Remote sensing of salt marsh vegetation in the first four proposed thematic mapper bands

International Journal of Remote Sensing

Volumn 3, Issue 2, 1982, Pages 147-161

  Budd, J T C ^a   Milton, E J ^b  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

REMOTE SENSING;

EID: 0020375264     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431168208948388     Document Type: Article

References (18)

1. BARTLETT, D. S., and KLEMAS, V., 1979, Assessment of tidal wetland habitat and productivity. Proceedings of the Thirteenth International Symposium on Remote Sensing of the Environment, Ann Arbor, Michigan, U.S.A.
2. BARTLETT, D. S., and KLEMAS, V., 1980, Quantitative assessment of tidal wetlands using remote sensing. Environ. Mgmt, 4, 337.
3. CARTER, V., and SCHUBERT, J., 1973, Coastal wetlands analysis from ERTS MSS digital data and field spectral measurements. Proceedings of the Ninth International Symposium on Remote Sensing of the Environment, Ann Arbor, Michigan, U.S.A., pp. 1241-1260.
4. COLWELL, J. E., 1974, Grass canopy bidirectional spectral reflectance. Proceedings of the Tenth International Symposium on Remote Sensing of the Environment, Ann Arbor, Michigan, U.S.A., pp. 1061-1085.
5. CRAIN, I. K., 1974, The statistics of ERTS MSS imagery. Proceedings of the Second Canadian Symposium on Remote Sensing, pp. 226-236.
6. DRAKE, B. G., 1976, Seasonal changes in reflectance and standing crop biomass in three salt marsh communities. Plant Physiol., 58, 696.
7. HUBBARD, J. C. E., and GRIMES, B. H., 1974. Coastal vegetation surveys. In Environmental Remote Sensing, edited by E. C, Barrett and L. F, Curtis (London: Edward Arnold), pp. 129-141.
8. MHREMBECK, B. F., and TURNER, B. J., 1980, Directed canonical analysis and the performance of classifiers under its associated linear transformation. LE.E.E. Trans. Geosci. remote Sensing, GE-18, 190.
9. Milton, E. J., 1980, A portable multiband radiometer for ground data collection in remote sensing. Int. J. remote Sensing, 1, 153.
10. PEARSON, R. L., and MILLER, L. D., 1972, Remote mapping of standing crop biomass for estimation of the productivity of the shortgrass prairie. Proceedings of the Eighth International Symposium on Remote Sensing of the Environment, Ann Arbor, Michigan, U.S.A., pp. 1355-1379.
11. ROBINSON, B. F., and BIEHL, L. L., 1979, Measurement of Optical Radiations. Measurement of Optical Radiations, SPIE, Vol. 196, pp. 16-26.
12. ROUSE, J. W., HAAS, R. H., SCHELL, J. A., and DEERING, D. W., 1973, Monitoring vegetation systems in the great plains with ERTS. Proceedings of the Third ERTS Symposium, NASA SP-351, Vol. 1,pp. 309-317.
13. SALOMONSON, V. V., and Park, A. B., 1979, An overview of the Landsat-D project with emphasis on the flight segment. Proceedings of Symposium on Machine Processing of Remote Sensed Data, Purdue University, pp. 2-11.
14. SEAL, H. L., 1964, Multivariate Statistical Analysis for Biologists (London: Methuen).
15. TUCKER, C. J., 1978, An evaluation of the first four Landsat-D Thematic Mapper reflective sensors for monitoring vegetation: a comparison with other satellite sensor systems. NASA Technical Memo, 79617, GSFC.
16. TUCKER, C. J., 1979, Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing Environ., 8, 127.
17. TUCKER, C. J., and MAXWELL, E. L., 1976, Sensor design for monitoring vegetation canopies. Photogramm. Engng Remote Sensing, 42, 1399.
18. WOOLLEY, J. T., 1971, Reflectance and transmittance of light by leaves. Plant Physiol., 47, 656.