Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-15T02:39:05.626Z Has data issue: false hasContentIssue false
  • English
  • Français

The use of aerial photography in resolving problems in agriculture

Published online by Cambridge University Press:  04 July 2016

M. A. Keech
M. A. Keech*
Affiliation:
National College of Agricultural Engineering
Get access Rights & Permissions [Opens in a new window]

Extract

The title of this presentation is, perhaps, wider than the title of the section of the symposium within which it is placed. It is intended to move from the general aspects of aerial photography and other airborne remote sensing devices to the particular aspects of pest forecasting and control using this technology.

The quality of aerial photography has doubled every 10 years since the technique was first introduced, and it is believed that this improvement may well continue for the remainder of this century. It is probable that multispectral photography and improved photographic representation of near and far infra-red imagery will greatly improve during the coming decades. As more research is done on more freely available material, so shall we find more applications for it, including, without doubt, those in the field of pest control.

Type
The role of aircraft in an agricultural strategy for the year 2000
Information
The Aeronautical Journal , Volume 84 , Issue 833 , June 1980 , pp. 141 - 143
Copyright
Copyright © Royal Aeronautical Society 1980 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Parry, D. E. Satellite imagery (Landsat) for reconnaissance scale Natural Resource mapping in Western Sudan. Unpublished PhD thesis, University of Aston in Birmingham, 1979.Google Scholar
2. Petrie, G. The status of topographic mapping from space imagery. Paper presented to the 5th Annual General Meeting of the Remote Sensing Society at the University of Durham, 1978.Google Scholar
3. Ciesla, W. M., Klein, W. H. Inventory of Bark Beetle mortality in coniferous forests with color and color I.R. photography. Proceedings of the International Symposium on Remote Sensing for Observation and Inventory of Earth Resources and the Endangered Environment, Freiburg, West Germany, Vol 3, pp 2001–2011, 1978.Google Scholar
4. Heller, R. C., Aldrich, R. C., McCambridge, W. F., Webber, F. P., Wert, S. L. The use of multispeotral sensing techniques to detect Ponderosa Pine trees under stress from insect or pathogenic organisms. Forestry Remote Sensing Laboratory, Berkeley, California for NASA, 1968.Google Scholar
5. Aldrich, R. C., Drooz, A. T. Estimated Fraser Fir mortality and Balsam Woolly Aphid infestation trend using aerial colour photography, Forest Science, Vol 13, No 3, pp 300–313, 1967.Google Scholar
6. Meyer, M. P., French, D. W. Forest disease spread. Photogrammetric Engineering. Vol 32, No 9, pp 812–814, 1966.Google Scholar
7. Williams, R. E., Leaphart, C. D. A system using aerial photography to estimate area of root disease centers in forests. Canadian Journal of Forest Research, Vol 8, No 2, pp 214–219, 1978.Google Scholar
8. Vass, p. A.; Van Genderen, J. L. Monitoring environmental pollution by remote sensing. Proceedings of The International Symposium on Remote Sensing for Observation and Inventory of Earth Resources and the Endangered Environment, Freiburg, West Germany, Vol 3, pp 2125–2142, 1978.Google Scholar
9. Keech, M. A. Mondoro Tribal Trust Land, determination of trend using air photo analysis, Rhodesian Agricultural Journal, Vol 66, pp 3–10, 1969.Google Scholar
10. Myers, V. I., Ussery, L. R., Rippert, N. J. Photogrammetry for detailed detection of drainage and salinity problems. Transactions of the American Society of Agricultural Engineers, Vol 6, No 4, pp 332–334, 1963.Google Scholar