Forest Cover Change Analysis Using Remote Sensing Techniques in Madhupur Sal Forest of Bangladesh

Authors

  • MA Salam Geology Division, SPARRSO, Agargaon, Sher-e-Bangla Nagar, Dhaka-1207
  • MAT Pramanik Forestry Division, SPARRSO, Agargaon, Sher-e-Bangla Nagar, Dhaka-1207

DOI:

https://doi.org/10.3329/jesnr.v10i2.39015

Keywords:

Forest transformation, Landsat MSS/OLI, Madhupur Sal forest, Remote sensing

Abstract

Deforestation, degradation, damages, transformation and over exploitation of forests are the common problem in different parts of the world. Timely monitoring and assessment of forest resources may help to address and identify the above mentioned problems and thus proper guidance may be given the forest resources manager for rational planning and management of forests. Apart from the conventional methods of forest monitoring, remote sensing with its unique capability of synoptic viewing, real time and repetitive nature offers a potential tool for monitoring and evaluation of forest resources and hence remote sensing technology has been successfully used in various studies like forest inventory, monitoring of forest cover changes and forest damage assessment. In the present research forest cover change analysis in ‘Madhupur Sal Forest’ located in central part of Bangladesh has been investigated using satellite remote sensing data and spatial analysis. Transformation of ‘Sal forest’ to other landuse has been studied using the Landsat MSS (Multi Spectral Scanner) data of 1973 and Landsat 8 OLI (Operational Land Imager) data of 2015. Driving forces behind the transformation of ‘Sal forest’ has also been investigated through GPS (Global Positioning System) based ground verification and interview with the people living in the locality.

J. Environ. Sci. & Natural Resources, 10(2): 73-78 2017

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Published

2018-11-29

How to Cite

Salam, M., & Pramanik, M. (2018). Forest Cover Change Analysis Using Remote Sensing Techniques in Madhupur Sal Forest of Bangladesh. Journal of Environmental Science and Natural Resources, 10(2), 73–78. https://doi.org/10.3329/jesnr.v10i2.39015

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