An automatic mosaicking algorithm for the generation of a large-scale forest height map using spaceborne repeat-pass InSAR correlation magnitude

Remote Sensing

Volumn 7, Issue 5, 2015, Pages 5639-5659

  Lei, Yang ^a   Siqueira, Paul ^a  

^a University of Massachusetts Amherst   (United States)

Author keywords

Correlation magnitude; Forest height; InSAR; Mosaicking algorithm; Repeat pass; Spaceborne

Indexed keywords

CARBON; FORESTRY; NASA; SYNTHETIC APERTURE RADAR;

CORRELATION MEASUREMENT; FOREST HEIGHT; INSAR; LASER VEGETATION IMAGING SENSORS; NON-LINEAR LEAST SQUARES; REPEAT PASS; SPACE-BORNE; TEMPORAL DECORRELATION;

ALGORITHMS;

ALGORITHMS; DIELECTRICS; FORESTS; PROBLEM SOLVING; REMOTE SENSING; SATELLITES;

EID: 84930037222     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70505639     Document Type: Article

References (24)

1. Rosen, P.A.; Hensley, S.; Gurrola, E.; Rogez, F.; Chan, S.; Martin, J.; Rodriguez, E. SRTM C-band topographic data: Quality assessments and calibration activities. In Proceedings of the 2001 IEEE International Geoscience and Remote Sensing Symposium IGARSS'01, Sydney, Australia, 9-13 July 2001; Volume 2, pp. 739-741.
2. Kellndorfer, J.; Walker, W.; LaPoint, E.; Bishop, J.; Cormier, T.; Fiske, G.; Hoppus, M.; Kirsch, K.; Westfall, J. NACP Aboveground Biomass and Carbon Baseline Data (NBCD 2000), U.S.A., 2000. Data Set. Available online: http://dx.doi.org/10.3334/ORNLDAAC/1081, 2012 (accessed on 16 May 2013).
3. Rosenqvist, A.; Shimada, M.; Chapman, B.; Freeman, A.; de Grandi, G.; Saatchi, S.; Rauste, Y. The global rain forest mapping project-A review. Int. J. Remote Sens. 2000, 21, 1375-1387.
4. Rosenqvist, A.; Shimada, M.; Ito, N.; Watanabe, M. ALOS PALSAR: A pathfinder mission for global-scale monitoring of the environment. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3307-3316.
5. Shimada, M.; Isoguchi, O.; Tadono, T.; Isono, K. PALSAR radiometric and geometric calibration. IEEE Trans. Geosci. Remote Sens. 2009, 47, 3915-3932.
6. Siqueira, P.; Hensley, S.; Shaffer, S.; Hess, L.; McGarragh, G.; Chapman, B.; Freeman, A. A continental-scale mosaic of the Amazon Basin using JERS-1 SAR. IEEE Trans. Geosci. Remote Sens. 2000, 38, 2638-2644.
7. Shimada, M.; Ohtaki, T. Generating large-scale high-quality SAR mosaic datasets: Application to PALSAR data for global monitoring. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 2010, 3, 637-656.
8. De Grandi, G.D.; Bouvet, A.; Lucas, R.M.; Shimada, M.; Monaco, S.; Rosenqvist, A. The K&C PALSAR mosaic of the African continent: Processing issues and first thematic results. IEEE Trans. Geosci. Remote Sens. 2011, 49, 3593-3610.
9. Luckman, A.; Baker, J.; Honzák, M.; Lucas, R. Tropical forest biomass density estimation using JERS-1 SAR: Seasonal variation, confidence limits, and application to image mosaics. Remote Sens. Environ. 1998, 63, 126-139.
10. Le Toan, T.; Quegan, S.; Davidson, M.; Balzter, H.; Paillou, P.; Papathanassiou, K.; Plummer, S.; Rocca, F.; Saatchi, S.; Shugart, H.; et al. The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle. Remote Sens. Environ. 2011, 115, 2850-2860.
11. Shimada, M.; Watanabe, M.; Motooka, T.; Shiraishi, T.; Isoguchi, O.; Mukaida, A.; Okumura, H.; Otaki, T.; Itoh, T. Generation of 10 m resolution PALSAR and JERS-1 SAR MOSAIC and forest/non-forest maps for forest carbon trackning. In Proceedings of the 3rd IEEE International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), Seoul, South Korea, 26-30 September 2011.
12. Siqueira, P.; Dickinson, C.; Ahmed, R.; Chapman, B.; Hensley, S.; Bergen, K.; Lucas, R.; Clewley, D. Analysis and error assessment on the use of segmentation for estimating forest structural characteristics from lidar and radar. In Proceedings of the 2012 Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July 2012; pp. 5337-5339.
13. Dickinson, C.; Siqueira, P.; Clewley, D.; Lucas, R. Classification of forest composition using polarimetric decomposition in multiple landscapes. Remote Sens. Environ. 2013, 131, 206-214.
14. Kwok, R.; Curlander, J.C.; Pang, S.S. An automated system for mosaicking spaceborne SAR imagery. Int. J. Remote Sens. 1990, 11, 209-223.
15. Lei, Y.; Siqueira, P. Estimation of forest height using spaceborne repeat-pass L-Band InSAR correlation magnitude over the US State of Maine. Remote Sens. 2014, 6, 10252-10285.
16. Treuhaft, R.N.; Siqueira, P.R. Vertical structure of vegetated land surfaces from interferometric and polarimetric radar. Radio Sci. 2000, 35, 141-177.
17. Papathanassiou, K.P.; Cloude, S.R. Single-baseline polarimetric SAR interferometry. IEEE Trans. Geosci. Remote Sens. 2001, 39, 2352-2363.
18. Blair, J.; Rabine, D.; Hofton, M. The Laser Vegetation Imaging Sensor: A medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography. ISPRS J. Photogramm. Remote Sens. 1999, 54, 115-122.
19. Michael, T.H. Scientific Computing: An Introductory Survey; The McGraw-Hill Companies Inc.: New York, NY, USA, 2002.
20. Fry, J.; Xian, G.; Jin, S.; Dewitz, J.; Homer, C.; Yang, L.; Barnes, C.; Herold, N.; Wickham, J. Completion of the 2006 National Land Cover Database for the Counterminous United States. Photogramm. Eng. Remote Sens. 2011, 77, 858-864.
21. Touzi, R.; Lopes, A.; Bruniquel, J.; Vachon, P. Coherence estimation for SAR imagery. IEEE Trans. Geosci. Remote Sens. 1999, 37, 135-149.
22. Lei, Y.; Siqueira, P. An automatic mosaicking algorithm for generating a large-scale forest stand height map using spaceborne repeat-pass InSAR coherence. In Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, Canada, 13-18 July 2014; pp. 84-87.
23. Alvarez-Salazar, O.; Hatch, S.; Rocca, J.; Rosen, P.; Shaffer, S.; Shen, Y.; Sweetser, T.; Xaypraseuth, P. Mission design for NISAR repeat-pass Interferometric SAR. Proc SPIE 2014, doi:10.1117/12.2074162.
24. Kankaku, Y.; Osawa, Y.; Suzuki, S.; Watanabe, T. The overview of the L-band SAR onboard ALOS-2. In Proceedings of the 2009 Symposium on Progress in Electromagnetics Research, Moscow, Russia, 18-21 August 2009; pp. 18-21.