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Volumn 30, Issue 5, 2015, Pages 458-469

Modeling and predicting aboveground biomass change in young forest using multi-temporal airborne laser scanner data

Author keywords

airborne laser scanning; biomass change; carbon stock; forest growth; multi temporal data; Norway

Indexed keywords

BIOMASS; ECOLOGY; FORESTRY; LASER APPLICATIONS; MEAN SQUARE ERROR; SCANNING;

EID: 84929278359     PISSN: 02827581     EISSN: 16511891     Source Type: Journal    
DOI: 10.1080/02827581.2015.1024733     Document Type: Article
Times cited : (37)

References (38)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H. 1974. A new look at the statistical model identification. IEEE Trans Automat Control. 19:716–723.
    • (1974) IEEE Trans Automat Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 2
    • 84874724621 scopus 로고    scopus 로고
    • Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data
    • Bollandsås OM, Gregoire T, Næsset E, Øyen B-H. 2013. Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data. Stat Methods Appl. 22:113–129.
    • (2013) Stat Methods Appl. , vol.22 , pp. 113-129
    • Bollandsås, O.M.1    Gregoire, T.2    Næsset, E.3    Øyen, B.-H.4
  • 3
    • 70449558474 scopus 로고    scopus 로고
    • Models for predicting above-ground biomass of Betula pubescens spp. czerepanovii in mountain areas of southern Norway
    • Bollandsås OM, Rekstad I, Næsset E, Rosberg I. 2009. Models for predicting above-ground biomass of Betula pubescens spp. czerepanovii in mountain areas of southern Norway. Scand J For Res. 24:318–332.
    • (2009) Scand J For Res. , vol.24 , pp. 318-332
    • Bollandsås, O.M.1    Rekstad, I.2    Næsset, E.3    Rosberg, I.4
  • 4
    • 0001118346 scopus 로고
    • Alternative transformations to handle extreme values of the dependent variable
    • Burbidge JB, Magee L, Robb AL. 1988. Alternative transformations to handle extreme values of the dependent variable. J Am Stat Assoc. 83:123–127. 10.1080/01621459.1988.10478575
    • (1988) J Am Stat Assoc. , vol.83 , pp. 123-127
    • Burbidge, J.B.1    Magee, L.2    Robb, A.L.3
  • 6
    • 0004269485 scopus 로고
    • Pacific Grove (CA): Wadsworth & Brooks/Cole Advanced Books & Software
    • Chambers JM, Hastie T. 1992. Statistical models in S. Pacific Grove (CA): Wadsworth & Brooks/Cole Advanced Books & Software.
    • (1992) Statistical models in S.
    • Chambers, J.M.1    Hastie, T.2
  • 8
    • 84946385266 scopus 로고
    • Some remarks on the methods formulated in a recent article on “The quantitative analysis of plant growth”
    • Fisher RA. 1921. Some remarks on the methods formulated in a recent article on “The quantitative analysis of plant growth”. Ann Appl Biol. 7:367–372. 10.1111/j.1744-7348.1921.tb05524.x
    • (1921) Ann Appl Biol. , vol.7 , pp. 367-372
    • Fisher, R.A.1
  • 9
    • 11144304495 scopus 로고    scopus 로고
    • Estimation of diameter and basal area distributions in coniferous forest by means of airborne laser scanner data
    • Gobakken T, Næsset E. 2004. Estimation of diameter and basal area distributions in coniferous forest by means of airborne laser scanner data. Scand J For Res. 19:529–542. 10.1080/02827580410019454
    • (2004) Scand J For Res. , vol.19 , pp. 529-542
    • Gobakken, T.1    Næsset, E.2
  • 11
    • 0000981863 scopus 로고
    • The interpretation and estimation of Cobb–Douglas functions
    • Goldberger AS. 1968. The interpretation and estimation of Cobb–Douglas functions. Econometrica. 36:464–472. 10.2307/1909517
    • (1968) Econometrica , vol.36 , pp. 464-472
    • Goldberger, A.S.1
  • 12
    • 58149269436 scopus 로고    scopus 로고
    • Regression estimation following the square-root transformation of the response
    • Gregoire TG, Lin QF, Boudreau J, Nelson R. 2008. Regression estimation following the square-root transformation of the response. For Sci. 54:597–606.
    • (2008) For Sci. , vol.54 , pp. 597-606
    • Gregoire, T.G.1    Lin, Q.F.2    Boudreau, J.3    Nelson, R.4
  • 13
    • 39749101783 scopus 로고    scopus 로고
    • The uncertainty in conifer plantation growth prediction from multi-temporal lidar datasets
    • Hopkinson C, Chasmer L, Hall RJ. 2008. The uncertainty in conifer plantation growth prediction from multi-temporal lidar datasets. Remote Sens Environ. 112:1168–1180. 10.1016/j.rse.2007.07.020
    • (2008) Remote Sens Environ. , vol.112 , pp. 1168-1180
    • Hopkinson, C.1    Chasmer, L.2    Hall, R.J.3
  • 16
    • 77955061568 scopus 로고    scopus 로고
    • Using remotely sensed data to construct and assess forest attribute maps and related spatial products
    • McRoberts RE, Cohen WB, Næsset E, Stehman SV, Tomppo EO. 2010. Using remotely sensed data to construct and assess forest attribute maps and related spatial products. Scand J For Res. 25:340–367. 10.1080/02827581.2010.497496
    • (2010) Scand J For Res , vol.25 , pp. 340-367
    • McRoberts, R.E.1    Cohen, W.B.2    Næsset, E.3    Stehman, S.V.4    Tomppo, E.O.5
  • 17
    • 33747330851 scopus 로고    scopus 로고
    • Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction
    • Morsdorf F, Kötz B, Meier E, Itten KI, Allgöwer B. 2006. Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction. Remote Sens Environ. 104:50–61. 10.1016/j.rse.2006.04.019
    • (2006) Remote Sens Environ. , vol.104 , pp. 50-61
    • Morsdorf, F.1    Kötz, B.2    Meier, E.3    Itten, K.I.4    Allgöwer, B.5
  • 18
    • 0036218720 scopus 로고    scopus 로고
    • Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data
    • Næsset E. 2002. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data. Remote Sens Environ. 80:88–99.
    • (2002) Remote Sens Environ. , vol.80 , pp. 88-99
    • Næsset, E.1
  • 19
    • 2342590151 scopus 로고    scopus 로고
    • Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
    • Næsset E. 2004a. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser. Scand J For Res. 19:164–179.
    • (2004) Scand J For Res. , vol.19 , pp. 164-179
    • Næsset, E.1
  • 21
    • 56949107840 scopus 로고    scopus 로고
    • Effects of different sensors, flying altitudes, and pulse repetition frequencies on forest canopy metrics and biophysical stand properties derived from small-footprint airborne laser data
    • Næsset E. 2009. Effects of different sensors, flying altitudes, and pulse repetition frequencies on forest canopy metrics and biophysical stand properties derived from small-footprint airborne laser data. Remote Sens Environ. 113:148–159.
    • (2009) Remote Sens Environ. , vol.113 , pp. 148-159
    • Næsset, E.1
  • 22
    • 79551659995 scopus 로고    scopus 로고
    • Estimating above-ground biomass in young forests with airborne laser scanning
    • Næsset E. 2011. Estimating above-ground biomass in young forests with airborne laser scanning. Int J Remote Sens. 32:473–501.
    • (2011) Int J Remote Sens. , vol.32 , pp. 473-501
    • Næsset, E.1
  • 23
    • 0035665443 scopus 로고    scopus 로고
    • Estimating tree heights and number of stems in young forest stands using airborne laser scanner data
    • Næsset E, Bjerknes KO. 2001. Estimating tree heights and number of stems in young forest stands using airborne laser scanner data. Remote Sens Environ. 78:328–340.
    • (2001) Remote Sens Environ. , vol.78 , pp. 328-340
    • Næsset, E.1    Bjerknes, K.O.2
  • 24
    • 84868647283 scopus 로고    scopus 로고
    • Model-assisted estimation of change in forest biomass over an 11 year period in a sample survey supported by airborne LiDAR: a case study with post-stratification to provide “activity data
    • Næsset E, Bollandsås OM, Gobakken T, Gregoire TG, Ståhl G. 2013. Model-assisted estimation of change in forest biomass over an 11 year period in a sample survey supported by airborne LiDAR: a case study with post-stratification to provide “activity data”. Remote Sens Environ. 128:299–314.
    • (2013) Remote Sens Environ. , vol.128 , pp. 299-314
    • Næsset, E.1    Bollandsås, O.M.2    Gobakken, T.3    Gregoire, T.G.4    Ståhl, G.5
  • 25
    • 21444438315 scopus 로고    scopus 로고
    • Estimating forest growth using canopy metrics derived from airborne laser scanner data
    • Næsset E, Gobakken T. 2005. Estimating forest growth using canopy metrics derived from airborne laser scanner data. Remote Sens Environ. 96:453–465.
    • (2005) Remote Sens Environ. , vol.96 , pp. 453-465
    • Næsset, E.1    Gobakken, T.2
  • 26
    • 43949145887 scopus 로고    scopus 로고
    • Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser
    • Næsset E, Gobakken T. 2008. Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser. Remote Sens Environ. 112:3079–3090.
    • (2008) Remote Sens Environ. , vol.112 , pp. 3079-3090
    • Næsset, E.1    Gobakken, T.2
  • 27
    • 81355127578 scopus 로고    scopus 로고
    • Model-assisted regional forest biomass estimation using LiDAR and InSAR as auxiliary data: a case study from a boreal forest area
    • Næsset E, Gobakken T, Solberg S, Gregoire TG, Nelson R, Stahl G, Weydahl D. 2011. Model-assisted regional forest biomass estimation using LiDAR and InSAR as auxiliary data: a case study from a boreal forest area. Remote Sens Environ. 115:3599–3614.
    • (2011) Remote Sens Environ. , vol.115 , pp. 3599-3614
    • Næsset, E.1    Gobakken, T.2    Solberg, S.3    Gregoire, T.G.4    Nelson, R.5    Stahl, G.6    Weydahl, D.7
  • 28
    • 34548045502 scopus 로고    scopus 로고
    • Using airborne laser scanning to monitor tree migration in the boreal–alpine transition zone
    • Næsset E, Nelson R. 2007. Using airborne laser scanning to monitor tree migration in the boreal–alpine transition zone. Remote Sens Environ. 110:357–369.
    • (2007) Remote Sens Environ. , vol.110 , pp. 357-369
    • Næsset, E.1    Nelson, R.2
  • 29
    • 84869072933 scopus 로고    scopus 로고
    • Change detection of mountain birch using multi-temporal ALS point clouds
    • Nyström M, Holmgren J, Olsson H. 2013. Change detection of mountain birch using multi-temporal ALS point clouds. Remote Sens Lett. 4:190–199.
    • (2013) Remote Sens Lett. , vol.4 , pp. 190-199
    • Nyström, M.1    Holmgren, J.2    Olsson, H.3
  • 30
    • 77951104193 scopus 로고    scopus 로고
    • Effects of different sensors and leaf-on and leaf-off canopy conditions on echo distributions and individual tree properties derived from airborne laser scanning
    • Ørka HO, Næsset E, Bollandsås OM. 2010. Effects of different sensors and leaf-on and leaf-off canopy conditions on echo distributions and individual tree properties derived from airborne laser scanning. Remote Sens Environ. 114:1445–1461.
    • (2010) Remote Sens Environ. , vol.114 , pp. 1445-1461
    • Ørka, H.O.1    Næsset, E.2    Bollandsås, O.M.3
  • 32
  • 33
    • 4043147979 scopus 로고
    • A flexible growth function for empirical use
    • Richards FJ. 1959. A flexible growth function for empirical use. J Exp Bot. 10:290–301. 10.1093/jxb/10.2.290
    • (1959) J Exp Bot. , vol.10 , pp. 290-301
    • Richards, F.J.1
  • 34
    • 0000631147 scopus 로고
    • A ratio estimator for bias correction in logarithmic regressions
    • Snowdon P. 1991. A ratio estimator for bias correction in logarithmic regressions. Can J For Res. 21:720–724. 10.1139/x91-101
    • (1991) Can J For Res. , vol.21 , pp. 720-724
    • Snowdon, P.1
  • 35
    • 33845395420 scopus 로고    scopus 로고
    • Assessing forest gap dynamics and growth using multi-temporal laser-scanner data
    • St-Onge B, Vepakomma U. 2004. Assessing forest gap dynamics and growth using multi-temporal laser-scanner data. Int Photogram Remote Sens Spatial Inf Sci. XXXVI:173–178.
    • (2004) Int Photogram Remote Sens Spatial Inf Sci , vol.XXXVI , pp. 173-178
    • St-Onge, B.1    Vepakomma, U.2
  • 36
    • 84870022221 scopus 로고    scopus 로고
    • Detection of small single trees in the forest–tundra ecotone using height values from airborne laser scanning
    • Thieme N, Bollandsås OM, Gobakken T, Næsset E. 2011. Detection of small single trees in the forest–tundra ecotone using height values from airborne laser scanning. Can J Remote Sens. 37:264–274. 10.5589/m11-041
    • (2011) Can J Remote Sens. , vol.37 , pp. 264-274
    • Thieme, N.1    Bollandsås, O.M.2    Gobakken, T.3    Næsset, E.4
  • 38
    • 40049104340 scopus 로고    scopus 로고
    • Obtaining plotwise mean height and volume growth in boreal forests using multi-temporal laser surveys and various change detection techniques
    • Yu X, Hyyppa J, Kaartinen H, Maltamo M, Hyyppa H. 2008. Obtaining plotwise mean height and volume growth in boreal forests using multi-temporal laser surveys and various change detection techniques. Int J Remote Sens. 29:1367–1386. 10.1080/01431160701736489
    • (2008) Int J Remote Sens. , vol.29 , pp. 1367-1386
    • Yu, X.1    Hyyppa, J.2    Kaartinen, H.3    Maltamo, M.4    Hyyppa, H.5


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