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Volumn 6752, Issue PART 1, 2007, Pages

Mapping grass communities based on multi-temporal Landsat TM imagery and environmental variables

Author keywords

Artificial neural network; Decision tree; Grass community; Maximum likelihood classification; Poyang Lake Natural Reserve

Indexed keywords

DECISION TREES; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; SATELLITE IMAGERY; WETLANDS;

EID: 36248950269     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.760497     Document Type: Conference Paper
Times cited : (2)

References (33)
  • 3
    • 0001901013 scopus 로고
    • Image Geometry and Rectification
    • Chapter 21 in The Sensing. R. N. Colwell, ed, Bethesda, MD. American Society of Photogrammetry
    • Bernstein, R. (1983). Image Geometry and Rectification. Chapter 21 in The Manual of Remote Sensing. R. N. Colwell, ed., Bethesda, MD. American Society of Photogrammetry, 1, 875-881.
    • (1983) Manual of Remote , vol.1 , pp. 875-881
    • Bernstein, R.1
  • 8
    • 0033571977 scopus 로고    scopus 로고
    • Relationships of some ecological factors with the associations of vegetation in British rivers
    • Dawson, F. H., & Szoszkiewicz, K., ,. (1999). Relationships of some ecological factors with the associations of vegetation in British rivers. Hydrobiologia, 415, 117 - 122.
    • (1999) Hydrobiologia , vol.415 , pp. 117-122
    • Dawson, F.H.1    Szoszkiewicz, K.2
  • 9
    • 0036094212 scopus 로고    scopus 로고
    • Phenological differences in Tasseled Cap indices improve deciduous forest classification
    • Dymond, C. C., Mladenoff, D. J., & Radeloff, V. C. (2002). Phenological differences in Tasseled Cap indices improve deciduous forest classification. Remote Sensing of Environment, 80(3), 460-472.
    • (2002) Remote Sensing of Environment , vol.80 , Issue.3 , pp. 460-472
    • Dymond, C.C.1    Mladenoff, D.J.2    Radeloff, V.C.3
  • 10
    • 0037696635 scopus 로고    scopus 로고
    • Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn
    • Goel, P. K., Prasher, S. O., Patel, R. M., Landry, J. A., Bonnell, R. B., & Viau, A. A. (2003). Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn. Computers and Electronics in Agriculture, 39, 67-93.
    • (2003) Computers and Electronics in Agriculture , vol.39 , pp. 67-93
    • Goel, P.K.1    Prasher, S.O.2    Patel, R.M.3    Landry, J.A.4    Bonnell, R.B.5    Viau, A.A.6
  • 11
    • 0035888390 scopus 로고    scopus 로고
    • Vegetation mapping of a tropical freshwater swamp in the Northern Territory, Australia: A comparison of aerial photography, Landsat TM and SPOT satellite imagery
    • Harvey, K. R., & Hill, G. J. E. (2001). Vegetation mapping of a tropical freshwater swamp in the Northern Territory, Australia: a comparison of aerial photography, Landsat TM and SPOT satellite imagery. International Journal of Remote Sensing, 22, 2911 - 2925.
    • (2001) International Journal of Remote Sensing , vol.22 , pp. 2911-2925
    • Harvey, K.R.1    Hill, G.J.E.2
  • 13
    • 0037202454 scopus 로고    scopus 로고
    • Which is the optimal sampling strategy for habitat suitability modelling
    • Hirzel, A., & Guisan, A. (2002). Which is the optimal sampling strategy for habitat suitability modelling. Ecological Modelling, 157(2-3), 331-341.
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 331-341
    • Hirzel, A.1    Guisan, A.2
  • 14
    • 0018911487 scopus 로고
    • Multispectral aerial photography for wetland vegetation mapping
    • Howland, W. G. (1980). Multispectral aerial photography for wetland vegetation mapping. Photogrammetric Engineering and Remote Sensing., 46(87-99).
    • (1980) Photogrammetric Engineering and Remote Sensing , vol.46 , Issue.87-99
    • Howland, W.G.1
  • 15
    • 0029340490 scopus 로고
    • Delineation of Inundated Area and Vegetation Along the Amazon Floodplain with the SIR-C Synthetic Aperture Radar
    • Laura, L. H., John, M. M., Solange, F., & Yong, W. (1995). Delineation of Inundated Area and Vegetation Along the Amazon Floodplain with the SIR-C Synthetic Aperture Radar. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 33(4), 896-904.
    • (1995) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , vol.33 , Issue.4 , pp. 896-904
    • Laura, L.H.1    John, M.M.2    Solange, F.3    Yong, W.4
  • 17
    • 0032724134 scopus 로고    scopus 로고
    • Application of multi-temporal Landsat 5 TM imagery for wetland identification. PE&RS
    • Lunetta, R. S., & Balogh, M. E. (1999). Application of multi-temporal Landsat 5 TM imagery for wetland identification. PE&RS - Photogrammetric Engineering & Remote Sensing, 65(11), 1303-1310.
    • (1999) Photogrammetric Engineering & Remote Sensing , vol.65 , Issue.11 , pp. 1303-1310
    • Lunetta, R.S.1    Balogh, M.E.2
  • 18
    • 0025232059 scopus 로고
    • Floodplain vegetation phenology in the Southeast USA: Optimizing the timing of aerial imagery acquisition
    • Mathews, N. E., & Dyer, K. W. (1990). Floodplain vegetation phenology in the Southeast USA: Optimizing the timing of aerial imagery acquisition. Wetlands Ecology and Management, 1(2), 65 - 72.
    • (1990) Wetlands Ecology and Management , vol.1 , Issue.2 , pp. 65-72
    • Mathews, N.E.1    Dyer, K.W.2
  • 19
    • 0037202441 scopus 로고    scopus 로고
    • Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence
    • Miller, J., & Franklin, J. (2002). Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence. Ecological Modelling, 157(2-3), 227-247.
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 227-247
    • Miller, J.1    Franklin, J.2
  • 20
    • 0029341018 scopus 로고
    • A Detailed Comparison of Backpropagation Neural Network and Maximum-Likelihood Classifiers for Urban Land Use Classification
    • Paola, J. D., & Schowengerdt, R. A. (1995). A Detailed Comparison of Backpropagation Neural Network and Maximum-Likelihood Classifiers for Urban Land Use Classification. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 33(4).
    • (1995) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , vol.33 , Issue.4
    • Paola, J.D.1    Schowengerdt, R.A.2
  • 21
    • 36248978439 scopus 로고    scopus 로고
    • Phinn, S., Hess, L. L., & Finlayson, C. M. (1998). An Assessment of the Usefulness of Remote Sensing for Wetland Monitoring and Inventory in Australia?
    • Phinn, S., Hess, L. L., & Finlayson, C. M. (1998). An Assessment of the Usefulness of Remote Sensing for Wetland Monitoring and Inventory in Australia?
  • 22
    • 0002316952 scopus 로고
    • A review of wetland inventory and classification in Australia
    • Pressey, R. L., & Adam, P. (1995). A review of wetland inventory and classification in Australia. Plant Ecology, 118(1-2), 81-101.
    • (1995) Plant Ecology , vol.118 , Issue.1-2 , pp. 81-101
    • Pressey, R.L.1    Adam, P.2
  • 24
    • 0036221284 scopus 로고    scopus 로고
    • A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery
    • Rogan, J., Franklin, J., & Roberts, D. A. (2002). A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery. Remote Sensing of Environment, 80(1), 143-156.
    • (2002) Remote Sensing of Environment , vol.80 , Issue.1 , pp. 143-156
    • Rogan, J.1    Franklin, J.2    Roberts, D.A.3
  • 25
    • 0027333870 scopus 로고
    • Two indices to characterize temporal patterns in the spectral response of vegetation
    • Samson, S. A. (1993). Two indices to characterize temporal patterns in the spectral response of vegetation. Photogrammetric Engineering & Remote Sensing, 59(4), 511-517.
    • (1993) Photogrammetric Engineering & Remote Sensing , vol.59 , Issue.4 , pp. 511-517
    • Samson, S.A.1
  • 26
    • 2942590259 scopus 로고    scopus 로고
    • Effects of scale-dependent factors on herbaceous vegetation patterns in a wetland, northern Japan
    • Shiro, T., Akira, H., & Fusayuki, K. (2004). Effects of scale-dependent factors on herbaceous vegetation patterns in a wetland, northern Japan. Ecological Research, 19(3), 349 - 355.
    • (2004) Ecological Research , vol.19 , Issue.3 , pp. 349-355
    • Shiro, T.1    Akira, H.2    Fusayuki, K.3
  • 27
    • 0031923382 scopus 로고    scopus 로고
    • Classification of multi-temporal SPOT-XS satellite data for mapping rice fields on a West African floodplain
    • Turner, M. D., & Congalton, R. G. (1998). Classification of multi-temporal SPOT-XS satellite data for mapping rice fields on a West African floodplain. International Journal of Remote Sensing, 19, 21 - 41.
    • (1998) International Journal of Remote Sensing , vol.19 , pp. 21-41
    • Turner, M.D.1    Congalton, R.G.2
  • 29
    • 0037355447 scopus 로고    scopus 로고
    • Vogiatzakis, I. N., Griffiths, G. H., & Mannion, A. M. (2003). Environmental factors and vegetation composition, Lefka Ori massif, Crete, S. Aegean. Global Ecology & Biogeography, 12(2), 131-146.
    • Vogiatzakis, I. N., Griffiths, G. H., & Mannion, A. M. (2003). Environmental factors and vegetation composition, Lefka Ori massif, Crete, S. Aegean. Global Ecology & Biogeography, 12(2), 131-146.
  • 30
    • 36249022856 scopus 로고    scopus 로고
    • Watson, L., & Dallwitz, M. J. (1992). The grass genera of the world: descriptions, illustrations, identification, and information retrieval; including synonyms, morphology, anatomy, physiology, phytochemistry, cytology, classification, pathogens, world and local distribution, and references., from http://delta-intkey.com
    • Watson, L., & Dallwitz, M. J. (1992). The grass genera of the world: descriptions, illustrations, identification, and information retrieval; including synonyms, morphology, anatomy, physiology, phytochemistry, cytology, classification, pathogens, world and local distribution, and references., from http://delta-intkey.com
  • 31
    • 0028978288 scopus 로고
    • Improved forest classification in the northern lake states using multi-temporal landsat imagery
    • Wolter, P. T., Mladenoff, D. J., Host, G. E., & Crow, T. R. (1995). Improved forest classification in the northern lake states using multi-temporal landsat imagery. Photogrammetric Engineering & Remote Sensing, .61, 1129-1143.
    • (1995) Photogrammetric Engineering & Remote Sensing , vol.61 , pp. 1129-1143
    • Wolter, P.T.1    Mladenoff, D.J.2    Host, G.E.3    Crow, T.R.4
  • 32
    • 36248979421 scopus 로고    scopus 로고
    • Poyang Lake National Nature Reserve
    • Wu, Y., & Ji, W. (2002). Study on Jiangxi Poyang Lake National Nature Reserve.
    • (2002) Study on Jiangxi
    • Wu, Y.1    Ji, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.