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Estimating above ground biomass in hill dipterocarp forest, Kelantan, Malaysia using Landsat 8 OLI


Article Information

Title: Estimating above ground biomass in hill dipterocarp forest, Kelantan, Malaysia using Landsat 8 OLI

Authors: N. S. Aisyah, M. F. Norashikin, B. Ibrahim, R. Rhushalshafira

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 15

Language: English

Categories

Abstract

Above ground biomass estimation for hill dipterocarp forest has received much attention in recent years because the change of biomass regionally is associated with important components of climate change. Accurate biomass estimation is necessary for better understanding of deforestation impacts on global warming and environmental degradation. This paper aims to develop allometric equations to estimate biomass in hill dipterocarp forest using satellite image Landsat 8 OLI. This study was executed in three different Permanent Reserved Forests (PRF) in Kelantan namely Bukit Bakar Recreational Forest (BB), Gunung Basor Forest Reserve (GB) and Gunung Stong Forest Reserve (GS). A total of 39 sampling plot were established. Regression analysis were used to developed several models. Model with NIR band is known to be the best model to estimate above ground biomass.


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