Seasonal Differences in Forest Height Estimation from Interferometric TanDEM-X Coherence Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 12, 2015, Pages 5565-5572

  Olesk, Aire ^a,b   Voormansik, Kaupo ^b   Vain, Ants ^c   Noorma, Mart ^b   Praks, Jaan ^d  

^a UNIVERSITY OF TARTU   (Estonia)

^b TARTU OBSERVATORY   (Estonia)

^c Estonian Land Board   (Estonia)

^d AALTO UNIVERSITY   (Finland)

Author keywords

Forest height; radar interferometry; synthetic aperture radar (SAR); TanDEM X (TDX); vegetation mapping; X band

Indexed keywords

INTERFEROMETRY; OPTICAL RADAR; POLARIZATION; REGRESSION ANALYSIS; SYNTHETIC APERTURE RADAR;

BISTATIC SYNTHETIC APERTURE RADAR; CORRELATION COEFFICIENT; INTERFEROMETRIC COHERENCE; LIGHT DETECTION AND RANGING; POLARIZATION CHANNELS; RANDOM VOLUME OVER GROUNDS; SEASONAL VARIABILITY; SEMI-EMPIRICAL MODELING;

FORESTRY;

ALGORITHM; CONIFEROUS FOREST; DECIDUOUS FOREST; FOREST CANOPY; HEIGHT DETERMINATION; RADAR INTERFEROMETRY; SYNTHETIC APERTURE RADAR; TANDEM-X; VEGETATION MAPPING;

ESTONIA;

PICEA;

EID: 84951335205     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2501648     Document Type: Article

References (35)

1. FAO. Assessment of the Status of the Development of the Standards for Terrestrial Essential Climate Variables: Biomass (T12). Rome, Italy: Global Terrestrial Observing System, 2009.
2. A. T. Caicoya, F. Kugler, I. Hajnsek, and K. Papathanassiou, "Boreal forest biomass classification with TanDEM-X, " in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Munich, Germany, 2012, pp. 3439-3442.
3. S. R. Cloude, H. Chen, and D. G. Goodenough, "Forest height estimation and validation using TanDEM-X polinsar, " in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Melbourne, Australia, 2013, pp. 1889-1892.
4. S. R. Cloude and K. P. Papathanassiou, "Polarimetric SAR interferometry, " IEEE Trans. Geosci. Remote Sens., vol. 36, no. 5, pp. 1551-1565, Sep. 1998.
5. K. P. Papathanassiou and S. R. Cloude, "Single-baseline polarimetric SAR interferometry, " IEEE Trans. Geosci. Remote Sens., vol. 39, no. 11, pp. 2352-2363, Nov. 2001.
6. S. Cloude, "An assessment of the PolInSAR performance of TanDEMX for forestry applications, " in Proc. PolInSAR, Frascati, Italy, 2011, pp. 1-9.
7. F. Garestier, P. C. Dubois-Fernandez, and K. P. Papathanassiou, "Pine forest height inversion using single-pass X-band PolInSAR data, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 1, pp. 56-68, Jan. 2008.
8. S. R. Cloude. (2008). POL-InSAR training course. Tutorial of the ESA Polarimetric SAR Processing (PolSARPro) Toolbox [Online]. Available: http://earth.esa.int/landtraining07/pol-insar-Training-course.pdf
9. F. Kugler, D. Schulze, I. Hajnsek, H. Pretzsch, and K. P. Papathanassiou, "TanDEM-X PolInSAR performance for forest height estimation, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 10, pp. 6404-6422, Oct. 2013.
10. J. Praks, M. Hallikainen, O. Antropov, and D. Molina, "Boreal forest tree height estimation from interferometric TanDEM-X images, " in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Munich, Germany, 2012, pp. 1262-1265.
11. J. Praks, O. Antropov, and M. T. Hallikainen, "LIDAR-Aided SAR interferometry studies in boreal forest: Scattering phase center and extinction coefficient at X-And L-band, " IEEE Trans. Geosci. Remote Sens., vol. 50, no. 10, pp. 3831-3843, Oct. 2012.
12. F. Kugler and I. Hajnsek, "Forest characterisation by means of TerraSARX and TanDEM-X (polarimetric and) interferometric data, " in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Vancouver, BC, Canada, 2011, pp. 2578-2581.
13. M. Schlund, F. von Poncet, D. H. Hoekman, S. Kuntz, and C. Schmullius, "Importance of bistatic SAR features from TanDEM-X for forest mapping and monitoring, " Remote Sens. Environ., vol. 151, pp. 16-26, 2013.
14. G. Krieger, K. P. Papathanassiou, and S. R. Cloude, "Spaceborne polarimetric SAR interferometry: Performance analysis and mission concepts, " EURASIP J. Appl. Signal Process., vol. 20, pp. 3272-3292, 2005.
15. R. A. Houghton, "Aboveground forest biomass and the global carbon balance, " Global Change Biol., vol. 11, no. 6, pp. 945-958, 2005.
16. IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme, H. S. Eggleston, L. Buendia, K. Miwa, T. Ngara, and K. Tanabe Eds., IGES, Japan, 2006.
17. A. T. Caicoya, F. Kugler, K. Papathanassiou, P. Biber, and H. Pretzsch, "Biomass estimation as a function of vertical forest structure and forest height-Potential and limitations for radar remote sensing, " in Proc. EUSAR, Aachen, Germany, 2010, pp. 1-4.
18. M. Pardini, A. Torano Caicoya, F. Kugler, S. K. Lee, I. Hajnsek, and K. Papathanassiou, "On the estimation of forest vertical structure from multibaseline polarimetric SAR data, " in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Munich, Germany, 2012, pp. 3443-3446.
19. R. N. Treuhaft, S. N. Madsen, M. Moghaddam, and J. J. Van Zyl, "Vegetation characteristics and underlying topography from interferometric radar, " Radio Sci., vol. 31, no. 6, pp. 1449-1485, 1996.
20. R. N. Treuhaft and P. R. Siqueira, "Vertical structure of vegetated land surfaces from interferometric and polarimetric radar, " Radio Sci., vol. 35, no. 1, pp. 141-177, 2000.
21. S. R. Cloude and K. P. Papathanassiou, "Three-stage inversion process for polarimetric SAR interferometry, " IEEE Proc. Radar Sonar Navig., vol. 150, no. 3, pp. 125-134, 2003.
22. C. Demirpolat, "X-band interferometric radar for mapping temporal variability in forest, " M.S.Thesis, Dept. Radio Sci. Eng., Aalto Univ., Espoo, Finland, 2012.
23. Esri, World Imagery by DigitalGlobe, GeoEye, i-cubed, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AEX, Getmapping, Aerogrid, IGN, IGP, swisstopo, and the GIS User Community [Online]. Available: http://www.arcgis.com/home/webmap/viewer.html
24. Estonian Land Board, Geoportal X-GIS PublicWebmap Service [Online]. Available: http://xgis.maaamet.ee/xGIS/XGis
25. EMHI. Estonian Meteorological and Hydrological Station Weather Observations [Online]. Available: http://www.ilmateenistus.ee/?lang=en
26. Estonian Land Board, Geoportal [Online]. Available: http://geoportaal. maaamet.ee/eng/Maps-And-Data-p58.html
27. USDA. (2015). Manual for Fusion/LDV [Online]. Available: http://forsys.cfr.washington.edu/fusion/fusionlatest.html
28. Estonian Environment Agency (EEIC), Forest Registry [Online]. Available: http://register.metsad.ee/avalik/
29. Republic of Estonia Government Office, Ministry of Justice, Riigi teataja [Online]. Available: https://www.riigiteataja.ee/akt/MS
30. German Aerospace Center (DLR), TanDEM-X Science Service System [Online]. Available: https://tandemx-science.dlr.de/
31. E. W. Hoen, "A correlation-based approach to modeling interferometric radar observations of the Greenland ice sheet, " Ph.D. dissertation, Dept. Appl. Phys., Stanford University, Stanford, CA, USA, 2001.
32. K. Voormansik, J. Praks, O. Antropov, J. Jagomagi, and K. Zalite, "Flood mapping with TerraSAR-X in forested regions in Estonia, " IEEE J-STARS, vol. 7, no. 2, pp. 562-577, Feb. 2014.
33. K. Zalite, K. Voormansik, A. Olesk, M. Noorma, and A. Reinart, "Effects of inundated vegetation on X-band HH-VV backscatter and phase difference, " IEEE J. Sel. Topics Appl. Earth. Observ. Remote Sens., vol. 7, no. 4, pp. 1402-1406, Feb. 2014.
34. S. Solberg, R. Astrup, J. Breidenbach, B. Nilsen, and D. Weydahl, "Monitoring spruce volume and biomass with InSAR data from TanDEM-X, " Remote Sens. Environ., vol. 139, pp. 60-67, 2013.
35. E. Tappo, "Average forest stand parameters by main species, site class and age in Estonia, " Tallinn, Estonia, 1982, 73pp.