Publications
Moore, C., Hoffman, G., Glenn, N., 2007. Quantifying Basalt Rock Outcrops in NRCS Soil Map Units Using Landsat-5 Data. Soil Survey Horizons, 48: 59–62 (2007).
Download (PDF|8.22 MB)
Mundt, J., Streutker, D., Glenn, N., 2007. Partial unmixing of hyperspectral imagery: Theory and methods. Proceedings of the American Society of Photogrammetry and Remote Sensing.
Download (PDF|829 KB)
Glenn, N.F., Streutker, D., Chadwick, J., Thackray, G., Dorsch, S., 2006. Analysis of LiDAR-derived topographic information for characterizing and differentiating landslide morphology and activity. Geomorphology, 73, 131-148.
Download (PDF|1.46 MB)
Khan, S., Glenn, N.F., 2006. New strike-slip faults and litho-units mapped in Chitral (N. Pakistan) using field and ASTER data yield regionally significant results, International Journal of Remote Sensing, 27 (20): 4495–4512.
Download (PDF|1.78 MB)
Mundt, J., Glenn, N., Weber, K., Pettingill, J. 2006. Determining target detection limits and accuracy delineation using an incremental technique. Remote Sensing of Environment, 105, 34–40.
Download (PDF|408.19 KB)
Mundt, J., Streutker, D., Glenn, N., 2006. Mapping sagebrush distribution via fusion of hyperspectral and LiDAR classifications. Photogrammetric Engineering & Remote Sensing, 72, 47-54.
Download (PDF|268.26 KB)
Streutker, D. and Glenn, N., 2006. LiDAR measurement of sagebrush steppe vegetation heights. Remote Sensing of Environment, 102, 135-145.
Download (PDF|904.59 KB)
Chadwick, J., Glenn, N., Thackray, G., Dorsch, S., 2005. Landslide Surveillance: New Tools for an Old Problem. EOS, 86/11, 109-114.
Download (PDF|278.78 KB)
Chadwick, J., Dorsch, S., Glenn, N., Thackray, G., Shilling, K., 2005. Application of multi-temporal high-resolution imagery and GPS
in a study of the motion of a canyon rim landslide. ISPRS Journal of Photogrammetry & Remote Sensing, 59, 212-221.
Download (PDF|544.85 KB)
Glenn, N., Mundt, J., Weber, K., Prather, T., Lass, L., Pettingill, J., 2005. Hyperspectral Data Processing for Repeat Detection of Small Infestations of Leafy Spurge. Remote Sensing of Environment, 95, 399–412.
Download (PDF|596.61 KB)
Lass, L., Prather, T., Glenn, N., Weber, K., Mundt, J., Pettingill, J., 2005 A Review of Remote Sensing of Invasive Weeds and Example of the Early Detection of Spotted Knapweed and Babysbreath with a Hyperspectral Sensor. Weed Science, 53, 242-251.
Download (PDF|161.00 KB)
Mundt, J., Glenn, N., Weber, K., Prather, T., Lass, L., Pettingill, J., 2005. Discrimination of Hoary cress and Determination of its detection limits via Hyperspectral image processing and accuracy assessment techniques. Remote Sensing of Environment, 96, 509-517.
Download (PDF|791.16 KB)
Glenn, N.F., J.R. Carr, 2004. Establishing a relationship between soil moisture and RADARSAT-1 SAR data obtained over the Great Basin, Nevada, U.S.A. Canadian Journal of Remote Sensing 30/2, pp.1-6.
Download (PDF|303.56 KB)
Glenn, N.F., Carr, J.R., 2004. The effects of soil moisture on synthetic aperture radar deliniation of geomorphic surfaces in the Great Basin, Nevada, USA. Journal of Arid Environments 56, 643-657.
Download (PDF|2.57 MB)
Glenn, N.F., Carr, J.R. 2003. The use of geostatistics in relating soil moisture to RADARSAT-1 SAR data obtained over the Great Basin, Nevada, USA. Computers & Geosciences 29, 577-586.
Download (PDF|6.55 MB)
Presentations
Sankey, J., Germino, M., Glenn, N., 2007, Initial Results From Monitoring Wind Erosion in a Burned Semiarid Rangeland Environment, The International Annual Meetings of the American Society of Agronomy (ASA), Crop Science Society of America (CSSA), and Soil Science Society of
America (SSSA), Nov 4-8, New Orleans, LA.
Download (PDF|1.10 MB)
Sankey, J., Glenn, N, Germino, M., 2007, Post-fire wind erosion in semiarid shrub steppe: observations from field and remotely sensed data, Geological Society of America Abstracts with Programs, Vol. 39, No. 6, p. 426.
Download (PDF|4.58 MB)
Mitchell, J., Glenn, N., October 2007. Matched Filter Abundance Estimates in Mixture Tuned Matched Filtered Classifications of Leafy Spurge. Environmental Sensing Symposium, Boise, ID.
Download (PDF|2.39 MB)
Sankey, J., Germino, M., Glenn, N., October 2007. Initial Results from Monitoring Post-wildfire Wind Erosion with Field-based Sensors. Environmental Sensing Symposium, Boise, ID.
Download (PDF|2.00 MB)
Streutker, D., Glenn, N., Norton, J., October 2007. Change Detection with Lidar Data. Environmental Sensing Symposium, Boise, ID.
Download (PDF|3.83 MB)
Streutker, D., Glenn, N., May 2007. Change Detection Using Laser Altimetry. ASPRS Annual Meeting, Tampa, FL.
Download (PDF|2.64 MB)
Streutker, D., Mundt, J., Glenn, N., May 2007. Partial Unmixing of Hyperspectral Imagery: Theory and Methods. ASPRS Annual Meeting, Tampa, FL.
Download (PDF|3.87 MB)
Glenn, N., Mundt, J., Streutker, D., May 2006. In-stream Assessment of Channel Geometry, Morphology, and Bed Form Using Imaging Spectrometer Data. ASPRS Annual Meeting, Reno, NV.
Download (PDF|6.14 MB)
Glenn, N., Streutker, D., Thackray, G., Chadwick, J., May 2006. Analysis of LiDAR Data for Characterizing and Differentiating Landslide Morphology and Motion. ASPRS Annual Meeting, Reno, NV.
Download (PDF|6.52 MB)
Streutker, D., Glenn, N., May 2006. Surface Multifractality in Laser Altimetry Data: A Modified Prism Approach. ASPRS Annual Meeting, Reno, NV.
Download (PDF|6.07 MB)
Mundt, J., April 2005. Assessing the Accuracy of Remotely Sensed Data. Intermountain GIS Users' Conference, Pocatello, ID.
Download (PDF|2.08 MB)
Mundt, J., Streutker, D., Glenn, N., March 2005. Fusion of Hyperspectral and LiDAR Models Characterizing Semi-arid Vegetation (Sagebrush). ASPRS Annual Meeting, Baltimore, MD.
Download (PDF|1.36 MB)
Mundt, J., Glenn, N., March 2005. Repeat Hyperspectral Data Analysis for Invasive Plant Detection. ASPRS Annual Meeting, Baltimore, MD.
Download (PDF|1.73 MB)
Streutker, D., Glenn, N., March 2005. Using LiDAR to Determine Vegetation Heights in a Rangleand Environment. ASPRS Annual Meeting, Baltimore, MD.
Download (PDF|3.92 MB)
Posters
Glenn, N., Sankey, J., Germino, M., 2007, Post-fire Wind Erosion in a Semiarid Shrub Steppe, Eos Trans. AGU, 88 (52), Fall Meet. Suppl., Abstract NG41C-0670.
Download (PDF|3.74 MB)
Moore, C., Glenn, N., 2007, Quantifying Basalt Rock Outcrops in NRCS Soil Map Units
Using Landsat-5 Data, Environmental Sensing Symposium, October 2007, Boise, ID.
Download (PDF|165 KB)
Mitchell, J., Glenn, N., October 2007. Implementation of Remote Sensing Techniques for Invasive Species Management. Environmental Sensing Symposium, Boise, ID.
Download (PDF|25.5 MB)
Tibbitts, J., Theau, J., Glenn, N., Weber, K., October 2007. The use of Remote Sensing and GIS to Model Rangeland Health Characteristics. Environmental Sensing Symposium, Boise, ID.
Download (PDF|134 MB)
Mitchell, J. and Glenn, N., 2007, Remote sensing of leafy spurge (Euphorbia esula L.), spectral and spatial detection limits, ISRSE Conference, June 2007, San Juan, Costa Rica.
Download (PDF|358 KB)
Streutker, D., Glenn, N., Thackray, G., 2006, Use of a Slope-Based Surface Matching Technique to Detect Landslide Movement in LiDAR Data. AGU Annual Conference, San Francisco, CA.
Download (PDF|5.13 MB)
Chadwick, J., Mundt, J., Glenn, N., McCurry, M., Farrand, W., 2005, Spectral differentiation of altered basaltic lava flows using AVIRIS at Craters of the Moon National Monument, Idaho, JPL AVIRIS Workshop Proceedings, Pasadena, CA, May 2005.
Download (PDF|7.98 MB)
Glenn, N., Pettingill, J. 2005. Remote Sensing of Invasive Plants in Southern Idaho. NASA BAA Final Meeting, Buffalo, NY.
Download (PDF|1.23 MB)
Streutker, D., Mundt, J., Glenn, N., 2005. Remote Characterization of Gravel Bars in Big Creek, Idaho. AGU Annual Conference, San Francisco, CA.
Download (PDF|4.82 MB)
Streutker, D., Glenn, N., 2004. Surface Fractal Characterization of Topography and Landcover Using Airborne Laser Swath Mapping. AGU Annual Conference, San Francisco, CA.
Download (PDF|2.31 MB)
Streutker, D., Glenn, N., 2003. Detection and Characterization of Rangeland Vegetation Using Airborne Laser Swath Mapping. AGU Annual Conference, San Francisco, CA.
Download (PDF|2.75 MB)
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