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Dr. Geoffrey M. Henebry
Phone: 605-688-5351 Email: Geoffrey.Henebry@sdstate.eduAddress: 1021 Medary Ave. Wecota Hall, 506B, Brookings, SD 57007 Interests: Landscape ecology, ecological remote sensing, modelingPersonnel Home Page: Publication
1. Goodin, D. G., J. Gao, and G. M. Henebry. 2004. The effect of solar zenith angle and sensor view angle on observed patterns of spatial structure in tallgrass prairie. IEEE Transactions on Geoscience and Remote Sensing 42: 154- 165.

2. Henebry, G.M. 2003. Grasslands of the North American Great Plains. Phenology: An Integrative Environmental Science 157- 174.

3. Goodin, D. G., and G. M. Henebry. 2002. The effect of rescaling on fine spatial resolution NDVI data: a test using multi-resolution aircraft data. International Journal of Remote Sensing 23: 3865- 3871.

4. Goodin, D. G., and G. M. Henebry.. 1998. Variability of spectral reflectance and vegetation indices in tallgrass prairie: spatio-temporal analysis using semivariograms and close-range remote sensing. Digest of IGARSS 34 301- 305.

5. Briggs, J. M., M. D. Nellis, C. L. Turner, G. M. Henebry, and H. Su. 1998. A landscape perspective of patterns and processes in tallgrass prairie. Grassland Dynamics: Long-Term Ecological Research in Tallgrass Prairie 265- 279.

6. Goodin, D. G., and G. M. Henebry. 1998. Seasonality of finely-resolved spatial structure of NDVI and its component reflectances in tallgrass prairie. International Journal of Remote Sensing 19: 3213- 3220.

7. Briggs, J. M., D. R. Rieck, C. L. Turner, G. M. Henebry, D. G. Goodin, and M. D. Nellis. 1997. Spatial and temporal patterns of vegetation in the Flint Hills. Transactions Kansas Academy of Science 100: 10- 20.

8. Goodin, D. G., and G. M. Henebry. 1997. A technique for monitoring ecological disturbance in tallgrass prairie using seasonal NDVI trajectories and a discriminant function mixture model. Remote Sensing of the Environment 61: 270- 278.

9. Henebry, G. M. 1997. Advantages of principal components analysis for land cover segmentation from SAR image series. Proceedings of 3rd ERS Symposium on Space at the service of our Environment 175- 178.

10. Dodds, W. K., J. M. Blair, G. M. Henebry, J. K. Koelliker, R. A. Ramundo, and C. M. Tate. 1996. Nitrogen transport from tallgrass prairie watersheds. Journal of Environmental Quality 25: 973- 981.

11. Dodds, W. K., and G. M. Henebry. 1996. The effect of density dependence on community structure. Ecological Modelling 93: 33- 42.

12. Goodin, D. G., and G. M. Henebry. 1996. Seasonal NDVI trajectories in response to disturbance: toward a spectral-temporal mixing model for tallgrass prairie. Digest of IGARSS '96 215- 217.

13. Henebry, G. M., and A. K. Knapp. 1996. Spatio-temporal dynamics of soil moisture in tallgrass prairie using ERS-1 SAR image time series: first year results. Digest of IGARSS '96 166- 168.

14. Dodds, W. K., and G. M. Henebry. 1995. Simulation of responses of community structure to species interactions driven by phenotypic change. Ecological Modelling 79: 85- 94.

15. Henebry, G. M. 1995. Spatial model error analysis using autocorrelation indices. Ecological Modelling 82: 75- 91.

16. Henebry, G. M., and H. Su. 1995. Observing spatial structure in the Flint Hills using AVHRR biweekly composites of maximum NDVI. Proceedings of the 14th North America Prairie Conference 143- 151.

17. Henebry, G. M. 1993. Detecting change in grasslands using measures of spatial dependence with Landsat TM data. Remote Sensing of Environment 46: 223- 234.

18. Henebry, G. M., and H. Su. 1993. Using landscape trajectories to assess the effects of radiometric rectification. International Journal of Remote Sensing 14: 2417- 2423.

Copyright 2004. Konza Prairie Long Term Ecological Research (LTER) Program. All rights reserved.

This material is based upon work supported by the National Science Foundation under the Long Term Ecological Research Program at Konza Prairie Biological Station. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necesarily reflect the views of the National Science Foundation.