Remote sensing for developing world agriculture: opportunities and areas for technical development
Author(s)Jeunnette, Mark; Hart, Douglas
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A parameterized numerical model is constructed to compare platform options for collecting aerial imagery to support agriculture electronic information services in developing countries like India. A sensitivity analysis shows that when Unmanned Aerial Vehicles, UAVs, are limited in flight altitude by regulations, the velocity and altitude available to manned aircraft lead to a lower cost of operation at altitudes greater than 2000ft above ground level, AGL. If, however, the UAVs are allowed to fly higher, they become cost-competitive once again at approximately 1000ft AGL or higher. Examination of assumptions in the model highlights two areas for additional technology development: baseline-dependent feature-based image registration to enable wider area coverage, and reflectance reconstruction for ratio-based agriculture indices.
DepartmentMassachusetts Institute of Technology. Department of Mechanical Engineering
Proceedings Volume 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII
Jeunnette, Mark N., and Douglas P. Hart. "Remote Sensing for Developing World Agriculture: Opportunities and Areas for Technical Development." Proceedings Volume 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, 26-29 September, 2016, Ediburgh, United Kingdom, edited by Christopher M. U. Neale and Antonino Maltese, SPIE, 2016, p. 99980Y. © 2016 SPIE.
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