Earticle

초록

영어

Satchari National Park is one of the most biodiverse forest in Bangladesh and home of many endangered flora and fauna. 206 tons of CO2 per hectare is sequestrated in this national park every year which helps to mitigate climate issues. As people living near the area are dependent on this forest, degradation has become a regular phenomenon destroying the forest biodiversity by altering its forest cover. So, it is important to map land cover quickly and accurately for the sustainable management of Satchari National Park. The main objective of this study was to obtain information on land cover change using remote sensing data. Combination of unsupervised NDVI classification and supervised classification using maximum likelihood is followed in this study to find out land cover map. The analysis showed that the land cover is gradually converting from one land use type to another. Dense forest becoming degraded forest or bare land. Although it was slowed down by the establishment of ‘National Park’ on the study site, forecasting shows that it is not enough to mitigate forest degradation. Legal steps and proper management strategies should be taken to mitigate causes of degradation such as illegal felling.

목차

Abstract
Introduction
Materials and Methods
Study area
Satellite image acquisition
Methodology
Results
Accuracy assessment
Summary statistics of land cover in SNP
Land cover forecast
Discussion
Conclusion
Acknowledgements
References

키워드

저자

• Kazi Mohammad Masum [ Department of Forestry and Environmental Science, Shahjalal University of Science & Technology, Sylhet 3114, Bangladesh ]
• Md. Mehedi Hasan [ Department of Forestry and Environmental Science, Shahjalal University of Science & Technology, Sylhet 3114, Bangladesh ] Corresponding Author

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