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Time Series Carbon Biomass Stock Alteration Analysis of Mangrove Ecosystem on Bauluang Island Using Landsat Imagery
Muh Nur Fitrah (a*), Nurjannah Nurdin (b) (d), Baharuddin Nurkin (c), Sarah Hamylton (e)

a) Environmental Management, Hasanuddin University, Jl. Perintis kemerdekaan 10, Makassar, 90245, South Sulawesi, Indonesia.
*pittokla[at]gmail.com
b) Departement of Marine Science, Hasanuddin University, Jl. Perintis kemerdekaan 10, Makassar, 90245, South Sulawesi, Indonesia.
c) Departement of Forestry, Hasanuddin University, Jl. Perintis Kemerdekaan 10, Makassar, 90245, South Sulawesi, Indonesia.
d) Research & Development Center for Marine, Coast, & Small Islands , Hasanuddin University, Jl.Perintis Kemerdekaan km.10, Makassar, 95245. Indonesia.
e) GeoQuest Research Centre, Faculty of Science, Medicine and Health, University of Wollongong, Australia


Abstract

As the largest tropical archipelago country, Indonesia has the widest mangrove forest in the world. In consequence, degradation of this ecosystem could affect global carbon equilibrium with increased amount of carbon in the atmosphere and reduced stored carbon. One of the potential methods to estimate this carbon stock alteration is by using remote sensing technology. The purpose of this study is to estimate amount of above ground carbon (AGC) that can be sequestered by mangrove forest on Bauluang Island and to identify its alteration dynamics during twenty years, using Landsat imageries. Landsat-7 ETM 1997, 2002, 2007, and Landsat-8 OLI 2013, and 2018 were used in this study. Amount of carbon at sample points were calculated based on classified NDVI value and the correlation were identified using linear regression to determine the range of carbon value. Carbon accuracy test was conducted to see the level of accuracy of carbon estimation using NDVI. The result shows increased amount of carbon every year with value of determination coefficient (R2) of 0.69, which means NDVI has significant influence on increased carbon stocks. The estimated amount of carbon stocks calculated based on NDVI value are 0-0.1 = 7.11 tons / ha, 0.1-0.2 = 39.71 tons / ha, 0.2-0.3 = 46.45 tons / ha, 0.3-0.4 = 276.14 tons / ha and> 0.4 = 764.32 tons / ha with an average estimation of 262.26 tons / ha. The dynamics of carbon stock shifting over the last twenty years has been increased and also declined. Amount of carbon estimated in 1997 is 11,808.23 tons, 27,357.73 tons in 2002, 36,786.58 tons in 2007, 108,538.91 tons in 2013, and 66,911.73 tons in 2018.

Keywords: Remote Sensing, Carbon Estimation, NDVI

Topic: Coastal and Ocean Dynamics

Link: https://ifory.id/abstract/DdxFhw49CkMU

Conference: The 2nd International Conference on Maritime Sciences and Technology (MSAT 2019)

Plain Format | Corresponding Author (MUh Nur Fitrah Fitrah)

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