Biomass/Carbon
Albani, M., D. Medvi GY, G. Hurtt & P. Moorcroft.2006. The contributions of land-use change, CO2 fertilization, and climate variability to the Eastern US carbon sink.Global Change Biology 12, 2370-2390 pdf
Chambers, J., J. Fisher, H. Zeng, E. Chapman, D. Baker, G. Hurtt. 2007. Hurricane Katrina's Carbon Footprint on U.S. Gulf Coast Forests. Science Vol. 318, 1107. pdf
Houghton, R.A., K.T. Lawrence, J.L. Hackler, and S. Brown. 2001. The spatial distribution of forest biomass in the Brazilian Amazon: A comparison of estimates. Global Change Biology 7:731-746. pdf
Houghton, R.A. 2005. Aboveground forest biomass and the global carbon balance. Global Change Biology 11:945-958. pdf
Jeffrey Q. Chambers, Gregory P. Asner, Douglas C. Morton,Liana O. Anderson, Sassan S. Saatchi, Fernando D.B. Espı´rito-Santo, Michael Palace and Carlos Souza Jr Regional ecosystem structure and function: ecological insights
from remote sensing of tropical forests. Trends in Ecology and Evolution. pdf
Saatchi, S., R. A. Houghton, R. C. Dos Santos Alavala´, J. V. Soare and Y. YU. 2007.Distribution of aboveground live biomass in the Amazon Basin. Global Change Biology 13, 816-837. pdf
Ecosystem Structure
Papathanassiou, Konstantinos and Shane R. Cloude. 2001.
Single-Baseline Polarimetric SAR Interferometry. IEEE Transactions On Geoscience And Remote Sensing, Vol. 39, No. 11 pdf
Reigber, Andreas and Alberto Moreira. 2001. First Demonstration of Airborne SAR Tomography Using Multibaseline L-Band Data
IEEE Transactions On Geoscience And Remote Sensing, Vol. 38, No. 5. pdf
Saatchi, S., D. Agosti, K. Alger, J. Delabie, J. Musinsky. Examining Fragmentation and Loss of Primary Forest in the Southern Bahian Atlantic Forest of Brazil with Radar Imagery. Conservation Biology, Vol 15, No. 4, 867-875. pdf
Sassan S. Saatchi and Mahta Moghaddam. 2000. Estimation of Crown and Stem Water Content and Biomass of Boreal Forest Using Polarimetric SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing, Vol 38, No. 2. pdf
Sassan Saatchi, Kerry Halligan, Don G. Despain, and Robert L. Crabtree. 2007.Estimation of Forest Fuel Load From Radar Remote Sensing. Transactions on Geoscience and Remote Sensing, Vol. 45, No. 6. pdf
Treuhaft, Robert N. and Paul R. Siqueira. 2000. Vertical structure of vegetated land surfaces from interferometric and polarimetric radar. Radio Science, Volume 35, Number 1, Pages 141-177. pdf
Treuhaft. Robert N. , Gregory P. Asner, Beverly E. Law and Steven Van Tuyl. 2002. Forest leaf area density profiles from the quantitative fusion of radar and hyperspectral data. Journal Of Geophysical Research, Vol. 107, No. D21, 4568 pdf
Treuhaft. Robert N. , Gregory P. Asner, Beverly E. Law. 2003.
Structure-based forest biomass from fusion of radar and hyperspectral observations. Geophysical Research Letters, Vol. 30, No. 9, 1472. pdf
Treuhaft, Robert N., Beverly E. Law, And Gregory P. Asner. 2004.
Forest Attributes from Radar Interferometric Structure and Its Fusion with Optical Remote Sensing. Bioscience Vol 54, No. 6. pdf
Biodiversity & Habitat
Bergen, K.M., A.M. Gilboy and D.G. Brown, 2007. Multi-dimensional vegetation structure in modeling avian habitat, Ecological Informatics, 2(1): 9-22. pdf
Wolfgang Buermann, Sassan Saatchi, Thomas B. Smith, Brian R.
Zutta, Jaime A. Chaves, Borja Mila and Catherine H. Graham. Predicting
species distributions across the Amazonian and Andean regions using remote
sensing data. Journal of Biogeography (J. Biogeogr.) (2008) pdf
Goetz, S., D. Steinberg, R. Dubayah and B. Blair, 2007. Laser remote sensing of canopy habitat heterogeneity as a predictor of bird species richness in an eastern temperate forest, USA, Remote Sensing of Environment, 108(3): 254-263. pdf
Hyde, P., R. Dubayah, W. Walker, J.B. Blair, M. Hofton and C. Hunsaker, 2006. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM plus, Quickbird) synergy, Remote Sensing of Environment, 102(1-2): 63-73. pdf
Imhoff, M.L., T.D. Sisk, A. Milne, G. Morgan and T. Orr, 1997. Remotely
sensed indicators of habitat heterogeneity: Use of synthetic aperture
radar in mapping vegetation structure and bird habitat, Remote Sensing of Environment, 60(3): 217-227. pdf
Prates-Clark, C., S. Saatchi and D. Agosti, 2008 in press. Predicting
geographical distribution models of high-value timber trees in the
Amazon basin using remote sensing, Ecological Modeling. pdf
Modeling
Ankur R. Desai, Paul R. Moorcroft,
Paul V. Bolstad, and Kenneth J. Davis. 2007. Regional carbon fluxes from an
observationally constrained dynamic ecosystem model: Impacts of disturbance, CO2
fertilization, and heterogeneous land cover. Journal of Geophysical Research,
Vol. 112 pdf
Hurtt GC, Dubayah RD, Drake J, Moorcroft PR, Pacala SW, Blair JB, Fearon MG (2004). Beyond potential vegetation: combining lidar data and a height-structured ecosystem model for carbon studies. Ecological Applications 14(3): 873-883. pdf
George C. Hurtt, P. Moorcroft, S. Pacala and S. Levin.
1998. Terrestrial models and global
change: challenges for the future. Global Change Biology 4, 581-590. pdf
G. C. Hurtt, S. W. Pacala, P. R.
Moorcroft, J. Caspersen, E. Shevliakova, R. A. Houghton, and B. Moore III.
2002. Projecting the future of the U.S. carbon sink. PNAS , vol. 99, no. 3, 1389-1394. pdf
G .
C . Hurtt, S. Frolking, M. G. Fearon, B. Moore, E. Shevliakova,
J. S. Kimball and S. W. Running & S. S. Saatchi.Sensitivity of boreal forest regional water flux and net primary production simulations to sub-grid-scale land cover complexity. Journal of Geophysical Research, Vol. 104, No. D22, pp 27,789-27, 801 pdf
Moorcroft, P.R., G.C. Hurtt, &
S.W. Pacala. 2001. A Method for Scaling Vegetation Dynamics: The Ecosystem Demography Model
(ED). Ecological Monographs, 71(4), pp. 557-586 pdf
Moorcroft, P.R. 2006. How close are we to a predictive science
of the biosphere? Trends in Ecology and Evolution Vol.21 No. 7 pdf
Moorcroft, P.R. 2003. Recent advances in ecosystem-atmosphere interactions:
an ecological perspective. The Royal Society Review Paper. pdf