Using a LIDAR vegetation model to predict UHF SAR attenuation in coniferous forests

Sensors

Volumn 9, Issue 3, 2009, Pages 1559-1573

  Swanson, Alan ^a   Huang, Shengli ^a,b   Crabtree, Robert ^a  

^a Yellowstone Ecological Research Center   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

Author keywords

Attenuation; Forest; Lidar; SAR

Indexed keywords

ATTENUATION; CONIFEROUS FORESTS; CORNER REFLECTOR; FOREST; SAR; SMALL FOOTPRINTS; VEGETATION COMPONENTS; VEGETATION MODEL;

COMPUTER SIMULATION; FORESTRY; RAY TRACING; SYNTHETIC APERTURE RADAR; VEGETATION;

OPTICAL RADAR;

EID: 63849176053     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s90301559     Document Type: Article

References (16)

1. Bessette, L.A.; Ayasli, S. Ultra-Wideband P-3 and CARABAS II Foliage Attenuation and Backscatter Analysis. Proc IEEE 2001 Radar Conf. Atlanta, Georgia, USA, May 1-3, 2001; pp. 357-362.
2. Binder, B.T; Toups, M.F.; Ayasli, E.M.; Adams, E.M. SAR Foliage Penetration Phenomenology of Tropical Rain Forest and Northern US Forest. Proc IEEE 1995 Int. Radar Conf. Alexandria, VA, USA, May 8-11, 1995; pp. 158-163.
3. Melon, P.; Martinez, J.M.; Le Toan, T.; Ulander, L.M.H.; Beaudoin, A. On the Retrieving of Forest Stem Volume From VHF SAR Data: Observation and Modeling. IEEE Trans. Geosci. Remote Sens. 2001, 39, 2634-2372.
4. Attema, E.P.W.; Ulaby F.T. Vegetation Modeled as a Water Cloud. Radio Sci. 1978, 13, 357-364.
5. Castel, T.; Beaudoin, A.; Stach, N.; Stussi, N. Sensitivity of Space-Borne SAR Data to Forest Parameters over Sloping Terrain. Theory and experiment. Int. J. Remote Sens. 2001, 22, 2351-2376.
6. Saatchi, S.S.; Moghaddam, M. Estimation of Crown and Stem Water Content and Biomass of Boreal Forest Using Polarimetric SAR Imagery. IEEE Trans. Geosci. Remote Sens. 2000, 38, 697-709.
7. Fleischman, J.G.; Ayasli, S.; Adams, E.M.; Gosselin, D.R. Part I: Foliage Attenution and Backscatter Analysis of SAR Imagery. IEEE Trans. Aero. Elec. Sys. 1996, 32, 135-144.
8. Bessette, L.A.; Crooks, S.M.; Ayasli, S. P-3 Ultar-wideband SAR, Grayling, Michigan, Target and Clutter Phemomenology. Record 1999 IEEE Radar Conf. Waltham, MA, USA, April 20-22, 1999; pp. 125-129.
9. Goldhirsh, J.; vogel, W.J. Mobile Satellite System Fade Statistics for Shadowing and Multipath from Roadside Trees at UHF and L-Band. IEEE T. Antenn. Propag. 1989, 37, 489-498.
10. Cavdar, I.H. UHF and L Band Propagation Measurements to Obtain Log-Normal Shadowing Parameters for Mobile Satellite Link Design. IEEE T. Antenn. Propag. 2003, 51, 126-130.
11. Halligan, K.Q. Mapping Forest Canopy Fuels in Yellowstone National Park Using LIDAR and Hyperspectral Data. PhD Dissertation. University of California, Santa Barbara: Santa Barbara, USA, 2007.
12. Flewelling, J.W; Raynes, L.M. Variable-Shape Stem-Profile Predictions for Western Hemlock. I: Predictions from DBH and Total Height. Can. J. Forest Res. 1993, 23, 520-536.
13. Runkle, P.; Nguyen, L.H.; McClellan, J.H.; Carin, L. Multi-Aspect Target Detection for SAR Imagery Using Hidden Markov Models. IEEE Trans. Geosci. Remote 2001, 39, 46-55.
14. R Development Core Team. R: A Language and Environment for Statistical Computing, 2008. http://www.R-project.org
15. Pinheiro, J.C.; Bates, D.M. Mixed-Effects Models in S and S-PLUS. Springer: New York, 2000.
16. Akaike, H. A New Look at the Statistical Model Identification. IEEE Trans. Automat. Contr. 1974, 19, 716-723.