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Volumn 8, Issue 2, 2015, Pages 511-522

Joint use of ICESat/GLAS and landsat data in land cover classification: A case study in Henan Province, China

Author keywords

Classification; land cover; lidar; random forest (RF); support vector machines (SVMs); waveform metrics

Indexed keywords

ANEROID ALTIMETERS; DECISION TREES; OPTICAL RADAR; RADIO ALTIMETERS; SUPPORT VECTOR MACHINES;

EID: 85027940644     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2327032     Document Type: Article
Times cited : (24)

References (49)
  • 1
    • 0037500103 scopus 로고    scopus 로고
    • From space to species: Ecological applications for remote sensing
    • Jun.
    • J. T. Kerr and M. Ostrovsky, "From space to species: Ecological applications for remote sensing," Trends Ecol. Evol., vol. 18, no. 6, pp. 299-305, Jun. 2003.
    • (2003) Trends Ecol. Evol. , vol.18 , Issue.6 , pp. 299-305
    • Kerr, J.T.1    Ostrovsky, M.2
  • 2
    • 0242494415 scopus 로고    scopus 로고
    • Global percent tree cover at a spatial resolution of 500 meters: First results of the MODIS vegetation continuous fields algorithm
    • M. Hansen et al., "Global percent tree cover at a spatial resolution of 500 meters: First results of the MODIS vegetation continuous fields algorithm," Earth Interact., vol. 7, no. 10, pp. 1-15, 2003.
    • (2003) Earth Interact. , vol.7 , Issue.10 , pp. 1-15
    • Hansen, M.1
  • 3
    • 78049241035 scopus 로고    scopus 로고
    • Quantification of global gross forest cover loss
    • May
    • M. C. Hansen, S. V. Stehman, and P. V. Potapov, "Quantification of global gross forest cover loss," Proc. Nat. Acad. Sci. USA, vol. 107, no. 19, pp. 8650-8655, May 2010.
    • (2010) Proc. Nat. Acad. Sci. USA , vol.107 , Issue.19 , pp. 8650-8655
    • Hansen, M.C.1    Stehman, S.V.2    Potapov, P.V.3
  • 4
    • 80051985673 scopus 로고    scopus 로고
    • Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project
    • Dec.
    • M. C. Hansen et al., "Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project," Remote Sens. Lett., vol. 2, no. 4, pp. 279-288, Dec. 2011.
    • (2011) Remote Sens. Lett. , vol.2 , Issue.4 , pp. 279-288
    • Hansen, M.C.1
  • 5
    • 77951204760 scopus 로고    scopus 로고
    • Retrieving vegetation height of forests and woodlands over mountainous areas in the Pacific Coast region using satellite laser altimetry
    • Jul.
    • Q. Chen, "Retrieving vegetation height of forests and woodlands over mountainous areas in the Pacific Coast region using satellite laser altimetry," Remote Sens. Environ., vol. 114, no. 7, pp. 1610-1627, Jul. 2010.
    • (2010) Remote Sens. Environ. , vol.114 , Issue.7 , pp. 1610-1627
    • Chen, Q.1
  • 6
    • 77955499932 scopus 로고    scopus 로고
    • A global forest canopy height map from the moderate resolution imaging spectroradiometer and the geoscience laser altimeter system
    • Aug.
    • M. A. Lefsky, "A global forest canopy height map from the moderate resolution imaging spectroradiometer and the geoscience laser altimeter system," Geophys. Res. Lett., vol. 37, no. 15, pp. L15401-1-L15401-5, Aug. 2010.
    • (2010) Geophys. Res. Lett. , vol.37 , Issue.15 , pp. L154011-L154015
    • Lefsky, M.A.1
  • 7
    • 81755173018 scopus 로고    scopus 로고
    • Mapping forest canopy height globally with spaceborne lidar
    • Dec.
    • M. Simard, N. Pinto, J. B. Fisher, and A. Baccini, "Mapping forest canopy height globally with spaceborne lidar," J. Geophys. Res. Biogeosci., vol. 116, no. G4, pp. G04021-1-G04021-12, Dec. 2011.
    • (2011) J. Geophys. Res. Biogeosci. , vol.116 , Issue.G4 , pp. G040211-G0402112
    • Simard, M.1    Pinto, N.2    Fisher, J.B.3    Baccini, A.4
  • 8
    • 79957604355 scopus 로고    scopus 로고
    • Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data
    • Aug.
    • A. N. Li et al., "Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data," Remote Sens. Environ., vol. 115, no. 8, pp. 1837-1849, Aug. 2011.
    • (2011) Remote Sens. Environ. , vol.115 , Issue.8 , pp. 1837-1849
    • Li, A.N.1
  • 9
    • 0034986456 scopus 로고    scopus 로고
    • Laser altimeter canopy height profiles-Methods and validation for closed-canopy, broadleaf forests
    • Jun.
    • D. J. Harding, M. A. Lefsky, G. G. Parker, and J. B. Blair, "Laser altimeter canopy height profiles-Methods and validation for closed-canopy, broadleaf forests," Remote Sens. Environ., vol. 76, no. 3, pp. 283-297, Jun. 2001.
    • (2001) Remote Sens. Environ. , vol.76 , Issue.3 , pp. 283-297
    • Harding, D.J.1    Lefsky, M.A.2    Parker, G.G.3    Blair, J.B.4
  • 10
    • 84892849110 scopus 로고    scopus 로고
    • Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA
    • Mar.
    • H. Tang et al., "Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA," Remote Sens. Environ., vol. 143, pp. 131-141, Mar. 2014.
    • (2014) Remote Sens. Environ. , vol.143 , pp. 131-141
    • Tang, H.1
  • 11
    • 84872007801 scopus 로고    scopus 로고
    • Vegetation height and cover fraction between 60 and 60 from ICESatGLAS data
    • Mar.
    • S. O. Los et al., "Vegetation height and cover fraction between 60 and 60 from ICESatGLAS data," Geosci. Model Dev., vol. 5, no. 2, pp. 413-432, Mar. 2012.
    • (2012) Geosci. Model Dev. , vol.5 , Issue.2 , pp. 413-432
    • Los, S.O.1
  • 13
    • 36248980928 scopus 로고    scopus 로고
    • Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data
    • Jan.
    • G. Sun, K. J. Ranson, D. S. Kimes, J. B. Blair, and K. Kovacs, "Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data," Remote Sens. Environ., vol. 112, no. 1, pp. 107-117, Jan. 2008.
    • (2008) Remote Sens. Environ. , vol.112 , Issue.1 , pp. 107-117
    • Sun, G.1    Ranson, K.J.2    Kimes, D.S.3    Blair, J.B.4    Kovacs, K.5
  • 14
    • 79960351361 scopus 로고    scopus 로고
    • Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data
    • Mar.
    • J. J. Zhang, A. de Gier, Y. Q. Xing, and G. H. Sohn, "Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data," Photogramm. Eng. Remote Sens., vol. 77, no. 3, pp. 281-290, Mar. 2011.
    • (2011) Photogramm. Eng. Remote Sens. , vol.77 , Issue.3 , pp. 281-290
    • Zhang, J.J.1    De Gier, A.2    Xing, Y.Q.3    Sohn, G.H.4
  • 15
    • 58749088715 scopus 로고    scopus 로고
    • EstimatingSiberian timbervolume usingMODISandICESat/ GLAS
    • Mar.
    • R.Nelsonet al., "EstimatingSiberian timbervolume usingMODISandICESat/ GLAS," Remote Sens. Environ., vol. 113, no. 3, pp. 691-701, Mar. 2009.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.3 , pp. 691-701
    • Nelsonet Al., R.1
  • 16
    • 40049089331 scopus 로고    scopus 로고
    • Single and two epoch analysis of ICESat full waveform data over forested areas
    • Feb.
    • V. Duong, R. Lindenbergh, N. Pfeifer, and G. Vosselman, "Single and two epoch analysis of ICESat full waveform data over forested areas," Int. J. Remote Sens., vol. 29, no. 5, pp. 1453-1473, Feb. 2008.
    • (2008) Int. J. Remote Sens. , vol.29 , Issue.5 , pp. 1453-1473
    • Duong, V.1    Lindenbergh, R.2    Pfeifer, N.3    Vosselman, G.4
  • 17
    • 84858082018 scopus 로고    scopus 로고
    • Lake water footprint identification from timeseries ICESat/GLAS data
    • May
    • X. W. Wang et al., "Lake water footprint identification from timeseries ICESat/GLAS data," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 3, pp. 333-337, May 2012.
    • (2012) IEEE Geosci. Remote Sens. Lett. , vol.9 , Issue.3 , pp. 333-337
    • Wang, X.W.1
  • 18
    • 84873486794 scopus 로고    scopus 로고
    • Water-level changes in China's large lakes determined from ICESat/GLAS data
    • Feb.
    • X. Wang et al., "Water-level changes in China's large lakes determined from ICESat/GLAS data," Remote Sens. Environ., vol. 132, pp. 131-144, Feb. 2013.
    • (2013) Remote Sens. Environ. , vol.132 , pp. 131-144
    • Wang, X.1
  • 20
    • 82055178082 scopus 로고    scopus 로고
    • Trend analysis of building height and total floor space in Beijing, China using ICESat/GLAS data
    • Oct.
    • F. Cheng, C. Wang, J. Wang, F. Tang, and X. Xi, "Trend analysis of building height and total floor space in Beijing, China using ICESat/GLAS data," Int. J. Remote Sens., vol. 32, no. 23, pp. 8823-8835, Oct. 2011.
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.23 , pp. 8823-8835
    • Cheng, F.1    Wang, C.2    Wang, J.3    Tang, F.4    Xi, X.5
  • 21
    • 82055188345 scopus 로고    scopus 로고
    • ICESat laser full waveform analysis for the classification of land cover types over the cryosphere
    • Sep.
    • R. A. Molijn, R. C. Lindenbergh, and B. C. Gunter, "ICESat laser full waveform analysis for the classification of land cover types over the cryosphere," Int. J. Remote Sens., vol. 32, no. 23, pp. 8799-8822, Sep. 2011.
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.23 , pp. 8799-8822
    • Molijn, R.A.1    Lindenbergh, R.C.2    Gunter, B.C.3
  • 24
    • 84874479545 scopus 로고    scopus 로고
    • Quantifying tropical dry forest type and succession: Substantial improvement with LiDAR
    • Mar.
    • S. Martinuzzi et al., "Quantifying tropical dry forest type and succession: Substantial improvement with LiDAR," Biotropica, vol. 45, no. 2, pp. 135-146, Mar. 2013.
    • (2013) Biotropica , vol.45 , Issue.2 , pp. 135-146
    • Martinuzzi, S.1
  • 25
    • 79953227659 scopus 로고    scopus 로고
    • Multispectral and LiDAR data fusion for fuel type mapping using support vector machine and decision rules
    • Jun.
    • M.Garcia, D. Riano, E. Chuvieco, J. Salas, and F.M.Danson, "Multispectral and LiDAR data fusion for fuel type mapping using support vector machine and decision rules," Remote Sens. Environ., vol. 115, no. 6, pp. 1369-1379, Jun. 2011.
    • (2011) Remote Sens. Environ. , vol.115 , Issue.6 , pp. 1369-1379
    • Garcia, M.1    Riano, D.2    Chuvieco, E.3    Salas, J.4    Danson, F.M.5
  • 26
    • 77957321882 scopus 로고    scopus 로고
    • Landcover classification of small-footprint, full-waveform lidar data
    • Aug.
    • A. L. Neuenschwander, L. A. Magruder, and M. Tyler, "Landcover classification of small-footprint, full-waveform lidar data," J. Appl. Remote Sens., vol. 3, pp. 033544-033554, Aug. 2009.
    • (2009) J. Appl. Remote Sens. , vol.3 , pp. 033544-033554
    • Neuenschwander, A.L.1    Magruder, L.A.2    Tyler, M.3
  • 27
    • 34548846375 scopus 로고    scopus 로고
    • IntegratingLiDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis
    • E. W. Bork and J. G. Su, "IntegratingLiDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis," Remote Sens. Environ., vol. 111, no. 1, pp. 11-24, 2007.
    • (2007) Remote Sens. Environ. , vol.111 , Issue.1 , pp. 11-24
    • Bork, E.W.1    Su, J.G.2
  • 28
    • 80054769811 scopus 로고    scopus 로고
    • Combining optical satellite data and airborne laser scanner data for vegetation classification
    • Sep.
    • K. Nordkvist, A. H. Granholm, J. Holmgren, H. Olsson, and M. Nilsson, "Combining optical satellite data and airborne laser scanner data for vegetation classification," Remote Sens. Lett., vol. 3, no. 5, pp. 393-401, Sep. 2012.
    • (2012) Remote Sens. Lett. , vol.3 , Issue.5 , pp. 393-401
    • Nordkvist, K.1    Granholm, A.H.2    Holmgren, J.3    Olsson, H.4    Nilsson, M.5
  • 30
    • 29344451449 scopus 로고    scopus 로고
    • ICESat waveform measurements of within-footprint topographic relief and vegetation vertical structure
    • Oct.
    • D. J. Harding and C. C. Carabajal, "ICESat waveform measurements of within-footprint topographic relief and vegetation vertical structure," J. Geophys. Res. Lett., vol. 32, no. L21S10, Oct. 2005.
    • (2005) J. Geophys. Res. Lett. , vol.32 , Issue.L21S10
    • Harding, D.J.1    Carabajal, C.C.2
  • 31
    • 51049115736 scopus 로고    scopus 로고
    • Regional aboveground forest biomass using airborne and spaceborne LiDAR in Quebec
    • Oct.
    • J. Boudreau et al., "Regional aboveground forest biomass using airborne and spaceborne LiDAR in Quebec," Remote Sens. Environ., vol. 112, no. 10, pp. 3876-3890, Oct. 2008.
    • (2008) Remote Sens. Environ. , vol.112 , Issue.10 , pp. 3876-3890
    • Boudreau, J.1
  • 32
    • 0036148791 scopus 로고    scopus 로고
    • Estimation of tropical forest structural characteristics using large-footprint lidar
    • Feb.
    • J. B. Drake et al., "Estimation of tropical forest structural characteristics using large-footprint lidar," Remote Sens. Environ., vol. 79, no. 2-3, pp. 305-319, Feb. 2002.
    • (2002) Remote Sens. Environ. , vol.79 , Issue.2-3 , pp. 305-319
    • Drake, J.B.1
  • 33
    • 67650678538 scopus 로고    scopus 로고
    • Forest vertical parameters from lidar and multi-angle imaging spectrometer data
    • (in Chinese
    • G. Sun, K. J. Ranson, and Z. Zhang, "Forest vertical parameters from lidar and multi-angle imaging spectrometer data," J. Remote Sens., vol. 10, no. 4, pp. 523-530, 2006 (in Chinese).
    • (2006) J. Remote Sens. , vol.10 , Issue.4 , pp. 523-530
    • Sun, G.1    Ranson, K.J.2    Zhang, Z.3
  • 34
    • 51449106546 scopus 로고    scopus 로고
    • Revised method for forest canopy height estimation from geoscience laser altimeter system waveforms
    • Sep.
    • M. A. Lefsky, M. Keller, Y. Pang, P. B. de Camargo, and M. O. Hunter, "Revised method for forest canopy height estimation from geoscience laser altimeter system waveforms," J. Appl. Remote Sens., vol. 1, pp. 013537-013537, Sep. 2007.
    • (2007) J. Appl. Remote Sens. , vol.1 , pp. 013537-013537
    • Lefsky, M.A.1    Keller, M.2    Pang, Y.3    De Camargo, P.B.4    Hunter, M.O.5
  • 35
    • 0030302935 scopus 로고    scopus 로고
    • Mapping ecological land systems and classification uncertainty from digital elevation and forest cover data using neural networks
    • Nov.
    • P. Gong, R. Pu, and J. Chen, "Mapping ecological land systems and classification uncertainty from digital elevation and forest cover data using neural networks," Photogramm. Eng. Remote Sens., vol. 62, no. 11, pp. 1249-1260, Nov. 1996.
    • (1996) Photogramm. Eng. Remote Sens. , vol.62 , Issue.11 , pp. 1249-1260
    • Gong, P.1    Pu, R.2    Chen, J.3
  • 36
    • 0029768950 scopus 로고    scopus 로고
    • Integrated analysis of spatial data from multiple sources: Using evidential reasoning and an artificial neural network for geological mapping
    • May
    • P. Gong, "Integrated analysis of spatial data from multiple sources: Using evidential reasoning and an artificial neural network for geological mapping," Photogramm. Eng. Remote Sens., vol. 62, no. 5, pp. 513-523, May 1996.
    • (1996) Photogramm. Eng. Remote Sens. , vol.62 , Issue.5 , pp. 513-523
    • Gong, P.1
  • 37
    • 0344074641 scopus 로고    scopus 로고
    • Conifer species recognition: An exploratory analysis of in situ hyperspectral data
    • P. Gong, R. Pu, and B. Yu, "Conifer species recognition: An exploratory analysis of in situ hyperspectral data," Remote Sens. Environ., vol. 62, no. 2, pp. 189-200, 1997.
    • (1997) Remote Sens. Environ. , vol.62 , Issue.2 , pp. 189-200
    • Gong, P.1    Pu, R.2    Yu, B.3
  • 38
    • 0141569007 scopus 로고    scopus 로고
    • An assessment of the effectiveness of decision tree methods for land cover classification
    • Aug.
    • M. Pal and P. M. Mather, "An assessment of the effectiveness of decision tree methods for land cover classification," Remote Sens. Environ., vol. 86, no. 4, pp. 554-565, Aug. 2003.
    • (2003) Remote Sens. Environ. , vol.86 , Issue.4 , pp. 554-565
    • Pal, M.1    Mather, P.M.2
  • 39
    • 84879047611 scopus 로고    scopus 로고
    • Improving 30 m global land-cover map FROM-GLC with time series MODIS and auxiliary data sets: A segmentation-based approach
    • May
    • L. Yu, J. Wang, and P. Gong, "Improving 30 m global land-cover map FROM-GLC with time series MODIS and auxiliary data sets: A segmentation-based approach," Int. J. Remote Sens., vol. 34, no. 16, pp. 5851-5867, May 2013.
    • (2013) Int. J. Remote Sens. , vol.34 , Issue.16 , pp. 5851-5867
    • Yu, L.1    Wang, J.2    Gong, P.3
  • 40
    • 3042654673 scopus 로고    scopus 로고
    • A relative evaluation of multiclass image classification by support vector machines
    • Jun.
    • G. M. Foody and A. Mathur, "A relative evaluation of multiclass image classification by support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 6, pp. 1335-1343, Jun. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.6 , pp. 1335-1343
    • Foody, G.M.1    Mathur, A.2
  • 41
    • 84872359932 scopus 로고    scopus 로고
    • Finer resolution observation and monitoring of global land cover: First mapping results with LandsatTM and ETM+ data
    • Jan.
    • P. Gong et al., "Finer resolution observation and monitoring of global land cover: First mapping results with LandsatTM and ETM+ data," Int. J. Remote Sens., vol. 34, no. 7, pp. 2607-2654, Jan. 2013.
    • (2013) Int. J. Remote Sens. , vol.34 , Issue.7 , pp. 2607-2654
    • Gong, P.1
  • 42
    • 84894607481 scopus 로고    scopus 로고
    • Comparison of image classification algorithms and training sample sizes in uran land classification with Landsat Thematic Mapper imagery
    • Jan.
    • C. C. Li, J. Wang, L. Wang, L. Y. Hu, and P. Gong, "Comparison of image classification algorithms and training sample sizes in uran land classification with Landsat Thematic Mapper imagery," Remote Sens., vol. 6, no. 2, pp. 964-983, Jan. 2014.
    • (2014) Remote Sens. , vol.6 , Issue.2 , pp. 964-983
    • Li, C.C.1    Wang, J.2    Wang, L.3    Hu, L.Y.4    Gong, P.5
  • 43
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, 2001.
    • (2001) Mach. Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 46
    • 0029535737 scopus 로고
    • Particle swarm optimization
    • Perth, WA, Australia
    • J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Netw., Perth, WA, Australia, 1995, vol. 4, pp. 1942-1948.
    • (1995) Proc. IEEE Int. Conf. Neural Netw. , vol.4 , pp. 1942-1948
    • Kennedy, J.1    Eberhart, R.2
  • 47
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM:Alibrary for support vectormachines
    • Apr.
    • C. C.Chang and C. J. Lin, "LIBSVM:Alibrary for support vectormachines," ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, pp. 1-39, Apr. 2011.
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 1-39
    • Chang, C.C.1    Lin, C.J.2
  • 48
    • 56149114234 scopus 로고    scopus 로고
    • GLOBCOVER the most detailed portrait of Earth
    • Nov.
    • O. Arino et al., "GLOBCOVER The most detailed portrait of Earth," ESA Bull.-Eur. Space, vol. 136, pp. 24-31, Nov. 2008.
    • (2008) ESA Bull.-Eur. Space , vol.136 , pp. 24-31
    • Arino, O.1
  • 49
    • 84880348709 scopus 로고    scopus 로고
    • A fast unsupervised classification algorithm: Clustering based on eigen space transformation
    • Y. L. Chen and P. Gong, "A fast unsupervised classification algorithm: Clustering based on eigen space transformation," ISPRS J. Photogramm. Remote Sens., vol. 83, pp. 64-80, 2013.
    • (2013) ISPRS J. Photogramm. Remote Sens. , vol.83 , pp. 64-80
    • Chen, Y.L.1    Gong, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.