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Original Articles

Classifying tropical deciduous vegetation: a comparison of multiple approaches in Popa Mountain Park, Myanmar

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Pages 8935-8948 | Received 12 Aug 2009, Accepted 09 Oct 2010, Published online: 14 Oct 2011

References

  • Brown de Colstoun , E.C. , Story , M.H. , Craig , T. , Kathy , C. , Timothy , S.G. and James , I.R. 2003 . National park vegetation mapping using multitemporal Landsat 7 data and a decision tree classifier . Remote Sensing of Environment , 85 : 316 – 327 .
  • De Jong , S.M. , Pebesma , E.J. and Lacaze , B. 2003 . Above-ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: the DAIS Peyne experiment . International Journal of Remote Sensing , 24 : 1505 – 1520 .
  • Dymond , C.C. , Mladenoff , D.J. and Radeloff , V.C. 2002 . Phenological differences in Tasseled Cap indices improve deciduous forest classification . Remote Sensing of Environment , 80 : 460 – 471 .
  • Egbert , S.L. , Ootega-Huerta , M. and Martinez-Meyer , E. 2000 . Time-series classification of high-temporal resolution AVHRR NDVI imagery of Mexico . Geoscience and Remote Sensing Symposium, 2000, IGARSS Proceedings . July 24–28 2000 , Honolulu , HL . pp. 1978 – 1980 . Washington , DC : IEEE International .
  • ERDAS . 2005 . ERDAS IMAGINE® Tour GuidesTM , Norcross , GA : Leica Geosystems Geospatial Imaging .
  • Forest Department . 1981 . Proposed Popa Mountain Park Master Plan 1982-84. BUR/80/ 006. Forest Department, Rangoon
  • Forest Department . 2003 . Forestry in Myanmar , Myanmar : Forest Department .
  • He , C. , Zhang , Q. and Li , Y. 2005 . Zoning grassland protection areas using remote sensing and cellular automata modeling – a case study in Xilingol steppe grassland in northern China . Journal of Arid Environments , 63 : 814 – 826 .
  • Ismail , M.H. and Jusoff , K. 2008 . Satellite data classification accuracy assessment based from a reference data set . International Journal of Computer and Information Science Engineering , 2 : 96 – 102 .
  • Janzen , D. 1988 . “ Tropical dry forests. The most endangered major tropical ecosystem ” . In Biodiversity , Edited by: Wilson , D.E. 130 – 137 . Washington , DC : National Academy Press .
  • Jensen , J.R. 1986 . Introductory Digital Image Processing: A Remote Sensing Perspective , Upper Saddle River , NJ : Prentice-Hall .
  • Joy , S.M. , Reich , R.M. and Reynolds , R.T. 2003 . A non-parametric supervised classification of vegetation types in the Kaibab National Forest using decision trees . International Journal of Remote Sensing , 24 : 1835 – 1852 .
  • Krishnaswamy , J. , Kiran , M.C. and Ganeshaiah , K.N. 2004 . Tree model based eco-climatic vegetation classification and fuzzy mapping in diverse tropical deciduous ecosystems using multi-season NDVI . International Journal of Remote Sensing , 25 : 1185 – 1205 .
  • Kuemmerle , T. , Radeloff , V.C. , Perzanowski , K. and Hostert , P. 2006 . Cross-border comparison of land cover and landscape pattern in Eastern Europe using a hybrid classification technique . Remote Sensing of Environment , 103 : 449 – 464 .
  • Lawrence , R.L. , Bunn , A. , Powell , S. and Zambon , M. 2004 . Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis . Remote Sensing of Environment , 90 : 331 – 336 .
  • Lawrence , R.L. and Labus , M. 2003 . Early detection of Douglas-fir beetle infestation with subcanopy resolution hyperspectral imagery . Western Journal of Applied Forestry , 18 : 202 – 206 .
  • Lawrence , R.L. and Wright , A. 2001 . The rule-based classification systems using classification and regression tree (CART) analyses . Photogrammetric Engineering and Remote Sensing , 67 : 1137 – 1143 .
  • Li , J , Lewis , J. , Rowland , J. , Tappan , G. and Tieszen , L.L. 2004 . Evaluation of land performance in Senegal using multi-temporal NDVI and rainfall series . Journal of Arid Environments , 59 : 463 – 480 .
  • Maindonald , J. and Braun , J. 2003 . Data Analysis and Graphics Using R: An Example-Based Approach , New York , NY : Cambridge University Press .
  • Martinez-Yrizar , A. , Sarukhan , J. , Perez-Jimenez , A. , Rincon , E. , Maass , J.M. , Solis-Magallanes , A. and Cervantes , L. 1992 . Above-ground phytomass of a tropical deciduous forest on the coast of Jalisco, Mexico . Journal of Tropical Ecology , 8 : 87 – 96 .
  • Pal , M. and Mather , P.M. 2003 . An assessment of the effectiveness of decision tree methods for land cover classification . Remote Sensing of Environment , 86 : 554 – 565 .
  • Pettorelli , N. , Vik , J.O. , Mysterud , A. , Gaillard , J. , Tucker , C.T. and Stenseth , N.C. 2005 . Using the satellite-derived NDVI to assess ecological responses to environmental change . Trends in Ecology and Evolution , 20 : 503 – 510 .
  • Ricchetti , E. 2000 . Multispectral satellite image and ancillary data for geological classification . Photogrammetric Engineering and Remote Sensing , 66 : 429 – 435 .
  • Rogan , J. , Miller , J. , Stow , D. , Franklin , J. , Levien , L. and Fischer , C. 2003 . Land cover change monitoring with classification trees using Landsat TM and ancillary data . Photogrammetric Engineering and Remote Sensing , 69 : 793 – 804 .
  • Singh , S. , Singh , T.P. and Srivastava , G. 2005 . Vegetation cover type mapping in Mouling National Park in Arunachal Pradesh, eastern Himalayas: an integrated geospatial approach . Journal of the Indian Society of Remote Sensing , 33 : 547 – 563 .
  • Thapa , R.B. and Murayama , Y. 2009 . Urban mapping, accuracy, and image classification: a comparison of multiple approaches in Tsukuba City, Japan . Applied Geography , 29 : 135 – 144 .
  • Trisurat , Y. , Eiumnoh , A. , Murai , S. , Hussain , M.Z. and Shrestha , R.P. 2000 . Improvement of tropical vegetation mapping using a remote sensing technique: a case study of Khao Yai National Park, Thailand . International Journal of Remote Sensing , 21 : 2031 – 2041 .
  • UNEP-WCMC, 2000, Global Forests Statistics (United Nations Environment Programme World Conservation Monitoring Centre). www.unep-wcmc.org/ forest/protection_statistics.htm (http://www.unep-wcmc.org/ forest/protection_statistics.htm)
  • Weiss , J.L. , Gutzler , D.S. , Coonrod , J.E.A. , Clifford , N. and Dahm , C.N. 2004 . Long-term vegetation monitoring with NDVI in a diverse semi-arid setting, central New Mexico, USA . Journal of Arid Environments , 58 : 249 – 272 .
  • Xie , Y. , Sha , Z. and Yu , M. 2008 . Remote sensing imagery in vegetation mapping: a review . Journal of Plant Ecology , 1 : 9 – 23 .
  • Yang , C. , Liu , J. , Zang , Z. and Wang , S. Mapping tropical forest vegetation from Landsat TM based on knowledge discovering . Geoscience and Remote Sensing Symposium, 2001, IGARSS Proceedings . July 9–13 2001 , Sydney , Australia. pp. 1675 – 1677 . New York : IEEE International .
  • Zambon , M. , Lawrence , R. , Bunn , A. and Powell , S. 2006 . Effect of alternative splitting rules on image processing using classification tree analysis . Photogrammetric Engineering and Remote Sensing , 72 : 25 – 30 .

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