Understanding land-cover change dynamics of a mangrove ecosystem at the village level in Krabi Province, Thailand, using Landsat data

References

• Aksornkoae, S., and R. Tokrisna. 2004. “Overview of Shrimp Farming and Mangrove Loss in Thailand.” In Shrimp Farming and Mangrove Loss in Thailand, edited by E. Barbier and S. Sathirathai, 37–51. London: Edward Elgar.
   Google Scholar
• Alongi, D. 2002. “Present State and Future of the World’s Mangrove Forests.” Environmental Conservation 29 (3): 331–349. doi:10.1017/S0376892902000231.
   Web of Science ®Google Scholar
• Alonso-Pérez, F., A. Ruiz-Luna, J. Turner, C. Berlanga-Robles, and G. Mitchelson-Jacob. 2003. “Land Cover Changes and Impact of Shrimp Aquaculture on the Landscape in the Ceuta Coastal Lagoon System, Sinaloa, Mexico.” Ocean & Coastal Management 46: 583–600. doi:10.1016/S0964-5691(03)00036-X.
   Web of Science ®Google Scholar
• Anderson, J., E. Hardy, J. Roach, and R. Witmer. 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. USGS Professional Paper 964. Sioux Falls, SD: US Geological Survey.
   Google Scholar
• Barbier, E., and I. Strand. 1998. “Valuing Mangrove-Fishery Linkages: A Case Study of Campeche, Mexico.” Environmental and Resource Economics 12: 151–166. doi:10.1023/A:1008248003520.
   Web of Science ®Google Scholar
• Barraclough, S., and A. Finger-Stich. 1996. “Some Ecological and Social Implications of Commercial Shrimp Farming in Asia.” United Nations Research Institute for Social Development. Accessed February 16, 2014. http://www.unrisd.org/80256B3C005BCCF9/(httpAuxPages)/A90A3147DD72ACC480256B67005B6935/$file/dp74.pdf
   Google Scholar
• Blasco, F., T. Gauquelin, M. Rasolofoharinoro, J. Denis, M. Aizpuru, and V. Caldairou. 1998. “Recent Advances in Mangrove Studies Using Remote Sensing Data.” Marine and Freshwater Research 49 (4): 287–296. doi:10.1071/MF97153.
   Web of Science ®Google Scholar
• Christensen, B. 1983. “Mangroves: What are They Worth?” Unasylva – UN International Journal of Forestry and Forest Industries 35: 2–15.
   Google Scholar
• Cohen, W., M. Fiorella, J. Gray, E. Helmer, and K. Anderson. 1998. “An Efficient and Accurate Method for Mapping Forest Clearcuts in the Pacific Northwest Using Landsat Imagery.” Photogrammetric Engineering & Remote Sensing 64 (4): 293–300.
   Web of Science ®Google Scholar
• Congalton, R., and Green. 1999. Assessing the Accuracy of Classifications of Remotely Sensed Data: Principle and Practices, 137. Boca Raton, FL: Lewis.
   Google Scholar
• Congalton, R., and R. Mead. 1983. “A Quantitative Method to Test for Consistency and Correctness in Photo Interpretation.” Photogrammetric Engineering & Remote Sensing 49 (1): 69–74.
   Web of Science ®Google Scholar
• Cooley, R. 1999. “Shrimp Aquaculture, Coastal Communities, and Competing Stakeholders: Applying Cultural Models to Coastal Zone Management.” Culture & Agriculture 21 (2): 13–18. doi:10.1525/cag.1999.21.2.13.
   Google Scholar
• Coppin, P., I. Jonckheer, K. Nackaerts, B. Muys, and E. Lambin. 2004. “Review Article Digital Change Detection Methods in Ecosystem Monitoring: A Review.” International Journal of Remote Sensing 25 (9): 1565–1596. doi:10.1080/0143116031000101675.
   Web of Science ®Google Scholar
• Cowardin, L., V. Carter, F. Golet, and E. Laroe. 1979. “Classification of Wetlands and Deepwater Habitats of the United States.” Fish and Wildlife Services. Accessed February 16, 2014. http://www.fws.gov/wetlands/Documents/Classification-of-Wetlands-and-Deepwater-Habitats-of-the-United-States.pdf
   Google Scholar
• Dahdouh-Guebas, F. 2002. “The Use of Remote Sensing and GIS in the Sustainable Management of Tropical Coastal Ecosystems.” Environment, Development and Sustainability 4: 93–112. doi:10.1023/A:1020887204285.
   Google Scholar
• Dahdouh-Guebas, F., T. Zetterström, P. Rönnbäck, M. Troell, A. Wickramasinghe, and N. Koedam. 2002. “Recent Changes in Land-Use in the Pambala-Chilaw Lagoon Complex (Sri Lanka) Investigated Using Remote Sensing and GIS: Conservation of Mangroves Vs. Development of Shrimp Farming.” Environment, Development and Sustainability 4: 185–200. doi:10.1023/A:1020854413866.
   Google Scholar
• Dierberg, F., and W. Kiattisimkul. 1996. “Issues, Impacts and Implications of Shrimp Aquaculture in Thailand.” Environmental Management 20: 649–666. doi:10.1007/BF01204137.
   PubMed Web of Science ®Google Scholar
• FAO. 2007. “The Words Wangroves 1980-2005.” Food and Agriculture Organization of the United Nations. Accessed February 16, 2014. http://www.fao.org/docrep/010/a1427e/a1427e00.htm
   Google Scholar
• FAO/NACA/UNEP/WB/WWF. 2006. “International Principles for Responsible Shrimp Farming.” Network of Aquaculture Centres in Asia-Pacific. Accessed February 16, 2014. http://www.enaca.org/modules/library/publication.php?publication_id=735
   Google Scholar
• Feinstein, A. 1998. “Kappa Test of Concordance.” In Encyclopedia of Statistical Sciences, edited by K. Samuel, C. Read, and D. Banks, 351–352. New York: Wiley-InterScience.
   Google Scholar
• Foody, G. 2002. “Status of Land Cover Classification Accuracy Assessment.” Remote Sensing of Environment 80: 185–201. doi:10.1016/S0034-4257(01)00295-4.
   Web of Science ®Google Scholar
• Giri, C., Z. Zhu, L. Tieszen, A. Singh, S. Gillette, and J. Kelmelis. 2007. “Mangrove Forest Distributions and Dynamics (1975–2005) of the Tsunami-Affected Region of Asia.” Journal of Biogeography 35 (3): 519–528. doi:10.1111/j.1365-2699.2007.01806.x.
   Web of Science ®Google Scholar
• Hernandez-Cornejo, R., R. Koedam, R. Luna, M. Troell, and F. Dahdouh-Guebas. 2005. “Remote Sensing and Ethnobotanical Assessment of the Mangrove Forest Change in the Navachiste-San Ignacio-Macapule Lagoon Complex, Sinaloa, Mexico.” Ecology and Society 10 (1): 1–16.
   Google Scholar
• Huitric, M., C. Folke, and N. Kautsky. 2002. “Development and Government Policies of the Shrimp Farming Industry in Thailand in Relation to Mangrove Ecosystems.” Ecological Economics 40 (3): 441–455. doi:10.1016/S0921-8009(02)00011-3.
   Web of Science ®Google Scholar
• Hussain, S., and R. Badola. 2010. “Valuing Mangrove Benefits: Contribution of Mangrove. Forests to Local Livelihoods in Bhitarkanika Conservation Area, East Coast of India.” Wetlands Ecology and Management 18: 321–331. doi:10.1007/s11273-009-9173-3.
   Web of Science ®Google Scholar
• Jensen, J. 2005. Introductory Digital Image Processing: A Remote Sensing Perspective. Upper Saddle River, NJ: Pearson Prentice Hall.
   Google Scholar
• Jensen, J., S. Narumalani, O. Weatherbee, and H. Mackey. 1993. “Measurement of Seasonal and Yearly Cattail and Waterlily Changes Using Multidate SPOT Panchromatic Data.” Photogrammetric Engineering and Remote Sensing 59: 519–525.
   Web of Science ®Google Scholar
• Kaplowitz, M. 2000. “Identifying Ecosystem Services Using Multiple Methods: Lessons from the Mangrove Wetlands of Yucatan, Mexico.” Agriculture and Human Values 17: 169–179. doi:10.1023/A:1007669404425.
   Google Scholar
• Kathiresan, K., and S. Qasim. 2002. Biodiversity of Mangrove Ecosystems. New Delhi: Hindustan Publishing Corporation.
   Google Scholar
• Kennedy, R., W. Cohen, A. Kirschbaum, and E. Haunreiter. 2007. “Protocol for Landsat-Based Monitoring of Landscape Dynamics at North Coast and Cascades Network Parks: U.S. Geological Survey Techniques and Methods 2-G1.” United States Geological Survey. Accessed February 16, 2014. http://pubs.usgs.gov/tm/2007/tm2g1/pdf/tm2g1.pdf
   Google Scholar
• Kongsanchai, J. 1994. “Conversion of Mangroves into Other Uses in Thailand.” In Proceedings of the Workshop on International Tropical Timber Organization Project, 30–38. Yokohama: International Tropical Timber Council.
   Google Scholar
• Kuenzer, C., A. Bluemel, S. Gebhardt, T. Quoc, and S. Dech. 2011. “Remote Sensing of Mangrove Ecosystems: A Review.” Remote Sensing 3: 878–928. doi:10.3390/rs3050878.
   Web of Science ®Google Scholar
• Lambin, E., and A. Strahler. 1994. “Change-Vector Analysis in Multitemporal Space: A Tool to Detect and Categorize Land-Cover Change Processes Using High Temporal-Resolution Satellite Data.” Remote Sensing of Environment 48: 231–244. doi:10.1016/0034-4257(94)90144-9.
   Web of Science ®Google Scholar
• Landis, J., and G. Koch. 1977. “The Measurement of Observer Agreement for Categorical Data.” Biometrics 33: 159–174. doi:10.2307/2529310.
   PubMed Web of Science ®Google Scholar
• Loveland, T., and A. Belward. 1997. “The International Geosphere-Biosphere Programme Data and Information System Global Land Cover Data Set (Discover).” Acta Astronautica 41 (4–10): 681–689. doi:10.1016/S0094-5765(98)00050-2.
   Web of Science ®Google Scholar
• Lu, D., P. Mausel, E. Brondízio, and E. Moran. 2004. “Change Detection Techniques.” International Journal of Remote Sensing 25 (12): 2365–2401. doi:10.1080/0143116031000139863.
   Web of Science ®Google Scholar
• Mas, J. 1999. “Monitoring Land-Cover Changes: A Comparison of Change Detection Techniques.” International Journal of Remote Sensing 20 (1): 139–152. doi:10.1080/014311699213659.
   Web of Science ®Google Scholar
• Mckee, K., and P. Faulkner. 2000. “Mangrove Peat Analysis and Reconstruction of Vegetation History at the Pelican Cays, Belize.” Atoll Research Bulletin 468: 47–58. doi:10.5479/si.00775630.468.47.
   Google Scholar
• Pons, X., P. Serra, and D. Sauri. 2003. “A Rigorous Protocol for Post-Classification Land Cover and Land Use Change Detection.” In Geoinformation for European-Wide Integration, edited by T. Benes. Rotterdam: Millpress.
   Google Scholar
• Ramsey, E., and J. Jensen. 1996. “Remote Sensing of Mangrove Wetlands: Relating Canopy Spectra to Site-Specific Data.” Photogrammetric Engineering & Remote Sensing 62 (8): 939–948.
   Web of Science ®Google Scholar
• Robinson, J. 1979. A Critical Review of the Change Detection and Urban Classification Literature. Technical Memorandum CSCjTM-7916235. Maryland, MD: Computer Sciences Corporation, Silver Springs.
   Google Scholar
• Rönnbäck, P., B. Crona, and L. Ingwall. 2007. “The Return of Ecosystem Goods and Services in Replanted Mangrove Forests: Perspectives from Local Communities in Kenya.” Environmental Conservation 34: 313–324. doi:10.1017/S0376892907004225.
   Web of Science ®Google Scholar
• Sathirathai, S., and E. Barbier. 2001. “Valuing Mangrove Conservation in Southern Thailand.” Contemporary Economic Policy 19 (2): 109–122. doi:10.1111/j.1465-7287.2001.tb00054.x.
   Web of Science ®Google Scholar
• Singh, A. 1989. “Review Article Digital Change Detection Techniques Using Remotely-Sensed Data.” International Journal of Remote Sensing 10: 989–1003. doi:10.1080/01431168908903939.
   Web of Science ®Google Scholar
• Spalding, M., M. Kainuma, and L. Collins. 2010. World Atlas of Mangroves. London: Earthscan.
   Google Scholar
• Stonich, S. 1995. “The Environmental Quality and Social Justice Implications of Shrimp Mariculture Development in Honduras.” Human Ecology 23 (2): 143–168. doi:10.1007/BF01191647.
   Web of Science ®Google Scholar
• Stow, D., L. Tinney, and J. Estes. 1980. Deriving Land Use/Land Cover Change Statistics from Landsat: A Study of Prime Agricultural Land. In Proceedings of the 14th International Symposium on Remote Sensing of Environment held in Ann Arbor in 1980, 1227–1237. Ann Arbor, MI: Environmental Research Institute of Michigan.
   Google Scholar
• Sunar, F. 1998. “An Analysis of Changes in a Multi-Date Data Set: A Case Study in the Ikitelli Area, Istanbul, Turkey.” International Journal of Remote Sensing 19 (2): 225–235. doi:10.1080/014311698216215.
   Web of Science ®Google Scholar
• Tucker, C. J., D. M. Grant, and J. D. Dykstra. 2004. “NASA’s Global Orthorectified Landsat Data Set.” Photogrammetric Engineering & Remote Sensing 70 (3): 313–322. doi:10.14358/PERS.70.3.313.
   Web of Science ®Google Scholar
• Upadhyay, V., R. Ranjan, and J. Singh. 2002. “Human-Mangrove Conflicts: The Way Out.” Current Science 83 (11): 1328–1336.
   Web of Science ®Google Scholar
• Vo, Q., C. Kuenzer, Q. Voc, F. Moderd, and N. Oppelte. 2012. “Review of Valuation Methods for Mangrove Ecosystem Services.” Ecological Indicators 23: 431–446. doi:10.1016/j.ecolind.2012.04.022.
   Web of Science ®Google Scholar
• Vo, Q., N. Oppelt, P. Leinenkugel, and C. Kuenzer. 2013. “Remote Sensing in Mapping Mangrove Ecosystems – An Object-Based Approach.” Remote Sensing 5: 183–201. doi:10.3390/rs5010183.
   Web of Science ®Google Scholar
• WWF. 2008. “Climate Change Impacts in Krabi province, Thailand.” World Wildlife Fund. Accessed February 16, 2014. http://startcc.iwlearn.org/doc/Doc_eng_11.pdf
   Google Scholar
• Xiuwan, X. 2002. “Using Remote Sensing and GIS to Analyse Land Cover Change and its Impacts on Regional Sustainable Development.” International Journal of Remote Sensing 23 (1): 107–124. doi:10.1080/01431160010007051.
   Web of Science ®Google Scholar