Indian Ocean tsunami: The use of MERIS (MTCI) data to infer salt stress in coastal vegetation

International Journal of Remote Sensing

Volumn 28, Issue 3-4, 2007, Pages 729-735

  Curran, P J ^a   Dash, J ^b   Llewellyn, G M ^b  

^a BOURNEMOUTH UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHLOROPHYLL; RADAR IMAGING; SALINE WATER; SPECTROMETERS; TSUNAMIS; VEGETATION;

MEDIUM RESOLUTION IMAGING SPECTROMETER; SALT STRESS;

REMOTE SENSING;

CANOPY REFLECTANCE; CHLOROPHYLL; ENVISAT-1; IMAGE ANALYSIS; MERIS; NDVI; SATELLITE IMAGERY; SENESCENCE; SPECTRAL REFLECTANCE; TSUNAMI;

ASIA; EURASIA; INDIAN OCEAN; PHUKET [SOUTHERN REGION]; SOUTHEAST ASIA; SOUTHERN REGION; THAILAND;

EID: 33847701995     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160600821093     Document Type: Article

References (18)

1. Adger, W. N., Hughes, T. P., Folke, C., Carpenter, S. R. and Rockström, J. (2005) Social-ecological resilience to coastal disasters. Science, 309, pp. 1036-1039.
2. (1899)
3. Curran, P. J. (2001) Imaging spectrometry for ecological applications. International Journal of Applied Earth Observation and Geoinformation, 3, pp. 305-312.
4. Curran, P. J., Windham, W. R. and Gholz, H. L. (1995) Exploring the relationship between reflectance red edge and chlorophyll concentration in slash pine leaves. Tree Physiology, 15, pp. 203-206.
5. Dash, J. and Curran, P. J. (2004) The MERIS Terrestrial Chlorophyll Index. International Journal of Remote Sensing, 25, pp. 5003-5013.
6. Datt, B. (1998) Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a+b and total carotenoid content in Eucalyptus leaves. Remote Sensing of Environment, 66, pp. 111-121.
7. Dawson, T. P., Curran, P. J. and Plummer, S. E. (1998) LIBERTY - Modelling the effects of leaf biochemical concentration on reflectance spectra. Remote Sensing of Environment, 65, pp. 50-60.
8. Farr, T. G. and Kobrick, M. (2000) Shuttle Radar Topographic Mission produces a wealth of data. EOS, Transactions, American Geophysical Union, 81, pp. 583-585.
9. Filella, I. and Peñuelas, J. (1994) The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. International Journal of Remote Sensing, 15, pp. 1459-1470.
10. Gitelson, A. A. and Merzlyak, M. N. (1997) Remote estimation of chlorophyll content in higher plant leaves. International Journal of Remote Sensing, 18, pp. 291-298.
11. Horler, D. N. H., Dockray, M. and Barber, J. (1983) The red edge of plant leaf reflectance. International Journal of Remote Sensing, 4, pp. 273-288.
12. Jago, R. A., Cutler, M. E. and Curran, P. J. (1999) Estimation of canopy chlorophyll concentration from field and airborne spectra. Remote Sensing of Environment, 68, pp. 217-224.
13. (1899)
14. Munden, R., Curran, P. J. and Catt, J. A. (1994) The relationship between red edge and chlorophyll concentration in the Broadbalk winter wheat experiment at Rothamsted. International Journal of Remote Sensing, 15, pp. 705-709.
15. Pinar, A. and Curran, P. J. (1996) Grass chlorophyll and the reflectance red edge. International Journal of Remote Sensing, 17, pp. 351-357.
16. Space UK (2005) Satellites respond to disaster relief. SPACE:UK, 15, pp. 4-5.
17. (1899)
18. Vogelmann, J. E., Rock, B. N. and Moss, D. M. (1993) Red edge spectral measurements from sugar maple leaves. International Journal of Remote Sensing, 14, pp. 1563-1575.