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

Laode M Golok Jaya, Ketut Wikantika, Katmoko Ari Sambodo, Armi Susandi

DOI: https://doi.org/10.23917/forgeo.v31i1.2518


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.  


Temporal Decorrelation; Coherency; Polinsar; Alos Palsar

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Arfan, A. (2015) Discrimination of Mangrove Ecosystem Objects on the Visible Spectrum Using Spectroradiometer HR-1024, Forum Geografi, Vol. 29 (1), pp.83 – 88.

Askne, J. and Santoro, M. (2005) Multitemporal repeat-pass SAR interferometry of boreal forest, IEEE Transactions on Geoscience and Remote Sensing, 43: 1219-1228.

Cloude, S.R and Papathanassiou, K. (1998) Polarimetric SAR Interferometry, IEEE Transactions on Geoscience and Remote Sensing, Vol. 36 No. 5, pp. 1551-1565.

Cloude, S.R and Papathanassiou, K. (2003) Three-stage inversion process for Polarimetric SAR Interferometry, IEE Proc-Radar Sonar Navigation, 150: 125-134.

Florian, K., Papathanassiou K., Hajnsek, I. and Dirk, H. (2006) Forest height estimation in tropical rain forest using Pol-Insar techniques, German Aerospace Center (DLR), IEEE 0-7803-9510-7/06.

Hajnsek, I., Kugler, F., Papathanossiou, K., Horn, R., Schieber, R., Moreira, A., Hoekman, D., Davidson, M. (2005) INDREX II – Indonesian airborne radar experiment campaign over tropical forest in L- and P- band: first results, Proceedings of Geoscience and Remote Sensing Symposium 2005 (IGRASS 2005) Page(s): 4335-4338, July 25-29, 2005, Seoul, South Korea.

Hermon, D. (2015) Estimate of Changes in Carbon Stocks Based on Land Cover Changes in the Leuser Ecosystem Area (LEA) Indonesia, Forum Geografi, Vol 29 (2), pp. 187-196.

IPCC (Inter-Governmental Panel on Climate Change) (2007) The Carbon Cycle and Atmospheric Carbon Dioxide Content.

Kugler, F., Papathanassiou K.P., Hajnsek I. (2006) Forest height estimation over tropical forest by means of polarimetric SAR interferometry. Proceedings of: VII Seminário de Atualização em Sensoriamento Remoto e Sistemas de Informações Geográficas Aplicados à Engenharia Florestal, October 2006. Curitiba: 504–512.

Kugler, F., Schulze, D., Hajnsek, I., Pretzsch, H. and Papathanassiou, K.P. (2014) TanDEM-X Pol-InSAR Performance for Forest Height Estimation, IEEE Transactions on Geoscience and Remote Sensing, DOI:10.1109/TGRS. 2013.2296533.

Kurvonen, L., Pulliainen, J., and Hallikainen, M. (1999) Retrieval of biomass in boreal forest from multitemporal ERS-1 and JERS-1 SAR images, IEEE Transactions on Geoscience and Remote Sensing, 37, pp. 198-205.

Kustiyo, O. Roswintiarti, A. Tjahjaningsih, R. Dewanti, S. Furby, J. W. (2015) Annual Forest Monitoring as Part of the Indonesia’s National Carbon Accounting System, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7/W3, 36th International Symposium on Remote Sensing of Environment, Berlin, Germany.

Lee, S.K., Kugler, F., Papathanassiou, K.P., and Moreira, A. (2009) Forest Height Estimation by means of Pol-InSAR Limitations posed by Temporal Decorrelation, K&C Science Report – Phase 1, Microwaves and Radar Institute (DLR-HR), German Aerospace Center (DLR).

Lee, J. and Pottier, E. (2009) Polarimetric Radar Imaging from Basics to Applications, CRC Press, ISBN 978-1-4200-5497-2.

Le Toan, T., Quegan, S., Davidson, M.W.J., Baltzer, H., Paillou, P., Papathanassiou, K., Plummer, S., Rocca, F., Saatchi, S., Shugart, H., Ulander, L. (2011) The BIOMASS Mission: Mapping global forest biomass to better understand the terrestrial carbon cycle, Remote sensing of Environment 115, pp. 2850-2860.

Meng, W. and Sandwell DT. (2010) Decorrelation of L-band and C-band interferometry over vegetated areas in California, IEEE Transactions on Geoscience and Remote Sensing, 48: 2942-2952.

Mette, T., Papathanassiou, K.P., Hajnsek, I., Zimmermann, R. (2003) Forest Biomass Estimation using Polarimetric SAR Interferometry.

Mette, T. (2006) Forest Biomass Estimation from Polarimetric SAR Interferometry, Dissertation, Technischen Universität München.

Mitchell, A.L., Williams, M., Tapley, I., Milne, A.K. (2012) Interoperability of Multi-Frequency SAR Data for Forest Information Extraction in Support of National MRV System, IEEE Trans. on Geoscience and Remote Sensing.

Moreira, A., Papathanassiou, K., Krieger, G. (2002) Polarimetric SAR Interferometry with a Passive Polarimetric Micro-Satellite Concept, Institute of Radio Frequency Technology and Radar Systems, German Aerospace Center (DLR).

Neeff, T., Biging G.S., Dutra L.V., Freitas C.C. and Santos J.R. (2005) Modeling spatial tree pattern in the Tapajós forest using interferometric height, Revista Brasileira de Cartografia 57 (1): 1–6.

Richards, J. A. (2009) Remote Sensing with Imaging Radar, Signals and Communication Technology, ISBN: 978-3-642-02019-3, Springer.

Villard, L. and Le Toan, T. (2014) Relating P-Band SAR Intensity to Biomass for Tropical Dense Forests in Hilly Terrain: γ0 or t0?, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Wuryanta, A. (2016) Radar Data for Identifying the Characteristics of Tropical Forest Stands, Forum Geografi, Vol 30 (1), pp. 69-76.

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