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Title: MADMAC: A TEST OF MULTISPECTRAL AIRBORNE IMAGERY AS A FARM MANAGEMENT TOOL

Author
item Moran, Mary
item Clarke, Thomas
item Qi, Jiaguo
item Pinter Jr, Paul

Submitted to: Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/4/1996
Publication Date: N/A
Citation: N/A

Interpretive Summary: The use of airborne imagery as an aid to managing farm resources has been suggested for over a decade. With recent developments in commercially-available imaging cameras and improvements in computer capabilities, this concept is ready for implementation. To test the potential for the use of airborne multispectral imagery for farm management applications, an experiment (termed MADMAC) was conducted to acquire a season-long set of high-resolution video images over an agricultural area with detailed supporting ground measurements. Analysis of these images has resulted in production of maps of soil and vegetation conditions for farm monitoring and potential resource management. The results of this experiment will yield new possibilities for the use of airborne imagery for site-specific agricultural activities on the farm.

Technical Abstract: An experiment called the Multispectral Airborne Demonstration at Maricopa Agricultural Center (MADMAC) was conducted to test the potential of airborne multispectral imagery for farm management application. Results presented here address image pre-processing algorithms, value-added products, and proposals for future direction.