2-s2.0-85019117019

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[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]© 2017 by CESER PUBLICATIONS.Carbon stocks in forest becomes key parameter to study climate change and its impact to human being and environment. Today, the advancement technology in remote sensing leads to obtain carbon stocks information with minimum uncertainty. Radar remote sensing technology is used to overcome problem regarding cloud cover or meteorological condition which cannot be avoided using optical remote sensor. Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) is one of the most recent technique to estimate carbon stocks. This paper was aimed to estimate tropical forest carbon stocks in Southeast Sulawesi Indonesia using PolInSAR technique. Two coherence Synthetic Aperture Radar (SAR) images of ALOS PALSAR full-polarimetric were proceed to produce coherence interferogram. The pair images have 46 days temporal baseline. The research method is modeling of Random Volume over Ground (RVoG) from interferometric phase coherence of two ALOS PALSAR full-polarimetric. To minimize temporal decorrelation due to temporal baseline, coherence optimization was conducted to produce the optimum coherence of interferogram. The final process is forest height inversion to produce the forest height map. The forest height obtained from height model has a good correlation with ground measurement. Using allometric model, the carbon stocks volume in the study area lies between 110 to 2001 hr1.[/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]ALOS PALSAR,Carbon Stocks,PolInSAR,Tropical Forest[/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]We would like thanks to Professor M. Shimada from Japan Aerospace and Exploration Agency (JAXA) who provided ALOS PALSAR Full-Polarimetric data that used in this research. Also thanks to our colleagues at Faculty of Forestry Halu Oleo University for conducting field survey. We also thank to Directorate General Research and Development of Indonesia Ministry of Research, Technology and Higher Education who provided grant for this research (Hibah Desentralisasi 2016-2017).[/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][/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]