Mangrove mapping and change detection in ca mau peninsula, vietnam, using landsat data and object-based image analysis

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 2, 2015, Pages 503-510

  Son, Nguyen Thanh ^a   Chen, Chi Farn ^a   Chang, Ni Bin ^a   Chen, Cheng Ru ^b   Chang, Ly Yu ^b   Thanh, Bui Xuan ^c  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b University of Central Florida   (United States)

^c Vietnam National University Ho Chi Minh   (Viet Nam)

Author keywords

Change analysis; Landsat data; mangroves; object based image analysis (OBIA)

Indexed keywords

AQUACULTURE; COASTAL ENGINEERING; DEVELOPING COUNTRIES; ECOLOGY; FORESTRY; IMAGE ANALYSIS; IMAGE PROCESSING; LAND USE; OBJECT DETECTION; REFORESTATION; SIGNAL DETECTION; SUSTAINABLE DEVELOPMENT;

CHANGE ANALYSIS; ECOSYSTEM SERVICE VALUES; ENVIRONMENTAL SUSTAINABILITY; LANDSAT; MANAGEMENT STRATEGIES; MANGROVES; OBJECT BASED IMAGE ANALYSIS; OBJECT BASED IMAGE ANALYSIS (OBIA);

ECOSYSTEMS;

ACCURACY ASSESSMENT; DATA PROCESSING; FOREST ECOSYSTEM; IMAGE ANALYSIS; IMAGE PROCESSING; LANDSAT; MANGROVE; MAPPING; SPATIAL ANALYSIS;

DATA; DEVELOPING COUNTRIES; FORESTS; IMAGE ANALYSIS; MANGROVE; SATELLITES;

CA MAU; VIET NAM;

RHIZOPHORACEAE;

EID: 85027929857     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2360691     Document Type: Article

References (72)

1. R. Costanza, "Visions, values, valuation, and the need for an ecological economics," Bioscience, vol. 51, no. 6, pp. 459-468, 2001
2. I. Nagelkerken et al., "The habitat function of mangroves for terrestrial and marine fauna: A review," Aquat. Bot., vol. 89, pp. 155-185, 2008
3. K. Furukawa, E. Wolanski, and H. Mueller, "Currents and sediment transport in mangrove forests," Estuarine Coastal Shelf Sci., vol. 44, pp. 301-310, Mar. 1997
4. N. C. Duke et al., "A world without mangroves?" Science, vol. 317, pp. 41-42, Jul. 2007
5. J. H. Primavera, "Mangroves, fishponds, and the quest for sustainability," Science, vol. 310, pp. 57-59, Oct. 2005
6. FAO, The World's Mangroves 1980-2005: FAO Forestry Paper 153. Rome, Italy: FAO, 2007
7. M. D. Spalding, F. Blasco, and C. D. Field, World mangrove atlas, Okinawa, Japan: The International Society for Mangrove Ecosystems, 1997
8. K. B. Kirui et al., "Mapping of mangrove forest land cover change along the Kenya coastline using Landsat imagery," Ocean Coastal Manage., vol. 83, pp. 19-24, Oct. 2013
9. 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., vol. 43, pp. 373-381, Sep. 1996
10. R. Tateishi et al., "Production of global land cover data-GLCNMO," Int. J. Digital Earth, vol. 4, pp. 22-49, May 2010
11. A. A. Habshi, T. Youssef, M. Aizpuru, and F. Blasco, "New mangrove ecosystem data along the UAE coast using remote sensing," Aquat. Ecosyst. Health Manage., vol. 10, pp. 309-319, Sep. 2007
12. C. Vaiphasa, A. K. Skidmore, and W. F. de Boer, "A post-classifier for mangrove mapping using ecological data," ISPRS J. Photogramm. Remote Sens., vol. 61, pp. 1-10, Oct. 2006
13. K. Liu, X. Li, X. Shi, and S.Wang, "Monitoring mangrove forest changes using remote sensing and GIS data with decision-tree learning,"Wetlands, vol. 28, pp. 336-346, Jun. 2008
14. N. Jean-Baptiste and J. R. Jensen, "Measurement of mangrove biophysical characteristics in the Bocozelle ecosystem in Haiti using Aster multispectral data," Geocarto Int., vol. 21, pp. 3-8, 2006
15. T. M. Lee and H. C. Yeh, "Applying remote sensing techniques to monitor shifting wetland vegetation: A case study of Danshui River estuary mangrove communities, Taiwan," Ecol. Eng., vol. 35, pp. 487-496, Apr. 2009
16. H. H. Nguyen, C. McAlpine, D. Pullar, K. Johansen, and N. C. Duke, "The relationship of spatial-temporal changes in fringe mangrove extent and adjacent land-use: Case study of Kien Giang coast, Vietnam," Ocean Coastal Manage., vol. 76, pp. 12-22, May 2013
17. P. H. S. Tong et al., "Assessment from space of mangroves evolution in theMekong Delta, in relation to extensive shrimp farming," Int. J. Remote Sens., vol. 25, pp. 4795-4812, Nov. 2004
18. D. Muchoney et al., "Application of the MODIS global supervised classification model to vegetation and land cover mapping of Central America," Int. J. Remote Sens., vol. 21, pp. 1115-1138, Jan. 2000
19. E. P. Green, C. D. Clark, P. J. Mumby, A. J. Edwards, and A. C. Ellis, "Remote sensing techniques for mangrove mapping," Int. J. Remote Sens., vol. 19, pp. 935-956, Jan. 1998
20. S. Myint, C. Giri, L. Wang, Z. Zhu, and S. Gillette, "Identifying mangrove species and their surrounding land use and land cover classes using an object-oriented approach with a lacunarity spatial measure," GISci. Remote Sens., vol. 45, pp. 188-208, 2008
21. I. Sulong, H. Mohd-Lokman, K. Mohd-Tarmizi, and A. Ismail, "Mangrove mapping using Landsat imagery and aerial photographs: Kemaman district, Terengganu, Malaysia," Environ. Dev. Sustain., vol. 4, pp. 135-152, Jun. 2002
22. C. F. Chen et al., "Multi-decadal mangrove forest change detection and prediction in Honduras, Central America, with Landsat imagery and a Markov chain model," Remote Sens., vol. 5, pp. 6408-6426, 2013
23. G. Conchedda, L. Durieux, and P. Mayaux, "An object-based method for mapping and change analysis in mangrove ecosystems," ISPRS J. Photogramm. Remote Sens., vol. 63, pp. 578-589, Sep. 2008
24. L. Wang, W. P. Sousa, P. Gong, and G. S. Biging, "Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama," Remote Sens. Environ., vol. 91, pp. 432-440, Jun. 2004
25. J. M. Kovacs, J. Wang, and F. Flores-Verdugo, "Mapping mangrove leaf area index at the species level using IKONOS and LAI-2000 sensors for the Agua Brava Lagoon, Mexican Pacific," Estuarine Coastal Shelf Sci., vol. 62, pp. 377-384, Jan. 2005
26. H. Xin, Z. Liangpei, and W. Le, "Evaluation of morphological texture features for mangrove forest mapping and species discrimination using multispectral IKONOS imagery," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 3, pp. 393-397, Jul. 2009
27. G. S. Boggs, "Assessment of SPOT 5 and QuickBird remotely sensed imagery for mapping tree cover in savannas," Int. J. Appl. Earth Observ. Geoinf., vol. 12, pp. 217-224, Aug. 2010
28. A. Davranche, G. Lefebvre, and B. Poulin, "Wetland monitoring using classification trees and SPOT-5 seasonal time series," Remote Sens. Environ., vol. 114, pp. 552-562, Mar. 2010
29. M. Hussain, D. Chen, A. Cheng, H. Wei, and D. Stanley, "Change detection from remotely sensed images: From pixel-based to object-based approaches," ISPRS J. Photogramm. Remote Sens., vol. 80, pp. 91-106, Jun. 2013
30. R. D. Johnson and E. S. Kasischke, "Change vector analysis: A technique for the multispectral monitoring of land cover and condition," Int. J. Remote Sens., vol. 19, pp. 411-426, 1998
31. E. F. Lambin and A. H. Strahlers, "Change-vector analysis in multitemporal space: A tool to detect and categorize land-cover change processes using high temporal-resolution satellite data," Remote Sens. Environ., vol. 48, pp. 231-244, May 1994
32. C. He, A. Wei, P. Shi, Q. Zhang, and Y. Zhao, "Detecting land-use/landcover change in rural-urban fringe areas using extended change-vector analysis," Int. J. Appl. Earth Observ. Geoinf., vol. 13, pp. 572-585, Aug. 2011
33. N. A. Quarmby and J. L. Cushnie, "Monitoring urban land cover changes at the urban fringe from SPOT HRV imagery in south-east England," Int. J. Remote Sens., vol. 10, pp. 953-963, 1989
34. P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, "Review article digital change detection methods in ecosystem monitoring: A review," Int. J. Remote Sens., vol. 25, pp. 1565-1596, May 2004
35. H. Nemmour and Y. Chibani, "Multiple support vector machines for land cover change detection: An application for mapping urban extensions," ISPRS J. Photogramm. Remote Sens., vol. 61, pp. 125-133, Nov. 2006
36. F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machine," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004
37. M. A.Wulder, S.M. Ortlepp, J. C. White, N. C. Coops, and S. B. Coggins, "Monitoring tree-level insect population dynamics with multi-scale and multi-source remote sensing," J. Spat. Sci., vol. 53, pp. 49-61, Jun. 1, 2008
38. I. Niemeyer, P. R. Marpu, and S. Nussbaum, "Change detection using object features," in Object-Based Image Analysis, T. Blaschke, S. Lang, and G. Hay, Eds. New York, NY, USA: Springer, 2008, pp. 185-201
39. S. Bontemps, P. Bogaert, N. Titeux, and P. Defourny, "An object-based change detection method accounting for temporal dependences in time series with medium to coarse spatial resolution," Remote Sens. Environ., vol. 112, pp. 3181-3191, Jun. 2008
40. D. Flanders, M. Hall-Beyer, and J. Pereverzoff, "Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction," Can. J. Remote Sens., vol. 29, pp. 441-452, Aug. 2003
41. T. G. Whiteside, G. S. Boggs, and S.W. Maier, "Comparing object-based and pixel-based classifications for mapping savannas," Int. J. Appl. Earth Observ. Geoinf., vol. 13, pp. 884-893, Dec. 2011
42. N. R. Pal and S. K. Pal, "A review on image segmentation techniques," Pattern Recognit., vol. 26, pp. 1277-1294, Sep. 1993
43. L. Dragut, D. Tiede, and S. R. Levick, "ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data," Int. J. Geogr. Inf. Sci., vol. 24, pp. 859-871, Apr. 2010
44. B. W. Heumann, "An object-based classification of mangroves using a hybrid decision tree-Support vector machine approach," Remote Sens., vol. 3, pp. 2440-2460, 2011
45. B. W. Heumann, "Satellite remote sensing of mangrove forests: Recent advances and future opportunities," Prog. Phys. Geogr., vol. 35, pp. 87-108, Feb. 2011
46. Q. Vo, N. Oppelt, P. Leinenkugel, and C. Kuenzer, "Remote sensing in mapping mangrove ecosystems-An object-based approach," Remote Sens., vol. 5, pp. 183-201, 2013
47. M. Kamal and S. Phinn, "Hyperspectral data for mangrove species mapping: A comparison of pixel-based and object-based approach," Remote Sens., vol. 3, pp. 2222-2242, 2011
48. L. Dingle Robertson and D. J. King, "Comparison of pixel-And objectbased classification in land cover change mapping," Int. J. Remote Sens., vol. 32, pp. 1505-1529, Mar. 2011
49. B. Desclée, P. Bogaert, and P. Defourny, "Forest change detection by statistical object-based method," Remote Sens. Environ., vol. 102, pp. 1-11, May 2006
50. H. Lingcao, Z. Quo, and L. Yang, "An object-based change detection approach by integrating intensity and texture differences," in Proc. 2nd Int. Asia Conf. Informat. Control Autom. Robot. (CAR), 2010, pp. 258-261
51. S. W. Myint, P. Gober, A. Brazel, S. Grossman-Clarke, and Q. Weng, "Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery," Remote Sens. Environ., vol. 115, pp. 1145-1161, May 2011
52. D. C. Duro, S. E. Franklin, and M. G. Dubé, "A comparison of pixelbased and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery," Remote Sens. Environ., vol. 118, pp. 259-272, Mar. 2012
53. C. A. Berlanga-Robles and A. Ruiz-Luna, "Land use mapping and change detection in the coastal zone of northwest Mexico using remote sensing techniques," J. Coastal Res., vol. 18, pp. 514-522, 2002
54. World Bank, "Project information document: Coastal wetlands protection and development project,"World Bank,Washington, DC, USA, Rep. no. PID2789, 1999
55. GSO, Statistical Yearbook of Vietnam. Hanoi, Vietnam: General Statistics Office of Vietnam, 2012
56. P. Jacques, M. Jean-Louis, and T. A. Nguyen, "Shrimp farming sustainability in the Mekong Delta: Environmental and technical approaches," in Proc. Workshop Held in Travinh (Vietnam), Tra Vinh, Vietnam, Mar. 2002, 54 p
57. VNEPA, "Overview of Wetlands Status in Viet Nam Following 15 Years of Ramsar Convention Implementation," Hanoi, Vietnam: Viet Nam Environment Protection Agency, 2005
58. C. Song, C. E.Woodcock, K. C. Seto,M. P. Lenney, and S. A.Macomber, "Classification and change detection using Landsat tm data: When and how to correct atmospheric effects?" Remote Sens. Environ., vol. 75, pp. 230-244, Feb. 2001
59. J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis: An Introduction, 4th ed. New York, NY, USA: Springer, 2006, p. 439
60. M. Baatz and A. Schäpe, "Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation," in Proc. Angewandte Geographische Informations verarbeitung XII. Beiträgezum AGIT-Symposium Salzburg, Karlsruhe, Germany: Herbert Wichmann Verlag, 2000, pp. 12-23
61. J. R. Jensen, Introductory Digital Image Processing: A Remote Sensing Perspective: Englewood Cliffs, NJ, USA: Prentice Hall, 2005
62. Trimble, eCognition Developer 8.7 Reference Book, Munchen, Germany: Trimble, 2011
63. N. Preston and H. Clayton, Rice-Shrimp Farming in the Mekong Delta: Biophysical and Socioeconomic Issues. Canberra, Australia: Australian Centre for International Agricultural Research, 2003
64. D. J. Johnston, B. F. Clough, M. J. Phillips, and T. T. Xuan, "Mixed shrimp-mangrove forestry farming systems in Ca Mau Province, Vietnam," Aquacult. Asia, vol. 4, pp. 6-12, 1999
65. T. H. Minh, A. Yakupitiyage, and D. J. Macintosh, "Management of the integrated mangrove aquaculture farming systems in the Mekong Delta of Vietnam," in ITCZM Monograph. Pathumthani, Thailand: Asian Institute of Technology, 2001
66. F. G. Renaud and C. Kuenzer, The Mekong Delta System: Interdisciplinary Analyses of a River Delta. New York, NY, USA: Springer, 2012
67. P. Chaudhry and G. Ruysschaert, "Climate change and human development in Viet Nam," United Nations Development Program (UNDP), Sterling, VA, USA, Rep. no. HDOCPA-2007-46, 2007
68. C. T. Hoanh, Environment and Livelihoods in Tropical Coastal Zones: Managing Agriculture-Fishery-Aquaculture Conflicts.Wallingford, U.K.: CABI, 2006
69. T. P. Tuong et al., "Impact of seawater intrusion control on the environment, land use and household incomes in a coastal area," Paddy Water Environ., vol. 1, pp. 65-73, 2003
70. UNESCO-MAB, MuiCa Mau Biosphere Reserve, UNESCO-MAB Biosphere Reserve Directory: Paris, France, 2009
71. C. T. Hoanh et al., "Livelihood impacts of water policy changes: Evidence from a coastal area of the Mekong river delta," Water Policy, vol. 5, pp. 475-488, 2003
72. T. P. Tuong et al., "Impact of seawater intrusion control on the environment, land use and household incomes in a coastal area," Paddy andWater Environ., vol. 1, pp. 65-73, 2003