Mediterranean vegetation analysis by multi-temporal satellite sensor data

International Journal of Remote Sensing

Volumn 18, Issue 6, 1997, Pages 1307-1318

  Grignetti, A ^a   Salvatori, R ^b   Casacchia, R ^b   Manes, F ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b NONE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COASTAL ZONES; IMAGE ANALYSIS; MULTISPECTRAL SCANNERS; PATTERN RECOGNITION; SENSOR DATA FUSION;

MULTITEMPORAL THEMATIC MAPPER (TM) IMAGES; VEGETATED COASTAL AREA;

REMOTE SENSING;

CLASSIFICATION; COASTAL ZONE; REMOTE SENSING; SATELLITE IMAGERY; SATELLITE SENSOR; SPATIAL RESOLUTION; SPECTRAL DATA; VEGETATION; VEGETATION CLASSIFICATION;

MEDITERRANEAN;

EID: 0031115515     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311697218430     Document Type: Article

References (18)

1. AA. VV., 1988, CARTA DELLE LITOFACIES DEL LaZIO-AbRUZZO ED AREE LIMITROFE CON NOTE ILLUSTRATIVE. CNR PROGETTO FINALIZZATO ‘GEODINAMICA’, 5.
2. Blasi, C., 1994, Fitoclimatologia del Lazio. (Roma: Regione Lazio, Ass. Agricoltura-Foreste, and Università di Roma ‘La Sapienza’).
3. Bruno, F., 1980, Carta della vegetazione della Tenuta di Castelporziano. CNR Programma finalizzato ‘Promozione della qualita dell’ambiente’, AQ/1/36.
4. Carper, W. J., Lillesand, T. M. and Kiefer, R. W., 1990, The use of Intensity-Hue-Saturation transformation for merging SPOT Panchromatic and multispectral image data. Photogrammetric Engineering &Remote Sensing, 54, 459-467.
5. C ASACCHIA, R., Grignetti, A., M ânes, F., Picchiotti, A. and Salvatori, R., 1994, Studio multitemporale della vegetazione mediterranea mediante immagini Landsat TM e SPOT-P. Atti del VI Convegno Nazionale A.I.T., Roma, 1-4 March 1994, pp. 135-138.
6. Chavez, P. S., 1992, Comparison of spatial variability in visible and near-infrared spectral images. Photogrammetric Engineering &Remote Sensing, 58, 957-964.
7. Chavez, P. S., Sides, S. C., and Anderson, J. A., 1991, Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT Panchromatic. Photogrammetric Engineering &Remote Sensing, 57, 295-303.
8. Cherrill, A. J., Lane, A., and Fuller, R. M., 1994, The use of classified Landsat-5 Thematic Mapper imagery in the characterization of landscape composition: a case study in northern England. Journal of Environmental Management, 40, 357-377.
9. CONGALTON, R. G., 1991, A review of assessing the accuracy of classification of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
10. Fuller, R. M., G room, G. B., and Jones, A. R., 1994, The land cover map of Great Britain: an automated classification of Landsat Thematic Mapper data. Photogrammetric Engineering &Remote Sensing, 60, 553-562.
11. Fung, T., and C han, K., 1994, Spatial composition of spectral classes: a structural approach for image analysis of heterogeneous land-use and land-cover types. Photogrammetric Engineering &Remote Sensing, 60, 173-180.
12. Grasso, D. N., 1993, Applications of the IHS color transformations for 1:24,000-scale geologic mapping: a low cost SPOT alternative. Photogrammetric Engineering &Remote Sensing, 59, 73-80.
13. Grignetti, A., 1995, Caratterizzazione fisionomico-strutturale della vegetazione in ambiente mediterraneo mediante dati telerilevati da satellite. PhD thesis, University of Rome ‘La Sapienza’, p. 147.
14. Karteris, M. A., 1990, The utility of digital Thematic Mapper data for natural resources classification. International Journal of Remote Sensing, 11, 1589-1598.
15. Ma, Z., and Redmond, R. L., 1995, Tau coefficients for accuracy assessment of classification of remote sensing data. Photogrammetric Engineering &Remote Sensing, 61, 435-439. Mooney, H. A., 1986, Photosynthesis. In Plant Ecology, edited by M.J. Crawley (London: Blackwell Sci. Pub.), pp. 345-373.
16. Muneohika, C. K., Warniok, J. S., Salvaggio, C., and Schott, J. R., 1993, Resolution enhancement of multispectral image data to improve classification accuracy. Photogrammetric Engineering &Remote Sensing, 59, 67-72.
17. Schriever, J. R., and Congalton, R., 1995, Evaluating seasonal variability as an aid to cover-type mapping from Landsat Thematic Mapper data in the northeast. Photogrammetric Engineering &Remote Sensing, 61, 321-327.
18. Story, M., and Congalton, R., 1986, Accuracy assessment: a user’s perspective. Photogrammetric Engineering &Remote Sensing, 52, 397-399.