Moeur M, Stage A (1995) Most similar neighbor: an improved sample inference procedure for
natural resource planning. For Sci 41(2):337–359
Muukkonen P, Heiskanen J (2005) Estimating biomass for boreal forests using ASTER satellite
data combined with standwise forest inventory data. Remote Sens Environ 99:434–447
Myneni RB, Nemani RR, Running SW (1997) Estimation of global leaf area index and absorbed
PAR using radiative transfer models. IEEE Trans Geosci Remote Sens 35:1380–1393
Myneni RB et al (2002) Global products of vegetation leaf area and fraction absorbed PAR from
year one of MODIS data. Remote Sens Environ 83:214–231
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
Næsset E, Gobakken T, Holmgren J, Hyyppa H, Hyyppa J, Maltamo M et al (2004) Laser
scanning of forest resources: the Nordic experience. Scand J For Res 19:482–499
Nelson R (2010) Model effects on GLAS-based regional estimates of forest biomass and carbon.
Int J Remote Sens 31:1359–1372
Nelson R, Swill R, Krabill W (1988) Using airborne lasers to estimate forest canopy and stand
characteristics. J For 86:31–38
Nelson BW, Mesquita R, Pereira JLG, de Souza SGA, Batista GT, Couta LB (1999) Allometric
regressions for improved estimate of secondary forest biomass in the Central Amazon. For
Ecol Manag 117:149–167
Nelson R, Parker G, Hom M (2003) A portable airborne laser system for forest inventory.
Photogramm Eng Remote Sens 69(3):267–273
Nelson R, Short A, Valenti M (2004) Measuring biomass and carbon in Delaware using and
airborne profiling lidar. Scand J For Res 19:500–511
Nelson RF, Hyde P, Johnson P, Emessiene B, Imhoff ML, Campbell R, Edwards W (2007)
Investigating RaDAR-LiDAR synergy in a North Carolina pine forest. Remote Sens Environ
110:98–108
Nelson R, Ranson KJ, Sun G, Kimes DS, Kharuk V, Montesano P (2009) Estimating Siberian
Timber volume Using MODIS and ICESat/GLAS. Remote Sens Environ 113:691–701
Nemani RR, Pierce LL, Band LE, Running SW (1993) Forest ecosystem processes at the
watershed scale: Sensitivity to remotely sensed leaf area index estimates. Int J Remote Sens
14:2519–2534
Ni-Meister W, Lee S, Strahler AH, Woodcock CE, Schaaf C, Yao T et al (2010) Assessing
general relationships between aboveground biomass and vegetation structure parameters for
improved carbon estimate from lidar remote sensing. J Geophys Res 115:1–12
Nolin A W (2004) Towards retrieval of forest cover density over snow from the Multiangle
Imaging SpectroRadiometer (MISR). Hydrol Process 18:3623–3636
Ohmann JL, Gregory MJ (2002) Predictive mapping of forest composition and structure with
direct gradient analysis and nearest neighbor imputation in coastal Oregon, USA. Can J For
Res 32:725–741
Palace M, Keller M, Asner GP, Hagen S, Braswell B (2008) Amazon forest structure from
IKONOS satellite data and the automated characterization of forest canopy properties.
Biotropica 40(2):141–150, doi: 10.1111/j.1744-7429.2007.00353.x
Paster J, Aber J, Melillo JM (1984) Biomass prediction using generalized allometric regressions
for some Northeast tree species. For Ecol Manag 7:265–274
Peddle DR, Johnson RL (2000) Spectral mixture analysis of airborne remote sensing imagery for
improved prediction of leaf area index in mountainous terrain, Kananaskis, Alberta. Can J
Remote Sens 26:176–187
Phat NK, Knorr W, Kim S (2004) Appropriate measures for conservation of terrestrial carbon
stocks—Analysis of trends of forest management in Southeast Asia. For Ecol Manage
191:283–299
Phua M, Saito H (2003) Estimation of biomass of a mountainous tropical forest using Landsat
TM data. Can J Remote Sens 29:429–440
3 Remote Sensing of Forest Biomass
95
natural resource planning. For Sci 41(2):337–359
Muukkonen P, Heiskanen J (2005) Estimating biomass for boreal forests using ASTER satellite
data combined with standwise forest inventory data. Remote Sens Environ 99:434–447
Myneni RB, Nemani RR, Running SW (1997) Estimation of global leaf area index and absorbed
PAR using radiative transfer models. IEEE Trans Geosci Remote Sens 35:1380–1393
Myneni RB et al (2002) Global products of vegetation leaf area and fraction absorbed PAR from
year one of MODIS data. Remote Sens Environ 83:214–231
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
Næsset E, Gobakken T, Holmgren J, Hyyppa H, Hyyppa J, Maltamo M et al (2004) Laser
scanning of forest resources: the Nordic experience. Scand J For Res 19:482–499
Nelson R (2010) Model effects on GLAS-based regional estimates of forest biomass and carbon.
Int J Remote Sens 31:1359–1372
Nelson R, Swill R, Krabill W (1988) Using airborne lasers to estimate forest canopy and stand
characteristics. J For 86:31–38
Nelson BW, Mesquita R, Pereira JLG, de Souza SGA, Batista GT, Couta LB (1999) Allometric
regressions for improved estimate of secondary forest biomass in the Central Amazon. For
Ecol Manag 117:149–167
Nelson R, Parker G, Hom M (2003) A portable airborne laser system for forest inventory.
Photogramm Eng Remote Sens 69(3):267–273
Nelson R, Short A, Valenti M (2004) Measuring biomass and carbon in Delaware using and
airborne profiling lidar. Scand J For Res 19:500–511
Nelson RF, Hyde P, Johnson P, Emessiene B, Imhoff ML, Campbell R, Edwards W (2007)
Investigating RaDAR-LiDAR synergy in a North Carolina pine forest. Remote Sens Environ
110:98–108
Nelson R, Ranson KJ, Sun G, Kimes DS, Kharuk V, Montesano P (2009) Estimating Siberian
Timber volume Using MODIS and ICESat/GLAS. Remote Sens Environ 113:691–701
Nemani RR, Pierce LL, Band LE, Running SW (1993) Forest ecosystem processes at the
watershed scale: Sensitivity to remotely sensed leaf area index estimates. Int J Remote Sens
14:2519–2534
Ni-Meister W, Lee S, Strahler AH, Woodcock CE, Schaaf C, Yao T et al (2010) Assessing
general relationships between aboveground biomass and vegetation structure parameters for
improved carbon estimate from lidar remote sensing. J Geophys Res 115:1–12
Nolin A W (2004) Towards retrieval of forest cover density over snow from the Multiangle
Imaging SpectroRadiometer (MISR). Hydrol Process 18:3623–3636
Ohmann JL, Gregory MJ (2002) Predictive mapping of forest composition and structure with
direct gradient analysis and nearest neighbor imputation in coastal Oregon, USA. Can J For
Res 32:725–741
Palace M, Keller M, Asner GP, Hagen S, Braswell B (2008) Amazon forest structure from
IKONOS satellite data and the automated characterization of forest canopy properties.
Biotropica 40(2):141–150, doi: 10.1111/j.1744-7429.2007.00353.x
Paster J, Aber J, Melillo JM (1984) Biomass prediction using generalized allometric regressions
for some Northeast tree species. For Ecol Manag 7:265–274
Peddle DR, Johnson RL (2000) Spectral mixture analysis of airborne remote sensing imagery for
improved prediction of leaf area index in mountainous terrain, Kananaskis, Alberta. Can J
Remote Sens 26:176–187
Phat NK, Knorr W, Kim S (2004) Appropriate measures for conservation of terrestrial carbon
stocks—Analysis of trends of forest management in Southeast Asia. For Ecol Manage
191:283–299
Phua M, Saito H (2003) Estimation of biomass of a mountainous tropical forest using Landsat
TM data. Can J Remote Sens 29:429–440
3 Remote Sensing of Forest Biomass
95