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Volumn 8, Issue 2, 2017, Pages 175-184

Applying terrestrial lidar for evaluation and calibration of airborne lidar-derived shrub biomass estimates in Arctic tundra

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; CALIBRATION; FORECASTING; HARVESTING; LANDFORMS; LASER APPLICATIONS; OPTICAL RADAR; REMOTE SENSING; SEEBECK EFFECT; STATISTICAL METHODS; SURFACE ANALYSIS;

EID: 84994667381     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2016.1246770     Document Type: Article
Times cited : (25)

References (15)
  • 3
    • 77956677071 scopus 로고    scopus 로고
    • Comparing Canopy Metrics Derived from Terrestrial and Airborne Laser Scanning in a Douglas-Fir Dominated Forest Stand
    • T.Hilker, M.Van Leeuwen, N.C.Coops, M.A.Wulder, G.J.Newnham, D.L.B.Jupp, and D.S.Culvenor. 2010. “Comparing Canopy Metrics Derived from Terrestrial and Airborne Laser Scanning in a Douglas-Fir Dominated Forest Stand.” Trees - Structure and Function 24 (5):819–832. doi:10.1007/s00468-010-0452-7.
    • (2010) Trees - Structure and Function , vol.24 , Issue.5 , pp. 819-832
    • Hilker, T.1    Van Leeuwen, M.2    Coops, N.C.3    Wulder, M.A.4    Newnham, G.J.5    Jupp, D.L.B.6    Culvenor, D.S.7
  • 4
    • 84879127223 scopus 로고    scopus 로고
    • Integrating Terrestrial and Airborne Lidar to Calibrate a 3D Canopy Model of Effective Leaf Area Index
    • September
    • C.Hopkinson, J.Lovell, L.Chasmer, D.Jupp, N.Kljun, and E.Van Gorsel. 2013. “Integrating Terrestrial and Airborne Lidar to Calibrate a 3D Canopy Model of Effective Leaf Area Index.” Remote Sensing of Environment 136:301–314. doi:10.1016/j.rse.2013.05.012. September.
    • (2013) Remote Sensing of Environment , vol.136 , pp. 301-314
    • Hopkinson, C.1    Lovell, J.2    Chasmer, L.3    Jupp, D.4    Kljun, N.5    Van Gorsel, E.6
  • 7
    • 84936862853 scopus 로고    scopus 로고
    • Aboveground Biomass Estimates of Sagebrush Using Terrestrial and Airborne LiDAR Data in a Dryland Ecosystem
    • A.Li, N.F.Glenn, P.J.Olsoy, J.J.Mitchell, and R.Shrestha. 2015. “Aboveground Biomass Estimates of Sagebrush Using Terrestrial and Airborne LiDAR Data in a Dryland Ecosystem.” Agricultural and Forest Meteorology 213:138–147. doi:10.1016/j.agrformet.2015.06.005.
    • (2015) Agricultural and Forest Meteorology , vol.213 , pp. 138-147
    • Li, A.1    Glenn, N.F.2    Olsoy, P.J.3    Mitchell, J.J.4    Shrestha, R.5
  • 9
    • 84892470397 scopus 로고    scopus 로고
    • Aboveground Total and Green Biomass of Dryland Shrub Derived from Terrestrial Laser Scanning
    • P.J.Olsoy, N.F.Glenn, P.E.Clark, and D.R.Derryberry. 2014. “Aboveground Total and Green Biomass of Dryland Shrub Derived from Terrestrial Laser Scanning.” ISPRS Journal of Photogrammetry and Remote Sensing 88 (February):166–173. doi:10.1016/j.isprsjprs.2013.12.006.
    • (2014) ISPRS Journal of Photogrammetry and Remote Sensing , vol.88 , Issue.February , pp. 166-173
    • Olsoy, P.J.1    Glenn, N.F.2    Clark, P.E.3    Derryberry, D.R.4
  • 10
    • 77953769039 scopus 로고    scopus 로고
    • Improving Quality of Laser Scanning Data Acquisition through Calibrated Amplitude and Pulse Deviation Measurement
    • M.Pfennigbauer, 2010. “Improving Quality of Laser Scanning Data Acquisition through Calibrated Amplitude and Pulse Deviation Measurement.” Proceedings of SPIE 7684:76841F–76841F–10.
    • (2010) Proceedings of SPIE , vol.7684
    • Pfennigbauer, M.1
  • 11
    • 48949115072 scopus 로고    scopus 로고
    • How to Evaluate Models: Observed vs. Predicted or Predicted vs. Observed?
    • G.Piñeiro, S.Perelman, J.P.Guerschman, and J.M.Paruelo. 2008. “How to Evaluate Models:Observed vs. Predicted or Predicted vs. Observed?” Ecological Modelling 216:316–322. doi:10.1016/j.ecolmodel.2008.05.006.
    • (2008) Ecological Modelling , vol.216 , pp. 316-322
    • Piñeiro, G.1    Perelman, S.2    Guerschman, J.P.3    Paruelo, J.M.4
  • 13
    • 77951113128 scopus 로고    scopus 로고
    • A Comparison of Multi-Spectral, Multi-Angular, and Multi-Temporal Remote Sensing Datasets for Fractional Shrub Canopy Mapping in Arctic Alaska
    • D.J.Selkowitz, 2010. “A Comparison of Multi-Spectral, Multi-Angular, and Multi-Temporal Remote Sensing Datasets for Fractional Shrub Canopy Mapping in Arctic Alaska.” Remote Sensing of Environment 114 (7):1338–1352. doi:10.1016/j.rse.2010.01.012.
    • (2010) Remote Sensing of Environment , vol.114 , Issue.7 , pp. 1338-1352
    • Selkowitz, D.J.1
  • 14
    • 33748111468 scopus 로고    scopus 로고
    • LiDAR Measurement of Sagebrush Steppe Vegetation Heights
    • D.R.Streutker, and N.F.Glenn. 2006. “LiDAR Measurement of Sagebrush Steppe Vegetation Heights.” Remote Sensing of Environment 102 (1–2):135–145. doi:10.1016/j.rse.2006.02.011.
    • (2006) Remote Sensing of Environment , vol.102 , Issue.1-2 , pp. 135-145
    • Streutker, D.R.1    Glenn, N.F.2
  • 15
    • 84874681299 scopus 로고    scopus 로고
    • Shrub Characterization Using Terrestrial Laser Scanning and Implications for Airborne LiDAR Assessment
    • L.A.Vierling, Y.Xu, J.U.H.Eitel, and J.S.Oldow. 2013. “Shrub Characterization Using Terrestrial Laser Scanning and Implications for Airborne LiDAR Assessment.” Canadian Journal of Remote Sensing 38 (6):709–722. doi:10.5589/m12-057.
    • (2013) Canadian Journal of Remote Sensing , vol.38 , Issue.6 , pp. 709-722
    • Vierling, L.A.1    Xu, Y.2    Eitel, J.U.H.3    Oldow, J.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.