Remote predictive mapping 1. Remote predictive mapping (RPM): A strategy for geological mapping of Canada's North

Geoscience Canada

Volumn 34, Issue 3-4, 2007, Pages 93-111

  Schetselaar, E M ^a   Harris, J R ^a   Lynds, T ^a   De Kemp, E A ^a  

^a GEOLOGICAL SURVEY OF CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL PHOTOGRAPHS; EXPLORATION PROJECTS; FIELD-BASED DATA; FIRST-ORDER; GEOLOGIC MAPPING; GEOLOGICAL MAP; GEOLOGICAL MAPPING; GEOLOGICAL SURVEY OF CANADA; GEOPHYSICAL DATA; GEOSCIENCE DATA; GEOSCIENCES; INTEGRAL PART; PREDICTIVE MAPPING; REMOTELY SENSED DATA; WORK-FLOWS;

GEOGRAPHIC INFORMATION SYSTEMS; GEOLOGICAL SURVEYS; GEOLOGY; INTEGRATION; MAGNETIC STORAGE; PHOTOGRAPHY; REMOTE SENSING; SATELLITE IMAGERY;

MAPPING;

AERIAL PHOTOGRAPH; EXPLORATION; FIELD SURVEY; GEOLOGICAL MAPPING; GEOLOGICAL SURVEY; GIS; LABORATORY METHOD; REMOTE SENSING; SATELLITE IMAGERY;

CANADA; NORTH AMERICA;

EID: 70349221278     PISSN: 03150941     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Ahlqvist, O., and Gahegan, M., 2005, Probing the relationship between classification error and class similarity: Photogrammetric Engineering and Remote Sensing, v. 71, no.12, p. 1365- 1373.
2. Drury, S.A., 2001, Image Interpretation in Geology, 3rd edition: Cheltenham, UK. Nelson Thornes. Maiden, MA. Black- well Science, 304 p.
3. Franklin, U, 2001, The Real World of Technology: Canada, Anansi Press, 209 p.
4. Gillespie, A. R., Kahle, A. B., and Walker, R.E., 1986, Colour enhancement of highly correlated images. I. Decorrela- tion and HSI contrast stretches: Remote Sensing of the Environment, v. 20, p. 209-235
5. Harris, J.R., Viljoen, D., and Rencz, A., 1999, Integration and Visualization of Geoscience Data, in Rencz, A., ed., Remote Sensing for the Earth Sciences, Chapter 6, Manual of Remote Sensing, rd edition, v. 3: John Wiley and Sons Inc, New York, p. 307-354
6. Harris, J.R., 1989, Clustering of Gamma Ray Spectrometer Data Using a Computer Image Analysis System, in Agter- berg F.P. and Bonham-Carter, G.F. eds., Statistical Applications in the Earth Sciences; Geological Survey of Canada, Paper 89-9, p. 19-32
7. Henderson, J.A., 1987, Geology of southeastern Melville Peninsula, District of Franklin, Northwest Territories, Geological Survey of Canada Map 1655A, 1:100,000 scale
8. Jolliffe, I. T, 2004, Principal Component Analysis, 2nd edition: Springer series in Statistics, New York, 486 p.
9. Kruse, E, and Raines, G, 1994, A technique for enhancing digital color images by contrast stretching in Mun- sell color space, in Proceedings of the ERIM Third Thematic Conference, Environmental Research Institute of Michigan, Ann Arbor, MI, p. 755 -760
10. Lillesand, T. M. and Kieffer R.W., 2000, Remote Sensing and Image Interpretation, 4th edition; John Wiley and Sons Inc., New York, 724 p.
11. Milligan, P.R. and Gunn, PJ., 1997, Enhancement and presentation of airborne geophysical data: AGSO Journal of Australian Geology & Geophysics, v. 17, No.2, p. 63-75.
12. Richards, J.A. andjia, X., 2006, Remote Sensing Digital Image Analysis: An Introduction, 4th edition: Springer, New York, 439 p.
13. Schetselaar, E.M., 2000, Integrated analyses of granite - gneiss terrain from field and multisource remotely sensed data: a case study from the Canadian Shield. Enschede, ITC, 2000. ITC Dissertation 73, 269 p. ISBN: 90-6164-180-2.
14. Schetselaar, E.M., Chung C.F. and Kim K., 2000, Classification of bedrock units in vegetated granite-gneiss terrain by the integration of airborne geophysical images and primary field data: Remote Sensing of Environment, v. 71, 89-105 p.
15. Schilling, M., 2007, Strategic Management of Technological Innovation: Singapore, McGraw-Hill Education, 312 p.