Estimating spruce and pine biomass with interferometric X-band SAR

Remote Sensing of Environment

Volumn 114, Issue 10, 2010, Pages 2353-2360

  Solberg, Svein ^a   Astrup, Rasmus ^a   Gobakken, Terje ^b   Næsset, Erik ^b   Weydahl, Dan J ^c  

^a NORWEGIAN INSTITUTE OF BIOECONOMY RESEARCH   (Norway)

^b NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^c NORWEGIAN DEFENCE RESEARCH ESTABLISHMENT FFI   (Norway)

Author keywords

Biomass; Forestry; InSAR; LIDAR; SAR

Indexed keywords

ABOVE GROUND BIOMASS; AIRBORNE LASER SCANNING; BIOMASS MODELS; BOREAL FORESTS; FIELD INVENTORIES; FIELD PLOT; FOREST BIOMASS; FOREST INVENTORY; HIGH QUALITY; NORWAY SPRUCE; REFERENCE DATA; SATURATION EFFECTS; SCOTS PINE; SOUTHERN NORWAY; STAND LEVELS; STUDY AREAS; TERRAIN MODEL; TOPOGRAPHIC MAP;

FORESTRY; GEODETIC SATELLITES; INTERFEROMETRY; LANDFORMS; MAPS; OPTICAL RADAR; TIMBER; TRACKING RADAR;

BIOMASS;

ABOVEGROUND BIOMASS; ACCURACY ASSESSMENT; BIOMONITORING; BOREAL FOREST; CONIFEROUS TREE; FOREST INVENTORY; FORESTRY MODELING; HEIGHT; INTERFEROMETRY; LIDAR; SATELLITE LASER RANGING; SHUTTLE RADAR TOPOGRAPHY MISSION; SPECIES DIVERSITY; SYNTHETIC APERTURE RADAR; TOPOGRAPHIC MAPPING;

BIOMASS; FORESTRY; FORESTS; INTERFEROMETRY; MAPS; RADAR; SATELLITES;

NORWAY;

PICEA; PICEA ABIES; PINUS SYLVESTRIS;

EID: 77955268438     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.05.011     Document Type: Article

References (44)

1. Ardö J. Volume quantification of coniferous forest compartments using spectral radiance recorded by Landsat Thematic Mapper. International Journal of Remote Sensing 1992, 13(9):1779-1786.
2. Axelsson P. DEM generation from laser scanner data using adaptive TIN models. International Archives of Photogrammetric Remote Sensing 2000, 33(B4):110-117.
3. Balzter H., Rowland C.S., Saich P. Forest canopy height and carbon estimation at Monks Wood National Nature Reserve, UK, using dual-wavelength SAR interferometry. Remote Sensing of Environment 2007, 108:224-239.
4. Chen J.M., Rich P.M., Gower T.S., Norman J.M., Plummer S. Leaf area index of boreal forests: Theory, techniques and measurements. Journal of Geophysical Research 1997, 102:29429-29444.
5. BIOMASS. Candidate earth explorer mission 2008, ESA communication production office, Noordwijk, 124pp. P. Clissold (Ed.).
6. Drake J.B., Dubayah R.O., Clark D.B., Knox R.G., Blair J.B., Hofton M.A., Chazdon R.L., Weishampel J.F., Prince S. Estimation of tropical forest structural characteristics using large-footprint lidar. Remote Sensing of Environment 2002, 79(2-3):305-319.
7. Eid T., Næsset E. Determination of stand volume in practical forest inventories based on field measurements and photo-interpretation: The Norwegian Experience. Scandinavian Journal of Forest Research 1998, 13(2):246-254.
8. Eriksson, L.E.B., Magnusson, M., Fransson, J.E.S., Sandberg, G., & Ulander, L.M.H. (2007). Stem volume estimation for boreal forest using ALOS PALSAR. 5th International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications, Bari, Italy, September 25-28, 2007, ESA, Istituto di Studi sui Sistemi Intelligenti per l'Automazione. CD.
9. Fransson J.E.S., Smith G., Askne J., Olsson H. Stem 515 volume estimation in boreal forests using ERS-1/2 coherence and SPOT XS optical data. International Journal of Remote Sensing 2001, 22(14):2777-2791.
10. Garestier F., Dubois-Fernandez P.C., Papathanassiou K.P. Pine forest height inversion using single-pass X-band PolInSAR data. IEEE Transactions on Geoscience and Remote Sensing 2008, 46(1):59-68.
11. Hansen M.C., Shimabukuro Y.E., Potapov P., Pittman K. Comparing annual MODIS and PRODES forest cover change data for advancing monitoring of Brazilian forest cover. Remote Ssensing of eEnvironment 2008, 112:3784-3793.
12. Imhoff M.L. Radar backscatter and biomass saturation: Ramifications for global biomass inventory. IEEE Transactions on Geoscience and Remote Sensing 1995, 33(2):511.
13. Kellndorfer J.M., Walker W.S., Pierce L.E., Dobson M.C., Fites J., Hunsaker C., Vona J., Clutter M. Vegetation height derivation from Shuttle Radar Topography Mission and National Elevation data sets. Remote Sensing of Environment 2004, 2004(93):339-358.
14. Kenyi L.W., Dubayah R., Hofton M., Schardt M. Comparative analysis of SRTM-NED vegetation canopy height to LIDAR-derived vegetation canopy metrics. International Journal of Remote Sensing 2009, 30(11):2797-2811.
15. Kurz W.A., Dymond C.C., Stinson G., Rampley G.J., Neilson E.T., Carroll A.L., Ebata T., Safranyik L. Mountain pine beetle and forest carbon feedback to climate change. Nature 2008, 452:987-990.
16. Liebhold A.M., Halverson J.A., Elmes G.A. Gypsy-moth invasion in North-America-A quantitative analysis. Journal of Biogeography 1992, 19:513-520.
17. Magnussen S., Næsset E., Gobakken T. Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce. Remote Sensing of Environment 2010, 114(4):700-712.
18. Magnusson M., Fransson J.E.S. Combining airborne CARABAS-II VHF SAR data and optical SPOT-4 satellite data for estimation of forest stem volume. Canadian Journal of Remote Sensing 2004, 30(4):661-670.
19. van Mantgem P.J., Stephenson N.L., Byrne J.C., Daniels L.D., Franklin J.F., Fulé P.Z., Harmon M.E., Larson A.J., Smith J.M., Taylor A.H., Veblen T.T. Widespread increase of tree mortality rates in the Western United States. Science 2009, 323(5913):521-524.
20. Marklund L.G. Biomass functions for Norway spruce in Sweden. Swedish University of Agricultural sciences, Department of Forest Survey. Rapport 1987, 43:1-127.
21. Marklund L.G. Biomass functions for pine, spruce and birch in Sweden. Rapport 1988, 45:1-73. Swedish University of Agricultural Sciences, Department of Forest Survey, Umeå. (In Swedish).
22. Mette T.K., Papathanassiou I., Hajnsek I. Potential of forest height derived by Polarimetric SAR Interferometry to estimate forest biomass. Proceedings of European Conference on Synthetic Aperture Radar, EUSAR 04, Ulm, Germany, Mayi 2004 2004.
23. Mette T., Papathanassiou K.P., Hajnsek I. Biomass estimation from polarimetric SAR interferometry over heterogeneous forest terrain. Proc. IEEE Intl. Geosci. Remote Sensing Symp. (IGARSS), Anchorage, USA, Sept. 2004, vol. 1 2004, 511-514. ISBN 0-7803-8742-2.
24. Moreira A., Krieger G., Hajnsek I., Papathanassiou K., Eineder M., De Zan F., Younis M., Werner M. Tandem-L: Monitoring the Earth's Dynamics with InSAR and Pol-InSAR. Proc. of '4th Int. Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry-PolInSAR 2009', 26-30 January 2009, Frascati, Italy 2009, http://earth.esa.int/workshops/polinsar2009.
25. Næsset E. Effects of different flying altitudes on biophysical stand properties estimated from canopy height and density measured with a small-footprint airborne scanning laser. Remote Sensing of Environment 2004, 91:243-255.
26. Næsset E. Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia. Scandinavian Journal of Forest Research 2007, 22:433-442.
27. Næsset E., Gobakken T. Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser. Remote Sensing of Environment 2008, 112(6):3079-3090.
28. Næsset E., Gobakken T., Nelson R. Sampling and mapping forest volume and biomass using airborne LIDARs. Proceedings of the Eight Annual Forest Inventory and Analysis Symposium, October 16-19, 2006, Monterey, CA, USA 2009, 297-301.
29. Neeff T., Dutra L.V., Santos J.R., Freitas C.C., Araújo L.S. Tropical forest measurement by interferometric height modeling and P-band backscatter. Forest Science 2005, 51(6):585-594.
30. Olander L.P., Gibbs H.K., Steininger M., Swenson J.J., Murray B.C. Reference scenarios for deforstation and forest degredation in support of REDD: A review of data and methods. Environmental Research Letters 2008, 3:1-11.
31. Rabus B., Eineder M., Roth A., Bambler R. The shuttle radar topography mission-A new class of digital elevation models acquired by spaceborne radar. ISPRS Journal of Photogrammetry & Remote Sensing 2003, 57:241-262.
32. Ranson K.J., Sun G. An evaluation of AIRSAR and SIR-C/X-SAR images for mapping northern forest attributes in Maine, USA. Remote Sensing of Environment 1997, 59(2):203-222.
33. Rombach M., Moreira J. Description and applications of the multipolarized dual band OrbiSAR-1 InSAR sensor. Proceedings of the International Radar Conference, 2003. IEEE, 3-5 Sept. 2003 2003, 245-250.
34. Santos J.R., Freitas C.C.da Costa, Araújo L.S., Dutra L.V., Mura J.C., Gama F.F., Soler L.S., Sant'anna S.J.S. Airborne P-band SAR applied to the above ground biomass studies in the Brazilian tropical rainforest. Remote Sensing of Environment 2003, 87(4):482-493.
35. Schabenberger O., Pierce F.J. Contemporary statistical models for the plant and soil sciences 2002, CRC-press, Boca Raton, 738pp.
36. Sexton J.O., Bax T., Siqueira P., Swenson J.J., Hensley S. A comparison of lidar, radar, and field measurements of canopy height in pine and hardwood forests of southeastern North America. Forest Ecology and Management 2009, 257:1136-1147.
37. Snowdon P. A ratio estimation for bias correction in logarithmic regressions. Canadian Journal og Forest Research 1991, 21:720-724.
38. Treuhaft R.N., Siqueira P.R. The calculated performance of forest structure and biomass estimates from interferometric radar. Waves in Random Media 2004, 14(2):345-358.
39. Treuhaft R.N., Asner G.P., Law B.E. Structure-based forest biomass from fusion of radar and hyperspectral observations. Geophysical Research Letters 2003, 30(9):1472.
40. Treuhaft R.N., Chapman B.D., dos Santos J.R., Goncalves F.G., Dutra L.V., Graca P.M.L.A., Drake J.B. Vegetation profiles in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements. Journal of Geophysical Research 2009, 114(D23110):1-16.
41. UNFAO Global forest resources assessments 2005 2005, accessed 15 January 2009.
42. UNFCCC Kyoto Protocol Reference Manual on Accounting of Emissions and Assigned Amounts 2007, accessed 10 June 2007.
43. Webster R. Regression and functional relations. European journal of soil science 1997, 48:557-566.
44. Weydahl D.J., Sagstuen J., Dick Ø.B., Rønning H. SRTM DEM accuracy assessment over vegetated areas in Norway. International Journal of Remote Sensing 2007, 28(15-16):3513-3527.