Publications & Reports
Learn more about NW CASC-funded research in these publications.
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Mapping of land cover with open-source software and ultra-high resolution imagery acquired with unmanned aerial vehicles
Horning, N., E. Fleishman, P.J. Ersts, F.A. Fogarty, and M.W. Zillig. 2020. Mapping of land cover with open-source software and ultra-high-resolution imagery acquired with unmanned aerial vehicles. Remote Sensing in Ecology and Conservation.
Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the Northern Great Basin using the Ecosystem Demography (EDv2.2) model
Pandit, K., H. Dashti, N. F. Glenn, A. N. Flores, K. C. Maguire, D. J. Shinneman, G. N. Flerchinger, and A. W. Fellows. Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the Northern Great Basin using the Ecosystem Demography (EDv2.2) model. 2019. Geoscientific Model Development 12:4585-4601.
Empirical methods for remote sensing of nitrogen in drylands may lead to unreliable interpretation of ecosystem function
Dashti, H., N.F. Glenn, S. Ustin, J.J. Mitchell, Y. Qi, N.T. Ilangakoon, A.N. Flores, J.L. Silvan-Cardenas, K. Zhao, L.P. Spaete, and M.A. de Graaff. 2019. Empirical methods for remote sensing of nitrogen in drylands may lead to unreliable interpretation of ecosystem function. IEEE Transactions on Geoscience and Remote Sensing 57:3993-4004.
Regional scale dryland vegetation classification with an integrated lidar-hyperspectral approach
Dashti, H., A. Poley, N. F. Glenn, N. Ilangakoon, L. Spaete, D. Roberts, J. Enterkine, A. N. Flores, S. L. Ustin, and J. J. Mitchell. 2019. Regional scale dryland vegetation classification with an integrated lidar-hyperspectral approach. Remote Sensing 11:2141.
Assessing the effectiveness of riparian restoration projects using Landsat and precipitation data from the cloud-computing application ClimateEngine.org
Hausner, M. B., J. L. Huntington, C. Nash, C. Morton, D. J. McEvoy, D. S. Pilliod, K. C. Hegewisch, B. Daudert, J. T. Abatzoglou, and G. Grant. 2018. Assessing the effectiveness of riparian restoration projects using Landsat and precipitation data from the cloud-computing application ClimateEngine.org. Ecological Engineering 120:432–440.
Springs as hydrologic refugia in a changing climate? A remote-sensing approach
Cartwright, J., and H. M. Johnson. 2018. Springs as hydrologic refugia in a changing climate? A remote-sensing approach. Ecosphere 9:e02155.
Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure
McCarley, T. R., C. A. Kolden, N. M. Vaillant, A. T. Hudak, A. M. S. Smith, B. M. Wing, B. S. Kellogg, and J. Kreitler. 2017. Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure. Remote Sensing of Environment 191:419–432.
Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive
Huntington, J., K. McGwire, C. Morton, K. Snyder, S. Peterson, T. Erickson, R. Niswonger, R. Carroll, G. Smith, and R. Allen. 2016. Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive. Remote Sensing of Environment 185:186–197.
Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the northwestern United States
Meddens, A. J. H., C. A. Kolden, and J. A. Lutz. 2016. Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the northwestern United States. Remote Sensing of Environment 186:275–285.
Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images
Halabisky, M., L. M. Moskal, A. Gillespie, and M. Hannam. 2016. Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images (1984–2011). Remote Sensing of Environment 177:171–183.