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Volumn 2, Issue , 2015, Pages 7-13

Assessment of hyperspectral data analysis methods to classify tree species

Author keywords

Forest inventory; Hyperspectral remote sensing; Linear discriminant analysis; Tree species identification

Indexed keywords

DATA HANDLING; DISCRIMINANT ANALYSIS; FORESTRY; PLANTS (BOTANY); REGIONAL PLANNING; SILVER;

EID: 84988638309     PISSN: 16914031     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (25)
  • 1
    • 77952881448 scopus 로고    scopus 로고
    • Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation
    • Adam E., Mutanga O., Rugege D. (2010) Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation. Wetlands Ecology and Management, 18(3), pp. 281-296.
    • (2010) Wetlands Ecology and Management , vol.18 , Issue.3 , pp. 281-296
    • Adam, E.1    Mutanga, O.2    Rugege, D.3
  • 2
    • 84872315679 scopus 로고    scopus 로고
    • Evaluation of Broadband and Narrowband Vegetation Indices for the Identification of Archaeological Crop Marks
    • Agapiou A., Hadjimitsis D.G., Alexakis D.D. (2012) Evaluation of Broadband and Narrowband Vegetation Indices for the Identification of Archaeological Crop Marks. Remote sensing, 4(12), pp. 3892-3919.
    • (2012) Remote sensing , vol.4 , Issue.12 , pp. 3892-3919
    • Agapiou, A.1    Hadjimitsis, D.G.2    Alexakis, D.D.3
  • 3
    • 84873619133 scopus 로고    scopus 로고
    • Identifying Santa Barbara's urban tree species from AVIRIS imagery using canonical discriminant analysis
    • Alonzo M., Roth K., Dar R. (2013) Identifying Santa Barbara's urban tree species from AVIRIS imagery using canonical discriminant analysis. Remote Sensing Letters, Vol. 4, No. 5, pp. 513-521.
    • (2013) Remote Sensing Letters , vol.4 , Issue.5 , pp. 513-521
    • Alonzo, M.1    Roth, K.2    Dar, R.3
  • 4
    • 0036788865 scopus 로고    scopus 로고
    • Remote sensing of forest pigments using airborne imaging spectometer and LIDAR imagery
    • Blackburn G.A. (2002) Remote sensing of forest pigments using airborne imaging spectometer and LIDAR imagery. Remote Sensing of Environment, 82, pp. 311-321.
    • (2002) Remote Sensing of Environment , vol.82 , pp. 311-321
    • Blackburn, G.A.1
  • 5
    • 33847670560 scopus 로고    scopus 로고
    • Hyperspectral remote sensing of plant pigments
    • Blackburn G.A. (2007) Hyperspectral remote sensing of plant pigments. Journal of Experimental Botany, 58(4), pp. 855-867.
    • (2007) Journal of Experimental Botany , vol.58 , Issue.4 , pp. 855-867
    • Blackburn, G.A.1
  • 7
    • 43949125818 scopus 로고    scopus 로고
    • Evaluation of Random Forest and Adaboost tree-based ensemble classification andspectral band selection for ecotope mapping using airborne hyperspectral imagery
    • Chan J.C.W., Paelinckx D. (2008) Evaluation of Random Forest and Adaboost tree-based ensemble classification andspectral band selection for ecotope mapping using airborne hyperspectral imagery. Remote Sensing of Environment, 112, pp. 2999-3011.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 2999-3011
    • Chan, J.C.W.1    Paelinckx, D.2
  • 8
    • 84864969220 scopus 로고    scopus 로고
    • Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier
    • Clark M.L., Roberts D.A. (2012) Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier. Remote Sensing, 4(6), pp. 1820-1855.
    • (2012) Remote Sensing , vol.4 , Issue.6 , pp. 1820-1855
    • Clark, M.L.1    Roberts, D.A.2
  • 9
    • 0034969185 scopus 로고    scopus 로고
    • Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies
    • Curran P.J., Dungan J.L., Peterson D.L. (2001) Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies, Remote Sensing of Enivironment, 76, pp. 349-359.
    • (2001) Remote Sensing of Enivironment , vol.76 , pp. 349-359
    • Curran, P.J.1    Dungan, J.L.2    Peterson, D.L.3
  • 10
    • 84907466792 scopus 로고    scopus 로고
    • Hyperspectral remote sensing of vegitation parameters using statistical and physical models
    • ITC Dissertation. International Institute for Geo-information Science & Earth Observation, Enschede, the Netherlands
    • Darvishzadeh R. (2008). Hyperspectral remote sensing of vegitation parameters using statistical and physical models. ITC Dissertation. International Institute for Geo-information Science & Earth Observation, Enschede, the Netherlands, 169 p.
    • (2008) , pp. 169
    • Darvishzadeh, R.1
  • 12
    • 80051490972 scopus 로고    scopus 로고
    • Performance Comparison of Methods for Tree Species Classification in Multispectral Images
    • Dinuls R., Lorencs A., Mednieks I. (2011) Performance Comparison of Methods for Tree Species Classification in Multispectral Images. Electronics and Electrical Engineering, 111(5), pp. 119-122.
    • (2011) Electronics and Electrical Engineering , vol.111 , Issue.5 , pp. 119-122
    • Dinuls, R.1    Lorencs, A.2    Mednieks, I.3
  • 13
    • 77951855172 scopus 로고    scopus 로고
    • A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment
    • Ghiyamat A., Shafri H.Z.M. (2008) A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment. International Journal of Remote Sensing, 31(7), pp. 1837-1856.
    • (2008) International Journal of Remote Sensing , vol.31 , Issue.7 , pp. 1837-1856
    • Ghiyamat, A.1    Shafri, H.Z.M.2
  • 14
    • 1842431418 scopus 로고    scopus 로고
    • Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
    • Haboudane D., Miller J.R., Pattey E., Zarco-Tejada P.J., Strachan I. B. (2004) Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment, 90, pp. 337-352.
    • (2004) Remote Sensing of Environment , vol.90 , pp. 337-352
    • Haboudane, D.1    Miller, J.R.2    Pattey, E.3    Zarco-Tejada, P.J.4    Strachan, I.B.5
  • 15
    • 40049094670 scopus 로고    scopus 로고
    • Review of Methods of Small-footprint Airborne Laser Scanning for Extracting Forest Inventory Data in Boreal Forests
    • Hyyppä J., Hyyppä H., Leckie D. (2008) Review of Methods of Small-footprint Airborne Laser Scanning for Extracting Forest Inventory Data in Boreal Forests. International Journal of Remote Sensing, 29, pp. 339-366.
    • (2008) International Journal of Remote Sensing , vol.29 , pp. 339-366
    • Hyyppä, J.1    Hyyppä, H.2    Leckie, D.3
  • 16
    • 84893399306 scopus 로고    scopus 로고
    • Incorporation of Allometry into Single-tree Remote Sensing with LIDAR and Multiple Areal Images
    • Department of Forest Resource Management, University of Helsinki, Finland.
    • Korpela I. (2006) Incorporation of Allometry into Single-tree Remote Sensing with LIDAR and Multiple Areal Images. Department of Forest Resource Management. University of Helsinki, Finland. p. 6.
    • (2006) , pp. 6
    • Korpela, I.1
  • 18
    • 84904440118 scopus 로고    scopus 로고
    • The influence of the growing season on the spectral reflectance properties of forest tree species
    • In: Treja S. and Skujniece S. (eds), Latvia University of Agriculture, Lielā ielā 2, Jelgava, Latvia
    • Masaitis G., Mozgeris G. (2013) The influence of the growing season on the spectral reflectance properties of forest tree species. In: Treja S. and Skujniece S. (eds) Research for Rural Development. Annual 19th ISC proceedings Vol. 2, Latvia University of Agriculture, Lielā ielā 2, Jelgava, Latvia, pp. 20-25.
    • (2013) Research for Rural Development. Annual 19th ISC proceedings , vol.2 , pp. 20-25
    • Masaitis, G.1    Mozgeris, G.2
  • 19
    • 84904436203 scopus 로고    scopus 로고
    • Treee species identification using Lidar and optical imagery
    • In: Treja S. and Skujniece S. (eds), Latvia University of Agriculture, Liela iela 2, Jelgava, Latvia
    • Prieditis G., Šmits I., Dagis S., Dubrovskis D. (2013) Treee species identification using Lidar and optical imagery. In: Treja S. and Skujniece S. (eds) Research for Rural Development. Annual 19th ISC proceedings Vol. 2, Latvia University of Agriculture, Liela iela 2, Jelgava, Latvia, pp. 34-42.
    • (2013) Research for Rural Development. Annual 19th ISC proceedings , vol.2 , pp. 34-42
    • Prieditis, G.1    Šmits, I.2    Dagis, S.3    Dubrovskis, D.4
  • 21
    • 2942724627 scopus 로고    scopus 로고
    • Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications
    • Thenkabail P.S., Enclona E.A., Ashton M.S., Van Der Meer B. (2004) Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications. Remote Sensing of Environment, vol. 91, pp. 354-376.
    • (2004) Remote Sensing of Environment , vol.91 , pp. 354-376
    • Thenkabail, P.S.1    Enclona, E.A.2    Ashton, M.S.3    Van Der Meer, B.4
  • 22
    • 0036274669 scopus 로고    scopus 로고
    • Evaluation of Narrowband and Broadband Vegetation Indices for Determining Optimal Hyperspectral Wavebands for Agricultural Crop Characterization
    • Thenkabail P.S., Smith R.B., De-Pauw E. (2002) Evaluation of Narrowband and Broadband Vegetation Indices for Determining Optimal Hyperspectral Wavebands for Agricultural Crop Characterization. Photogrammetric Engineering and Remote Sensing, 68(6), pp. 607-621.
    • (2002) Photogrammetric Engineering and Remote Sensing , vol.68 , Issue.6 , pp. 607-621
    • Thenkabail, P.S.1    Smith, R.B.2    De-Pauw, E.3
  • 23
    • 84904423553 scopus 로고    scopus 로고
    • Semiautomatic classification of tree species by means of multi-temporal airborne digital sensor data ADS40
    • Waser L.T., Baltsavias E., Ginzler C., Küchler M. (2010) Semiautomatic classification of tree species by means of multi-temporal airborne digital sensor data ADS40. In: ISPRS Technical Commission VII Symposium. Vol. 38 -Part 7B, pp. 633-638.
    • (2010) ISPRS Technical Commission VII Symposium , vol.38 , pp. 633-638
    • Waser, L.T.1    Baltsavias, E.2    Ginzler, C.3    Küchler, M.4
  • 25
    • 84874770189 scopus 로고    scopus 로고
    • Relationship between Hyperspectral Measurements and Mangrove Leaf Nitrogen Concentrations
    • Zhang C., Kovacs J. M., Wachowiak M.P., Flores-Verdugo F. (2013) Relationship between Hyperspectral Measurements and Mangrove Leaf Nitrogen Concentrations. Remote Sensing, 5(2), pp. 891-908.
    • (2013) Remote Sensing , vol.5 , Issue.2 , pp. 891-908
    • Zhang, C.1    Kovacs, J.M.2    Wachowiak, M.P.3    Flores-Verdugo, F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.