Boudreau J, Nelson RF, Margolis HA, Beaudoin A, Guindon L, Kimes DS (2008) Regional
aboveground forest biomass using airborne and spaceborne lidar in Quebec. Remote Sens
Environ 112:3876–3890
Breiman L (2001) Random forests. Mach Learn 45:5–32
Brown S (1997) Estimating biomass and biomass change of tropical forests: a primer. FAO
Forestry Paper 134. FAO, Rome
Brown S, Iverson LR (1992) Biomass estimates for tropical forests. World Resour Rev 4:366–384
Brown S, Lugo AE (1992) Above ground biomass estimates for tropical moist forests of the
Brazilian Amazon. Interciencia 17:8–18
Brown S, Gillespie AJR, Lugo AE (1989) Biomass estimation methods for tropical forests with
applications to forest inventory data. For Sci 35:881–902
Brown SL, Schroeder P, Kern JS (1999) Spatial distribution of biomass in forests of the eastern
USA. For Ecol Manag 123:81–90
Calvao T, Palmeirim JM (2004) Mapping Mediterranean scrub with satellite imagery: biomass
estimation and spectral behaviour. Int J Remote Sens 25:3113–3126
Chambers JQ, Higuchi N, Schimel JP, Ferreira LV, Melack JM (2000) Decomposition and carbon
cycling of dead trees in tropical forests of the central Amazon. Oecologia 122:380–388
Chojnacky DC, Mickler RA, Meath LS, Woodall CW (2004) Estimates of down woody materials
in eastern US forests. Environ Manag 33:S44–S55
Chopping M (2010) CANAPI: canopy analysis with panchromatic imagery. Remote Sens Lett
2(1):21–29
Chopping M, Moisen G, Su L, Laliberte A, Rango A, Martonchik JV et al (2008) Large area
mapping of southwestern forest crowncover, canopy height, and biomass using MISR.
Remote Sens Environ 112:2051–2063
Chopping M, Nolin A, Moisen GG, Martonchik JV, Bull M (2009) Forest canopy height from the
multiangle imaging spectroradiometer (MISR) assessed with high resolution discrete return
lidar. Remote Sens Environ 113:2172–2185
Chopping M, Schaaf CB, Zhao F, Wang Z, Nolin AW, Moisen GG, Martonchik JV, Bull M
(2011) Forest structure and aboveground biomass in the southwestern United States from
MODIS and MISR. Remote Sens Environ 115:2943–2953. doi:10.1016/j.rse.2010.08.031
Chopping M, North M, Chen J, Schaaf CB, Blair JB, Martonchik JV, Bull MA (2012) Forest
Canopy cover and height from MISR in topographically complex Southwestern US
landscapes assessed with high quality reference data. IEEE J Sel Topics Appl Earth Obs
Remote Sens 5:44–58
Cohen WB, Maiersperger TK, Gower ST, Turner DP (2003) An improved strategy for regression
of biophysical variables and Landsat ETM ? data. Remote Sens Environ 84:561–571
Coppin P, Jonckheere I, Nackaerts K, Muys B (2004) Digital change detection methods in
ecosystem monitoring: A review. Int J Remote Sens 25(9):1565–1596
Crist EP (1985) A TM tasseled cap equivalent transformation for reflectance factor data. Remote
Sens Environ 17:301–306
Crist EP, Cicone RC (1984) A physically-based transformation of thematic Mapper data—the
TM Tasseled Cap. IEEE Trans Geosci Remote Sens GE-22:256–263
Datt B (1999) A new reflectance index for remote sensing of chlorophyll content in higher plants:
tests using Eucalyptus leaves. J Plant Physiol 154:30–36
Diemer C, Lucaschewski I, Spelsberg G, Tomppo E, Pekkarinen A (2000) Integration of
terrestrial forest sample plot data, map information and satellite data. An operational
multisource-inventory concept. In: Ranchin T, Wald L (eds) Proceedings of the third
conference fusion of earth data: merging point measurements, raster maps and remotely
sensed images, Sophia Antipolis, France, 26–28 Jan 2000, pp 143–150. SEE/URISCA, Nice
Dobson MC (2000) Forest information from synthetic aperture Rader. J For 98(6):41–43
Dobson M, Ulaby F, LeToan T, Beaudoin A, Kasischke E and Christensen N (1992) Dependence
of radar backscatter on coniferous forest biomass. IEEE Trans Geosci Remote Sens
30(2):412–415
90
X. Zhang and W. Ni-meister
aboveground forest biomass using airborne and spaceborne lidar in Quebec. Remote Sens
Environ 112:3876–3890
Breiman L (2001) Random forests. Mach Learn 45:5–32
Brown S (1997) Estimating biomass and biomass change of tropical forests: a primer. FAO
Forestry Paper 134. FAO, Rome
Brown S, Iverson LR (1992) Biomass estimates for tropical forests. World Resour Rev 4:366–384
Brown S, Lugo AE (1992) Above ground biomass estimates for tropical moist forests of the
Brazilian Amazon. Interciencia 17:8–18
Brown S, Gillespie AJR, Lugo AE (1989) Biomass estimation methods for tropical forests with
applications to forest inventory data. For Sci 35:881–902
Brown SL, Schroeder P, Kern JS (1999) Spatial distribution of biomass in forests of the eastern
USA. For Ecol Manag 123:81–90
Calvao T, Palmeirim JM (2004) Mapping Mediterranean scrub with satellite imagery: biomass
estimation and spectral behaviour. Int J Remote Sens 25:3113–3126
Chambers JQ, Higuchi N, Schimel JP, Ferreira LV, Melack JM (2000) Decomposition and carbon
cycling of dead trees in tropical forests of the central Amazon. Oecologia 122:380–388
Chojnacky DC, Mickler RA, Meath LS, Woodall CW (2004) Estimates of down woody materials
in eastern US forests. Environ Manag 33:S44–S55
Chopping M (2010) CANAPI: canopy analysis with panchromatic imagery. Remote Sens Lett
2(1):21–29
Chopping M, Moisen G, Su L, Laliberte A, Rango A, Martonchik JV et al (2008) Large area
mapping of southwestern forest crowncover, canopy height, and biomass using MISR.
Remote Sens Environ 112:2051–2063
Chopping M, Nolin A, Moisen GG, Martonchik JV, Bull M (2009) Forest canopy height from the
multiangle imaging spectroradiometer (MISR) assessed with high resolution discrete return
lidar. Remote Sens Environ 113:2172–2185
Chopping M, Schaaf CB, Zhao F, Wang Z, Nolin AW, Moisen GG, Martonchik JV, Bull M
(2011) Forest structure and aboveground biomass in the southwestern United States from
MODIS and MISR. Remote Sens Environ 115:2943–2953. doi:10.1016/j.rse.2010.08.031
Chopping M, North M, Chen J, Schaaf CB, Blair JB, Martonchik JV, Bull MA (2012) Forest
Canopy cover and height from MISR in topographically complex Southwestern US
landscapes assessed with high quality reference data. IEEE J Sel Topics Appl Earth Obs
Remote Sens 5:44–58
Cohen WB, Maiersperger TK, Gower ST, Turner DP (2003) An improved strategy for regression
of biophysical variables and Landsat ETM ? data. Remote Sens Environ 84:561–571
Coppin P, Jonckheere I, Nackaerts K, Muys B (2004) Digital change detection methods in
ecosystem monitoring: A review. Int J Remote Sens 25(9):1565–1596
Crist EP (1985) A TM tasseled cap equivalent transformation for reflectance factor data. Remote
Sens Environ 17:301–306
Crist EP, Cicone RC (1984) A physically-based transformation of thematic Mapper data—the
TM Tasseled Cap. IEEE Trans Geosci Remote Sens GE-22:256–263
Datt B (1999) A new reflectance index for remote sensing of chlorophyll content in higher plants:
tests using Eucalyptus leaves. J Plant Physiol 154:30–36
Diemer C, Lucaschewski I, Spelsberg G, Tomppo E, Pekkarinen A (2000) Integration of
terrestrial forest sample plot data, map information and satellite data. An operational
multisource-inventory concept. In: Ranchin T, Wald L (eds) Proceedings of the third
conference fusion of earth data: merging point measurements, raster maps and remotely
sensed images, Sophia Antipolis, France, 26–28 Jan 2000, pp 143–150. SEE/URISCA, Nice
Dobson MC (2000) Forest information from synthetic aperture Rader. J For 98(6):41–43
Dobson M, Ulaby F, LeToan T, Beaudoin A, Kasischke E and Christensen N (1992) Dependence
of radar backscatter on coniferous forest biomass. IEEE Trans Geosci Remote Sens
30(2):412–415
90
X. Zhang and W. Ni-meister