Optimizing remotely sensed solutions for monitoring, modeling, and managing coastal environments

Remote Sensing of Environment

Volumn 73, Issue 2, 2000, Pages 117-132

  Phinn, Stuart R ^a,b   Menges, Carl ^c   Hill, Greg J E ^c   Stanford, Michael ^b  

^a SAN DIEGO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c CHARLES DARWIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COASTAL MANAGEMENT;

COASTAL ZONES; MATHEMATICAL MODELS; WETLANDS;

REMOTE SENSING;

COASTAL ZONE; OPTIMIZATION; REMOTE SENSING;

AUSTRALIA; UNITED STATES;

EID: 0034255322     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(00)00087-0     Document Type: Article

References (27)

1. American Society for Photogrammetry and Remote Sensing (A.S.P.R.S.). (1996), Land Satellite Information in the Next Decade: Proceedings and Data Notebook, A.S.P.R.S., Vienna, Virginia, September 1995.
2. Aplin P., Atkinson P., Curran P. Fine spatial resolution satellite sensors for the next decade. Int. J. Remote Sens. 18(18):1997;3873-3881.
3. Atkinson, P. M. (1997), Scale and spatial dependence. In Scaling Up: From Cell to Landscape (P. Van Gardingen, P. Curran, and G. Foody, Eds.), Cambridge University Press, Melbourne, Society for Experimental Biology Series, pp. 35-60.
4. Barnsley, M., Barr, S., and Tsang, T. (1997), Scaling and generalisation in landcover mapping from satellite sensors. In Scaling Up: From Cell to Landscape (P. Van Gardingen, P. Curran, and G. Foody, Eds.), Cambridge University Press, Melbourne, Society for Experimental Biology Series, pp. 173-200.
5. Congalton R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 37:1991;35-46.
6. Curran, P., Foody, G., and Van Gardingen, P. (1997), Scaling Up. In Scaling Up: From Cell to Landscape (P. Van Gardingen, P. Curran, and G. Foody, Eds.), Cambridge University Press, Melbourne, Society for Experimental Biology Series, pp. 1-6.
7. Curran P., Milton E., Atkinson M., Foody G. Remote Sensing. From Data to Understanding Longley P., Brooks S., McDonnell R., MacMillan B. Geocomputation. A Primer:1998;33-59 John Wiley and Sons, New York.
8. Dobson, J. E., Ferguson, R. L., Field, D. W., Wood, L. L., Haddad, K. D., Iredale, H., Klemas, V. V., Orth, R. J., and Thomas, J. P. (1995), NOAA Coastal Change Analysis Project C-CAP. Guidance for regional implementation. NOAA Technical Report NMFS 123, U.S. Department of Commerce, Seattle, Washington.
9. Finlayson, C. M., and Von Oertzen, I., Eds. (1996), Landscape and Vegetation Ecology of the Kakadu Region, Northern Australia, Kulwer Academic Publishers, London, 1996.
10. Garcia-Moliner G., Mason D.M., Greene C.H., Lobo A., Li B., Bradshaw G.A. Description and analysis of spatial patterns. Levin S., Powell T.M., Steele J.H. Patch Dynamics, Lecture Notes in Biomathematics, 95. 1993;70-89 Springer Verlag, New York.
11. Green, E., Mumby, P., Clark, C., Edwards, A., and Ellis, A. (1996), A comparison between satellite and airborne multispectral data for the assessment of mangrove areas in the eastern Caribbean. Proceedings of the Fourth International Conference on Remote Sensing for Marine and Coastal Environments, Orlando, Florida, 17-19 March, I-168-176.
12. Jensen, J. R. (1996), Introductory Digital Image Processing: A Remote Sensing Perspective, 2nd ed., Prentice Hall, New Jersey.
13. Jensen J.R., Cowen D.J., Althausen J.D., Narumalani S., Weatherbee O. An evaluation of the CoastWatch Change Detection Protocol in South Carolina. Photogramm. Eng. Remote Sens. 59(6):1993;1039-1046.
14. Klemas V.V., Dobson J.E., Ferguson R.L., Haddad K.D. A coastal land cover classification system for the NOAA Coastwatch Change Analysis Project. J. Coastal Res. 9(3):1993;862-872.
15. Marceau D.J., Gratton D.J., Fournier R.A., Fortin J.P. Remote sensing and the measurement of geographical entities in a forested environment. 2. The optimal spatial resolution. Remote Sens. Environ. 49:1994;105-117.
16. Moellering H., Tobler W. Geographical variances. Geographical Analysis. 4:1972;34-50.
17. Phinn, S. R. (1997), Remote Sensing and Spatial Analytic Techniques for Monitoring Landscape Structure in Disturbed and Restored Coastal Environments. Ph.D. Dissertation, Departments of Geography, San Diego State University, University of California at Santa Barbara.
18. Phinn S.R. A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management. Int. J. Remote Sens. 19:1998;3457-3463.
19. Phinn, S. R., and Stow, D. A. (1996), Spatial, spectral, radiometric and temporal dimensions of remotely sensed data for monitoring wetland vegetation in southern California. In Proc. of the ERIM Second International Airborne Remote Sensing Conference and Exhibition, San Francisco, pp. I:64-73.
20. Phinn, S. R., Stow, D. A., Franklin, J., Mertes, L., and Michaelsen, J. (1999), A framework for selecting remotely sensed data and spatial analytic techniques for monitoring disturbed and restored environments. Submitted to Landscape Ecology 6/99 (still in review).
21. Phinn S.R., Stow D.A., Zedler J.B. Monitoring wetland restoration using airborne multi-spectral video data in southern California. Restoration Ecology. 4):1996;412-422.
22. Quattrochi D., Goodchild M. Scale in Remote Sensing and GIS. 1997;Lewis Publishers, Boca Raton, FL.
23. Ridd M. Exploring a V-I-S (vegetation-impervious-surface-soil). Model for urban ecosystem analysis through remote sensing. Comparative anatomy for cities Int. J. Remote Sens. 16:1995;2165-2185.
24. Strahler A.H., Woodcock C.E., Smith J.A. On the nature of models in remote sensing. Remote Sens. Environ. 20:1986;121-139.
25. Ward D., Murray A.T., Phinn S.R. Monitoring growth in rapidly urbanising areas using remotely sensed data. Submitted to. Professional Geographer. 6(99 in press):1999.
26. Woodcock C.E., Strahler A.H. The factor of scale in remote sensing. Remote Sens. Environ. 21:1987;311-332.
27. Woodcock C.E., Strahler A.H., Jupp D.L.B. The use of variograms in remote sensing. I. Scene models and simulated images Remote Sens. Environ. 25:1988;323-348.