Climatologists have speculated that a spatially coherent pattern of high-latitude temperature trends could be an early indicator of climatic change. The sensitivity of sea ice to the temperature of the overlying air suggests the possibility that trends in Arctic ice conditions may be useful proxy indicators of general climatic changes. Aspects of the north-polar ice pack which have been identified as key parameters to be monitored include ice extent, concentration, type, thickness and motion dynamics. In spite of the considerable interannual, regional and seasonal variations exhibited by these data, there may be some evidence of an emerging trend towards decreasing ice extent and concentration. Collecting data in such a remote and harsh environment to support these analyses is only possible through satellite remote sensing. Remote sensing in the microwave portion of the electromagnetic spectrum is particularly relevant for polar applications because microwaves are capable of penetrating the atmosphere under virtually all conditions and are not dependent on the sun as a source of illumination. In particular, analyses of passive microwave imagery can provide us with daily information on sea-ice extent, type, concentration, dynamics and melt onset. A historical record of Arctic imagery from orbiting passive microwave sensors starting from 1973 provides us with an excellent data source for climate change studies. The development of analysis tools to support large area monitoring is integral to advancing global change research. The critical need is to create techniques which highlight the space-time relationships in the data rather than simply displaying voluminous quantities of data. In particular, hypertemporal image analysis techniques are required to help find anticipated trends and to discover unexpected or anomalous temporal relationships. Direct hypertemporal classification, principal components analysis and spatial time-series analysis are identified as three primary techniques for enhancing change in temporal image sequences. There is still a need for the development of new tools for spatial- temporal modelling.
Adamowski, K., Mohamed, F.B., Dalezios, N.R. and Birta, L.G.1985: Space-time ARIMA modelling of precipitation time series. In Shen, H.W., editor, Multivariate analysis of hydrologic processes. Fort Collins, CO: Engineering Research Center, Colorado State University , 217-27.
2.
Alfultis, M.A. and Martin, S.1987: Satellite passive microwave studies of the Sea of Okhotsk ice cover and its relation to oceanic processes 1978-1982. Journal of Geophysical Research92, 13013-28.
3.
Anderson, M.R.1987: The onset of spring melt in first-year ice regions of the Arctic as determined from scanning multichannel microwave radiometer data for 1979 and 1980. Journal of Geophysical Research92, 13153-63.
4.
Assell, R.A. and Ratkos, J.M.1991: Animation of the normal ice cycle of the Laurentian Great Lakes of North America. Proceedings, Seventh International Conference on Interactive Information and Processing Systems for Meteorology, Hydrology, and Oceanography, New Orleans , USA, 14-18 January 1991, 331-35.
5.
Barber, D.G., LeDrew, E.F., Flett, D.G., Shokr, M. and Falkingham, J.1992a: Seasonal and diurnal variations in SAR signatures of landfast sea ice. IEEE Transactions on Geoscience and Remote Sensing30, 638-42.
6.
Barber, D.G., Manore, M.J., Agnew, T.A., Welch, H., Soulis, E.D. and LeDrew, E.F.1992b: Science issues relating to marine aspects of the cryosphere: implications for remote sensing. Canadian Journal of Remote Sensing18, 46-55.
7.
Barry, R.G.1983: Arctic Ocean ice and climate: perspectives on a century of polar research. Association of American Geographers, Annals73, 485-501.
8.
Barry, R.G., Serreze, M.C., Maslanik, J.A. and Preller, R.H.1993: The Arctic sea ice-climate system: observations and modelling . Reviews of Geophysics31, 397-422.
9.
Bennett, R.J.1975: The representation and identification of spatio-temporal systems: an example of population diffusion in north-west England. Transactions, Institute of British Geographers66, 73-94.
10.
— 1979: Spatial time seriesLondon: Pion.
11.
Bennett, R.J. and Haining, R.P.1976: Space-time models: an introduction to concepts. Occasional Paper 28. London: University College Department of Geography.
12.
Bjerkelund, C.A., Ramseier, R.O. and Rubinstein, I.G.1990: Validation of the SSM/I and AES/York algorithms for sea ice parameters. In Ackley, S.F. and Weeks, W.F., editors, Sea ice properties and processes. Proceedings: W.F. Weeks Sea Ice Symposium, San Francisco, USA, December 1988. Hanover, NH: US Army Cold Regions Research and Engineering Lab, Monograph M90-1, 206-208.
13.
Brown, R.D. and Cote, P.1992: Interannual variability of landfast ice thickness in the Canadian high Arctic 1950-89. Arctic45, 273-84.
14.
Burns, B.A. and Viehoff, T.1991: Merging AVHRR and SSM/I data: an example for ice concentration analyses in the Weddell Sea. Proceedings, 14th Canadian Symposium on Remote Sensing, Calgary, Canada, 6-10 May 1991, 371-74.
15.
Byrne, G.F. and Crapper, P.F.1980: Land cover change detection by principal components analysis of multitemporal MSS data. the presence of clouds. Proceedings, 14th International Symposium on Remote Sensing of Environment , San Jose, Costa Rica, 23-30 April 1980, 1375-82.
16.
Byrne, G.F., Crapper, P.F. and Mayo, K.K.1980: Monitoring land-cover change by principal component analysis of multitemporal Landsat imagery. Remote Sensing of Environment10, 175-84.
17.
Cahalan, R.F. and Chiu, L.S.1986: Large-scale short-period sea ice atmosphere interaction . Journal of Geophysical Research91, 10709-17.
18.
Calkins, H.W.1984: Space-time data display techniques. Proceedings, First International Symposium on Spatial Data Handling , Zürich, Switzerland, August 1984, 324-31.
19.
Campbell, C.S. and Egbert, S.L.1990: Animated cartography: thirty years of scratching the surface . Cartographica27, 24-46.
20.
Carsey, F.D.1984: Prospects for describing and monitoring from space the elements of the seasonal cycle of sea ice. Annals of Glaciology5, 37-42.
21.
— 1985: Summer Arctic sea ice character from satellite microwave data. Journal of Geophysical Research90, 5015-34.
22.
Cavalieri, D.J., Crawford, J.P., Drinkwater, M.R., Eppler, D.T., Farmer, L.D., Jentz, R.R. and Wackerman, C.C.1991: Aircraft active and passive microwave validation of sea ice concentration from the Defense Meteorological Satellite Program special sensor microwave imager. Journal of Geophysical Research96, 21989-2008.
23.
Cavalieri, D.J. and Parkinson, C.L.1987: On the relationship between atmospheric circulation and the fluctuations in the sea ice extents of the Bering and Okhotsk Seas . Journal of Geophysical Research92, 7141-62.
24.
Cetin, H. and Levandowski, D.W.1991: Interactive classification and mapping of multidimensional remotely sensed data using n-dimensional probability density functions (nPDF). Photogrammetric Engineering and Remote Sensing57, 1579-87.
25.
CGCP (Canadian Global Change Program)1989 : Contribution of satellite observations to the Canadian Global Change Program. Canadian Global Change Program Report3. Ottawa: The Royal Society of Canada and the Canada Center for Remote Sensing.
26.
Chapman, W.L. and Walsh, J.E.1992: Recent variations of sea ice and air temperature in high latitudes. American Meteorological Society, Bulletin74, 33-47.
27.
Chavez, P.S. jr and Kwarteng, A.Y.1989: Extracting spectral contrast in Landsat thematic mapper image data using selective principal components analysis. Photogrammetric Engineering and Remote Sensing55, 339-48.
28.
Chorley, R.J. and Haggett, P.1965: Trend-surface mapping in geographical research . In Berry, B.J.L., editor, Spatial analysis. Englewood Cliffs, NJ: Prentice-Hall, 195-217.
29.
Clarke, R.A. and Jones, E.P.1989: The Arctic Ocean: its role in the global climate engine . Proceedings, Symposium on the Arctic and Global Change, Ottawa, Canada, 25-27 October 1989, 42-57.
30.
Comiso, J.C.1986: Characteristics of Arctic winter sea ice from satellite multispectral microwave observations. Journal of Geophysical Research91, 975-94.
31.
Comiso, J.C. and Sullivan, C.W.1986: Satellite microwave and in situ observations of the Weddell Sea ice cover and its marginal ice zone. Journal of Geophysical Research91, 9663-81.
32.
Com iso, J.C. and Zwally, H.J.1982: Antarctic sea ice concentrations inferred from Nimbus 5 ESMR and Landsat imagery. Journal of Geophysical Research87, 5836-44.
33.
— 1984: Concentration gradients and growth/decay characteristics of the seasonal ice cover. Journal of Geophysical Research89, 8081-103.
34.
Crane, R.G.1978: Seasonal variations in sea ice extent in the Davis Strait-Labrador Sea area and relationships with synoptic scale atmospheric circulation. Arctic31, 434-47.
35.
— 1983: Atmosphere-sea ice interactions in the Beaufort/Chukchi Sea and in the European sector of the Arctic. Journal of Geophysical Research88, 4505-23.
36.
Crane, R.G. and Anderson, M.R.1989: Spring melt patterns in the Kara/Barents Sea: 1984 . GeoJournal18, 25-33.
37.
Crane, R.G., Barry, R.G. and Zwally, H.J.1982: Analysis of atmosphere-sea ice interactions in the Arctic Basin using ESMR microwave data. International Journal of Remote Sensing3, 259-76.
38.
Curry, L.1970: Applicability of space-time moving average forecasting . In Chisholm, M., Frey, A.E. and Haggett, P. , editors, Regional forecasting. Hamden : Archon.
39.
Daley, R.1989: General circulation models. Proceedings, Symposium on the Arctic and Global Change, Ottawa Canada, 25-27 October 1989, 32-33.
40.
Davis, F.W., Quattrochi, D.A., Ridd, M.K., Lam, N.S.-N., Walsh, S.J., Michaelsen, J.C., Franklin, J., Stow, D.A., Johannsen, C.J. and Johnston, C.A.1991: Environmental analysis using integrated GIS and remotely sensed data: some research needs and priorities. Photogrammetric Engineering and Remote Sensing57, 689-97.
41.
Dey, B.1981: Monitoring winter sea ice dynamics in the Canadian Arctic with NOAA-TIR images. Journal of Geophysical Research86, 3223-35.
42.
Eastman, J.R. and Fulk, M.1993: Long sequence time series evaluation using standardized principal components. Photogrammetric Engineering and Remote Sensing59, 991-96.
43.
Eastman, J.R. and McKendry, J.E.1991: Change and time series analysis. Geneva : United Nations Institute for Training and Research .
44.
Edwards, G., Jaton, A. and Thomson, K.P.B.1991: Manipulating hyperspectral data. Proceedings, 14th Canadian Symposium on Remote Sensing, Calgary, Canada, 6-10 May 1991, 356-59.
45.
Emery, W.J., Radebaugh, M., Fowler, C.W., Cavalieri, D. and Steffen, K.1991: A comparison of sea ice parameters computed from advanced very high resolution radiometer and Landsat satellite imagery and from airborne passive microwave radiometry. Journal of Geophysical Research96, 22075-85.
46.
Eyton, J.R.1991: Rate-of-change maps. Cartography and GeographicInformation Systems18, 87-103.
47.
Fung, T. and LeDrew, E.1987: Application of principal components analysis to change detection. Photogrammetric Engineering and Remote Sensing53, 1649-58.
48.
Gloersen, P.1990: A time-lapse motion study of the 'Odden' during 1978-1987 as observed with the Nimbus-7 scanning multichannel microwave radiometer . In Ackley, S.F. and Weeks, W.F., editors, Sea ice properties and processes. Proceedings: W.F. Weeks Sea Ice Symposium , San Francisco, USA, December 1988 . Monograph M90-1. Hanover, NH: US Army Cold Regions Research and Engineering Lab, 177-79.
49.
Gloersen, P. and Campbell, W.J.1988: Variations in the Arctic, Antarctic, and global sea ice covers during 1978-1987 as observed with the Nimbus-7 scanning multichannel microwave radiometer. Journal of Geophysical Research93, 10666-74.
50.
Gloersen, P., Campbell, W.J., Cavalieri, D.J., Comiso, J.C., Parkinson, C.L. and Zwally, H.J.1993. Arctic and Antarctic sea ice 1978-1987: satellite passive-microwave observations and analysis (NASA SP-511). Washington, DC : National Aeronautics and Space Administration .
51.
Gong, P. and Howarth, P.J.1990: A comparison of two feature-selection procedures for supervised land-cover classification. Proceedings, 13th Canadian Symposium on Remote Sensing, Fredericton , Canada, 16-19 July 1990, 190-202.
52.
Hare, F.K.1982: Confusion about climate: what is happening? Canadian Geographic101, 48-53.
53.
Hipel, K.W. and McLeod, A.I.1992: Time series modelling of water resources and environmental systems. Amsterdam: Elsevier.
54.
Houghton, J.T.1990: Scientific assessment of climate change: summary of the IPCC working group I report. In Jäger, J. and Ferguson, H.L., editors, Climate change: science, impacts and policy. Cambridge : Cambridge University Press, 23-45.
55.
Howarth, P.J. and Wickware, G.M.1981: Procedures for change detection using Landsat digital data. International Journal of Remote Sensing2, 277-91.
56.
Ikeda, M.1990a: Feedback mechanism among decadal oscillations in Northern Hemisphere atmospheric circulation, sea ice, and ocean circulation . Annals of Glaciology14, 120-23.
57.
— 1990b: Decadal oscillations of the air-ice-ocean system in the Northern Hemisphere. Atmosphere-Ocean28, 106-39.
58.
Ingebritsen, S.E. and Lyon, R.J.P.1985: Principal components analysis of multitemporal image pairs . International Journal of Remote Sensing6, 687-96.
59.
Jacobs, J.D. and Newell, J.P.1979: Recent year-to-year variations in seasonal temperatures and sea ice conditions in the eastern Canadian Arctic. Arctic32, 345-54.
60.
Johnson, D.D.1989: Remote sensing of polar regions: a review of its development and application to atmosphere-ice-ocean interaction processes. Earth Observations Laboratory Technical Report ISTS-EOL-TR89-002. Waterloo : Department of Geography, University of Waterloo .
61.
Kelly, P.M., Goodess, C.M. and Cherry, B.S.G.1987: The interpretation of the Icelandic sea record . Journal of Geophysical Research92, 10835-43.
62.
Kelly, P.M., Jones, P.D., Sear, C.B., Cherry, B.S.G. and Tavakol, R.K.1982: Variations in surface air temperatures. Part 2. Arctic regions 1881-1980. Monthly Weather Review110, 71-83.
63.
Key, J., Maslanik, J.A. and Schweiger, A.J.1989: Classification of merged AVHRR and SMMR Arctic data with neural networks. Photogrammetric Engineering and Remote Sensing55, 1331-38.
64.
Kukla, G.1993: Glacial start and global warming: what to watch . Proceedings, Snow Watch '92: detection strategies for snow and ice, Niagara-on-the-Lake, Canada, 30 March - 1 April, 1993. Report ISTS-EOL-TR93-005. Waterloo : Earth Observations Laboratory, Institute for Space and Terrestrial Science, 93-110.
65.
Labovitz, M.L.1986: Issues arising from sampling designs and band selection in discriminating ground reference attributes using remotely sensed data. Photogrammetric Engineering and Remote Sensing52, 201.
66.
Ledley, T.S.1990: The impact of Milankovitch solar radiation variations on sea ice and air temperature in a coupled energy-balance climate-sea-ice model. Annals of Glaciology14, 144-47.
67.
LeDrew, E.F.1976: Physical mechanisms responsible for the major synoptic systems in the eastern Canadian Arctic in the winter and summer of 1973. NCAR Cooperative Thesis 38. Boulder, CO: National Center for Atmospheric Research, University of Colorado.
68.
— 1992a: Polar regions, influence on climate variability and change . In Nierenberg, W.A., editor, Encyclopedia of earth system science 3. San Diego, CA: Academic Press, 647-59.
69.
— 1992b: The role of remote sensing in the study of atmosphere-cryosphere interactions in the polar basin. Canadian Geographer36, 337-50.
70.
LeDrew, E.F., Barber, D., Agnew, T. and Dunlop, D.1992: Canadian sea ice atlas from microwave remotely sensed imagery: July 1987 to June 1990. Ottawa: Canada Communications Group.
71.
LeDrew, E.F., Johnson, D. and Maslanik, J.A.1991: An examination of atmospheric mechanisms that may be responsible for the annual reversal of the Beaufort Sea ice field. International Journal of Climatology11, 841-59.
72.
Lemke, P., Trinkl, E.W. and Hasselmann, K.1980: Stochastic dynamic analysis of polar ice variability. Journal ofPhysical Oceanography10, 2100-20.
73.
Lillesand, T.M. and Kiefer, R.W.1987: Remote sensing and image interpretation (2nd edn). New York: Wiley.
74.
Lodwick, G.D.1979: Measuring ecological changes in multitemporal Landsat data using principal components. Proceedings, 13th International Symposium on Remote Sensing of Environment, Ann Arbor, USA, 23-27 April 1979, 1131-41.
75.
MacEachren, A.M. and Ganter, J.H.1990: A pattern identification approach to cartographic visualization . Cartographica27, 64-81.
76.
Marceau, D.1989: A review of image classification procedures with special emphasis on the grey-level cooccurrence matrix method for texture analysis, Report ISTS-EOL-TR89-007. Waterloo: Earth Observations Laboratory, Institute for Space and Terrestrial Science .
77.
Martin, R.L. and Oeppen, J.E.1975: The identification of regional forecasting models using space-time correlation functions. Transactions, Institute of British Geographers66, 95-118.
78.
Maslanik, J., Key, J. and Schweiger, A.1990: Neural network identification of sea-ice seasons in passive microwave data. Proceedings, IGARSS'90 , Washington, USA, 20 May 1990, 1281-84.
79.
Massom, R.A.1991: Satellite remove sensing of polar regions. London: Belhaven.
80.
Mausel, P.W., Kramber, W.J. and Lee, J.K.1990: Optimum band selection for supervised classification of multispectral data. Photogrammetric Engineering and Remote Sensing56, 55-60.
81.
Maykut, G.A. and Untersteiner, N.1971: Some results from a time-dependent thermodynamic model of sea ice. Journal of Geophysical Research76, 1550-75.
82.
Mazer, A.S., Martin, M., Lee, M. and Solomon, J.S.1988: Image processing software for imaging spectrometry data analysis. Remote Sensing of Environment24, 201-10.
83.
Monmonier, M.1990: Strategies for the visualization of geographic time-series data. Cartographica27, 30-45.
84.
Mysak, L.1990: Current and future trends in Arctic climate research: can changes of the Arctic sea-ice be used as an early indicator of global warming? Personal notes from a Canadian Ice Working Group workshop, McGill University, November.
85.
Niebauer, H.J.1983: Multiyear sea ice variability in the eastern Bering Sea: an update. Journal of Geophysical Research88, 2733-42.
86.
Orheim, O. and Lucchitta, B.1990: Investigating climate change by digital analysis of blue ice extent on satellite images of Antarctica. Annals of Glaciology14,211-15.
87.
Parkes, D. and Thrift, N.1980: Times, spaces, and places. Chichester : Wiley.
88.
Parkinson, C.L.1989: On the value of long-term satellite passive microwave data sets for sea ice/ climate studies. GeoJournal18, 9-20.
89.
— 1991: Interannual variability of the spatial distribution of sea ice in the north polar region. Journal of Geophysical Research96, 4791-801.
90.
Parkinson, C.L. and Cavalieri, D.J.1989: Arctic sea ice 1973-1987: seasonal, regional, and interannual variability. Journal of Geophysical Research94, 14499-523.
91.
Parkinson, C.L., Comiso, J.C., Zwally, H.J., Cavalieri, D.J., Gloersen, P. and Campbell, W.J.1987. Arctic sea ice 1973-1976: satellite passive microwave observations. Report NASA SP-489. Washington, DC: National Aeronautics and Space Administration.
92.
Pfeifer, P.E. and Deutsch, S.J.1980: A three-stage iterative procedure for space-time modelling . Techno-metrics22, 35-47.
93.
Robertson, P.K.1991: A methodology for choosing data representations . IEEE Computer Graphics and Applications11, 56-67.
94.
Roots, F.1989: Environmental issues related to climate change in northern high latitudes. Proceedings, Symposium on the Arctic and Global Change, Ottawa, Canada, 25-27 October 1989, 6-31.
95.
Ropelewski, C.F.1983: Spatial and temporal variations in Antarctic sea-ice (1973-82) . Journal of Climate and Applied Meteorology22, 470-73. Rothrock, D.A., Thomas , D.R. and Thorndike , A.S.1988: Principal component analysis of satellite passive microwave data over sea ice. Journal of Geophysical Research93, 2321-32.
96.
Rundquist, D.C. and Di, L.1989: Band-moment analysis of imaging-spectrometer data . Photogrammetric Engineering and Remote Sensing55, 203-208.
97.
Saab, D.A. and Haythornthwaite, T.W.1990: Application of spatio-temporal database models to street network files. Proceedings, GIS for the 1990s, Ottawa, Canada, 5-8 March 1990, 1072-85.
98.
Serreze, M.C., Barry, R.G. and McLaren, A.S.1989: Seasonal variations in sea ice motion and effects on sea ice concentration in the Canada basin. Journal of Geophysical Research94, 10955-70.
99.
Sheffield, C.1985: Selecting band combinations from multispectral data. Photogrammetric Engineering and Remote Sensing51, 681.
100.
Singh, A.1989: Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing10, 989-1003.
101.
Staenz, K. and Goodenough, D.G.1990: Airborne imaging spectrometer data analysis applied to an agricultural data set. Proceedings, Global and Environmental Monitoring Techniques and Impacts, Victoria, Canada, 17-21 September 1990, 552-59.
102.
Steffen, K. and Schweiger, A.1991: NASA team algorithm for sea ice concentration retrieval from Defense Meteorological Satellite Program special sensor microwave imager: comparison with Landsat satellite imagery. Journal of Geophysical Research96, 21971-87.
103.
Stidd, C.K.1967: The use of eigenvectors for climatic estimates . Journal of Applied Meteorology6, 255-64.
104.
Stutheit, J.1991: Temporal GIS investigates global change. GIS World4, 68-72.
105.
Tateishi, R. and Kajiwara, K.1990: Global land cover monitoring by NOAA GVI data. Proceedings, Global and Environmental Monitoring Techniques and Impacts, Victoria, Canada, 17-21 September 1990, 34-41.
106.
Thomas, D.R. and Rothrock, D.A.1989: Blending sequential scanning multichannel microwave radiometer and buoy data into a sea ice model. Journal of Geophysical Research94, 10907-20.
107.
Townshend, J.R.G., Goff, T.E. and Tucker, C.J.1985: Multitemporal dimensionality of images of normalized difference vegetation index at continental scales. IEEE Transactions on Geoscience and Remote SensingGE-23, 888-95.
108.
Vowinckel, E. and Orvig, S.1970: The climate of the north polar basin. In Orvig, S., editor, Climates of the polar regions . Amsterdam: Elsevier, 129-252.
109.
Walsh, J.E.1983: The role of sea ice in climatic variability: theories and evidence. Atmosphere-Ocean21,229-42.
110.
Walsh, J.E. and Johnson, C.M.1979a: Interannual atmospheric variability and associated fluctuations in Arctic sea ice extent. Journal of Geophysical Research84, 6915-28.
111.
— 1979b: An analysis of Arctic sea ice fluctuations 1953-77 . Journal of Physical Oceanography9, 580-91.
112.
Washington, W.M. and Meehl, G.A.1989: Climate sensitivity due to increased CO2: experiments with a coupled atmosphere and ocean general circulation model . Climate Dynamics4, 1-38.
113.
Weeks, W.F.1976: Sea ice conditions in the Arctic. AIDJEXBulletin34, 173-205.
114.
Wills, G., Bradley, R., Haslett, J. and Unwin, A.1990: Statistical exploration of spatial data. Proceedings, 4th International Symposium on Spatial Data Handling , Zurich, Switzerland, 23-27 July 1990 , 491-500.
115.
Zwally, H.J., Comiso, J.C., Parkinson, C.L., Campbell, W.J., Carsey, F.D. and Gloersen, P.1983a: Antarctic sea ice 1973-1976: passive microwave observations. Report NASA SP-459. Washington, DC: National Aeronautics and Space Administration.
116.
Zwally, H.J., Parkinson, C.L. and Comiso, J.C.1983b: Variability of Antarctic sea ice and changes in carbon dioxide. Science220, 1005-12.
