therefore, this study provides useful information for decision making such as developing suitable policy for forest restoration using more appropriate afforestation and forestry programs. Moreover, it might be important for future studies.

목차

Abstract
Introduction
Study area
Materials and Methods
Landsat data collection
Pre-processing of landsat images
Normalized difference vegetation index (NDVI)
Soil adjusted vegetation index (SAVI)
Unsupervised classification
Classification methods
Accuracy assessment
Results
Land cover change assessment
Land use change detection
Classification accuracy assessment
NDVI assessment
Discussion
Conclusion
Acknowledgements
References

키워드

저자

• Mihretab G. Ghebrezgabher [ Department of Geography, Faculty of Social Sciences, College of Education and Language Studies, Adi Keih 59, Eritrea ] Corresponding Author
• Awet Tekie [ Department of Geography, Faculty of Social Sciences, College of Education and Language Studies, Adi Keih 59, Eritrea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Journal of Forest and Environmental Science [산림과학연구]

• 간기

  계간

• pISSN

  2288-9744

• eISSN

  2288-9752

• 수록기간

  1981~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 526 DDC 634