Aboveground biomass estimation of mangrove species using ALOS-2 PALSAR imagery in Hai Phong City, Vietnam

Journal of Applied Remote Sensing

Volumn 11, Issue 2, 2017, Pages

  Pham, Tien Dat ^a,b   Yoshino, Kunihiko ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b VIETNAM NATIONAL UNIVERSITY OF AGRICULTURE   (Viet Nam)

Author keywords

aboveground biomass; ALOS 2; Kandelia obovata. Hai Phong city; Sonneratia caseolaris

Indexed keywords

BACKSCATTERING; BIOMASS; MEAN SQUARE ERROR; SYNTHETIC APERTURE RADAR;

ABOVE GROUND BIOMASS; ADVANCED LAND OBSERVING SATELLITES; ALOS-2; BACKSCATTERING COEFFICIENTS; FIELD-BASED MEASUREMENTS; KANDELIA OBOVATA. HAI PHONG CITY; L-BAND SYNTHETIC APERTURE RADARS; SONNERATIA CASEOLARIS;

FORESTRY;

EID: 85018758796     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.11.026010     Document Type: Article

References (57)

1. Y. Mazda et al., "Mangroves as a coastal protection from waves in the Tong King delta, Vietnam, " Mangroves Salt Marshes 1, 127-135 (1997).
2. F. Danielsen et al., "The Asian Tsunami: A protective role for coastal vegetation, " Science 310, 643 (2005).
3. A. Komiyama, J. E. Ong, and S. Poungparn, "Allometry, biomass, and productivity of mangrove forests: A review, " Aquat. Bot. 89, 128-137 (2008).
4. P. N. Hong and H. T. San, Mangroves of Vietnam, IUCN, Bangkok, Thailand (1993).
5. FAO, The Worlds Mangroves 1980-2005. A Thematic Study Prepared in the Framework of the Global Forest Resources Assessment 2005, Food and Agriculture Organization of the United Nations, Rome (2007).
6. L. X. Tuan et al., "Environmental management in mangrove areas, " Environ. Inf. Arch. 1, 38-52 (2003).
7. T. D. Pham and K. Yoshino, "Impacts of mangrove management systems on mangrove changes in the northern coast of Vietnam, " Tropics 24, 141-151 (2016).
8. B. F. Clough and K. Scott, "Allometric relationships for estimating above-ground biomass in six mangrove species, " For. Ecol. Manage. 27, 117-127 (1989).
9. O. Jin-Eong, G. W. Khoon, and B. F. Clough, "Structure and productivity of a 20-year-old stand of Rhizophora apiculata Bl. mangrove forest, " J. Biogeogr. 22, 417-424 (1995).
10. B. F. Clough, P. Dixon, and O. Dalhaus, "Allometric relationships for estimating biomass in multi-stemmed mangrove trees, " Aust. J. Bot. 45, 1023-1031 (1997).
11. A. Komiyama et al., "A common allometric equation for predicting stem weight of mangroves growing in secondary forests, " Ecol. Res. 17, 415-418 (2002).
12. S. Tamai et al., "Standing biomass of mangrove forests in southern Thailand, " J. Jpn. For. Soc. 68, 384-388 (1986).
13. J. Chave et al., "Tree allometry and improved estimation of carbon stocks and balance in tropical forests, " Oecologia 145, 87-99 (2005).
14. A. Komiyama, S. Poungparn, and S. Kato, "Common allometric equations for estimating the tree weight of mangroves, " J. Trop. Ecol. 21, 471-477 (2005).
15. M. Ross et al., "Estimating above-ground biomass and production in mangrove communities of Biscayne National Park, Florida (U.S.A.), " Wetlands Ecol. Manage. 9, 27-37 (2001).
16. N. R. A. Jachowski et al., "Mangrove biomass estimation in southwest Thailand using machine learning, " Appl. Geogr. 45, 311-321 (2013).
17. A. Ellison, "Macroecology of mangroves: large-scale patterns and processes in tropical coastal forests, " Trees 16, 181-194 (2002).
18. D. M. Alongi, "Present state and future of the worlds mangrove forests, " Environ. Conserv. 29, 331-349 (2002).
19. B. G. Long and T. D. Skewes, "A technique for mapping mangroves with Landsat TM satellite data and geographic information system, " Estuarine Coastal Shelf Sci. 43, 373-381 (1996).
20. V. Pasqualini et al., "Mangrove mapping in north-western Madagascar using SPOT-XS and SIR-C radar data, " Hydrobiologia 413, 127-133 (1999).
21. G. Conchedda, L. Durieux, and P. Mayaux, "An object-based method for mapping and change analysis in mangrove ecosystems, " ISPRS J. Photogramm. Remote Sens. 63, 578-589 (2008).
22. S. Nandy and S. Kushwaha, "Study on the utility of IRS 1D LISS-III data and the classification techniques for mapping of Sunderban mangroves, " J. Coast. Conserv. 15, 123-137 (2011).
23. J. B. Long and C. Giri, "Mapping the Philippines mangrove forests using Landsat imagery, " Sensors 11, 2972-2981 (2011).
24. R. M. Lucas et al., "The potential of L-band SAR for quantifying mangrove characteristics and change: case studies from the tropics, " Aquat. Conserv. 17, 245-264 (2007).
25. D. Lu, "The potential and challenge of remote sensing-based biomass estimation, " Int. J. Remote Sens. 27, 1297-1328 (2006).
26. Y. Zhu et al., "Retrieval of mangrove aboveground biomass at the individual species level with worldview-2 images, " Remote Sens. 7, 12192-12214 (2015).
27. T. D. Pham, K. Yoshino, and D. T. Bui, "Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks, " GISci. Remote Sens. 53(3), 1-25 (2016).
28. T. N. K. D. Binh et al., "Land cover changes between 1968 and 2003 in Cai Nuoc, Ca Mau Peninsula, Vietnam, " Environ. Dev. Sustainability 7, 519-536 (2005).
29. V. Tran Thi et al., "Application of remote sensing and GIS for detection of long-Term mangrove shoreline changes in Mui Ca Mau, Vietnam, " Biogeosciences 11, 3781-3795 (2014).
30. S. Nguyen-Thanh et al., "Mangrove mapping and change detection in Ca Mau Peninsula, Vietnam, using Landsat data and object-based image analysis, " IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 8, 503-510 (2015).
31. P. T. Dat and K. Yoshino, "Monitoring mangrove forest using multi-Temporal satellite data in the Northern Coast of Vietnam, " in the 32nd Asian Conf. on Remote Sensing, Taipei, Taiwan (2011).
32. P. Tien Dat and K. Yoshino, "Mangrove analysis using ALOS imagery in Hai Phong City, Vietnam, " Proc. SPIE 8525, 85250U (2012).
33. T. D. Pham and K. Yoshino, "Mangrove mapping and change detection using multi-Temporal Landsat imagery in Hai Phong city, Vietnam, " in Int. Symp. on Cartography in Internet and Ubiquitous Environments, The University of Tokyo, Japan (2015).
34. H. T. Nguyen et al., "The effects of stand-Age and inundation on carbon accumulation in mangrove plantation soil in Namdinh, Northern Vietnam, " Tropics 14, 21-37 (2004).
35. T. D. Vu, W. Takeuchi, and N. A. Van, "Carbon stock calculating and forest change assessment toward REDD+ activities for the mangrove forest in Vietnam, " Trans. Jpn. Soc. Aeron. Space Sci. Aerosp. Technol. Jpn. 12, 23-31 (2014).
36. JAXA, ALOS-2/PALSAR-2 Level 1.1/1.5/2.1/3.1 CEOS SAR Product, Japan Aerospace Exploration Agency, Tokyo (2014).
37. M. R. de Leeuw and L. M. T. de Carvalho, "Performance evaluation of several adaptive speckle filters for SAR imaging, " in Anais XIV Simpósio Brasileiro de Sensoriamento Remoto, pp. 7299-7305 (2009).
38. Y. Wang and M. L. Imhoff, "Simulated and observed L-HH radar backscatter from tropical mangrove forests, " Int. J. Remote Sens. 14, 2819-2828 (1993).
39. Y. Wang et al., "Understanding the radar backscattering from flooded and nonflooded Amazonian forests: results from canopy backscatter modeling, " Remote Sens. Environ. 54, 324-332 (1995).
40. N. H. Phan and D. T. Vu, The Role of Mangroves in Mitigating Natural Disasters (2007).
41. J. W. Fourqurean et al., Field Sampling of Vegetative Carbon Pools in Coastal Ecosystems (2014).
42. R. Lucas et al., "An evaluation of the ALOS PALSAR L-band backscatter-Above ground biomass relationship Queensland, Australia: impacts of surface moisture condition and vegetation structure, " IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 3, 576-593 (2010).
43. T. Le Toan et al., "Relating forest biomass to SAR data, " IEEE Trans. Geosci. Remote Sens. 30, 403-411 (1992).
44. S. Englhart, V. Keuck, and F. Siegert, "Aboveground biomass retrieval in tropical forests-The potential of combined X-And L-band SAR data use, " Remote Sens. Environ. 115, 1260-1271 (2011).
45. R. Avtar, R. Suzuki, and H. Sawada, "Natural forest biomass estimation based on plantation information using PALSAR Data, " PLoS One 9, e86121 (2014).
46. A. W. Moore, Cross-Validation for Detecting and Preventing Overfitting, School of Computer Science, Carnegie Mellon University, Pittsburgh (2001).
47. H. Viana et al., "Estimation of crown biomass of Pinus pinaster stands and shrubland aboveground biomass using forest inventory data, remotely sensed imagery and spatial prediction models, " Ecol. Model. 226, 22-35 (2012).
48. K. B. Byrd et al., "Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation, " Remote Sens. Environ. 149, 166-180 (2014).
49. O. Hamdan, H. Khali Aziz, and I. Mohd Hasmadi, "L-band ALOS PALSAR for biomass estimation of Matang mangroves, Malaysia, " Remote Sens. Environ. 155, 69-78 (2014).
50. S. Darmawan et al., "Characterization of mangrove forest types based on ALOS-PALSAR in overall Indonesian archipelago, " in IOP Conf. Series: Earth and Environmental Science, p. 012051 (2014).
51. M. Marchand, Mangrove Restoration in Vietnam: Key Considerations and a Practical Guide, Deltares, The Netherlands (2008).
52. C. Proisy et al., "Interpretation of polarimetric radar signatures of mangrove forests, " Remote Sens. Environ. 71, 56-66 (2000).
53. R. M. Lucas et al., Characterisation and Monitoring of Mangroves Using ALOS PALSAR Data Japan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki Prefecture, Japan (2009).
54. M. N. Khan, R. Suwa, and A. Hagihara, "Biomass and aboveground net primary production in a subtropical mangrove stand of Kandelia obovata (S., L.) Yong at Manko Wetland, Okinawa, Japan, " Wetlands Ecol. Manage. 17, 585-599 (2009).
55. D. A. Freedman, Statistical Models: Theory and Practice, Cambridge University Press, Cambridge, United Kingdom (2009).
56. G. Grimsditch et al., "The blue carbon special edition-introduction and overview, " Ocean Coast. Manage. 83, 1-4 (2013).
57. J. Howard et al., "Coastal Blue Carbon: methods for assessing carbon stocks and emissions factors in mangroves, tidal salt marshes, and seagrass meadows, " in Conservation Int., Intergovernmental Oceanographic Commission of UNESCO, International Union for Conservation of Nature, Arlington, Virginia (2014).