References
- Amaral, T., Wake, C. P., Dibb, J. E., Burakowski, E. A., & Stampone, M. (2017). A simple model of snow albedo decay using observations from the Community Collaborative Rain, Hail, and Snow-Albedo (CoCoRaHS-Albedo) Network. Journal of Glaciology, Vol. 63(No. 241): pp. 877–887. https://doi.org/10.1017/jog.2017.54
- Anderson, H. W. (1956). Forest cover effects on snowpack accumulation and melt, Central Sierra Snow Laboratory. Eos, Transactions American Geophysical Union, Vol. 37(No. 3): pp. 307–312. https://doi.org/10.1029/TR037i003p00307
- Armleder, H. M., Waterhouse, M. J., Keisker, D. G., & Dawson, R. J. (1994). Winter habitat use by mule deer in the central interior of British Columbia. Canadian Journal of Zoology, Vol. 72(No. 10): pp. 1721–1725. https://doi.org/10.1139/z94-232
- Baumann, M., Ozdogan, M., Richardson, A. D., & Radeloff, V. C. (2017). Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves. International Journal of Applied Earth Observation and Geoinformation, Vol. 54, pp. 72–83. https://doi.org/10.1016/j.jag.2016.09.005
- Beniston, M., & Stoffel, M. (2016). Rain-on-snow events, floods and climate change in the Alps: Events may increase with warming up to 4 °C and decrease thereafter. Science of the Total Environment, Vol. 571, pp. 228–236. https://doi.org/10.1016/j.scitotenv.2016.07.146
- Bergman, E. J., Bishop, C. J., Freddy, D. J., White, G. C., & Doherty, P. F. (2014). Habitat management influences overwinter survival of mule deer fawns in Colorado. Journal of Wildlife Management, Vol. 78(No. 3): pp. 448–455. https://doi.org/10.1002/jwmg.683
- Berman, E. E., Bolton, D. K., Coops, N. C., Mityok, Z. K., Stenhouse, G. B., & Moore, R. D. (2018). Daily estimates of Landsat fractional snow cover driven by MODIS and dynamic time-warping. Remote Sensing of Environment, 216, 635–646.
- Bokhorst, S., Pedersen, S. H., Brucker, L., Anisimov, O., Bjerke, J. W., Brown, R. D., … Callaghan, T. V. (2016, September 17). Changing Arctic snow cover: A review of recent developments and assessment of future needs for observations, modelling, and impacts. Ambio. Springer Netherlands. https://doi.org/10.1007/s13280-016-0770-0
- British Columbia Ministry of Forests Lands and Natural Resource Operations. (2017). Automated Snow Weather Station Data. Retrieved May 5, 2018, from https://www2.gov.bc.ca/gov/content/environment/air-land-water/water/water-science-data/water-data-tools/snow-survey-data/automated-snow-weather-station-data
- Burns, P., & Nolin, A. (2014). Using atmospherically-corrected Landsat imagery to measure glacier area change in the Cordillera Blanca, Peru from 1987 to 2010. Remote Sensing of Environment, Vol. 140, pp. 165–178. https://doi.org/10.1016/j.rse.2013.08.026
- Chance, C. M., Hermosilla, T., Coops, N. C., Wulder, M. A., & White, J. C. (2016). Effect of topographic correction on forest change detection using spectral trend analysis of Landsat pixel-based composites. International Journal of Applied Earth Observation and Geoinformation, Vol. 44, pp. 186–194. https://doi.org/10.1016/j.jag.2015.09.003
- Cohen, S., Koshida, G., & Mortsch, L. (2015). Climate and water availability indicators in Canada: Challenges and a way forward. Part III – Future scenarios. Canadian Water Resources Journal, Vol. 40(No. 2): pp. 160–172. https://doi.org/10.1080/07011784.2015.1006021
- Coops, N. C., Hilker, T., Bater, C. W., Wulder, M. A., Nielsen, S. E., McDermid, G., & Stenhouse, G. (2012). Linking ground-based to satellite-derived phenological metrics in support of habitat assessment. Remote Sensing Letters, Vol. 3(No. 3): pp. 191–200. https://doi.org/10.1080/01431161.2010.550330
- Copeland, J. P., McKelvey, K. S., Aubry, K. B., Landa, A., Persson, J., Inman, R. M., … May, R. (2010). The bioclimatic envelope of the wolverine (Gulo gulo) : do climatic constraints limit its geographic distribution? Canadian Journal of Zoology, Vol. 88(No. 3): pp. 233–246. https://doi.org/10.1139/Z09-136
- Cortés, G., Girotto, M., & Margulis, S. A. (2014). Analysis of sub-pixel snow and ice extent over the extratropical Andes using spectral unmixing of historical Landsat imagery. Remote Sensing of Environment, Vol. 141, pp. 64–78. https://doi.org/10.1016/j.rse.2013.10.023
- Crawford, C. J. (2015). MODIS Terra Collection 6 fractional snow cover validation in mountainous terrain during spring snowmelt using Landsat TM and ETM+. Hydrological Processes, Vol. 29(No. 1): pp. 128–138. https://doi.org/10.1002/hyp.10134
- Czyzowska-Wisniewski, E. H., van Leeuwen, W. J. D., Hirschboeck, K. K., Marsh, S. E., & Wisniewski, W. T. (2015). Fractional snow cover estimation in complex alpine-forested environments using an artificial neural network. Remote Sensing of Environment, Vol. 156, pp. 403–417. https://doi.org/10.1016/j.rse.2014.09.026
- De Lannoy, G. J. M., Reichle, R. H., Houser, P. R., Arsenault, K. R., Verhoest, N. E. C., & Pauwels, V. R. N. (2010). Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface Model. Journal of Hydrometeorology, Vol. 11(No. 2): pp. 352–369. https://doi.org/10.1175/2009JHM1192.1
- Doerr, J. G., Degayner, E. J., & Ith, G. (2005). WINTER HABITAT SELECTION BY SITKA BLACK-TAILED DEER. Journal of Wildlife Management, Vol. 69(No. 1): pp. 322–331. https://doi.org/10.2193/0022-541X(2005)069<0322:WHSBSB>2.0.CO;2
- Dozier, J. (1989). Spectral signature of alpine snow cover from the landsat thematic mapper. Remote Sensing of Environment, Vol. 28(No. C): pp. 9–22. https://doi.org/10.1016/0034-4257(89)90101-6
- Dozier, J., Painter, T. H., Rittger, K., & Frew, J. E. (2008). Time-space continuity of daily maps of fractional snow cover and albedo from MODIS. Advances in Water Resources, Vol. 31(No. 11): pp. 1515–1526. https://doi.org/10.1016/j.advwatres.2008.08.011
- Environmental Reporting BC. (2012). Grizzly Bear Population Status in B.C. State of Environment Reporting, Ministry of Environment, British Columbia, Canada.
- Farinotti, D., Magnusson, J., Huss, M., & Bauder, A. (2010). Snow accumulation distribution inferred from time-lapse photography and simple modelling. Hydrological Processes, Vol. 24(No. 15): pp. 2087–2097. https://doi.org/10.1002/hyp.7629
- Fisher, J. I., Mustard, J. F., & Vadeboncoeur, M. A. (2006). Green leaf phenology at Landsat resolution: Scaling from the field to the satellite. Remote Sensing of Environment, Vol. 100(No. 2): pp. 265–279. https://doi.org/10.1016/j.rse.2005.10.022
- Flint, L. E., & Flint, A. L. (2012). Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis. Ecological Processes, Vol. 1(No. 1): Vol. 1–pp. 15. https://doi.org/10.1186/2192-1709-1-2
- Fortin, V., Jean, M., Brown, R., & Payette, S. (2015). Predicting Snow Depth in a Forest-Tundra Landscape using a Conceptual Model Allowing for Snow Redistribution and Constrained by Observations from a Digital Camera. Atmosphere - Ocean, Vol. 53(No. 2): pp. 200–211. https://doi.org/10.1080/07055900.2015.1022708
- Gao, F., Masek, J., Schwaller, M., & Hall, F. (2006). On the blending of the landsat and MODIS surface reflectance: Predicting daily landsat surface reflectance. IEEE Transactions on Geoscience and Remote Sensing, Vol. 44(No. 8): pp. 2207–2218. https://doi.org/10.1109/TGRS.2006.872081
- Gao, X., Xu, Y., Zhao, Z., Pal, J. S., & Giorgi, F. (2006). On the role of resolution and topography in the simulation of East Asia precipitation. Theoretical and Applied Climatology, Vol. 86(No. 1–4): pp. 173–185. https://doi.org/10.1007/s00704-005-0214-4
- Garvelmann, J., Pohl, S., & Weiler, M. (2013). From observation to the quantification of snow processes with a time-lapse camera network. Hydrology and Earth System Sciences, Vol. 17(No. 4): pp. 1415–1429. https://doi.org/10.5194/hess-17-1415-2013
- Gilbert, S. L., Hundertmark, K. J., Person, D. K., Lindberg, M. S., & Boyce, M. S. (2017). Behavioral plasticity in a variable environment: Snow depth and habitat interactions drive deer movement in winter. Journal of Mammalogy, Vol. 98(No. 1): pp. 246–259. https://doi.org/10.1093/jmammal/gyw167
- Government of Canada. (n.d.). Historical Data - Climate - Environment and Climate Change Canada. Retrieved May 2, 2018, from http://climate.weather.gc.ca/historical_data/search_historic_data_e.html
- Graham, E. A., Hamilton, M. P., Mishler, B. D., Rundel, P. W., & Hansen, M. H. (2006). Use of a Networked Digital Camera to Estimate Net CO2 Uptake of a Desiccation‐Tolerant Moss. International Journal of Plant Sciences, Vol. 167(No. 4): pp. 751–758. https://doi.org/10.1086/503786
- Graham, E. A., Riordan, E. C., Yuen, E. M., Estrin, D., & Rundel, P. W. (2010). Public Internet-connected cameras used as a cross-continental ground-based plant phenology monitoring system. Global Change Biology, Vol. 16(No. 11): pp. 3014–3023. https://doi.org/10.1111/j.1365-2486.2010.02164.x
- Hall, D. K., Foster, J. L., Verbyla, D. L., Klein, A. G., & Benson, C. S. (1998). Assessment of snow-cover mapping accuracy in a variety of vegetation-cover densities in central Alaska. Remote Sensing of Environment, Vol. 66(No. 2): pp. 129–137. https://doi.org/10.1016/S0034-4257(98)00051-0
- Hall, D. K., & Martinec, J. (1986). Remote sensing of ice and snow. Retrieved from https://books.google.ca/books?hl=en&lr=&id=mt0sBAAAQBAJ&oi=fnd&pg=PA1&dq=Hall,+D.+K.,+%26+Martinec,+J.+(1985).+Snow+cover.+In+Remote+Sensing+of+Ice+and+Snow+&ots=qRCIUBBU2h&sig=pYATF6G2Y5fWQwtICZqtL8pqWuE
- Hall, D. K., & Riggs, G. A. (2007). Accuracy assessment of the MODIS snow products. In Hydrological Processes (Vol. 21, pp. 1534–1547). Wiley-Blackwell, USA. https://doi.org/10.1002/hyp.6715
- Hall, D. K., Riggs, G. A., & Salomonson, V. V. (1995). Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data. Remote Sensing of Environment, Vol. 54(No. 2): pp. 127–140. https://doi.org/10.1016/0034-4257(95)00137-P
- Hamer, D., & Herrero, S. (1987). Grizzly bear food and habitat in the front ranges of Banff National Park, Alberta. International Conference on Bear Research and Management, Vol. 7, pp. 199–213. https://doi.org/10.2307/3872626
- Härer, S., Bernhardt, M., & Schulz, K. (2016). PRACTISE - Photo Rectification and ClassificaTIon SoftwarE (V.2.1). Geoscientific Model Development, Vol. 9(No. 1): pp. 307–321. https://doi.org/10.5194/gmd-9-307-2016
- Härer, S., Bernhardt, M., Siebers, M., & Schulz, K. (2017). On the need of a time and location dependent estimation of the NDSI threshold value for reducing existing uncertainties in snow cover maps at different scales. The Cryosphere, (under review), pp. 1–27. https://doi.org/10.5194/tc-2017-177
- Hilker, T., Wulder, M. A., Coops, N. C., Linke, J., McDermid, G., Masek, J. G., … White, J. C. (2009). A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS. Remote Sensing of Environment, Vol. 113(No. 8): pp. 1613–1627. https://doi.org/10.1016/j.rse.2009.03.007
- Huang, X., Liang, T., Zhang, X., & Guo, Z. (2011). Validation of MODIS snow cover products using Landsat and ground measurements during the 2001–2005 snow seasons over northern Xinjiang, China. International Journal of Remote Sensing, Vol. 32(No. 1): pp. 133–152.
- Hwang, T., Song, C., Bolstad, P. V., & Band, L. E. (2011). Downscaling real-time vegetation dynamics by fusing multi-temporal MODIS and Landsat NDVI in topographically complex terrain. Remote Sensing of Environment, Vol. 115(No. 10): pp. 2499–2512. https://doi.org/10.1016/j.rse.2011.05.010
- Jönsson, P., & Eklundh, L. (2004). TIMESAT - A program for analyzing time-series of satellite sensor data. Computers and Geosciences, Vol. 30(No. 8): pp. 833–845. https://doi.org/10.1016/j.cageo.2004.05.006
- Jost, G., & Weber, F. (2012). Potential impacts of climate change on BC Hydro’S water resources. BC Hydro, pp. 1–28. Retrieved from https://www.bchydro.com/content/dam/hydro/medialib/internet/documents/about/climate_change_report_2012.pdf
- Kelly, J. V, & Reynolds, D. (2015). Mackenzie-Wolverine Deer Winter Range: calibrating an index. Retrieved from http://www.pembertonwildlifeassociation.com/media/21072/mackenziewolverinedwr_calibratinganindex.pdf
- Keshri, A. K., Shukla, A., & Gupta, R. P. (2009). ASTER ratio indices for supraglacial terrain mapping. International Journal of Remote Sensing, Vol. 30(No. 2): pp. 519–524. https://doi.org/10.1080/01431160802385459
- Kostadinov, T. S., & Lookingbill, T. R. (2015). Snow cover variability in a forest ecotone of the Oregon Cascades via MODIS Terra products. Remote Sensing of Environment, Vol. 164, pp. 155–169. https://doi.org/10.1016/j.rse.2015.04.002
- Lauer, D. T., Morain, S. A., & Salomonson, V. V. (1997). The Landsat Program: Its Origins, Evolution, and Impacts. Photogrammetric Engineering & Remote Sensing, Vol. 63(No. 7): pp. 831–838. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.472.5192&rep=rep1&type=pdf
- Lemke, P., J. Ren, R.B. Alley, I. Allison, J. Carrasco, G. Flato, Y. Fujii, G. Kaser, P. Mote, R.H. Thomas and T. Zhang, 2007: Observations: Changes in Snow, Ice and Frozen Ground. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
- Liston, G. E. (1999). Interrelationships among Snow Distribution, Snowmelt, and Snow Cover Depletion: Implications for Atmospheric, Hydrologic, and Ecologic Modeling. Journal of Applied Meteorology, Vol. 38(No. 10): pp. 1474–1487. https://doi.org/10.1175/1520-0450(1999)038 < 1474:IASDSA >2.0.CO;2
- Liu, J., Woodcock, C. E., Melloh, R. A., Davis, R. E., McKenzie, C., & Painter, T. H. (2008). Modeling the View Angle Dependence of Gap Fractions in Forest Canopies: Implications for Mapping Fractional Snow Cover Using Optical Remote Sensing. Journal of Hydrometeorology, Vol. 9(No. 5): pp. 1005–1019. https://doi.org/10.1175/2008JHM866.1
- Luccarini, S., Mauri, L., Apollonio, M., Lamberti, P., & Ciuti, S. (2006). Red Deer (‘Cervus elaphus’) Spatial Use in the Italian Alps: Home Range Patterns, Seasonal Migrations, and Effect of Snow and Winter Feeding. Ethology Ecology & Evolution. JULY, Vol. 2006, JULY(No. 2): pp. 1000–1019. https://doi.org/10.1400/53712
- Lundberg, A., Granlund, N., & Gustafsson, D. (2010). Towards automated “ground truth” snow measurements-a review of operational and new measurement methods for Sweden, Norway, and Finland. Hydrological Processes, Vol. 24(No. 14): pp. 1955–1970. https://doi.org/10.1002/hyp.7658
- Maher, A. I., Treitz, P. M., & Ferguson, M. A. (2012). Can Landsat data detect variations in snow cover within habitats of arctic ungulates? Wildlife Biology, Vol. 18(No. 1): pp. 75–87. https://doi.org/10.2981/11-055
- Manning, J. A., & Garton, E. O. (2012). Reconstructing historical snow depth surfaces to evaluate changes in critical demographic rates and habitat components of snow-dependent and snow-restricted species. Methods in Ecology and Evolution, Vol. 3(No. 1): pp. 71–80. https://doi.org/10.1111/j.2041-210X.2011.00144.x
- Markham, B. L., Storey, J. C., Williams, D. L., & Irons, J. R. (2004, December). Landsat sensor performance: History and current status. IEEE Transactions on Geoscience and Remote Sensing. 42(12): pp. 2691–2694. https://doi.org/10.1109/TGRS.2004.840720
- Marty, C., & Meister, R. (2012). Long-term snow and weather observations at Weissfluhjoch and its relation to other high-altitude observatories in the Alps. Theoretical and Applied Climatology, Vol. 110(No. 4): pp. 573–583. https://doi.org/10.1007/s00704-012-0584-3
- Molotch, N. P., & Margulis, S. A. (2008). Estimating the distribution of snow water equivalent using remotely sensed snow cover data and a spatially distributed snowmelt model: A multi-resolution, multi-sensor comparison. Advances in Water Resources, Vol. 31(No. 11): pp. 1503–1514. https://doi.org/10.1016/j.advwatres.2008.07.017
- Moore, T. T. (2011). Climate Change and Animal Migration. Environmental Law, 41, 393–405. https://doi.org/10.2307/43267496
- Nijland, W., Bolton, D. K., Coops, N. C., & Stenhouse, G. (2016). Imaging phenology; scaling from camera plots to landscapes. Remote Sensing of Environment, Vol. 177, pp. 13–20. https://doi.org/10.1016/j.rse.2016.02.018
- Nolin, A. W. (2011, September 8). Recent advances in remote sensing of seasonal snow. Journal of Glaciology. New York, USA: Cambridge University Press. https://doi.org/10.3189/002214311796406077
- Onstott, R. G. (1997). Results of satellite and in-situ remote sensing measurement and modeling studies of Arctic sea ice which support the monitoring of changes in the global climate. Geoscience and Remote Sensing, 1997. IGARSS ’97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International. IEEE. https://doi.org/10.1109/IGARSS.1997.606427
- Painter, T. H., Rittger, K., McKenzie, C., Slaughter, P., Davis, R. E., & Dozier, J. (2009). Retrieval of subpixel snow covered area, grain size, and albedo from MODIS. Remote Sensing of Environment, Vol. 113(No. 4): pp. 868–879. https://doi.org/10.1016/j.rse.2009.01.001
- Parajka, J., and Blöschl, G. (2008). Spatio-temporal combination of MODIS images - potential for snow cover mapping. Water Resour. Res., 44, W03406, doi: 10.1029/2007WR006204.
- Parajka, J., Haas, P., Kirnbauer, R., Jansa, J., & Blöschl, G. (2012). Potential of time-lapse photography of snow for hydrological purposes at the small catchment scale. Hydrological Processes, Vol. 26(No. 22): pp. 3327–3337. https://doi.org/10.1002/hyp.8389
- Parajka, J., Holko, L., Kostka, Z., & Blöschl, G. (2012). MODIS snow cover mapping accuracy in a small mountain catchment - Comparison between open and forest sites. Hydrology and Earth System Sciences, Vol. 16(No. 7): pp. 2365–2377. https://doi.org/10.5194/hess-16-2365-2012
- Parker, K. L., Robbins, C. T., & Hanley, T. A. (1984). Energy expenditures for locomotion by mule deer and elk. Journal of Wildlife Management, Vol. 48(No. 2): pp. 474–488. https://doi.org/10.2307/3801180
- Pigeon, K. E., Côté, S. D., & Stenhouse, G. B. (2016). Assessing den selection and den characteristics of grizzly bears. Journal of Wildlife Management, Vol. 80(No. 5): pp. 884–893. https://doi.org/10.1002/jwmg.1069
- Pigeon, K. E., Stenhouse, G., & Côté, S. D. (2016). Drivers of hibernation: linking food and weather to denning behaviour of grizzly bears. Behavioral Ecology and Sociobiology, Vol. 70(No. 10): pp. 1745–1754. https://doi.org/10.1007/s00265-016-2180-5
- Poole, K. G., & Wright, K. (2010). Mule deer migration and seasonal ranges within the St ’ at ’ imc Nation Territory, southwestern British Columbia, (October).
- Powers, M. W. (2011). Archived at the Flinders Academic Commons: This is the author’ s post-print version of this article. The published article is available at: © 2011 Bioinfo Publications Please note that any alterations made during the publishing process may not appear, Vol. 2(No. 1): pp. 37–63.
- Province of British Columbia. (2018). Ecology - Ecosystems Branch - Environment - Province of British Columbia. Retrieved May 3, 2018, from http://www.env.gov.bc.ca/ecology/ecoregions/dryeco.html
- Qin, D. H., Liu, S. Y., & Li, P. J. (2006). Snow cover distribution, variability, and response to climate change in western China. Journal of Climate, Vol. 19(No. 9): pp. 1820–1833. https://doi.org/10.1175/JCLI3694.1
- Racoviteanu, A. E., Paul, F., Raup, B., Khalsa, S. J. S., & Armstrong, R. (2009). Challenges and recommendations in mapping of glacier parameters from space: Results of the 2008 global land ice measurements from space (GLIMS) workshop, Boulder, Colorado, USA. In Annals of Glaciology (Vol. Vol. 50, pp. pp. 53–69). New York, USA: Cambridge University Press. https://doi.org/10.3189/172756410790595804
- Raleigh, M. S., Rittger, K., Moore, C. E., Henn, B., Lutz, J. A., & Lundquist, J. D. (2013). Ground-based testing of MODIS fractional snow cover in subalpine meadows and forests of the Sierra Nevada. Remote Sensing of Environment, Vol. 128, pp. 44–57. https://doi.org/10.1016/j.rse.2012.09.016
- Riggs, G. A., & Hall, D. K. (2015). MODIS Snow Products Collection 6 User Guide. Retrieved from https://nsidc.org/sites/nsidc.org/files/files/MODIS-snow-user-guide-C6.pdf
- Rittger, K., Painter, T. H., & Dozier, J. (2013). Assessment of methods for mapping snow cover from MODIS. Advances in Water Resources, Vol. 51, pp. 367–380. https://doi.org/10.1016/j.advwatres.2012.03.002
- Robinson, B. G., & Merrill, E. H. (2012). The influence of snow on the functional response of grazing ungulates. Oikos, Vol. 121(No. 1): pp. 28–34. https://doi.org/10.1111/j.1600-0706.2011.19408.x
- Román, M. (2001). The MODIS Snow and Sea Ice Global Mapping Project. NASA | Goddard Space Flight Center | Cryospheric Sciences | Greenbelt, MD 20771. Retrieved from https://modis-snow-ice.gsfc.nasa.gov/?c=atbd
- Ryan, W. A., Doesken, N. J., & Fassnacht, S. R. (2008). Evaluation of ultrasonic snow depth sensors for U.S. snow measurements. Journal of Atmospheric and Oceanic Technology, Vol. 25(No. 5): pp. 667–684. https://doi.org/10.1175/2007JTECHA947.1
- Salomonson, V. V., & Appel, I. (2004). Estimating fractional snow cover from MODIS using the normalized difference snow index. Remote Sensing of Environment, Vol. 89(No. 3): pp. 351–360. https://doi.org/10.1016/j.rse.2003.10.016
- Salomonson, V. V., & Appel, I. (2006). Development of the aqua MODIS NDSI fractional snow cover algorithm and validation results. IEEE Transactions on Geoscience and Remote Sensing, Vol. 44(No. 7): pp. 1747–1756. https://doi.org/10.1109/TGRS.2006.876029
- Schwartz, M. K., Copeland, J. P., Anderson, N. J., Squires, J. R., Inman, R. M., McKelvey, K. S., … Cushman, S. A. (2009). Wolverine gene flow across a narrow climatic niche. Ecology, Vol. 90(No. 11): pp. 3222–3232. https://doi.org/10.1890/08-1287.1
- Selkowitz, D., & Forster, R. (2015). An Automated Approach for Mapping Persistent Ice and Snow Cover over High Latitude Regions. Remote Sensing, Vol. 8(No. 1): pp. 16. https://doi.org/10.3390/rs8010016
- Shimamura, Y., Izumi, T., & Matsuyama, H. (2006). Evaluation of a useful method to identify snow-covered areas under vegetation - Comparisons among a newly proposed snow index, normalized difference snow index, and visible reflectance. International Journal of Remote Sensing, Vol. 27(No. 21): pp. 4867–4884. https://doi.org/10.1080/01431160600639693
- Shuai, Y., Masek, J. G., Gao, F., & Schaaf, C. B. (2011). An algorithm for the retrieval of 30-m snow-free albedo from Landsat surface reflectance and MODIS BRDF. Remote Sensing of Environment, Vol. 115(No. 9): pp. 2204–2216. https://doi.org/10.1016/j.rse.2011.04.019
- Silverio, W., & Jacquet, J.-M. (2009). Prototype land-cover mapping of the Huascara´n Biosphere Reserve (Peru) using a digital elevation model, and the NDSI and NDVI indices. Journal of Applied Remote Sensing, Vol. 3(No. 1): pp. 033516. https://doi.org/10.1117/1.3106599
- Singh, K. K., Datt, P., Sharma, V., Ganju, A., Mishra, V. D., Parashar, A., & Chauhan, R. (2011). Snow depth and snow layer interface estimation using Ground Penetrating Radar. Current Science, Vol. 100, pp. 1532–1539. https://doi.org/10.2307/24076673
- Siren, Alexej P. K., Somos-valenzuela, M., Callahan, C., Kilborn, J., Duclos, T., Tragert, C., Morelli, T. L. (2018). Looking beyond wildlife: using remote cameras to evaluate accuracy of gridded snow data. Remote Sensing in Ecology and Conservation, 1(1):1–3. doi: 10.1002/rse2.85
- Sproles, E. A., Roth, T. R., & Nolin, A. W. (2017). Future snow? A spatial-probabilistic assessment of the extraordinarily low snowpacks of 2014 and 2015 in the Oregon Cascades. Cryosphere, Vol. 11(No. 1): pp. 331–341. https://doi.org/10.5194/tc-11-331-2017
- Stroeve, J. C., Box, J. E., & Haran, T. (2006). Evaluation of the MODIS (MOD10A1) daily snow albedo product over the Greenland ice sheet. Remote Sensing of Environment, Vol. 105(No. 2): pp. 155–171. https://doi.org/10.1016/j.rse.2006.06.009
- Txomin Hermosilla, Michael A. Wulder, Joanne C. White, Nicholas W. Hobart, & Geordie Hermosilla, 2018). Disturbance-Informed Annual Land Cover Classification Maps of Canada’s Forested Ecosystems for a 29-Year Landsat Time Series, Canadian Journal of Remote Sensing, 44:1, 67–87, DOI: 10.1080/07038992.2018.1437719
- Varhola, A., Wawerla, J., Weiler, M., Coops, N. C., Bewley, D., & Alila, Y. (2010). A new low-cost, stand-alone sensor system for snow monitoring. Journal of Atmospheric and Oceanic Technology, Vol. 27(No. 12): pp. 1973–1978. https://doi.org/10.1175/2010JTECHA1508.1
- Walker, J. J., De Beurs, K. M., Wynne, R. H., & Gao, F. (2012). Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology. Remote Sensing of Environment, Vol. 117, pp. 381–393. https://doi.org/10.1016/j.rse.2011.10.014
- Walters, R. D., Watson, K. A., Marshall, H. P., McNamara, J. P., & Flores, A. N. (2014). A physiographic approach to downscaling fractional snow cover data in mountainous regions. Remote Sensing of Environment, Vol. 152, pp. 413–425. https://doi.org/10.1016/j.rse.2014.07.001
- Wegmann, M., Orsolini, Y., Vázquez, M., Gimeno, L., Nieto, R., Bulygina, O., … Brönnimann, S. (2015). Arctic moisture source for Eurasian snow cover variations in autumn. Environmental Research Letters, Vol. 10(No. 5): pp. 054015. https://doi.org/10.1088/1748-9326/10/5/054015
- Whetton, P. H., Haylock, M. R., & Galloway, R. (1996). Climate change and snow-cover duration in the Australian Alps. Climatic Change, Vol. 32(No. 4): pp. 447–479. https://doi.org/10.1007/BF00140356
- Wood, E. F.et al. (2011). Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth’s terrestrial water. Water Resour. Res., Vol. 47, W05301, doi: 10.1029/2010WR010090.
- Wulder, M. A., Masek, J. G., Cohen, W. B., Loveland, T. R., & Woodcock, C. E. (2012). Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment, Vol. 122, pp. 2–10. https://doi.org/10.1016/j.rse.2012.01.010
- Xiao, X., Shen, Z., & Qin, X. (2001). Assessing the potential of vegetation sensor data for mapping snow and ice cover: A normalized difference snow and ice index. International Journal of Remote Sensing, Vol. 22(No. 13): pp. 2479–2487. https://doi.org/10.1080/01431160119766
- Yin, D., Cao, X., Chen, X., Shao, Y., & Chen, J. (2013). Comparison of automatic thresholding methods for snow-cover mapping using Landsat TM imagery. International Journal of Remote Sensing, Vol. 34(No. 19): pp. 6529–6538. https://doi.org/10.1080/01431161.2013.803631