Peddle DR, Brunke SP, Hal, FG (2001) A comparison of spectral mixture analysis and ten
vegetation indices for estimating boreal forest biophysical information from airborne data.
Can Remote Sens 27(6):627–635
Pierce KB, Ohmann JL, Wimberly MC, Gregory MJ, Fried JS (2009) Mapping wildland fuels and
forest structure for land management: a comparison of nearest neighbor imputation and other
methods. Can J For Res 39:1901–1916
Popescu SC (2007) Estimating biomass of individual pine trees using airborne lidar. Biomass and
Bioenergy 31(9):646–655
Popescu SC, Zhao K (2008) A voxel-based lidar method for assessing crown base height. Remote
Sens Environ 112(3):767–781
Popescu SC, Wynne RH, Nelson RF (2003) Measuring individual tree crown diameter with lidar
and assessing its influence on estimating forest volume and biomass. Can J Remote Sens
29(5):564–577
Popescu SC, Wynne RH, Scrivani JA (2004) Fusion of small-footprint lidar and multispectral
data to estimate plot-level volume and biomass in deciduous and pine forests in Virginia,
USA. For Sci 50:551–565
Powell SL, Warren B, Cohen WB, Healey SP, Kennedy RE, Moisen GG, Pierce KB, Ohmann JL
(2010) Quantification of live aboveground forest biomass dynamics with Landsat time-series
and field inventory data: a comparison of empirical modeling approaches. Remote Sens
Environ 114:1053–1068
Qi J, Chehbouni A, Huete AR, Kerr YH (1994) Modified Soil adjusted vegetation index
(MSAVI). Remote Sens Environ 48:119–126
Rahman MM, Csaplovics E, Koch B (2005) An efficient regression strategy for extracting forest
biomass information from satellite sensor data. Int J Remote Sens 26:1511–1519
Rahman MH, Okubo A, Kawai S, Sugiyama S (2008) Assessing microbial community in andisol
differing in management practices by biochemical and molecular fingerprinting methods. Int J
Soil Sci 3:1–10
Ranson KJ, Sun G (1994) Northern forest classification using temporal multifrequency and
multipolarimetric SAR images. Remote Sens Environ 47(2):142–153
Ranson KJ, Sun G (2000) Effects of environmental conditions on boreal forest classification and
biomass estimates with SAR. IEEE Trans Geosci Remote Sens 38(3):1242–1252.
Reese H, Nilsson M, Granqvist Pahlén T, Hagner O, Joyce S, Tingelöf U, Egberth M, Olsson H
(2003) Countrywide estimates of forest variables using satellite data and field data from the
National Forest Inventory. Ambio 32:542–548
Ripple WJ (1986) Spectral reflectance relationship to leaf water stress. Photogramm Eng Remote
Sens 52:1669–1675
Rock BN, Vogelmann JE, Williams DL, Vogelmann AF, Hoshizaki T (1986) Remote detection
of forest damage. Bioscience 36:439–445
Rouse J, Haas R, Schell J, Deering D, Harlan J (1973) Monitoring the vernal advancements and
retrogradation (greenwave effect) of nature vegetation. NASA/GSFC Final Report, NASA,
Greenbelt
Roy PS, Ravan SA (1996) Biomass estimation using satellite remote sensing data—an
investigation on possible approaches for natural forest. J Biosci 2:535–561
Saatchi SS, Houghton RA, Dos Santos Alvala RC, Soares JV, Yu Y (2007a) Distribution of
aboveground live biomass in the Amazon Basin. Glob Change Biol 13:816–837. doi:10.1111/
j.1365-2486.2007.01323.x
Saatchi SS, Houghton RA, Dos Santos Alvala RC, Soares JV, Yu Y (2007b) Distribution of
aboveground live biomass in the Amazon basin. Glob Change Biol 13:816–837
Saatchi SS, Harris NL, Brown S, Lefsky M, Mitchard ETA, Salas W, Zutta BR, Buermann W,
Lewis SL, Hagen S, Petrova S, White L, Silman M, Morel A (2011) Benchmark map of forest
carbon stocks in tropical regions across three continents. Proc Natl Acad Sci
108(24):9899–99044
96
X. Zhang and W. Ni-meister
vegetation indices for estimating boreal forest biophysical information from airborne data.
Can Remote Sens 27(6):627–635
Pierce KB, Ohmann JL, Wimberly MC, Gregory MJ, Fried JS (2009) Mapping wildland fuels and
forest structure for land management: a comparison of nearest neighbor imputation and other
methods. Can J For Res 39:1901–1916
Popescu SC (2007) Estimating biomass of individual pine trees using airborne lidar. Biomass and
Bioenergy 31(9):646–655
Popescu SC, Zhao K (2008) A voxel-based lidar method for assessing crown base height. Remote
Sens Environ 112(3):767–781
Popescu SC, Wynne RH, Nelson RF (2003) Measuring individual tree crown diameter with lidar
and assessing its influence on estimating forest volume and biomass. Can J Remote Sens
29(5):564–577
Popescu SC, Wynne RH, Scrivani JA (2004) Fusion of small-footprint lidar and multispectral
data to estimate plot-level volume and biomass in deciduous and pine forests in Virginia,
USA. For Sci 50:551–565
Powell SL, Warren B, Cohen WB, Healey SP, Kennedy RE, Moisen GG, Pierce KB, Ohmann JL
(2010) Quantification of live aboveground forest biomass dynamics with Landsat time-series
and field inventory data: a comparison of empirical modeling approaches. Remote Sens
Environ 114:1053–1068
Qi J, Chehbouni A, Huete AR, Kerr YH (1994) Modified Soil adjusted vegetation index
(MSAVI). Remote Sens Environ 48:119–126
Rahman MM, Csaplovics E, Koch B (2005) An efficient regression strategy for extracting forest
biomass information from satellite sensor data. Int J Remote Sens 26:1511–1519
Rahman MH, Okubo A, Kawai S, Sugiyama S (2008) Assessing microbial community in andisol
differing in management practices by biochemical and molecular fingerprinting methods. Int J
Soil Sci 3:1–10
Ranson KJ, Sun G (1994) Northern forest classification using temporal multifrequency and
multipolarimetric SAR images. Remote Sens Environ 47(2):142–153
Ranson KJ, Sun G (2000) Effects of environmental conditions on boreal forest classification and
biomass estimates with SAR. IEEE Trans Geosci Remote Sens 38(3):1242–1252.
Reese H, Nilsson M, Granqvist Pahlén T, Hagner O, Joyce S, Tingelöf U, Egberth M, Olsson H
(2003) Countrywide estimates of forest variables using satellite data and field data from the
National Forest Inventory. Ambio 32:542–548
Ripple WJ (1986) Spectral reflectance relationship to leaf water stress. Photogramm Eng Remote
Sens 52:1669–1675
Rock BN, Vogelmann JE, Williams DL, Vogelmann AF, Hoshizaki T (1986) Remote detection
of forest damage. Bioscience 36:439–445
Rouse J, Haas R, Schell J, Deering D, Harlan J (1973) Monitoring the vernal advancements and
retrogradation (greenwave effect) of nature vegetation. NASA/GSFC Final Report, NASA,
Greenbelt
Roy PS, Ravan SA (1996) Biomass estimation using satellite remote sensing data—an
investigation on possible approaches for natural forest. J Biosci 2:535–561
Saatchi SS, Houghton RA, Dos Santos Alvala RC, Soares JV, Yu Y (2007a) Distribution of
aboveground live biomass in the Amazon Basin. Glob Change Biol 13:816–837. doi:10.1111/
j.1365-2486.2007.01323.x
Saatchi SS, Houghton RA, Dos Santos Alvala RC, Soares JV, Yu Y (2007b) Distribution of
aboveground live biomass in the Amazon basin. Glob Change Biol 13:816–837
Saatchi SS, Harris NL, Brown S, Lefsky M, Mitchard ETA, Salas W, Zutta BR, Buermann W,
Lewis SL, Hagen S, Petrova S, White L, Silman M, Morel A (2011) Benchmark map of forest
carbon stocks in tropical regions across three continents. Proc Natl Acad Sci
108(24):9899–99044
96
X. Zhang and W. Ni-meister