Abstract
The catchment of Øvre Heimdalsvatn and the surrounding area was established as a site for snow remote sensing algorithm development, calibration and validation in 1997. Information on snow cover and snowmelt are important for understanding the timing and scale of many lake ecosystem processes. Field campaigns combined with data from airborne sensors and spaceborne high-resolution sensors have been used as reference data in experiments over many years. Several satellite sensors have been utilised in the development of new algorithms, including Terra MODIS and Envisat ASAR. The experiments have been motivated by operational prospects for snow hydrology, meteorology and climate monitoring by satellite-based remote sensing techniques. This has resulted in new time-series multi-sensor approaches for monitoring of snow cover area (SCA) and snow surface wetness (SSW). The idea was to analyse, on a daily basis, a time series of optical and radar satellite data in multi-sensor models. The SCA algorithm analyses each optical and synthetic aperture radar (SAR) image individually and combines them into a day product based on a set of confidence functions. The SSW algorithm combines information about the development of the snow surface temperature and the snow grain size (SGS) in a time-series analysis. The snow cover algorithm is being evaluated for application in a global climate monitoring system for snow variables. The successful development of these algorithms has led to operational applications of snow monitoring in Norway and Sweden, as well as enabling the prediction of the spring snowmelt flood and thus the initiation of many lake production processes.
Guest editors: J. E. Brittain & R. Borgstrøm / The subalpine lake ecosystem, Øvre Heimdalsvatn, and its catchment: local and global changes over the last 50 years
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References
Amlien, J., & R. Solberg, 2003. A comparison of temperature retrieval algorithms for snow covered surfaces. Proceedings of the International Geoscience and Remote Sensing Symposium, Toulouse, France, 21–25 July 2003.
Andersen, T., 1982. Operational snow mapping by satellites. Proceedings of the Exeter Symposium, July 1982. IAHS publications 138: 149–154.
Borgstrøm, R., J. Museth & J. E. Brittain, 2010. The brown trout (Salmo trutta) in the lake, Øvre Heimdalsvatn: long-term changes in population dynamics due to exploitation and the invasive species, European minnow (Phoxinus phoxinus). Hydrobiologia. doi:10.1007/s10750-010-0161-7.
Brittain, J. E., H. E. Bjørnstad, B. Salbu & D. H. Oughton, 1992. Winter transport of Chernobyl radionuclides from a montane catchment to an ice-covered lake. Analyst 117: 515–519.
Brittain, J. E. & H. E. Bjørnstad, 2010. A long-term study of catchment inputs of 137Cs to a subalpine lake in the form of allochthonous terrestrial plant material. Hydrobiologia. doi:10.1007/s10750-010-0163-5.
Dozier, J., 1989. Spectral signature of alpine snow cover from the Landsat Thematic Mapper. Remote Sensing of Environment 28: 9–22.
Fily, M., B. Bourdelles, J. P. Dedieu & C. Sergent, 1997. Comparison of in situ and Landsat Thematic Mapper derived snow grain characteristics in the Alps. Remote Sensing of Environment 59: 452–460.
Green, R. O. & J. Dozier, 1995. Measurement of the spectral absorption of liquid water in melting snow with an imaging spectrometer. Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, January 23–26, 1995, JPL Publication no. 95-1: 91–94.
Guneriussen, T., H. Johnsen, R. Solberg & E. Volden, 1997. Snow monitoring using EMISAR and ERS-1 data within the European Multi-sensor Airborne Campaign EMAC-95. Proceedings of the International Geoscience and Remote Sensing Symposium, Singapore, 3–8 August 1997: 631–633.
Key, J. R., J. B. Collins, C. Fowler & R. S. Stone, 1997. High-latitude surface temperature estimates from thermal satellite data. Remote Sensing of Environment 61: 302–309.
Koskinen, J., S. Metsämäki, J. Grandell, S. Jänne, L. Matikainen & M. Hallikainen, 1999. Snow monitoring using radar and optical satellite data. Remote Sensing of Environment 69: 16–29.
Kvambekk, Å. & K. Melvold, 2010. Long-term trends in water temperature and ice cover in the subalpine lake, Øvre Heimdalsvatn, and nearby lakes and rivers. Hydrobiologia. doi:10.1007/s10750-010-0158-2.
Larsson, P. & K. Tangen, 1975. The input and significance of particulate terrestrial organic carbon in a subalpine freshwater ecosystem. In Wielgolaski, F. E. (ed.), Fennoscandian Tundra Ecosystems, Part 1. Ecological Studies 16. Springer, New York: 351–359.
Larsson, P., J. E. Brittain, L. Lien, A. Lillehammer & K. Tangen, 1978. The lake ecosystem of Øvre Heimdalsvatn. Holarctic Ecology 1: 304–320.
Larsson, P., H. Hansen & L. K. Bjørnstad Helland, 2010. Between year variations in the development of crustacean zooplankton in the Norwegian subalpine lake, Øvre Heimdalsvatn. Hydrobiologia. doi:10.1007/s10750-010-0159-1.
Malnes, E. & T. Guneriussen, 2002. Mapping of snow covered area with Radarsat in Norway. Proceedings of the International Geoscience and Remote Sensing Symposium, 24–28 June 2002, Toronto, Canada: 683–685.
Malnes E., R. Storvold & I. Lauknes, 2004. Near real time snow covered area mapping with Envisat ASAR wideswath in Norwegian mountainous areas. ESA ENVISAT & ERS Symposium 2004, Salzburg, Austria, 6–10 September 2004 (ESA SP-572, April 2005).
Nagler, T. & H. Rott, 2000. Retrieval of wet snow by means of multitemporal SAR data. IEEE Transactions of Geoscience and Remote Sensing 38: 754–765.
Nolin, A. W. & J. Dozier, 1993. Estimating snow grain-size using AVIRIS data. Remote Sensing of Environment 44: 231–238.
Orthe, N. K., 2003. How to estimate snow covered area from a time series of Radarsat images. M.Sc.thesis, University of Oslo, Norway (in Norwegian).
Østrem, G., T. Andersen & H. Ødegaard, 1979. Operational use of satellite data for snow inventory and runoff forecasting. Satellite Hydrology, Proceedings of the Pecora Symposium, American Water Resources Association: 230–234.
Painter, T. H., D. A. Roberts, R. O. Green & J. Dozier, 1998. The effect of grain size on spectral mixture analysis of snow-covered area from AVIRIS data. Remote Sensing of Environment 65: 320–332.
Rosenthal, W., 1996. Estimating alpine snow cover with unsupervised spectral unmixing. Proceedings of the International Geoscience and Remote Sensing Symposium, 27–31 May 1996, Lincoln, Nebraska, USA: 2252–2254.
Salbu, B., H. E. Bjørnstad & J. E. Brittain, 1992. Fractionation of Cs-isotopes and 90-Sr in snowmelt run-off and lake waters from a contaminated Norwegian mountain catchment. Journal of Radioanalytical and Nuclear Chemistry 156: 7–20.
Salomonson, V. V. & I. Appel, 2004. Estimating fractional snow cover from MODIS using the normalized difference snow index. Remote Sensing of Environment 89: 351–360.
Salomonson, V. V. & I. Appel, 2006. Development of the Aqua MODIS NDSI fractional snow cover algorithm and validation results. IEEE Transactions of Geoscience and Remote Sensing 44: 1747–1756.
Solberg, R. & T. Andersen, 1994. An automatic system for operational snow-cover monitoring in the Norwegian mountain regions. Proceedings of the International Geoscience and Remote Sensing Symposium, 8–12 August 1994, Pasadena, California, USA: 2084–2086.
Solberg, R., J. Amlien, H. Koren, L. Eikvil, E. Malnes & R. Storvold, 2004. Multi-sensor/multi-temporal analysis of ENVISAT data for snow monitoring. ESA ENVISAT & ERS Symposium 2004, Salzburg, Austria, 6–10 September 2004 (ESA SP-572, April 2005).
Solberg, R., J. Amlien, H. Koren, L. Eikvil, E. Malnes & R. Storvold, 2005. Multi-sensor/multi-temporal approaches for snow cover area monitoring. Proceedings of EARSeL LIS-SIG Workshop, Berne, February 21–23, 2005.
Tait, A. B., D. K. Hall, J. L. Foster & R. L. Armstrong, 2000. Utilizing multiple datasets for snow-cover mapping. Remote Sensing of Environment 72: 111–126.
Vikhamar, D., 2003. Snow-cover mapping in forests by optical remote sensing. Ph.D. thesis, University of Oslo.
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Solberg, R., Koren, H., Amlien, J., Malnes, E., Schuler, D.V., Orthe, N.K. (2010). The development of new algorithms for remote sensing of snow conditions based on data from the catchment of Øvre Heimdalsvatn and the vicinity. In: Brittain, J.E., Borgstrøm, R. (eds) The subalpine lake ecosystem, Øvre Heimdalsvatn, and its catchment: local and global changes over the last 50 years. Developments in Hydrobiology 211, vol 211. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9388-2_4
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