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Monitoring of changes in woodlots outside forests by multi-temporal Landsat imagery

M Mahmudur Rahman   , M Shafiqul Islam, M Abu Taleb Pramanik

iForest - Biogeosciences and Forestry, Volume 11, Issue 1, Pages 162-170 (2018)
doi: https://doi.org/10.3832/ifor2021-010
Published: Feb 19, 2018 - Copyright © 2018 SISEF

Research Articles


Woodlots outside forests play a significant role in diversifying household income, reducing poverty, supplying timber and fuel-wood, and regulating the local environment in many countries with low forest cover. This study aimed to develop a method for delineating the spatial footprint of woodlots outside forests and assessing their changes over time. The test site was located in the Jhalokati District of south-western Bangladesh, one of the world’s most densely populated regions. Landsat images from 2010 were classified using a supervised method. Woodlots were extracted, converted to vector layers, and manually edited. The overall accuracy of the 2010 land cover map was 87%-89%. A change vector layer was generated by further updating of the vector layer by overlaying a 1989 Landsat image. The total coverage of woodlots in the district increased between 1989 and 2010, from 19.638 ha (27%) to 27.836 ha (39%). The study identified two primary reasons for changes in woodlot coverage: (i) woodlot expansion associated with the population growth and establishment of new households; and (ii) conversion of cropland to orchards because of economic reasons. The results will improve understanding of the spatial distribution of woodlot coverage in the study area and their dynamics over time.

  Keywords


Woodlot, Trees Outside Forests (TOF), Landsat, Change, Mapping

Authors’ address

(1)
M Mahmudur Rahman
M Shafiqul Islam
M Abu Taleb Pramanik
Forestry Division, Bangladesh Space Research and Remote Sensing Organization, Agargaon, Sher-E-Bangla Nagar, 1207, Dhaka (Bangladesh)

Corresponding author

 
M Mahmudur Rahman
mahmud@sparrso.gov.bd

Citation

Rahman MM, Islam MS, Pramanik MAT (2018). Monitoring of changes in woodlots outside forests by multi-temporal Landsat imagery. iForest 11: 162-170. - doi: 10.3832/ifor2021-010

Academic Editor

Luca Salvati

Paper history

Received: Feb 21, 2016
Accepted: Nov 23, 2017

First online: Feb 19, 2018
Publication Date: Feb 28, 2018
Publication Time: 2.93 months

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