Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 70, Issue , 2012, Pages 66-77

  Cutler, M E J ^a   Boyd, D S ^b   Foody, G M ^b   Vetrivel, A ^a  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Allometry; Artificial neural network; Biomass; SAR; Wavelets

Indexed keywords

ABOVE GROUND BIOMASS; ACROSS TIME; ALLOMETRIC EQUATIONS; ALLOMETRY; BIOMASS ESTIMATION; CARBON FLUXES; CO-OCCURRENCE-MATRIX; ECOSYSTEM RESPONSE; ENVIRONMENTAL CHANGE; FIELD PLOT; GEOGRAPHICAL LOCATIONS; GREY LEVELS; JERS-1 SAR; LANDSAT TM; LANDSAT TM DATA; MALAYSIA; MULTI-SPECTRAL; MULTI-SPECTRAL DATA; OPERATIONAL USE; SAR; SATELLITE REMOTE SENSING; STRONG CORRELATION; TERRESTRIAL ECOSYSTEMS; THAILAND; TRAINING SCENARIO; TROPICAL FOREST; WAVELETS;

DEFORESTATION; DEGRADATION; ECOSYSTEMS; ESTIMATION; NEURAL NETWORKS; REMOTE SENSING; SPACE OPTICS; TEXTURES; TROPICS; UNCERTAINTY ANALYSIS; WAVELET ANALYSIS;

BIOMASS;

ABOVEGROUND BIOMASS; ALLOMETRY; ARTIFICIAL NEURAL NETWORK; CARBON FLUX; DATA SET; ECOSYSTEM RESPONSE; ENVIRONMENTAL CHANGE; FOREST ECOSYSTEM; JERS-1; LANDSAT THEMATIC MAPPER; MULTISPECTRAL IMAGE; PREDICTION; SATELLITE DATA; SYNTHETIC APERTURE RADAR; TROPICAL FOREST; UNCERTAINTY ANALYSIS; WAVELET;

BIOMASS; BRAZIL; DEFORESTATION; DEGRADATION; ECOSYSTEMS; ESTIMATION; MALAYSIA; NEURAL NETWORKS; OPTICS; RADAR; REMOTE SENSING; TEXTURE; THAILAND; TROPICS;

BRAZIL; MALAYSIA; THAILAND;

EID: 84860520922     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2012.03.011     Document Type: Article

References (56)

1. Amini J., Sumantyo J.T.S. Employing a method on SAR and optical images for forest biomass estimation. IEEE Transactions on Geoscience and Remote Sensing 2009, 47(12):4020-4026.
2. Baishya R., Barik S.K. Estimation of tree biomass, carbon pool and net primary production of an old growth Pinus Kesiya Royle ex. Gordon forest in North-eastern India. Annals of Forest Science 2011, 68(4):727-736.
3. Baker T.R., Phillips O.L., Malhi Y., Almeida S., Arroyo L., Di Fiore A., Erwin T., Higuchi N., Killeen T.J., Laurance S.G., Laurance W.F., Lewis S.L., Monteagudo A., Neill D.A., Vargas P.N., Pitman N.C.A., Natalino J., Silva M., Martinez R.V. Increasing biomass in Amazonian forest plots. Philosophical Transactions of the Royal Society of London Series B 2004, 359:381-407.
4. Basuki T.M., van Laake P.E., Skidmore A.K., Hussin Y.A. Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest Ecology and Management 2009, 257(8):1684-1694.
5. Bijlsma R.J. The characterisation of natural vegetation using first-order and texture measurements in digitized, color-infrared photography. International Journal of Remote Sensing 1993, 14(8):1547-1562.
6. Bishop C.M. Neural networks for pattern recognition 1995, Clarendon Press, Oxford.
7. Boyd D.S., Danson F.M. Satellite remote sensing of forest resources: three decades of research development. Progress in Physical Geography 2005, 29(1):1-26.
8. Brown, S., 1997. Estimating biomass and biomass change of tropical forests. FAO Forestry Paper, vol. 134. Rome, FAO.
9. Brown S. Measuring carbon in forests: current status and future challenges. Environmental Pollution 2002, 116(3):363-372.
10. Brown S., Gillespie A.J.R., Lugo A.E. Biomass estimation methods for tropical forest with application to forest inventory data. Forest Science 1989, 35(4):881-902.
11. Castel T., Guerra F., Caraglio Y., Houllier F. Retrieval biomass of a large Venezuelan pine plantation using JERS-1 SAR data. Analysis of forest structure impact on radar signature. Remote Sensing of Environment 2002, 79(1):30-41.
12. Castro K.L., Sanchez-Azofeifa G.A., Rivard B. Monitoring secondary tropical forests using space-borne data: implications for Central America. International Journal of Remote Sensing 2003, 24:1853-1894.
13. Chambers J.Q., dos Santos J., Ribeiro R.J., Higuchi N. Tree damage, allometric relationships, and aboveground net primary production in central Amazon forest. Forest Ecology Management 2001, 152(1-3):73-84.
14. Chave J., Andalo C., Brown S., Cairns M.A., Chambers J.Q., Eamus D., Fölster H., Fromard F., Higuchi N., Kira T., Lescure J.-P., Nelson B.W., Ogawa H., Puig H., Riéra B., Yamakura T. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 2005, 145:87-99.
15. Chavez P.S. Radiometric calibration of Landsat Thematic Mapper multispectral images. Photogrammetric Engineering and Remote Sensing 1989, 55(9):1285-1294.
16. Chavez P.S. Image-based atmospheric corrections: revised and improved. Photogrammetric Engineering and Remote Sensing 1996, 62(9):1025-1036.
17. Ekstrand S. Landsat TM-based forest damage assessment: correction for topographic effects. Photogrammetric Engineering and Remote Sensing 1996, 62(2):151-161.
18. Daubechies, I., 1991. The wavelet transform: a method for time-frequency localization. In: Haykin S. (Ed.), Advances in Spectrum Analysis and Array Processing, vol. 1.
19. DeGrandi G., Lucas R.M., Kropacek J. Analysis by wavelet frames of spatial statistics in SAR data for characterising structural properties of forests. IEEE Transactions on Geoscience and Remote Sensing 2009, 47(2):494-507.
20. Foody G.M., Green R.M., Lucas R.M., Curran P.J., Honzak M., Do Amaral I. Observations on the relationship between SIR-C radar backscatter and the biomass of regenerating tropical forests. International Journal of Remote Sensing 1997, 18(3):687-694.
21. Foody G.M., Cutler M.E.J., McMorrow J., Pelz D., Tangki H., Boyd D.S., Douglas I. Mapping the biomass of Bornean tropical forest. Global Ecology and Biogeography 2001, 10(4):379-387.
22. Foody G.M., Boyd D.S., Cutler M.E.J. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sensing of Environment 2003, 85(4):463-474.
23. Franklin S.E., Wulder M.A., Gerylo G.R. Texture analysis of IKONOS panchromatic data for Douglas fir forest age class separability in British Columbia. International Journal of Remote Sensing 2001, 22(13):2627-2632.
24. Grainger A. Uncertainty in the construction of global knowledge or tropical forests. Progress in Physical Geography 2010, 34(6):811-844.
25. Haralick R.M. Statistical and structural approaches to texture. Proceedings of the IEEE 1979, 67(5):786-804.
26. Hill R.A., Boyd D.S., Hopkinson C. Relationship between canopy height and Landsat ETM+ response in lowland Amazonian rainforest. Remote Sensing Letters 2011, 2(3):203-212.
27. Houghton R.A., Skole D.L., Nobre C.A., Hackler J.L., Lawrence K.T., Chomentowski W.H. Annual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon. Nature 2000, 403(6767):301-304.
28. Hyde P., Dubayah R., Walker W., Blair B., Hofton M., Hunsaker C. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy. Remote Sensing of Environment 2006, 102(1-2):63-73.
29. Imhoff M.L. Radar backscatter and biomass saturation: ramifications for global biomass inventory. IEEE Transactions of Geoscience and Remote Sensing 1995, 33(2):511-518.
30. Kellndorfer J., Pierce L.E., Dobson M.C., Ulaby F.T. Toward consistent regional-to-global-scale vegetation characterisation using orbital SAR systems. IEEE Transactions of Geoscience and Remote Sensing 1998, 36(5):1396-1411.
31. Kuplich T.M., Curran P.J., Atkinson P.M. Relating SAR image texture to biomass of regenerating tropical forests. International Journal of Remote Sensing 2005, 26(21):4829-4854.
32. Le Toan T., Beaudoin A., Riom J., Guyon D. Relating forest biomass to SAR data. IEEE Transactions on Geoscience and Remote Sensing 1992, 30(2):390-402.
33. Lu D., Batistella M. Exploring TM image texture and its relationships with biomass estimation in Rondônia, Brazilian Amazon. Acta Amazonica 2005, 35(2):249-257.
34. Lu D. The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing 2006, 27(7):1297-1328.
35. Lucas R.M., Honzak M., do Amaral I., Curran P.J., Foody G.M. Forest regeneration on abandoned clearances in central Amazonia. International Journal of Remote Sensing 2002, 23(5):965-988.
36. Lucas R.M., Cronin N., Lee A., Moghaddam M., Witte C., Tickle P. Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia. Remote Sensing of Environment 2006, 100(3):407-425.
37. Lucas R.M., Cronin N., Moghaddam M., Lee A., Armston J., Bunting P., Witte C. Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia. Remote Sensing of Environment 2006, 100(3):388-406.
38. Luckman A., Baker J.R., Kuplich T.M., Yanasse C.C.F., Frery A.C. A study of the relationship between radar backscatter and regenerating forest biomass for spaceborne SAR instruments. Remote Sensing of Environment 1997, 60(1):1-13.
39. Malhi Y. The carbon balance of tropical forest regions, 1990-2005. Current Opinion in Environmental Sustainability 2010, 2(4):237-244.
40. Mitchard, E.T.A., Saatchi, S.S., Woodhouse, I.H., Nangendo, G., Ribeiro, N.S., Williams, M., Ryan, C.M., Lewis, S.L., Feldpausch, T.R., Meir, P., 2009. Using satellite radar backscatter to predict above-ground biomass: a consistent relationship across four different African landscapes. Geophysical Research Letters 36, L243401. http://dx.doi.org/10.1029/2009GL040692.
41. Nagendra H. Using remote sensing to assess biodiversity. International Journal of Remote Sensing 2001, 22(12):2377-2400.
42. Newbery D.M., Campbell E.J.F., Lee Y.F., Ridsdale C.E., Still M.J. Primary lowland dipterocarp forest at Danum Valley. Philosophical Transactions of the Royal Society B 1992, 335(1275):341-356.
43. Pelz, D.R., 2000. Forest inventories in tropical forests in S.E. Asia (Thailand and Malaysia). Proc. of Taller Internacional de Evaluacion y Monitoreo en Bosques Tropicales 2000. Guadajera, Mexico.
44. Podest E., Saatchi S. Application of multiscale texture in classifying JERS-1 radar data over tropical vegetation. International Journal of Remote Sensing 2002, 23(7):1487-1506.
45. Rauste Y. Multi-temporal JERS SAR data in boreal forest mapping. Remote Sensing of Environment 2005, 97(2):263-275.
46. Shimada, M., 2002. User's Guide to NASDA's SAR products (Version 3). NASDA, NDX000291.
47. Simard M., De Grandi G., Thomson K.P.B. Adaption of the wavelet transform for the construction of multiscale texture maps of SAR images. Canadian Journal of Remote Sensing 1998, 24:264-285.
48. Simard M., Saatchi S.S., De Grandi G. The use of decision tree and multiscale texture for classification of JERS-1 SAR data over tropical forest. IEEE Transactions on Geoscience and Remote Sensing 2000, 38(5):2310-2321.
49. Steininger M.K. Satellite estimation of tropical secondary forest aboveground biomass data from Brazil and Bolivia. International Journal of Remote Sensing 2000, 21(6-7):1139-1157.
50. Sun G., Ranson K.J., Kharuk V.I. Radiometric slope correction for forest biomass estimation from SAR data in the Western Sayani Mountains, Siberia. Remote Sensing of Environment 2002, 79(2-3):279-287.
51. Uhl C., Buschbacher R., Serrao E.A.S. Abandoned pastures in Eastern Amazonia. I. Patterns of plant succession. Journal of Ecology 1988, 76(3):663-681.
52. UN-REDD, 2008, Role of satellite remote sensing in REDD, UN-REDD Programme Working Paper 1, available at: http://www.un-redd.org/Publications/.
53. Wang, C., Qi, J., 2008. Biophysical estimation in tropical forests using JERS-1 SAR and VNIR imagery: II. Above ground woody biomass. International Journal of Remote Sensing 29 (23), 6827-6849.
54. Wilkinson G.G. Open Questions in Neurocomputing for Earth Observation. Neurocomputing in Remote Sensing Data Analysis 1997, Springer, Berlin. I. Kanellopoulos, G.G. Wilkinson, F. Rolli, J. Austin (Eds.).
55. Woodcock C.E., Macomber S.A., Pax-Lenney M., Cohen W.B. Monitoring large areas for forest change using Landsat: generalisation across space, time and Landsat sensors. Remote Sensing of Environment 2001, 78(1-2):194-203.
56. Woodcock C.E. Uncertainty in Remote Sensing. Uncertainty in Remote Sensing and GIS 2002, Wiley, Chichester. G.M. Foody, P.M. Atkinson (Eds.).