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
Abstract
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’ Info
Authors’ address
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
Paper Info
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
Copyright Information
© SISEF - The Italian Society of Silviculture and Forest Ecology 2018
Open Access
This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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References
Community report: Jhalokati Zila, July 2013, Population and housing census 2011. Bangladesh Bureau of Statistics, Dhaka, Bangladesh, pp. 245.
Gscholar
Trees outside the forest: towards rural and urban integrated resources management. Working Paper, FAO, Rome, pp. 40.
Gscholar
Village forest inventory of Bangladesh: inventory results. Field document no. 5, UNDP/FAO Project BGD/78/020, FAO, Dhaka, Bangladesh, pp. 59.
Gscholar
Inventory of trees in nonforest areas in the Great Plains States. In: Proceedings of the Symposium “FIA-2008, Forest inventory and analysis” (McWilliams W, Moisen G, Czaplewski R eds). Park City (UT, USA) 21-23 Oct 2008. RMRS-P-56CD, Rocky Mountain Research Station, USDA Forest Service, Fort Collins, CO, USA, CD#1.
Gscholar
Estimation of trees outside forests using IRS high resolution data by object based image analysis. In: Proceedings of the Symposium “ISPRS technical commission VIII”. Hyderabad (India) 9-12 Dec 2014. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8: 623-629.
CrossRef | Gscholar
Training manual on inventory of trees outside forest (TOF). FAO Regional Office for Asia and the Pacific, Bangkok, Thailand, pp. 39.
Gscholar
Use of Landsat and Corona data for mapping forest cover change from the mid-1960s to 2000s: case studies from the Eastern United States and Central Brazil. ISPRS Journal of Photogrammetry and Remote Sensing 103: 81-92.
CrossRef | Gscholar