Upscaling reflectance information of lichens and mosses using a singularity index: A case study of the Hudson Bay Lowlands, Canada

Biogeosciences

Volumn 7, Issue 8, 2010, Pages 2557-2565

  Neta, T ^a   Cheng, Q ^b   Bello, R L ^b   Hu, B ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b YORK UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ASSESSMENT METHOD; CARBON BALANCE; ENVIRONMENTAL MONITORING; IN SITU MEASUREMENT; LICHEN; MOISTURE CONTENT; MOSS; NUMERICAL MODEL; PEATLAND; REFLECTANCE; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPECIES DIVERSITY; SPECTRAL RESOLUTION; SPECTROMETER; UPSCALING; WATER TABLE; WAVELENGTH;

CANADA; HUDSON BAY LOWLANDS;

BRYOPHYTA; CLADONIA RANGIFERINA; CLADONIA STELLARIS; DICRANUM ELONGATUM; TOMENTYPNUM NITENS;

EID: 77956253319     PISSN: 17264170     EISSN: 17264189     Source Type: Journal    
DOI: 10.5194/bg-7-2557-2010     Document Type: Article

References (30)

1. Ayala-Silva, T. and Beyl, C. A.: Changes in spectral reflectance of wheat leaves in response to specific macronutrient deficiency, Adv. Space. Res., 35, doi:10.1016/j.asr.2004.09.008, 305-317, 2005.
2. Bubier, J. L., Rock, B. N. and Crill., P.M.: Spectral reflectance measurements of boreal wetland and forest mosses, J. Geophy. Res., 102 (D24), 29483-29494, 1997.
3. Campbell, J. B.: Introduction to Remote Sensing, The Guilford Press, New York, 1996.
4. Ceccato, P., Flasse, S., Tarantola, S., Jacquemound, S. and Gregoire, J.: Detecting vegetation leaf water content using reflectance in the optical domain, Remote. Sens. Environ., 77(1), 22-33, 2001.
5. Chen, J. M.: Spatial scaling of a remotely sensed surface parameter by contexture, Remote. Sens. Environ., 69(1), 30-42, 1999.
6. Cheng, Q.: A new model for incorporating spatial association and singularity in interpolation of exploratory data, in: Geostatistics Banff 2004, Quantitative Geology and Geostatistics, 14, edited by: Leuangthong, D. and Deutsch, C. V., Springer, New York, 1017-1026, 2006.
7. Cheng, Q.: Modeling Local Scaling Properties for Multiscale Mapping, Vadose. Zone. J., 7(2), 525-532, 2008.
8. Ehleringer, J. R. and Field, C. B.: Scaling physiological processes: Leaf to globe, Academic Press, 1993.
9. El Maayar, M. and Chen., J. M.: Spatial scaling of evapotranspiration as affected by heterogeneities in vegetation, topography, and soil texture, Remote. Sens. Environ., 102, 33-51, 2006.
10. Gao, B.: NDWI - A Normalized difference water index for remote sensing of vegetation liquid water from space, Remote. Sens. Environ., 58(3), 257-266, 1996.
11. Gupta, R. K., Vijayan, D., and Prasad, T. S.: Spectral signature variations as a function of bandwidth using 3 nm bandwidth observations, Adv. Space. Res., 267, 1145-1148, 2000.
12. Hardisky, M. A,, Klemas, V., and Smart, R. M.: The influence of soft salinity, growth form, mad leaf moisture on the spectral reflectance of Spartina alterniflora canopies, Photogramm. Eng. Rem. S., 49(1), 77-83, 1983.
13. Hay, G. J., Niemann, K. O., and Goodenough, D. G.: Spatial thresholds, image-objects, and upscaling: A multiscale evaluation, Remote. Sens. Environ., 62(1), 1-19, 1997.
14. Liang, S.: Canopy reflectance modeling, in: Quantitative remote sensing of land surfaces, edited by: Hoboken, N. J., Wiley-Interscience, 76-142, 2004.
15. Liu, L., Wang, J., Huang, W., Zhao, C., Zhang, B., and Tong Q.: Estimating winter wheat plant water content using red edge parameters, Int. J. Remote Sens., 25(17), 3331-3342, 2004.
16. Neta, T., Cheng, Q., Bello, R., and Hu, B.: Development of new spectral reflectance indices for the detection of lichens and mosses moisture content in the Hudson Bay Lowlands, Canada, Hydrol. Process., Manuscript ID:HYP-10-0086.R1, 36 p, accepted, in progress., 2010a.
17. Neta, T., Cheng, Q., Bello, R., and Hu, B.: Lichens and mosses moisture content assessment through high-spectral resolution remote sensing technology: A case study of the Hudson Bay Lowlands, Canada, Hydrol. Process., doi:10.1002/hyp.7669, 12 p, 2010b.
18. Penuelas, J., Pinol, J., Ogaya, R., and Fiella, I.: Estimation of plant water concentration by the reflectance water index WI (R900 /R970), Int. J. Remote Sens., 18(13), 2869-2875. doi:10.1080/014311697217396, 1997.
19. Ricketts, T. H., Dinerstein, E., Carney, K., Abell, R. A. andWalters, S.: Terrestrial Ecoregions of North America: A Conservation Assessment, Island Press, 1999.
20. Sanderson, E. W., Zhang, M., Ustin, S. L., and Rejmankova, E.: Geostatistical scaling of canopy water content in a California salt marsh, Landscape. Ecol., 13(2), 79-92, 1998.
21. Simic, A., Chen, J. M., Liu, J., and Csillag, F.: Spatial scaling of net primary productivity using subpixel information, Remote. Sens. Environ., 93 (1-2), 246-258, 2004.
22. Tucker, C. J.: Red and photographic infrared linear combinations for monitoring vegetation, Remote. Sens. Environ., 8(2), 127-150, 1979.
23. Tucker, C. J.: Remote sensing of leaf water content in the near infrared, Remote. Sens. Environ., 10(1), 23-32. 1980.
24. University of Maine Canadian-American Center Cartography: www.umaine.edu/canam/teachingcanada.htm, 2005.
25. Unsworth, M. K.: Principles of environmental physics, Elsevier, Amsterdam, Boston, 418 p, 2008.
26. Vogelmann, J. E. and Rock, B. N.: Assessing forest decline in coniferous forests of Vermont using NS-001 Thematic Mapper simulator data, Int. J. Remote Sens., 7(10), 1303-1321, 1986.
27. Walter, B. P., Heimann, M., and Matthews, E.: Modelling modern methane emissions from natural environments: 1. Model description and results, J. Geophys. Res., 106(D24), 34189-34206, 2001.
28. Wang, G., Gertner, G. Z., and Anderson, A. B.: Spatial-Variability-Based Algorithms for scaling-Up Spatial Data and Uncertainties, IEEE. T. Geosci. Remote., 42(9), 2004-2015, 2004.
29. Williams, M., Bell, R., Spadavecchia, L., Street, L. E., and Van Wijk, M. T.: Upscaling leaf area index in an Arctic landscape through multiscale observations, Glob. Change. Biol., 14(7), 1517-1530, 2008.
30. Wu, J. and Qi, Y.: Dealing with scale in landscape analysis: An overview, Geographic Information Sciences, 6, 1-5, 2000.