The University of Michigan - Ann Arbor
Electrical Engineering and Computer Science
Department
Radar Image Processing
Lab
Biomass
Once an image has been classified
successfully one parameter that the ecological community is interested
in is some measure of the biomass: how much living vegetation there is.
Currently, the only way to accurately estimate the biomass is through the
use of fits of the radar backscatter values to known biomass values for
surveyed areas on the ground. Some examples are shown below:
Some of our publications in this area:
- Pierce, L.E., K. Sarabandi, and F.T. Ulaby, ``Application
of an artificial neural network in a canopy scattering model inversion,''
Int. J. Remote Sensing, vol. 15, no. 16, 3263-3270, 1994. [Abstract]
[umNNinversion.ps (180KB)] [umNNinversion.ps.gz
(40KB)] [umNNinversion.ps.zip (40KB)]
- Dobson, M. C., F. T. Ulaby, and L. E. Pierce, Land-Cover
Classification and Estimation of Terrain Attributes Using Synthetic Aperture
Radar Remote Sensing of Environment, Vol. 51, No. 1, pp. 199-214, Jan.
1995. [Abstract] [umClassEst.ps.gz]
- Dobson, M. C., F. T. Ulaby, L. E. Pierce, T. L. Sharik,
K. M. Bergen, J. Kellndorfer, J. R. Kendra, E. Li, Y. C. Lin, A. Nashashibi,
K. Sarabandi and P. Siqueira, "Estimation of Forest Biophysical Characteristics
in Northern Michigan with SIR-C/X-SAR, IEEE Trans. Geoscience and Remote
Sensing, Vol. 33, No. 4, pp. 877-895, July 1995. [Abstract] [umBiophysSIRC.ps.gz]
- Kasischke, E. S., J. M. Melack and M. C. Dobson, The
Use of Imaging Radars for Ecological Applications - A Review, Remote Sensing
of Environment, January 1996, accepted. [umEcology.ps.gz]
- Bergen, K.M., M.C. Dobson, L.E. Pierce and F.T. Ulaby,
Characterizing Carbon Dynamics in a Northern Forest Using SIR-C/X-SAR Imagery,
Remote Sensing of Environment, Aug. 1996, submitted. [Abstract]
[umCarbon.ps.gz 2.6MB] [umCarbon.ps.zip
2.6MB] [umCarbonBW.ps.gz 860KB] [umCarbonBW.ps.zip
860KB]
- Dobson, M. Craig, Leland E. Pierce, Fawwaz T. Ulaby,
Evaluation of SAR Sensor Configurations for Terrain Classification
and Forest Biophysical Retrievals, International Journal of Remote Sensing,
submitted 3-98. [Abstract] [umSensconfig.pdf]
The web address for this document is: http://www.eecs.umich.edu/RADLAB/sar_image_lab/biomass.html
last update: 3-19-98
Any questions or comments should be directed to: Leland
Pierce <lep@eecs.umich.edu>
Radar Image Processing Lab
The University of Michigan - EECS Dept.
1301 Beal Ave
Ann Arbor, MI 48109-2122