Visual interpretation of vegetation classes from airborne videography: An evaluation of observer proficiency with minimal training

Photogrammetric Engineering and Remote Sensing

Volumn 62, Issue 8, 1996, Pages 969-978

  Drake, Sam ^a  

^a Arizona Remote Sensing Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIRBORNE VIDEO; IMAGE INTERPRETATION; OBSERVER PROFICIENCY; PLANT COMMUNITY; TRAINING; VEGETATION CLASS; VIDEO INTERPRETATION;

EID: 0030437759     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (16)

1. Argialas, D.P., and C.A. Harlow, 1990. Computational image interpretation models: An overview and a perspective, Photogrammetric Engineering & Remote Sensing, 56(6):871-886.
2. Avery, T.E., 1985. Interpretation of Aerial Photographs, Fourth Edition, Burgess Publishing Co., Minneapolis, 324 p.
3. Brown, D.E. (editor), 1982. Biotic communities of the American southwest-United States and Mexico, Desert Plants (special is-sue), 4(1-4):1-342.
4. Campbell, D.T., and J.C. Stanley, 1963. Experimental and Quasi-Experimental Designs for Research, Houghton-Mifflin Co., Boston, 84 p.
5. Colwell, R.N., 1946. The estimation of ground conditions from aerial photographic interpretation of vegetation types, Photogrammetric Engineering, 13(2):151-161.
6. _, 1948. Aerial photographic interpretation of vegetation for military purposes, Photogrammetric Engineering, 14(4):472-481.
7. Congalton, R.G., R.G. Oderwald, and R.A. Mead, 1983. Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques, Photogrammetric Engineering & Remote Sensing, 49(12):1671-1678 (N.B. Erratum, 50(10):1477).
8. Congalton, R.G., and R.A. Mead, 1983. A quantitative method to test for consistency and correctness in photointerpretation, Photogrammetric Engineering & Remote Sensing, 49(1):69-74.
9. Estes, J., E. Hajic, and L. Tinney, 1983. Manual and digital analysis in the visible and infrared regions, Manual of Remote Sensing, Second Edition. American Society for Photogrammetry and Remote Sensing, Falls Church, Virginia, 1:987-1123.
10. Graham, L.A., 1993. Airborne video for near real-time vegetation mapping. Journal of Forestry; 91(8):28-32.
11. Julesz, B., 1975. Experiments in the visual perception of texture, Scientific American, 232(4):2-11.
12. Kalliola, R., and K. Syrjanen. 1991. To what extent are vegetation types visible in satellite imagery? Ann. Bot. Fennici, 28:45-57.
13. Klingberg. C.L., C.L. Kraft, and C.L. Elworth, 1963. A Study of Photointerpreter Performance in Change Discrimination, Rome Air Development Center. Air Research and Development Command, U.S.A.F., Griffiss Air Force Base. New York. Task #624402.
14. Loelkes, G.L., 1983. Land Use/Land Cover and Environmental Photointerpretation Keys. U.S. Geological Survey Bulletin No. 1600, 142 p.
15. Ott, L., 1988. An Introduction to Statistical Methods and Data Analysis, Third Edition, PWS-Kent Publishing Co., Boston, 945 p.
16. Quinn, A.O. (editor), 1947. Symposium of ideas relative to education in photogrammetry, Photogrammetric Engineering, 13(3):331-394.