The Open UniversitySkip to content
 

Evaluating land use and aboveground biomass dynamics in an oil palm–dominated landscape in Borneo using optical remote sensing

Singh, Minerva; Malhi, Yadvinder and Bhagwat, Shonil (2014). Evaluating land use and aboveground biomass dynamics in an oil palm–dominated landscape in Borneo using optical remote sensing. Journal of Applied Remote Sensing, 8(1), article no. 083695.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1117/1.JRS.8.083695
Google Scholar: Look up in Google Scholar

Abstract

The focus of this study is to assess the efficacy of using optical remote sensing (RS) in evaluating disparities in forest composition and aboveground biomass (AGB). The research was carried out in the East Sabah region, Malaysia, which constitutes a disturbance gradient ranging from pristine old growth forests to forests that have experienced varying levels of disturbances. Additionally, a significant proportion of the area consists of oil palm plantations. In accordance with local laws, riparian forest (RF) zones have been retained within oil palm plantations and other forest types. The RS imagery was used to assess forest stand structure and AGB. Band reflectance, vegetation indicators, and gray-level co-occurrence matrix (GLCM) consistency features were used as predictor variables in regression analysis. Results indicate that the spectral variables were limited in their effectiveness in differentiating between forest types and in calculating biomass. However, GLCM based variables illustrated strong correlations with the forest stand structures as well as with the biomass of the various forest types in the study area. The present study provides new insights into the efficacy of texture examination methods in differentiating between various land-use types (including small, isolated forest zones such as RFs) as well as their AGB stocks.

Item Type: Journal Item
Copyright Holders: 2014 The Authors.
ISSN: 1931-3195
Keywords: rainforests; Landsat; gray-level co-occurrence matrix; oil palm plantation; aboveground biomass
Academic Unit/School: Faculty of Arts and Social Sciences (FASS) > Social Sciences and Global Studies > Geography
Faculty of Arts and Social Sciences (FASS) > Social Sciences and Global Studies
Faculty of Arts and Social Sciences (FASS)
Research Group: OpenSpace Research Centre (OSRC)
International Development & Inclusive Innovation
Item ID: 39349
Depositing User: Shonil Bhagwat
Date Deposited: 30 Jan 2014 13:21
Last Modified: 18 Sep 2019 04:42
URI: http://oro.open.ac.uk/id/eprint/39349
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU