Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)
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 ad...
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doaj-080056d20e4e4f448259d3153788d0412020-11-25T00:06:33ZengMuhammadiyah University PressForum Geografi0852-06822460-39452017-07-0131110.23917/forgeo.v31i1.25182815Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)Laode M Golok Jaya0Ketut Wikantika1Katmoko Ari Sambodo2Armi Susandi3Faculty of Engineering, Halu Oleo University, IndonesiaRemote Sensing Research Division, Bandung Institute of Technology, IndonesiaIndonesia National Institute of Aeronautics and SpaceMeteorology Department, Bandung Institute of Technology, IndonesiaThis 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.http://journals.ums.ac.id/index.php/fg/article/view/2518Temporal DecorrelationCoherencyPolinsarAlos Palsar |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Laode M Golok Jaya Ketut Wikantika Katmoko Ari Sambodo Armi Susandi |
spellingShingle |
Laode M Golok Jaya Ketut Wikantika Katmoko Ari Sambodo Armi Susandi Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest) Forum Geografi Temporal Decorrelation Coherency Polinsar Alos Palsar |
author_facet |
Laode M Golok Jaya Ketut Wikantika Katmoko Ari Sambodo Armi Susandi |
author_sort |
Laode M Golok Jaya |
title |
Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest) |
title_short |
Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest) |
title_full |
Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest) |
title_fullStr |
Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest) |
title_full_unstemmed |
Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest) |
title_sort |
temporal decorrelation effect in carbon stocks estimation using polarimetric interferometry synthetic aperture radar (polinsar) (case study: southeast sulawesi tropical forest) |
publisher |
Muhammadiyah University Press |
series |
Forum Geografi |
issn |
0852-0682 2460-3945 |
publishDate |
2017-07-01 |
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. |
topic |
Temporal Decorrelation Coherency Polinsar Alos Palsar |
url |
http://journals.ums.ac.id/index.php/fg/article/view/2518 |
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