vertical vegetation structure of ecosystems at regional and continental scales;
however it lacks the imaging capabilities. Fusion of lidar remote sensing with
imaging capability from radar or passive optical remote sensing provides a
promising in mapping above-ground biomass in future.
References
Aboal JR, Areval JR, Fernandez A (2005) Allometric relationships of different tree species and
stand above ground biomass in the Gomera laurel forest (Canary Island). Flora 200:264–274
Anderson HE, Reutebuch SE, McGaughey RJ (2006) A rigorous assessment of tree height
measurements obtained using airborne Lidar and conventional field methods. Can J Remote
Sens 32(5):355–366
Asner GP, Knapp DE, Kennedy-Bowdoin T, Jones MO, Martin RE, Boardman J, Field CB (2007)
Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light
detection and ranging (Lidar) for three-dimensional studies of ecosystems. J Appl Remote
Sens 1. http://dx.doi.org/10.1117/1111.2794018
Asner GP, Knapp DE, Boardman J, Green RO, Kennedy-Bowdoin T, Eastwood M, Martin RE,
Anderson C, Field CB (2012a) Carnegie Airborne Observatory-2: increasing science data
dimensionality via high-fidelity multi-sensor fusion. Remote Sens Environ 124:454–465
Asner GP, Clark JK, Mascaro J, Galindo Garcia GA, Chadwick KD, Navarrete Encinals DA,
Paez-Acosta G, Cabrera Montenegro E, Kennedy-Bowdoin T, Dugue A, Balaji A, von
Hildebrand P, Maatoug L, Phillips Bernal JF, Yepes Quintero AP, Knapp D E, Garcia Davila
MC, Jacobson J, Ordones MF (2012b) High-resolution mapping of forest carbon stocks in the
Colombian Amazon. Biogeosciences 9:2683–2696
Avitabile V, Herold M, Henry M, Schmullius C (2011) Mapping biomass with remote sensing: a
comparison of methods for the case study of Uganda. Carbon Balance Manag 6(7):1–14
Baccini A, Friedl MA, Woodcock CE, Warbington R (2004) Forest biomass estimation over
regional scales using multisource data. Geophys Res Lett 31(10):L10501
Baccini A, Laporte N, Goetz SJ, Sun M, Dong H (2008) A first map of tropical Africa’s aboveground biomass derived from satellite imagery. Environ Res Lett 3:045011
Bauer G, Schulze E-D, Mund M (1997) Nutrient contents and concentrations in relation to growth
of Picea abies and Fagus sylvatica along a European transect. Tree Physiol 17:777–786
Bausch WC (1993) Soil background effects on reflectance-based crop coefficients for corn.
Remote Sens Environ 46:213–222
Ben-Ze’ev E, Karnieli A, Agam N, Kaufman Y, Holben B (2006) Assessing vegetation condition
in the presence of biomass burning smoke by applying the aerosol-free vegetation index
(AFRI) on MODIS. Int J Remote Sens 27:3203–3221
Birth GS, Mcvey GR (1968) Measuring the colour of growing turf with a reflectance
spectrophotometer. Agron J 60:640–643
Blackard JA, Finco MV, Helmer EH, Holden GR, Hoppus ML, Jacobs DM, Lister AJ, Moisen
GG, Nelson MD, Riemann R, Ruefenacht B, Salajanu D, Weyermann DL, Winterberger KC,
Brandeis TJ, Czaplewski RL, McRoberts RE, Patterson PL, Tymcio RP (2008) Mapping U.S.
forest biomass using nationwide forest inventory data and moderate resolution information.
Remote Sens Environ 112:1658–1677
Blair JB, Rabine DL, Hofton MA (1999) The laser vegetation imaging sensor: a medium-altitude,
digitisation-only, airborne laser altimeter for mapping vegetation and topography. ISPRS J
Photogramm Remote Sens 54:115–122
Blair JB, Hofton MA, Rabine DL (2004) Processing of NASA LVIS elevation and canopy (LGE,
LCE and LGW) data products, version 1.0. (http://lvis.gsfc.nasa.gov)
3 Remote Sensing of Forest Biomass
89
however it lacks the imaging capabilities. Fusion of lidar remote sensing with
imaging capability from radar or passive optical remote sensing provides a
promising in mapping above-ground biomass in future.
References
Aboal JR, Areval JR, Fernandez A (2005) Allometric relationships of different tree species and
stand above ground biomass in the Gomera laurel forest (Canary Island). Flora 200:264–274
Anderson HE, Reutebuch SE, McGaughey RJ (2006) A rigorous assessment of tree height
measurements obtained using airborne Lidar and conventional field methods. Can J Remote
Sens 32(5):355–366
Asner GP, Knapp DE, Kennedy-Bowdoin T, Jones MO, Martin RE, Boardman J, Field CB (2007)
Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light
detection and ranging (Lidar) for three-dimensional studies of ecosystems. J Appl Remote
Sens 1. http://dx.doi.org/10.1117/1111.2794018
Asner GP, Knapp DE, Boardman J, Green RO, Kennedy-Bowdoin T, Eastwood M, Martin RE,
Anderson C, Field CB (2012a) Carnegie Airborne Observatory-2: increasing science data
dimensionality via high-fidelity multi-sensor fusion. Remote Sens Environ 124:454–465
Asner GP, Clark JK, Mascaro J, Galindo Garcia GA, Chadwick KD, Navarrete Encinals DA,
Paez-Acosta G, Cabrera Montenegro E, Kennedy-Bowdoin T, Dugue A, Balaji A, von
Hildebrand P, Maatoug L, Phillips Bernal JF, Yepes Quintero AP, Knapp D E, Garcia Davila
MC, Jacobson J, Ordones MF (2012b) High-resolution mapping of forest carbon stocks in the
Colombian Amazon. Biogeosciences 9:2683–2696
Avitabile V, Herold M, Henry M, Schmullius C (2011) Mapping biomass with remote sensing: a
comparison of methods for the case study of Uganda. Carbon Balance Manag 6(7):1–14
Baccini A, Friedl MA, Woodcock CE, Warbington R (2004) Forest biomass estimation over
regional scales using multisource data. Geophys Res Lett 31(10):L10501
Baccini A, Laporte N, Goetz SJ, Sun M, Dong H (2008) A first map of tropical Africa’s aboveground biomass derived from satellite imagery. Environ Res Lett 3:045011
Bauer G, Schulze E-D, Mund M (1997) Nutrient contents and concentrations in relation to growth
of Picea abies and Fagus sylvatica along a European transect. Tree Physiol 17:777–786
Bausch WC (1993) Soil background effects on reflectance-based crop coefficients for corn.
Remote Sens Environ 46:213–222
Ben-Ze’ev E, Karnieli A, Agam N, Kaufman Y, Holben B (2006) Assessing vegetation condition
in the presence of biomass burning smoke by applying the aerosol-free vegetation index
(AFRI) on MODIS. Int J Remote Sens 27:3203–3221
Birth GS, Mcvey GR (1968) Measuring the colour of growing turf with a reflectance
spectrophotometer. Agron J 60:640–643
Blackard JA, Finco MV, Helmer EH, Holden GR, Hoppus ML, Jacobs DM, Lister AJ, Moisen
GG, Nelson MD, Riemann R, Ruefenacht B, Salajanu D, Weyermann DL, Winterberger KC,
Brandeis TJ, Czaplewski RL, McRoberts RE, Patterson PL, Tymcio RP (2008) Mapping U.S.
forest biomass using nationwide forest inventory data and moderate resolution information.
Remote Sens Environ 112:1658–1677
Blair JB, Rabine DL, Hofton MA (1999) The laser vegetation imaging sensor: a medium-altitude,
digitisation-only, airborne laser altimeter for mapping vegetation and topography. ISPRS J
Photogramm Remote Sens 54:115–122
Blair JB, Hofton MA, Rabine DL (2004) Processing of NASA LVIS elevation and canopy (LGE,
LCE and LGW) data products, version 1.0. (http://lvis.gsfc.nasa.gov)
3 Remote Sensing of Forest Biomass
89