Hall FG, Shimabukuro YE, Huemmrich KF (1995) Remote sensing of forest biophysical structure
in boreal stands of Picea Mariana using mixture decomposition and geometric reflectance
models. Ecol Appl 5(4):993–1013
Hall RJ, Skakun RS, Arsenault EJ, Case BS (2006) Modeling forest stand structure attributes
using Landsat ETM ? data: Application to mapping of aboveground biomass and stand
volume. For Ecol Manag 225:378–390
Halme M, Tomppo E (2001) Improving the accuracy of multisource forest inventory estimates by
reducing plot location error—a multicriteria approach. Remote Sens Environ 78:321–327
Harding DJ Carabajal CC (2005) ICESat waveform measurements of withinfootprint topographic
relief and vegetation vertical structure. Geophys Res Lett 32:L21S10, doi: 10.1029/
2005GL023471
Häme T, Salli A, Andersson K, Lohi A (1997) A new methodology for the estimation of biomass
of conifer-dominated boreal forest using NOAA AVHRR data. Int J Remote Sens
18:3211–3243
Harmon ME, Ferrell WK, Franklin JF (1990) Effects on carbon storage of conversion of oldgrowth forests to young forests. Science 247(4943):699–702
Heiskanen J (2006a) Estimating aboveground tree biomass and leaf area index (LAI) in a
mountain birch forest using ASTER satellite data. Int J Remote Sens 27:1135–1158
Heiskanen J (2006b) Tree cover and height estimation in the Fennoscandian tundrataiga transition
zone using multiangular MISR data. Remote Sens Environ 103:97–114
Hoffer RM (1978) Biological and physical considerations in applying computer-aided analysis
techniques to remote sensor data. In: Swain PH, Davis SM (eds) Remote sensing: the
quantitative approach, McGraw-Hill Book Company, New York, pp 227–289
Horne JH (2003) A tasseled cap transformation for IKONOS images. ASPRS 2003 Annual
Conference Proceedings, May 2003, Anchorage, Alaska
Houghton RA, Butman D, Bunn AG, Krankina ON, Schlesinger P, Stone TA (2007) Mapping
Russian forest biomass with data from satellites and forest inventories. Environ Res Lett 2:
doi: 10.1088/1748-9326/2/4/045032
Huang C, Wylie B, Homer C, Yang L, Zylstra G (2002) Derivation of a Tasseled cap
transformation based on Landsat 7 at-satellite reflectance. Int J Remote Sens 23:1741–1748
Hudak AT, Lefsky MA, Cohen, WB, Berterretche M (2002) Integration of lidar and Landsat
ETM+ data for estimating and mapping forest canopy height. Remote Sens Environ
82:397–416
Huete AR, Jackson RD, Post DF (1985) Spectral response of a plant canopy with different soil
backgrounds. Remote Sens Environ 17:37–53
Huete AR, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the
radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens
Environ 83:195–213
Hyde P, Dubayah R, Peterson B, Blair JB, Hofton M, Hunsaker C et al (2005) Mapping forest
structure for wildlife habitat analysis using waveform LiDAR: validation of montane
ecosystems. Remote Sens Environ 96:427–437
Hyde P, Nelson R, Kimes D, Levine E (2007) Exploring LiDAR-RaDAR synergy predicting
aboveground biomass in a southwestern ponderosa pine forest using LiDAR, SAR, and
InSAR. Remote Sens Environ 106:28–38
Imhoff M (1995) Radar backscatter and biomass saturation: ramifications for global biomass
inventory. IEEE Trans Geosci Remote Sens 33(2):511–518
Jakubauskas ME, Price KP (1997) Empirical relationships between biotic and spectral factors of
Yellowstone lodgepole pine forests. Photogramm Eng Remote Sens 63(12):1375–1381
Jarvis PG, Leverenz JW (1983) Productivity of temperate, deciduous and evergreen forests.
Encycl Plant Physiol No.12D:233–280
Jasinski MF, Crago RD (1999) Estimation of vegetation aerodynamic roughness of natural
regions using frontal area density determined from satellite imagery. Agric For Meteorol
94:65–99
92
X. Zhang and W. Ni-meister
in boreal stands of Picea Mariana using mixture decomposition and geometric reflectance
models. Ecol Appl 5(4):993–1013
Hall RJ, Skakun RS, Arsenault EJ, Case BS (2006) Modeling forest stand structure attributes
using Landsat ETM ? data: Application to mapping of aboveground biomass and stand
volume. For Ecol Manag 225:378–390
Halme M, Tomppo E (2001) Improving the accuracy of multisource forest inventory estimates by
reducing plot location error—a multicriteria approach. Remote Sens Environ 78:321–327
Harding DJ Carabajal CC (2005) ICESat waveform measurements of withinfootprint topographic
relief and vegetation vertical structure. Geophys Res Lett 32:L21S10, doi: 10.1029/
2005GL023471
Häme T, Salli A, Andersson K, Lohi A (1997) A new methodology for the estimation of biomass
of conifer-dominated boreal forest using NOAA AVHRR data. Int J Remote Sens
18:3211–3243
Harmon ME, Ferrell WK, Franklin JF (1990) Effects on carbon storage of conversion of oldgrowth forests to young forests. Science 247(4943):699–702
Heiskanen J (2006a) Estimating aboveground tree biomass and leaf area index (LAI) in a
mountain birch forest using ASTER satellite data. Int J Remote Sens 27:1135–1158
Heiskanen J (2006b) Tree cover and height estimation in the Fennoscandian tundrataiga transition
zone using multiangular MISR data. Remote Sens Environ 103:97–114
Hoffer RM (1978) Biological and physical considerations in applying computer-aided analysis
techniques to remote sensor data. In: Swain PH, Davis SM (eds) Remote sensing: the
quantitative approach, McGraw-Hill Book Company, New York, pp 227–289
Horne JH (2003) A tasseled cap transformation for IKONOS images. ASPRS 2003 Annual
Conference Proceedings, May 2003, Anchorage, Alaska
Houghton RA, Butman D, Bunn AG, Krankina ON, Schlesinger P, Stone TA (2007) Mapping
Russian forest biomass with data from satellites and forest inventories. Environ Res Lett 2:
doi: 10.1088/1748-9326/2/4/045032
Huang C, Wylie B, Homer C, Yang L, Zylstra G (2002) Derivation of a Tasseled cap
transformation based on Landsat 7 at-satellite reflectance. Int J Remote Sens 23:1741–1748
Hudak AT, Lefsky MA, Cohen, WB, Berterretche M (2002) Integration of lidar and Landsat
ETM+ data for estimating and mapping forest canopy height. Remote Sens Environ
82:397–416
Huete AR, Jackson RD, Post DF (1985) Spectral response of a plant canopy with different soil
backgrounds. Remote Sens Environ 17:37–53
Huete AR, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the
radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens
Environ 83:195–213
Hyde P, Dubayah R, Peterson B, Blair JB, Hofton M, Hunsaker C et al (2005) Mapping forest
structure for wildlife habitat analysis using waveform LiDAR: validation of montane
ecosystems. Remote Sens Environ 96:427–437
Hyde P, Nelson R, Kimes D, Levine E (2007) Exploring LiDAR-RaDAR synergy predicting
aboveground biomass in a southwestern ponderosa pine forest using LiDAR, SAR, and
InSAR. Remote Sens Environ 106:28–38
Imhoff M (1995) Radar backscatter and biomass saturation: ramifications for global biomass
inventory. IEEE Trans Geosci Remote Sens 33(2):511–518
Jakubauskas ME, Price KP (1997) Empirical relationships between biotic and spectral factors of
Yellowstone lodgepole pine forests. Photogramm Eng Remote Sens 63(12):1375–1381
Jarvis PG, Leverenz JW (1983) Productivity of temperate, deciduous and evergreen forests.
Encycl Plant Physiol No.12D:233–280
Jasinski MF, Crago RD (1999) Estimation of vegetation aerodynamic roughness of natural
regions using frontal area density determined from satellite imagery. Agric For Meteorol
94:65–99
92
X. Zhang and W. Ni-meister