Ratio image processing techniques: A prospecting tool for mineral deposits, Red Sea Hills, NE Sudan

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 37, Issue , 2008, Pages 1295-1298

  Elsayed Zeinelabdein, K A ^a   Albiely, A I ^b  

^a AL NEELAIN UNIVERSITY   (Sudan)

^b Omdurman Ahlia University Sudan   (Sudan)

Author keywords

Landsat; Multispectral; Ratio images; Red Sea; Sudan

Indexed keywords

DEPOSITS; GEOLOGY; GOLD; GOLD COMPOUNDS; MINERAL RESOURCES; MINERALOGY; MOON; ORE DEPOSITS; ORES; REMOTE SENSING; SULFUR COMPOUNDS; WEATHERING;

LANDSAT; MULTI-SPECTRAL; RATIO IMAGES; RED SEA; SUDAN;

IMAGE PROCESSING;

EID: 84876969921     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. DRURY, S. A. (1993): Image Interpretation in Geology. 2nd ed., - 271 pp., (Chapman and Hall), London.
2. GUPTA, R. P. (1991): Remote Springer-verlag Geology. - 356 pp., Berlin-Heidelberg (Springer).
3. HOPPIN, R. A., MANLEY, R. D.; TAPPMEYER, D. M. and VOLDSETH, N. E. (1973): Geologic interpretations of ERTS-1 Imagery, Bighorn Mountains. Contribution to Geology, vol. 12, No. 2, pp. 33-42
4. HOUSTON, R. S. (1973): Geologic Mapping Using Space Images. Contribution to geology, vol. 12, No. 2, pp. 77-97.
5. JENSEN, M. L. and BATEMAN, A. M. (1981): Economic Mineral Deposits. - 593 pp., USA (Wiley).
6. KENEA, N. H. (1997): Digital Enhancement of Landsat Data, Spectral Analysis and GIS Data Integration for Geological Studies of the Derudeb Area, southern Red Sea Hills, NE Sudan. - 116 pp., Berliner Geowiss. Abh., D 14, Berlin.
7. rd ed., - 750 pp., New York, NY (Wiley)
8. (RR1) - Roberson Research. International (1985): Recent Mineral Discoveries in the Red Sea Hills, Sudan (unpublished report).
9. nd ed., - 499 pp., San Francisco (Freeman).
10. SABINS F. F. Jr. (1978): Remote sensing principles and interpretation. - 426 pp., San Francisco (Freeman).
11. SEGAL, D. B. (1983): Use of Landsat Multispectral Scanner Data for Definition of Limonitic Exposures in Heavily Vegetated Areas. Econ. Geol., 78, pp. 711-722, EL Paso, Texas.