Shortwave Reflectance Properties of Arctic Tundra Landscapes

  • A. S. Hope
  • D. A. Stow
Part of the Ecological Studies book series (ECOLSTUD, volume 120)

Abstract

Studies of shortwave reflectance properties fall into two broad categories: (1) those dealing with the total broad band reflectance (albedo) and (2) those concerned with spectral reflectance characteristics of terrestrial surfaces. Despite the importance of shortwave radiation as the primary energy source for most physical and biological processes, information regarding the shortwave reflective properties of Arctic landscapes is scarce. Albedo is a key variable affecting the surface energy balance (Chap. 6, this Vol.), whereas spectral reflectance may be used to infer biophysical quantities such as biomass or vegetation composition (Chap. 18, this Vol.). Spectral radiances also constitute the basic data used in classical remote sensing studies (e.g., land cover classification) (Stow et al. 1989; Walsh and Davis 1994).

Keywords

Biomass Dust Acidity Photosynthesis Remote Sensor 

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References

  1. Aase JK, Millard JP, Brown BS (1986) Spectral radiance estimates of leaf area and leaf phytomass of small grains and native vegetation. IEEE Trans Geosci Remote Sens GE-24: 685–691CrossRefGoogle Scholar
  2. Asrar G, Myneni RB, Kanemasu ET (1989) Estimation of plant-canopy attributes from spectral reflectance measurements. In: Asrar G (ed) Theory and applications of optical remote sensing. Wiley, New York, p 252Google Scholar
  3. Auerbach NA, Walker DA, Walker MD, Hope AS, Stow DA (1992) Landscape-scale vegetation production in glaciated surfaces of different ages in the Arctic Foothills, Alaska. Paper presented at the Ecological Society of America Symp, Honolulu, Hawaii, 9–13 Aug 1992Google Scholar
  4. Curran PJ, Williamson HD (1985) The accuracy of ground data used in remote sensing investigations. Int J Remote Sens 6: 1637–1651CrossRefGoogle Scholar
  5. Deering DW, Middleton EM (1990) Spectral bidirectional reflectance and effects on vegetation indices for a prairie grassland. Symp on FIFE, 7–9 Feb, Am Meteorol Soc, Anaheim, California. AMS, BostonGoogle Scholar
  6. Drake BG (1976) Seasonal changes in reflectance and standing crop biomass in three salt marsh communities. Plant Physiol 58: 696–699CrossRefGoogle Scholar
  7. Eller BM (1977) Road dust-induced increase of leaf temperature. Environ Pollut 13: 99–107 Goel SG, Reynolds NE (1989) Bidirectional canopy reflectance and its relationship to vegetation characteristics. Int J Remote Sens 10: 107–132Google Scholar
  8. Hope AS, Fleming JB, Stow DA, Aguado E (1991) Tussock tundra albedos on the north slope of Alaska: effects of illumination, vegetation composition, and dust deposition. J Appl Meteorol 8: 1200–1206CrossRefGoogle Scholar
  9. Hope AS, Kimball JS, Stow DA (1993) The relationship between tussock tundra spectral reflectance properties and biomass, and vegetation composition. Int J Remote Sens 14 (10): 1861–1874CrossRefGoogle Scholar
  10. Johnston PA, Fuggle RF (1988) Variations in albedo in the southwestern Cape Province. South Afr Geogr 15: 37–42Google Scholar
  11. Lawson DE (1986) Response of permafrost terrain to disturbance: a synthesis of observations from northern Alaska, USA. Arct Alp Res 18: 1–17CrossRefGoogle Scholar
  12. McFadden JD, Ragotzkie RA (1967) Climatological significance of albedo in central Canada. J Geophys Res 72: 1135–1143CrossRefGoogle Scholar
  13. Miller DH (1981) Energy at the surface of the earth. Academic Press, New YorkGoogle Scholar
  14. Musick HB, Grover HD (1991) Image textural measures as indices of landscape pattern. In: Turner MG, Gardner RH (eds) Quantitative methods in landscape ecology. Ecological Studies 82. Springer, Berlin Heidelberg New York, pp 77–103Google Scholar
  15. Nkemdirim LC (1972) A note on the albedo of surfaces. J Appl Meteorol 11: 867–874 Ostendorf B, Reynolds JF (1993) Relationships between a terrain-based hydrologic model and patch-scale vegetation pattern in an arctic tundra landscape. Landscape Ecol 8: 229–237Google Scholar
  16. Petzold DE, Goward SN (1988) Reflectance spectra of subarctic lichens. Remote Sens Environ 24: 481–492CrossRefGoogle Scholar
  17. Sellers Pt (1985) Canopy reflectance, photosynthesis and transpiration. Int J Remote Sens 8: 1335–1372CrossRefGoogle Scholar
  18. Stoner WA, Miller PC, Oechel W (1978) Simulation of the effect of the tundra vascular plant canopy on the production of four moss species. In: Tieszen LL (ed) Vegetation and production ecology of Alaskan Arctic Tundra. Springer, Berlin Heidelberg New York, PP 371–387CrossRefGoogle Scholar
  19. Stow DA, Burns B, Hope AS (1989) Mapping arctic tundra vegetation using digital SPOT/HRV-XS data: a preliminary assessment. Int J Remote Sens 10: 1451–1457CrossRefGoogle Scholar
  20. Stow DA, Burns B, Hope AS (1993a) Spectral, spatial and temporal characteristics of arctic tundra reflectance. Int J Remote Sens 14 (13): 2445–2462CrossRefGoogle Scholar
  21. Stow DA, Hope AS, George T (1993b) Reflectance characteristics of arctic tundra vegetation from airborne radiometry. Int J Remote Sens 14: 1239–1244CrossRefGoogle Scholar
  22. Talbot ST, Markon CJ (1988) Intermediate-scale vegetation mapping of Innoko National WildlifeGoogle Scholar
  23. Refuge, Alaska, using Landsat MSS digital data. Photogramm Eng Remote Sens 54: 377–383 Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ 8: 127–150Google Scholar
  24. Tucker CJ, Holben BN, Elgin JH, McMurtrey J (1981) Remote sensing of total dry matter accumulation in winter wheat. Remote Sens Environ 11: 171–190CrossRefGoogle Scholar
  25. Walker DA, Acevedo W (1987) Vegetation and Landsat-derived landcover map of the Beechey Point quadrangle, Arctic Coastal Plain, Alaska. CRREL Rep 87–5, Univ Colorado, BoulderGoogle Scholar
  26. Walker DA, Everett KR (1987) Road dust and its environmental impact on Alaskan taiga and tundra. Arct Alp Res 19: 479–489CrossRefGoogle Scholar
  27. Walsh SJ, Davis FW (1994) Applications of remote sensing and geographic Information systems in vegetation science: introduction. J Veg Sci 5: 610–613Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • A. S. Hope
  • D. A. Stow

There are no affiliations available

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