Have a personal or library account? Click to login
The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians Cover

The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians

Open Access
|Aug 2013

References

  1. Austin, M.P. (1985). Continuum concept, ordination methods and niche theory. Annu. Rev. Ecol. Syst., 16, 39-61. DOI:10.1146/annurev.es.16.110185.000351.10.1146/annurev.es.16.110185.000351
  2. Austin, M.P. & Smith T.M. (1989). A new model for the continuum concept. Vegetatio, 83, 35-47. DOI:10.1007/ BF00031679.10.1007/BF00031679
  3. Bawa, K., Rose, J., Ganeshaiah, K.N., Barve, N., Kiran, M.C. & Umashaanker R. (2002). Assessing biodiversity from space: an example from the Western Ghats, India. Conserv. Ecol., 6(2), 7.10.5751/ES-00434-060207
  4. Behrens, T., Zhu, A.-X., Schmidt, K. & Scholten T. (2010). Multi-scale digital terrain analysis and feature selection for digital soil mapping. Geoderma, 155, 175-185. DOI:10.1016/j.geoderma.2009.07.010.10.1016/j.geoderma.2009.07.010
  5. Beven, K. & Kirkby M.J. (1979) A physically based, variable contributing area model of basin hydrology. HydrologicalSciences Bulletin, 24(1), 43-69. DOI:10.1080/02626667909491834.10.1080/02626667909491834
  6. Crist, E.P. & Cicone R.C. (1984). A physically-based transformation of Thematic Mapper Data - the TM Tasseled Cap. IEEE Transactions on Geoscience and Remote Sensing, 22(3), 256-263. DOI:10.1109/TGRS.1984.350619.10.1109/TGRS.1984.350619
  7. Dobos, E., Micheli, E., Baumgardner, M.F., Biehl, L. & Helt T. (2000). Use of combined digital elevation model and satellite radiometric data for regional soil mapping. Geoderma, 97(3-4), 367-391. DOI:10.1016/S0016- -7061(00)00046-X.
  8. Frank, A. & Karn J. (2003). Vegetation indices, CO2 flux, and biomass for Northern Plains grass-lands. J. RangeManag., 56, 382-387.
  9. Gao, B.-C. (1996). NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens. Environ., 58(3), 257-266. DOI:10.1016/S0034-4257(96)00067-3.10.1016/S0034-4257(96)00067-3
  10. Gessler, P.E., Moore, I.D., McKenzie, N.J. & Ryan P.J. (1995). Soil-landscape modeling and spatial prediction of soil attributes. International Journal of GIS, 9(4), 421-432. DOI:10.1080/02693799508902047.10.1080/02693799508902047
  11. Glenn, E.P., Huete, A.R., Nagler, P.L. & Nelson S.G. (2008). Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: what vegetation indices can and cannot tell us about the landscape. Sensors, 8(4), 2136-2160. DOI:10.3390/s8042136.10.3390/s8042136
  12. Guisan, A. & Zimmermann N.E. (2000). Predictive habitat distribution models in ecology. Ecol. Model., 135,147-186. DOI:10.1016/S0304-3800(00)00354-9.10.1016/S0304-3800(00)00354-9
  13. Jarvis, A, Reuter, H.I., Nelson, A. & Guevara E. (2008). Hole-filled seamless SRTM data V4. International Centre forTropical Agriculture (CIAT). Retrieved November 22, 2012, from http://srtm.csi.cgiar.org.
  14. Kumar, L., Skidmore, A.K. & Knowles E. (1997). Modelling topographic variation in solar radiation in a GIS environment. Int. J. of Geogr. Information Science, 11(5), 475-497.10.1080/136588197242266
  15. Merot, Ph., Squividant, H. & Aurousseau P. (2003). Testing a climato-topographic index for predicting wetlands distribution along a European climate gradient. Ecol. Model., 163, 51-71. DOI:10.1016/S0304-3800(02)00387-3.10.1016/S0304-3800(02)00387-3
  16. Mitasova, H.J., Hofierka, M., Zlocha, R. & Iverson L. (1996). Modeling topographic potential for erosion and deposition using GIS. Int. J. of Geogr. Information Science, 10(5), 629-641.10.1080/02693799608902101
  17. NASA Landsat Program. (2009). Landsat 7 ETM+ scene L71185026_02620070522, Geo-cover. Sioux Falls: USGS.
  18. Oindo, B.O., de By, R.A. & Skidmore A.K. (2000). Interannual variability of NDVI and bird species diversity in Kenya. International Journal of Applied Earth Observation and Geoinformation, 2(3-4), 172-180. DOI:10.1016/ S0303-2434(00)85011-4.10.1016/S0303-2434(00)85011-4
  19. Rouse, J.W., Haas, R.H., Schell, J.A. & Deering D.W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. Third ERTS Symposium, NASA SP-351, 1, 309-317.
  20. StatSoft, Inc. (2012). Electronic Statistics Textbook. Tulsa, OK, USA: Statsoft, Inc.
  21. Whittaker, R. H. (1960). Vegetation of the Siskiyou Mountains, Oregon and California. Ecol. Monogr., 30, 279-338. DOI:10.2307/1943563.10.2307/1943563
DOI: https://doi.org/10.2478/eko-2013-0007 | Journal eISSN: 1337-947X | Journal ISSN: 1335-342X
Language: English
Page range: 87 - 94
Published on: Aug 24, 2013
Published by: Slovak Academy of Sciences, Institute of Landscape Ecology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2013 Alexander Mkrtchian, published by Slovak Academy of Sciences, Institute of Landscape Ecology
This work is licensed under the Creative Commons License.