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The use of multi-temporal Landsat normalized difference vegetation index (NDVI) data for assessing forest cover change of Lawarchara National Park

Author

Listed:
  • Md. Ashraful Islam

    (North South University)

  • Abdun Naqib Jimmy

    (North South University)

  • Md. Sajadul Alam

    (North South University)

  • Nazmul Ahsan Khan

    (North South University)

Abstract

Lawachara National Park (LNP) is one of the most renowned protected areas in Bangladesh and a natural habitat of critically endangered Hoolock gibbon. The study's purpose was to assess the long-term change of forest cover using the Normalized Difference Vegetation Index (NDVI) technique and evaluate the impact of co-management. Landsat images acquired from the USGS glovis website were used to assess forest cover change using NDVI, a popular technique for identification and estimation of forest areas. NDVI value ranges from (− 1) to (+ 1); a negative value indicates non-vegetated areas including water bodies, road surfaces, settlements, etc., whereas a positive value near (+ 1) indicates the highest density vegetation. NDVI value (0) indicates bare land without vegetation. Based on NDVI values, the forest areas have been divided into four categories, namely: (1) very low or no vegetation area, (2) low-density vegetation area, (3) moderate-density vegetation area, and (4) dense vegetation area. A household survey was carried out among the people living in the adjacent villages to LNP. The study of assessing the forest cover change of LNP using remotely sensed data revealed that, after the initiation of co-management, the dense vegetation area increased by 8.62% in 2006 compared to 2001, but it decreased by 0.77% in 2014. In 2018, dense vegetation decreased by 3.86% relative to the dense vegetation area of 2014. If it is compared as a whole, it can be said that the forest cover has improved under co-management, and the household survey revealed that forest dependence has been reduced which might be considered as one of the reasons for forest cover improvement. However, more improvement can be achieved by focusing on the villages where forest dependence is still high. Betel leaf cultivation inside the forest area is creating a problem for wildlife and also hampering the natural composition of flora. Therefore, it is recommended to rehabilitate betel leaf cultivators outside the forest area with proper compensation. This will harness the full potentiality of the co-management practice, it needs complete monitoring and goodwill from every stakeholder, and hence it will bring good for the whole country.

Suggested Citation

  • Md. Ashraful Islam & Abdun Naqib Jimmy & Md. Sajadul Alam & Nazmul Ahsan Khan, 2021. "The use of multi-temporal Landsat normalized difference vegetation index (NDVI) data for assessing forest cover change of Lawarchara National Park," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17702-17722, December.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:12:d:10.1007_s10668-021-01408-x
    DOI: 10.1007/s10668-021-01408-x
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    References listed on IDEAS

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    1. Islam, Kazi Nazrul & Rahman, Mohammad Mahfuzur & Jashimuddin, Mohammed & Hossain, Mohammad Mosharraf & Islam, Kamrul & Faroque, Mohiuddin Al, 2019. "Analyzing multi-temporal satellite imagery and stakeholders' perceptions to have an insight into how forest co-management is changing the protected area landscapes in Bangladesh," Forest Policy and Economics, Elsevier, vol. 101(C), pages 70-80.
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