Dong J, Kaufmann RK, Myneni RB, Tucker CJ, Kauppi PE, Liski J, Buermann W, Alexeyev V,
Hughes MK (2003) Remote sensing estimates of boreal and temperate forest woody biomass:
carbon pools, sources, and sinks. Remote Sens Environ 84:393–410
Drake JB, Dubayah RO, Clark DB, Knox RG, Blair JB, Hofton MA, Chazdon RL, Weishampel
JF, Prince SD (2002) Estimation of tropical forest structural characteristics using largefootprint lidar. Remote Sens Environ 79:305–319. Remote Sens Environ 112:3876–3890
Drake JB, Knox RG, Dubayah RO, Clark DB, Condit R, Blair JB, Hofton M (2003) Aboveground biomass estimation in closed canopy Neotropical forests using lidar remote sensing:
factors affecting the generality of relationships. Glob Ecol Bio-geogr 12(2):147–159
Dubayah R, Drake JB (2000) Lidar remote sensing for forestry applications. J For 98:44–46
Eklundh L, Hall K, Eriksson H, Ardö J, Pilesjö P (2003) Investigating the use of LANDSAT
thematic mapper data for estimation of forest leaf area index in southern Sweden. Can J
Remote Sens 29:349–362
Fazakas Z, Nilsson M, Olsson H (1999) Regional forest biomass and wood volume estimation
using satellite data and ancillary data. Agric For Meteorol 98–99:417–425
Finley AO, McRoberts RE (2008) Efficient k-nearest neighbor searches for multi-source forest
attribute mapping. Remote Sens Environ 112:2203–2211
Foody GM, Cutler ME, Mcmorrow J, Pelz D, Tangki H, Boyd DS, Douglas I (2001) Mapping the
biomass of Bornean tropical rain forest from remotely sensed data. Glob Ecol Biogeogr
10:379–387
Foody GM, Boyd DS, Cutler MEJ (2003) Predictive relations of tropical forest biomass from
Landsat TM data and their transferability between regions. Remote Sens Environ 85:463–474
Franco-Lopez H, Ek AR, Bauer ME (2001) Estimation and mapping of forest stand density,
volume, and cover type using k-nearest neighbors method. Remote Sens Environ 77:251–274
Franklin J, Hiernaux PYH (1991) Estimating foliage and woody biomass in Sahelian and
Sudanian woodlands using a remote sensing model. Int J Remote Sens 12:1387–1404
Fraser RH, Li Z (2002) Estimating fire-related parameters in boreal forest using SPOT
VEGETATION. Remote Sens Environ 82:95–110
García M, Riaño D, Chuvieco E, Danson FM (2010) Estimating biomass carbon stocks for a
Mediterranean forest in Spain using height and intensity LiDAR data. Remote Sens Environ
114:816–830
Gholz HL, Grier CC, Campbell AG, Brown AT (1979) Equations for estimating biomass and leaf
area of plants in the Pacific Northwest, Res. Pap. 41, Oregon State University, For. Res. Lab.,
Corvallis, p 39
Gibbs HK, Brown S, Niles JO, Foley JA (2007) Monitoring and estimating tropical forest carbon
stocks: making REDD a reality. Environ Res Lett 2. Doi: 10.1088/1748-9326/2/4/045023
Gillespie AJR, Brown S, Lugo AE (1992) Tropical forest biomass estimation from truncated
stand tables. For Ecol Manage 48:69–88
Gjertsen A (2005) Accuracy of forest mapping based on Landsat TM data and a kNN method. In:
Olsson H (ed) Proceedings of ForestSat 2005, Borås, Sweden, 31 May–3 June 2005, pp 7–11.
http://www.skogsstyrelsen.se
Goetz SJ, Baccini A, Laporte N, Johns T, Walker WS, Kellndorfer JM, Houghton RA, Sun M
(2009) Mapping and monitoring carbon stocks with satellite observations: a comparison of
methods. Carbon Balance Manag 4(2): doi: 10.1186/1750-0680-1184-1182
Gonzalez P, Asner GP, Battles JJ, Lefsky MA, Waring KM, Palace M (2010) Forest carbon
densities and uncertainties from Lidar, QuickBird, and field measurements in California.
Remote Sens Environ 114:1561–1575
Gougeon FA, Leckie D (1999) Forest regeneration: individual tree crown detection techniques for
density and stocking assessment. Proceedings of the international forum on automated
interpretation of high spatial resolution digital imagery for forestry, Feb 10–12, Natural
Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, B.C.,
pp 169–177
Greenberg JA, Dobrowski SZ, Ustin SL (2005) Shadow allometry estimating tree structural
parameters using hyperspatial image analysis. Remote Sens Environ 97:15–25
3 Remote Sensing of Forest Biomass
91
Hughes MK (2003) Remote sensing estimates of boreal and temperate forest woody biomass:
carbon pools, sources, and sinks. Remote Sens Environ 84:393–410
Drake JB, Dubayah RO, Clark DB, Knox RG, Blair JB, Hofton MA, Chazdon RL, Weishampel
JF, Prince SD (2002) Estimation of tropical forest structural characteristics using largefootprint lidar. Remote Sens Environ 79:305–319. Remote Sens Environ 112:3876–3890
Drake JB, Knox RG, Dubayah RO, Clark DB, Condit R, Blair JB, Hofton M (2003) Aboveground biomass estimation in closed canopy Neotropical forests using lidar remote sensing:
factors affecting the generality of relationships. Glob Ecol Bio-geogr 12(2):147–159
Dubayah R, Drake JB (2000) Lidar remote sensing for forestry applications. J For 98:44–46
Eklundh L, Hall K, Eriksson H, Ardö J, Pilesjö P (2003) Investigating the use of LANDSAT
thematic mapper data for estimation of forest leaf area index in southern Sweden. Can J
Remote Sens 29:349–362
Fazakas Z, Nilsson M, Olsson H (1999) Regional forest biomass and wood volume estimation
using satellite data and ancillary data. Agric For Meteorol 98–99:417–425
Finley AO, McRoberts RE (2008) Efficient k-nearest neighbor searches for multi-source forest
attribute mapping. Remote Sens Environ 112:2203–2211
Foody GM, Cutler ME, Mcmorrow J, Pelz D, Tangki H, Boyd DS, Douglas I (2001) Mapping the
biomass of Bornean tropical rain forest from remotely sensed data. Glob Ecol Biogeogr
10:379–387
Foody GM, Boyd DS, Cutler MEJ (2003) Predictive relations of tropical forest biomass from
Landsat TM data and their transferability between regions. Remote Sens Environ 85:463–474
Franco-Lopez H, Ek AR, Bauer ME (2001) Estimation and mapping of forest stand density,
volume, and cover type using k-nearest neighbors method. Remote Sens Environ 77:251–274
Franklin J, Hiernaux PYH (1991) Estimating foliage and woody biomass in Sahelian and
Sudanian woodlands using a remote sensing model. Int J Remote Sens 12:1387–1404
Fraser RH, Li Z (2002) Estimating fire-related parameters in boreal forest using SPOT
VEGETATION. Remote Sens Environ 82:95–110
García M, Riaño D, Chuvieco E, Danson FM (2010) Estimating biomass carbon stocks for a
Mediterranean forest in Spain using height and intensity LiDAR data. Remote Sens Environ
114:816–830
Gholz HL, Grier CC, Campbell AG, Brown AT (1979) Equations for estimating biomass and leaf
area of plants in the Pacific Northwest, Res. Pap. 41, Oregon State University, For. Res. Lab.,
Corvallis, p 39
Gibbs HK, Brown S, Niles JO, Foley JA (2007) Monitoring and estimating tropical forest carbon
stocks: making REDD a reality. Environ Res Lett 2. Doi: 10.1088/1748-9326/2/4/045023
Gillespie AJR, Brown S, Lugo AE (1992) Tropical forest biomass estimation from truncated
stand tables. For Ecol Manage 48:69–88
Gjertsen A (2005) Accuracy of forest mapping based on Landsat TM data and a kNN method. In:
Olsson H (ed) Proceedings of ForestSat 2005, Borås, Sweden, 31 May–3 June 2005, pp 7–11.
http://www.skogsstyrelsen.se
Goetz SJ, Baccini A, Laporte N, Johns T, Walker WS, Kellndorfer JM, Houghton RA, Sun M
(2009) Mapping and monitoring carbon stocks with satellite observations: a comparison of
methods. Carbon Balance Manag 4(2): doi: 10.1186/1750-0680-1184-1182
Gonzalez P, Asner GP, Battles JJ, Lefsky MA, Waring KM, Palace M (2010) Forest carbon
densities and uncertainties from Lidar, QuickBird, and field measurements in California.
Remote Sens Environ 114:1561–1575
Gougeon FA, Leckie D (1999) Forest regeneration: individual tree crown detection techniques for
density and stocking assessment. Proceedings of the international forum on automated
interpretation of high spatial resolution digital imagery for forestry, Feb 10–12, Natural
Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, B.C.,
pp 169–177
Greenberg JA, Dobrowski SZ, Ustin SL (2005) Shadow allometry estimating tree structural
parameters using hyperspatial image analysis. Remote Sens Environ 97:15–25
3 Remote Sensing of Forest Biomass
91