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Carbon Stocks Mapping of Mangrove Forest in North Buton Indonesia using Combination of Landsat and ALOS PALSAR Images in the Perspective of Climate Change Mitigation
Golok Jaya L.O.M.a, Yamin M.a, Ningrum I.P.a, Safani J.a, Wikantika K.b
a Faculty of Engineering, Universitas Halu Oleo (UHO), Kampus Hijau UHO Bumi Tridharma Anduonohu Kendari, South East Sulawesi, Indonesia
b Center for Remote Sensing, Institut Teknologi Bandung (ITB), Faculty of Earth Science and Technology, ITB, Bandung, West Java, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© Published under licence by IOP Publishing Ltd.Mapping of carbon stocks, distribution and its changes become one of the important strategies in climate change mitigation. This study aims to map the carbon stocks of mangrove forests and analyze the changes using a combination of Landsat and ALOS PALSAR images in North Buton, South East Sulawesi Province, Indonesia. Carbon stocks in mangrove forests are known stores several times more than forests in the mainland. Mangrove forest at coast of North Buton is one of the largest area of mangrove forest in south east Sulawesi. The research conducted using backscatter coefficient of HH and HV polarization from ALOS PALSAR and Normalized Difference Vegetation Index (NDVI) from Landsat. The results showed that Landsat image provided information about the distribution, density and change of the carbon stocks during year 2001-2017 while ALOS PALSAR provided the volume of carbon stocks in this region.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]This research is part of the research on the application of radar and optical remote sensing images for carbon mapping in the context of disaster mitigation and climate change in Southeast Sulawesi, Indonesia. Thank you to the Directorate of Research and Community Service (DRPM) of the Directorate General of Research and Development (Dirjen Risbang) of the Ministry of Research and Higher Education of the Republic of Indonesia who funded this research through the Halu Oleo University Applied Research Grant in 2018/2019.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1757-899X/797/1/012014[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]