Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)

Forum Geografi

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Field Value
 
Title Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)
 
Creator Jaya, Laode M Golok
Wikantika, Ketut
Sambodo, Katmoko Ari
Susandi, Armi
 
Subject
Temporal Decorrelation; Coherency; Polinsar; Alos Palsar

 
Description This paper was aimed to analyse the effect of temporal decorrelation in carbon stocks estimation. Estimation of carbon stocks plays important roles particularly to understand the global carbon cycle in the atmosphere regarding with climate change mitigation effort. PolInSAR technique combines the advantages of Polarimetric Synthetic Aperture Radar (PolSAR) and Interferometry Synthetic Aperture Radar (InSAR) technique, which is evidenced to have significant contribution in radar mapping technology in the last few years. In carbon stocks estimation, PolInSAR provides information about vertical vegetation structure to estimate carbon stocks in the forest layers. Two coherence Synthetic Aperture Radar (SAR) images of ALOS PALSAR full-polarimetric with 46 days temporal baseline were used in this research. The study was carried out in Southeast Sulawesi tropical forest. The research method was by comparing three interferometric phase coherence images affected by temporal decorrelation and their impacts on Random Volume over Ground (RvoG) model. This research showed that 46 days temporal baseline has a significant impact to estimate tree heights of the forest cover where the accuracy decrease from R2=0.7525 (standard deviation of tree heights is 2.75 meters) to R2=0.4435 (standard deviation 4.68 meters) and R2=0.3772 (standard deviation 3.15 meters) respectively. However, coherence optimisation can provide the best coherence image to produce a good accuracy of carbon stocks.  
 
Publisher Universitas Muhammadiyah Surakarta
 
Contributor Japan Aerospace and Exploration Agency (JAXA)
 
Date 2017-07-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
text/html
 
Identifier http://journals.ums.ac.id/index.php/fg/article/view/2518
10.23917/forgeo.v31i1.2518
 
Source Forum Geografi; Vol 31, No 1 (2017): July 2017; 99 - 107
2460-3945
0852-0682
 
Language eng
 
Relation http://journals.ums.ac.id/index.php/fg/article/view/2518/3294
http://journals.ums.ac.id/index.php/fg/article/view/2518/2832
 
Coverage


 
Rights Copyright (c) 2017 Laode Muh. Golok Jaya
http://creativecommons.org/licenses/by-nc-nd/4.0
 

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