PALSAR 50 m Mosaic Data Based National Level Biomass Estimation in Cambodia for Implementation of REDD+ Mechanism

PLoS ONE

Volumn 8, Issue 10, 2013, Pages

  Avtar, Ram ^a,b,c   Suzuki, Rikie ^b   Takeuchi, Wataru ^a   Sawada, Haruo ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

^c UNITED NATIONS UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALLOMETRY; ANALYTIC METHOD; ARTICLE; BIOMASS; CAMBODIA; CORRELATION ANALYSIS; DATA BASE; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL PROTECTION; ENVIRONMENTAL TEMPERATURE; EVERGREEN RAIN FOREST; FOREST MANAGEMENT; PHASED ARRAY TYPE L BAND SYNTHETIC APERTURE RADAR FINE BEAM DUAL 50 M MOSAIC DATA; REDUCING EMISSIONS FROM DEFORESTATION AND FOREST DEGRADATION; TEMPERATE DECIDUOUS FOREST; TOPOGRAPHY; VALIDATION PROCESS;

BIOMASS; CAMBODIA; CLIMATE CHANGE; CONSERVATION OF NATURAL RESOURCES; ENVIRONMENTAL MONITORING; MODELS, BIOLOGICAL; TREES; TROPICAL CLIMATE;

EID: 84885086018     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0074807     Document Type: Article

References (70)

1. Schulze ED, (2006) Biological control of the terrestrial carbon sink. Biogeosciences 3: 147-166.
2. Muukkonen P, Heiskanen J, (2007) Biomass estimation over a large area based on standwise forest inventory data and ASTER and MODIS satellite data: A possibility to verify carbon inventories. Remote Sensing of Environment 107: 617-624.
3. Page SE, Hoscilo A, Langner A, Tansey K, Siegert F, et al. (2009) Chapter 9: Tropical peatland fires in Southeast Asia. In M. A. Cochrane (Ed.), Tropical fire ecology: Climate change, land use, and ecosystems dynamics. Berlin: Springer-Praxis, pp. 263-287.
4. FRA (2010) Global Forest Resources Assessment, Food and Agriculture Organisation of the United Nations, Rome.
5. Skutsch M, Bird N, Trined E, Dutschke M, Frumhoff P, et al. (2007) Clearing the way for reducing emissions from tropical deforestation. Environment Science & Policy 10: 322-334.
6. Angelsen A (2008) Moving ahead with REDD Issues, options and implications, CIFOR, Indonesia.
7. Visseren-Hamakers I, McDermott C, Vijge M J, Cashore B, (2012) Trade-offs, co-benefits and safeguards: current debates on the breadth of REDD+. Current Option in Environmental Sustainability 4: 646-653.
8. Defries R, Achard F, Brown S, Herold M, Murdiyarso D, et al. (2007) Earth observations for estimating greenhouse gas emissions from deforestation in developing countries. Environmental science & policy 10: 385-394.
9. Wang G, Zhang M, Gertner GZ, Oyana T, McRoberts RE, et al. (2011) Uncertainties of mapping aboveground forest carbon due to plot locations using national forest inventory plot and remotely sensed data. Scandinavian Journal of Forest Research 26: 360-373.
10. Keith H, Mackey BG, Lindenmayer DB, (2009) Re-evaluation of forest biomass carbon stocks and lessons from the world's most carbon-dense forests. PNAS, 106 (28): 11635-11640.
11. Ravindranath NH, Ostwald M (2008) Carbon inventory methods: Handbook for greenhouse gas inventory, mitigation and roundwood production projects. Springer publication pp. 113-147.
12. Maniatis D, Mollicone D (2010) Options for sampling and stratification for national forest inventories to implement REDD+ under the UNFCCC. Carbon balance and management 5 (9), (doi:10.1186/1750-0680-5-9).
13. Saatchi SS, Harris NL, Brown S, Lefsky M, Mitchard ETA, et al., (2011) Benchmark map of forest carbon stocks in tropical regions across three continents. PNAS, doi:/10.1073/pnas.1019576108.
14. Sader SA, Waide RB, Lawrence WT, (1989) Tropical Forest Biomass and Successional age Class Relationship to a Vegetation Index Derived from Landsat TM Data. Remote Sensing of Environment 28: 143-156.
15. Beaudoin A, Le Toan T, Goze S, Nerzy E, Lopes A, (1994) Retrieval of forest biomass from SAR data. International Journal of Remote Sensing 15: 414.
16. Rauste Y, Hammer T, Pulliainen J, Hallikainen M, (1994) Radar-based forest biomass estimation. International Journal of Remote Sensing 15 (14): 2791-2808.
17. Brown S, Gaston G, (1995) Use of forest inventories and geographic information systems to estimate biomass density of tropical forests: Application to tropical Africa. Environmental Monitoring and Assessment 38 (2-3): 157-168.
18. Imhoff ML, (1995) Radar backscatter and biomass saturation: ramifications for global biomass inventory IEEE transactions on Geoscience and Remote Sensing 33. (2): 511-518.
19. Harrell PA, Kasischke ES, Bourgeau-Chavez LL, Haney E, Christensen NL (1997) Evaluation of approaches to estimating aboveground biomass in South pine forests using SIR-C data. Remote Sensing of Environment, 59, 2, 223-233.
20. Luckman A, Baker JR, Honzak M, Lucas R, (1998) Tropical Forest Biomass Density Estimation using JERS-1 SAR: Seasonal Variation, Confidence Limits and Application to Image Mosaics. Remote Sensing of Environment 63: 126-139.
21. Steininger M, (2000) Satellite estimation of tropical secondary forest above ground biomass data from Brazil and Bolivia. International Journal of Remote Sensing 21 (6-7): 1139-1157.
22. Austin JM, Mackey BG, Van Niel KP (2003) Estimating forest biomass using satellite radar: an exploratory study in a temperate Australian Eucalyptus forest. Forest Ecology and Management 176 (1-3) 575-583.
23. Santos JR, Freitas CC, Araujo LS, Dutra LV, Mura JC, et al. (2003) Airborne P-band SAR applied to the aboveground biomass studies in the Brazilian tropical rainforest. Remote Sensing of Environment 87 (4): 482-493.
24. Foody GM, Boyd DS, Cutler MEJ, (2003) Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sensing of Environment 85 (4): 463-474.
25. Lu D, (2005) Aboveground biomass estimation using Landsat TM data in Brazilian Amazon. International Journal of Remote Sensing 26 (12): 2509-2525.
26. Kuplich TM, Curran PJ, Atkinson PM (2005) Relating SAR image texture to the biomass of regenerating tropical forests. International Journal of Remote Sensing, 26, 21, 4829-4854.
27. Watanabe M, Shimada M, Rosenqvist A, Tadono T, Matsuoka M, et al. (2006) Forest structure dependency of the relations between L-band σo and biophysical parameters. IEEE transactions on Geoscience and Remote Sensing 44 (11): 3154-3165.
28. Sales MH, Souza CM Jr, Kyriakidis PC, Roberts DA, Vidal E, (2007) Improving spatial distribution of forest biomass with geostatistics: A case study for Rondonia, Brazil. Ecological Modelling 205 (1-2): 221-230.
29. Hajnsek I, Kugler F, Lee SK, Papathanassiou KP, (2009) Tropical forest parameter estimation by means of Pol-InSAR: The INDREX-II campaign. IEEE transactions on Geoscience and Remote Sensing 47 (2): 481-493.
30. Mitchard ETA, Saatchi SS, Woodhouse IH, Nangendo G, Ribeiro NS, et al. (2009) Using satellite radar backscatter to predict above-ground woody biomass: A consistent relationship across four different African landscapes. Geophysical Research Letters 36 (1-6) Doi:10.1029/2009GL040692,2009.
31. Lucas R, Armston J, Fairfax R, Fensham R, Accad A, et al. (2010) An evaluation of the ALOS PALSAR L-band backscatter- above ground biomass relationship Queensland, Australia: Impacts of surface moisture condition and vegetation structure. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 3 (4) 576-593.
32. Sun G, Ranson KJ, Guo Z, Zhang Z, Montesano P, et al. (2011) Forest biomass mapping from lidar and radar synergies. Remote Sensing of Environment, doi:10.1016/j.rse.2011.03.021.
33. Sandberg G, Ulander LMH, Fransson JES, Holmgren J, Le Toan T (2011) L- and P-band backscatter intensity retrieval in heniboreal forest. Remote Sensing of Environment, doi:10.1016/j.rse.2011.03.018.
34. Englhart S, Keuck V, Siegert F (2011) Aboveground biomass retrieval in tropical forests- the potential of combined X- and L- band SAR data. Remote Sensing of Environment, doi:10.1016/j.rse.2011.01.008.
35. Mitchard ETA, Saatchi SS, Lewis SL, Feldpausch TR, Woodhouse IH, et al. (2011) Measuring biomass changes due to woody encroachment and deforestation/degradation in a forest-savanna boundary region of central Africa using multi-temporal L-band radar backscatter. Remote Sensing of Environment, doi:10.1016/j.rse.2010.02.022.
36. Cartus O, Santoro M, Kellndorfer J, (2012) Mapping forest aboveground biomass in the northern United States with ALOS PALSAR dual-polarization L-band. Remote Sensing of Environment 124: 466-478.
37. Mutanga O, Adam E, Cho MA, (2012) High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm. International Journal of Applied Earth Observation and Geoinformation 18: 399-406.
38. Carreiras JMB, Vasconcelos MJ, Lucas RM, (2012) Understanding the relationship between aboveground biomass and ALOS PALSAR data in the forests of Guinea-Bissau (West Africa). Remote Sensing of Environment 121: 426-442.
39. Hame T, Rauste Y, Antropov O, Ahola HA, Kilpi J, (2013) Improved mapping of tropical forests with optical and SAR imagery, Part II: Above ground biomass estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 60 (1): 92-101.
40. Suzuki R, Kim Y, Ishii R, (2013) Sensitivity of the backscatter intensity of ALOS/PALSAR to the above-ground biomass and other biophysical parameters of boreal forest in Alaska. Polar Science 7 (2): 100-112.
41. Sivanpillai R, Smith CT, Srinivasan R, Messina MG, Wu XB, (2006) Estimation of managed loblolly pine stand age and density with Landsat ETM+ data. Forest Ecology and Management 223: 247-254.
42. Gibbs HK, Brown S, Niles JO, Foley JA (2007) Monitoring and estimating tropical forest carbon stocks: Making REDD a reality. Environmental Research Letters 2: 1 -13.
43. Lu D, (2006) The potential and challenge of remote sensing-based biomass estimation, International Journal of Remote Sensing 27. (7): 1297-1328.
44. Avtar R, Sawada H, Takeuchi W, Singh G, (2012a) Characterization of Forests and Deforestation in Cambodia Using ALOS/PALSAR Observation. Geocarto International 27 (2): 119-137.
45. Avtar R, Sawada H (2012b) Use of DEMs data to monitor height changes due to deforestation. Arabian Journal of Geosciences, DOI: 10.1007/s12517-012-0768-2.
46. Gama FF, dos SantosJR, Mura JC, (2010) Eucalyptus biomass and volume estimation using interferometric and polarimetric SAR data. Remote Sensing 2: 939-956.
47. Djomo AN, Knohl A, Gravenhorst G (2011) Estimations of total ecosystem carbon pools distribution and carbon biomass current annual increment of a moist tropical forest. Forest Ecology Management, doi:10.1016/j.foreco.2011.01.031.
48. Dobson MC, Ulaby FT, Letoan T, Beaudoin A, Kasischke ES, et al. (1992) Dependence of radar backscatter on coniferous forest biomass. IEEE Transactions on Geoscience and Remote Sensing 30: 412 - 415.
49. Luckman A, Baker J, Kuplich TM, Yanasse CDF, Frery AC (1997) A study of the relationship between radar backscatter and regenerating tropical forest biomass for spaceborne SAR instruments. Remote Sensing of Environment 60: 1 - 13.
50. Castro K, Sanchez-Azofeifa G, Rivard B, (2003) Monitoring secondary tropical forests using space-borne data: Implications for Central America. International Journal of Remote Sensing 24: 1853-1894.
51. Lucas RM, Mitchell AL, Rosenqvist A, Proisy C, Melius A, et al. (2007) The potential of L-band SAR for quantifying mangrove characteristics and change: Case studies from the tropics. Aquatic Conservation - Marine and Fresh water Ecosystems 17: 245- 264.
52. Kasischke ES, Melack JM, Dobson MC, (1997) The use of imaging radars for ecological applications- A review. Remote Sensing of Environment 59 (2): 141-156.
53. UNEP (2009) Cambodia environment outlook, Ministry of Environment, Kingdom of Cambodia.
54. Kiyono Y, Furuya N, Sum T, Umemiya C, Itoh E, et al. (2010) Carbon stock estimation by forest measurement contributing to sustainable forest management in Cambodia. JARQ 44 (1): 81-92.
55. Avtar R, Takeuchi W, Sawada H, (2013a) Full Polarimetric PALSAR based Land Cover Monitoring in Cambodia for Implementation of REDD Policies. International Journal of Digital Earth 6 (3): 255-275.
56. Avtar R, Takeuchi W, Sawada H, (2013b) Monitoring of Biophysical Parameters of Cashew Plants in Cambodia using ALOS/PALSAR data. Environmental Monitoring and Assessment 185: 2013-2037.
57. Gaughan AE, Binford MW, Southworth J, (2009) Tourism, forest conversion, and land transformations in the Angkor basin Cambodia. Applied Geography 29: 212-223.
58. Brown S (1997) Estimating biomass and biomass change of tropical forests: A primer. FAO Forestry Paper 134, Rome: 5.
59. Kenzo T, Furutani R, Hattori D, Kendawang JJ, Tanaka S, et al. (2009) Allometric equations for accurate estimation of above ground biomass in logged over tropical rainforests in Sarawak, Malaysia. Journal of Forestry Research 14: 365-372.
60. Avtar R, Sawada H, Kumar P (2013c) Role of remote sensing and community forestry to manage forests for the effective implementation of REDD+ mechanism: a case study on Cambodia. Environment Development and Sustainability, DOI 10.1007/s10668-013-9448-y.
61. Shimada M (2010) Ortho-rectification and slope correction of SAR data using DEM and its accuracy evaluation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3, 4, 657-671.
62. Akatsuka S, Takeuchi W, Rakwatin P, Sawada H (2009) Evaluation of slope correction effects on ALOS PALSAR mosaic data set in forest mapping in Indonesia and Malaysia. 30th Asian conference on remote sensing (ACRS): Beijing, China, 2009 Oct. 20.
63. Shimada M, Isoguchi O, Tadono T, Isono K (2009) PALSAR polarimetric calibration and geometric calibration. IEEE, Transactions on Geoscience and Remote Sensing, 47, 12, 3915-3932.
64. Collins JN, Hutley LB, Williams RJ, Boggs G, Bell D, et al. (2009) Estimating land-scape vegetation carbon stocks using airborne multi-frequency polarimetric synthetic aperture radar (SAR) in the savannahs of north Australia. International Journal of Remote Sensing, 30, 5, 1141-1159.
65. VanZyl J, (1993) The effect of topography on radar scattering from vegetated areas. IEEE Transactions on Geoscience and Remote Sensing, 31 (1): 153-160.
66. Le Toan T, Beaudoin A, Riom J, Guyon D, (1992) Relating Forest Biomass to SAR Data. IEEE Transaction on Geoscience and Remote Sensing 30: 403-411.
67. Harrell PA, Bourgeau-Chavez LL, Kasischke ES, French NHF, Christensen NL, (1995) Sensitivity of ERS-1 and JERS-1 radar data to biomass and stand structure in Alaskan boreal forest. Remote Sensing of Environment 54: 247-253.
68. Le Toan T, Quegan S, Davidson MWJ, Balzter H, Paillou P, et al. (2011) The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle, Remote Sensing of Environment, doi:10.1016/j.rse.2011.03.020.
69. Ranson KJ, Sun G (1994). Mapping biomass of a northern forest using multifrequency SAR data. IEEE Transactions on Geoscience and Remote Sensing, 32,388-396.
70. Sato T (2011) Methods for biomass monitoring. International technical seminar on REDD+ knowledge sharing and discussion from practices and experiences, Tokyo, Japan 16-17 February, 2011. Available: http://www.ffpri.affrc.go.jp/redd-rdc/en/seminars/reports/2011/02/16/01/23_Tamotsu_Sato.pdf. Accessed: 26 Feb 2011.