Epp, H., and R. Reed, 1986. Spruce Budworm 
Infestation Detection Using an Airborne 
Pushbroom Scanner and Thematic Mapper 
Data, in Proc., 7th ISPRS International 
Symposium, Enschede, Netherlands, Aug 
25-29, pp. 429-434. 
Gibson, J.R., 1984. Processing Stereo Imagery from 
Line Imagers, in Proc., 9th Canadian 
Symposium on Remote Sensing, St. John’s, 
Newfoundland, pp. 471-488. 
Gougeon, FA., and T. Moore, 1988. Individual 
Tree Classification Using MEIS-II 
Imagery, in Proc., 1988 IGARSS 
Symposium, Edinburgh, Scotland, Sept. 
13-16, pp. 927. 
Gower, J.F.R., GA Borstad, L.H. Gray, and H.R. 
Edel, 1987. The Fluorescence Line Imager: 
Imaging Spectroscopy Over Water and 
Land. In Proc., 11th Canadian Symposium 
on Remote Sensing, Waterloo, Ontario, 
June 22-25, pp. 689-697. 
Gower, J.F.R., 1988. Development of an Imaging 
Spectrometer for Remote Sensing: The 
FLI Programme. In Proc., ESA Workshop 
on Imaging Spectrometry for Land 
Applications, Frascati, Italy, April, 1988, 
pp. 43-45. 
Hollinger, AB., L.H. Gray, J.F.R. Grower, and 
H.R. Edel, 1987. The Fluorescence Line 
Imager: An Imaging Spectrometer for 
Ocean and Land Remote Sensing, SPIE 
Vol. 834, Imaging Spectroscopy II, pp. 
2-11. 
Kneppeck, I.D., and F.J. Ahern, 1989. A 
Comparison of Images from a Pushbroom 
Scanner with Normal Color Aerial 
Photographs for Detecting Scattered 
Recent Conifer Mortality, Photogrammetric 
Engineering and Remote Sensing, 55:3, 
pp. 333-337. 
Kneppeck, I.D., and FJ. Ahem, 1987. Evaluation 
of a Multispectral Linear Array Sensor for 
Assessing Juvenile Stand Conditions, in 
Proc., 21st International Symposium on 
Remote Sensing of Environment, Ann 
Arbor, Michigan, Oct. 26-30, pp. 955-969. 
Leckie, D.G., and A Dombrowski, 1984. 
Enhancement of High Resolution ME IS II 
Data for Softwood Species Discrimination, 
in Proc., 9th Canadian Symposium on 
Remote Sensing, St. John’s, Newfoundland, 
Aug. 14-17, pp. 617-626. 
McColl, W.D., RA Neville, and S.M. Till, 1983. 
Multi-Detector Electro-Optical Imaging 
Scanner MEIS II, in Proc., 8th Canadian 
Symposium on Remote Sensing, Montreal, 
Quebec, May 3-6, pp. 71-79. 
McColl, W.D., S.M. Till, and RA. Neville, 1984. 
MEIS II Operational Sensor for 
Multidisciplinary Applications, In proc., 
9th Canadian Symposium on Remote 
Sensing, St. John’s, Newfoundland, August 
14-17, pp. 497-506. 
Miller, J.R., M. Boyer, E.W. Hare, M. Belanger, J. 
Wu, AB. Hollinger, and D.R. Sturgeon 
1986. Analysis of FLI Vegetation 
Reflectance Red Edge Data, in Proc., FLI 
Workshop on High Spectral Resolution 
Imaging for Land and Ocean Remote 
Sensing, Ottawa, Oct 14-17. 
Neville, R.A,and, S.M. Till, 1989. MEIS FM: A 
Multispectral Imager for Forestry and 
Mapping, in Proc., 1989 IGARSS 
Symposium, Vancouver, B.C., July 10-14, 
pp. 2390-2393. 
Robertson, S.L., and R.K. Nesby, 1986. TM and 
MEIS Data for Future Aberta Forest 
Inventories, in Proc., 10th Canadian 
Symposium on Remote Sensing, 
Edmonton, Aberta, May 5-8, pp. 997-1000. 
Rock, B.N., T. Hoshizaki, and J.R. Miller 1988. 
Comparison of In Situ and Arbome 
Spectral Measurements of the Blue Shift 
Associated with Forest Decline. Remote 
Sensing of Environment, Vol. 24, pp. 
109-127. 
Till, S.M., R.A Neville, D.G. Leckie, and W.M. 
Strome, 1987. Advanced Arbome 
Electro-Optical Imager, in Proc., 21st 
International Symposium on Remote 
Sensing of Environment, Ann Abor, 
Michigan, Oct. 26-30, pp. 41-47. 
Till, S.M., RA Neville, W.D. McColl, and R.P. 
Gauthier, 1986a. The MEIS II Pushbroom 
Imager - Four Years of Operation, in 
Proc., ISPRS Symposium, Progress in 
Imaging Sensors, Stuttgart, Germany, 
Sept. 1-5, pp. 247-253. 
Till, S.M., W.D. McColl, and RA. Neville, 1986b. 
CCRS Arbome Electro-Optical Facility, in 
Proc., 10th Canadian Symposium on 
Remote Sensing, Edmonton, Aberta, May 
5-8, pp. 497-503. 
Till, S.M., 1987. Arbome Electro-Optical Sensors 
for Resource Management, Geocarto 
International, Vol. 3, pp. 13-23. 
Zwick, H.H., J.N. de Villiers, and W.D. McColl, 
1978. Laboratory Evaluation of the 
Prototype MEIS. Report 78-5, Canada 
Centre for Remote Sensing, Department of 
Energy, Mines and Resources, Ottawa. 
392