Geospatial Modeling Techniques
Daniel J. Weiss, Robert L. Crabtree, Percent surface water estimation from MODIS BRDF 16-day image composites, Remote Sensing of Environment, Volume 115, Issue 8, 15 August 2011, Pages 2035-2046
Geremia C, White PJ, Wallen RL, Watson FGR, Treanor JJ, et al. (2011) Predicting Bison Migration out of Yellowstone National Park Using Bayesian
Models. PLoS ONE 6(2): e16848. doi:10.1371/journal.pone.0016848
Lu, J. and L. Zhang. 2011 Modeling and prediction of tree height-diameter relationships using spatial autoregressive models. Forest Science 57(3) 252-264.
Lu, J. and L. Zhang. 2010. Evaluation of parameter estimation methods for fitting spatial regression models. Forest Science 56(5): 505-514.
Hatala, JA, MC Dietze, RL Crabtree, KK Kendall, D Six, PR Moorcroft. 2010, in press. An Ecosystem-scale Model for the spread of a Host-Specific Pathogen in the Greater Yellostone Ecosystem. Ecological Applications.
Shengli Huang, Zachary Connaughton, Christopher S. Potter, Vanessa Genovese, Robert L. Crabtree, Pinde Fu, 2009, Modeling near-surface air temperature from solar radiation and lapse rate: new development on short-term monthly and daily approach, Physical Geography, in press.
Shengli Huang, Christopher Potter, Robert L. Crabtree, Stacey Hager, and Peggy Gross, 2009. Fusing optical and radar data to estimate sagebrush, herbaceous, and bare ground cover in Yellowstone, Remote Sensing of Environment, available online: http://dx.doi.org/10.1016/j.rse.2009.09.013.
Shengli Huang, Robert Crabtree, Chris Potter, and Peggy Gross, 2009. Estimating the quantity and quality of coarse woody debris in Yellowstone's post-fire forest ecosystem from fusion of SAR and optical data, Remote Sensing of Environment, 113: 1926-1938.
Alan Swanson, Shengli Huang, and Robert Crabtree, 2009. Using a LiDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous Forests, Sensors, 9(3), 1559-1573; doi:doi:10.3390/s90301559 (available at http://www.mdpi.com/1424-8220/9/3/1559)
Robert Crabtree, Christopher Potter, Randall Mullen, Jennifer Sheldon, Shengli Huang, Joshua Harmsen, Ann Rodman, and Cathie Jean, 2009. A modeling and spatio-temporal analysis framework for monitoring environmental change using NPP as an ecosystem indicator, Remote Sensing of Environment, 113(7): 1486-1496.
Shengli Huang, Robert Crabtree, Alan Swanson, Kerry Halligan, and Josh Harmsen, 2009. Error analysis and correction for extracting the forest height from airborne C-band interferometric SAR and national elevation datasets. International Journal of Remote Sensing, in press.
Shengli Huang, Stacey Hager, Kerry Halligan, Ian Fairweather, Alan Swanson, Robert Crabtree, 2009. A comparison of individual tree and forest plot height derived from LiDAR and InSAR. ASPRS Photogrammetric Engineering & Remote Sensing, 75(2), 159-167.
Shengli Huang, Florian Siegert, Johann G. Goldammer and Anatoly I. Sukhinin, 2009. Satellite-derived 2003 wildfires in southern Siberia and their potential influence on carbon sequestration, International Journal of Remote Sensing, 30(6), 1479 – 1492.
Shengli Huang, Paul Rich, Robert Crabtree, Chris Potter and Pinde Fu, 2008. Modelling near-surface air temperature from solar radiation and lapse rate: application over complex terrain in Yellowstone National Park, USA. Physical Geography, 29(2): 158-178.
Halligan, KQ, Clark ML, Roberts D, Crabtree RL. 2007 (in review). A Two-scale Local Minima Filter for Tree Height Estimation from 1st Return Small Footprint LiDAR. Remote Sensing of the Environment.
Crabtree, R. L., Moorcroft, P. R., Saatchi, S. S., Huang, S., Potter, C. S., Sheldon, J. W., and K. Q. Halligan. 2006. Forecasting in the Yellowstone Ecosystem: development of remotely-sensed estimates of vegetation 3-D structure, and disturbance dynamics for initializing, constraining and testing terrestrial biosphere models [Poster]. The Joint Workshop on NASA Biodiversity, Terrestrial Ecology, and Applied Sciences Research, August 21-25, 2006, Washington, D. C., USA.
Fairweather, I. S., and S. A. Hager, 2006. Remote sensing as a tool for observing rock glaciers in the Greater Yellowstone Ecosystem. Pages 59-62 in A. Wondrak Biel, ed., Greater Yellowstone Public Lands: A Century of Discovery, Hard Lessons, and Bright Prospects:Proceedings of the 8th Biennial Scientific Conference on the Greater Yellowstone Ecosystem, October 17-19, 2005, Mammoth Hot Springs Hotel, Yellowstone National Park. Yellowstone Center for Resources, Yellowstone National Park, Wyoming, USA.
Legleiter, C. J., and P. C. Kyriakidis. In press. Forward and inverse transformations between Cartesian and channel-fitted coordinate systems for meandering rivers. Mathematical Geology.
Lynch, H. J., Renkin, R. A., Crabtree, R. L., and P. R. Moorcroft. 2006. Insect-fire interactions in Yellowstone National Park: the influence of historical mountain pine beetle (Dendroctonus ponderosae) activity on the spatial pattern of the 1988 Yellowstone fires. Pages 109-118 in A. Wondrak Biel, ed., Greater Yellowstone Public Lands: A Century of Discovery, Hard Lessons, and Bright Prospects:Proceedings of the 8th Biennial Scientific Conference on the Greater Yellowstone Ecosystem, October 17-19, 2005, Mammoth Hot Springs Hotel, Yellowstone National Park. Yellowstone Center for Resources, Yellowstone National Park, Wyoming, USA.
Mirik, M., Norland, J. E., Biondini, M. E., Crabtree, R. L., and G. J. Michak. In press. Capacity of one-meter hyperspectral imagery for biomass prediction in a big sagebrush (Artemisia tridantata) dominated area in Yellowstone National Park. Turkish Journal of Agriculture and Forestry.
Moorcroft, P. R., and M. A. Lewis. 2006. Mechanistic home range analysis. Monographs in population biology, 43. Princeton University Press, Princeton, New Jersey, USA, 172 pp.
Noonburg, E. G., Newman, L. A., Lewis, M. A., Crabtree, R. L., and A. B. Potapov. 2005. Accepted. Sequential decision-making in a variable environment: modeling elk movement in Yellowstone National Park as a dynamic game. Theoretical Population Biology.
Roberts, D. A., Asner, G. P., Dennison, P. E., Halligan, K. Q., and S. L. Ustin. 2006. Ecological applications of imaging spectrometry: examples from fire danger, plant functional types and disturbance. IEEE International Geoscience & Remote Sensing Symposium (IGARSS), July 30-August 4, 2006, Denver, Colorado, USA.
Roberts, D. A., Clark, M. L., Dennison, P. E., Halligan, K. Q., Natour, B., and G. G. Parker. 2006. LiDAR height measures in tropical and coniferous forests [Poster]. The Joint Workshop on NASA Biodiversity, Terrestrial Ecology, and Applied Sciences Research, August 21-25, 2006, Washington, D. C., USA.
Saatchi, S., Despain, D. G., Halligan, K. Q., and R. L. Crabtree. In press. Estimation of forest fuel load from radar remote sensing. IEEE Transactions in Geosciences and Remote Sensing.
Huang, S., R. L. Crabtree, A. Swanson, K. Q. Halligan, L. Jones, and J. Harmsen, 2006a. Canopy height estimation from TOPSAR AIRSAR and National Elevation Datasets. International Journal of Remote Sensing, under review.
Huang, S., F. Siegert, J. G. Goldammer and A. I. Sukhinin, 2006. Multi-sensor burned area assessment and potential carbon release by large-scale wildfires in Southern Siberia in 2003. Biogeochemistry (under revision).
Huang, S., F. Siegert, 2006. Backscatter change on fire scars in Siberian boreal forests in ENVISAT ASAR wide swath images. IEEE Geoscience and Remote Sensing Letters, 3(1):154-158.
Huang, S., F. Siegert, 2006. Land cover classification optimized to detect areas at risk of desertification in North China based on SPOT VEGETATION imagery, Journal of Arid Environment, 67(2), 308-327.
Goovaerts, P., Jacquez, G. M., and W. A. Marcus. 2005. Geostatistical and local cluster analysis of high resolution hyperspectral imagery for detection of anomalies. Remote Sensing of Environment 95(3):351-367.
Legleiter, C. J., and D. A. Roberts. 2005. Effects of channel morphology and sensor spatial resolution on image-derived depth estimates. Remote Sensing of Environment 95:231-247.
Legleiter, C. J., and M. F. Goodchild. 2005. Alternative representations of in-stream habitat: classification using remote sensing, hydraulic modeling, and fuzzy logic. International Journal of Geographical Information Science 19(1):29-50.
Mirik, M., Norland, J. E., Crabtree, R. L., and M. E. Biondini. 2005. Hyperspectral one-meter resolution remote sensing in Yellowstone National Park, Wyoming: II. Biomass. Rangeland Ecology & Management 58:459-465.
Noonburg, E. G., Newman, L. A., Lewis, M. A., Crabtree, R. L., and Potapov, A. B. 2005 . Sequential Decision-Making in a Variable Environment: Modeling Elk Movement in Yellowstone National Park as a Dynamic Game.
Peterson, S. H., Goldstein, N. C., Clark, M. L., et al. 2005 Sensitivity analysis of the 2003 Simi wildfire event. 8th International Conference on GeoComputation, August 1-3, 2005, Ann Arbor, Michigan, USA.
Rex, B., Fairweather, I. S., and K. Q. Halligan. 2005. Flight rehearsal scene construction from LiDAR and multispectral data using ARC spatial analyst and 3D analyst. 2005 ESRI International User Conference, July 25-29, 2005, San Diego, California, USA.
Swanson, B. J., Fuhrmann, R. T., and R. L. Crabtree. 2005. Elevational isolation of red fox populations in the Greater Yellowstone Ecosystem. Conservation Genetics 6:123-131.
Dennison, P. E., Halligan, K. Q., and D. A. Roberts. 2004. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper. Remote Sensing of Environment 93:359-367.
Siegert, F., S. Huang. 2004. Large-scale forest fires in Siberia analysed by MODIS, MERIS and ASTER multiresolution satellite imagery. In Proceedings of Envisat 2004 Symposium, Salzburg, Austria, 6-10 September, 2004.
Legleiter, C. J., Roberts, D. A., Marcus, W. A., and M. A. Fonstad. 2004. Passive optical remote sensing of river channel morphology and in-stream habitat: physical basis and feasibility. Remote Sensing of Environment 93:493–510.
Huang, S., F. Siegert. 2004. Envisat ASAR wide swath backscatter dynamics of the Siberia boreal forest fire scar. In Proceedings of Envisat 2004 Symposium, Salzburg, Austria, 6-10 September, 2004.
Huang, S., F. Siegert. 2004. ENVISAT multisensor data for fire monitoring and impact assessment. International Journal of Remote Sensing, 25(20), 4411-4416.
Leigleiter, C. J. 2003. Spectrally driven classification of high spatial resolution, hyperspectral imagery: a tool for mapping in-stream habitat. Environmental Management 32:399-411.
Marcus, W. A., Legleiter, C. J., Aspinall, R. J., Boardman, J. W., and R. L. Crabtree. 2003. High spatial resolution hyperspectral mapping of in-stream habitats, depths, and woody debris in mountain streams. Geomorphology 55:363–380.
Huang, S., F. Siegert, B. Fruth and G. Hohmann. 2003. Assessment of land cover and land use in the Salonga National Park based on satellite imagery. Poster. International Symposium "Sustainable use and conservation of biological diversity", 1 - 4 December 2003, Berlin.
Aspinall, R. J. 2002. A geographic information science perspective on hyperspectral remote sensing. Journal of Geographical Systems 4:127-140.
Aspinall, R. J. 2002. Use of logistic regression for validation of maps of the spatial distribution of vegetation species derived from high spatial resolution hyperspectral remotely sensed data. Ecological Modelling 157:301-312.
Aspinall, R.J., Marcus, W. A., and J. W. Boardman. 2002. Considerations in collecting, processing, and analyzing high spatial resolution, hyperspectral data for environmental investigations. Journal of Geograhical Systems 4:15-29.
Goovaerts, P. 2002. Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data. Journal of Geographical Systems 4:99-111.
Jacquez, G. M., Aspinall, R. J., Marcus, W.A., and D. Greiling. 2002. Exposure assessment using high spatial resolution hyperspectral (HSRH) imagery. Journal of Geographical Systems 4:1-14.
Wright, A., Marcus, W. A. and R. J. Aspinall. 2000. Evaluation of multispectral, fine scale digital imagery as a tool for mapping stream morphology. Geomorphology 33:107–120.
Robbins J. 1999. High-tech camera sees what eye cannot. New York Times, September 14, 1999, F5.
