Crop Classification and Area Estimation Using Airborne Multispectral Video/Radiometer Remote Sensing

by Rashid H. Ahmed, Utah State Univ, Logan, United States,
Christopher M. U. Neale, Utah State Univ, Logan, United States,

Document Type: Proceeding Paper

Part of: Irrigation and Drainage: Saving a Threatened Resource—In Search of Solutions


The U.S. Agricultural Stabilization and Conservation Service (ASCS) in Logan, Utah, combines color slide 35 mm aerial photography with color video imagery to perform routine (yearly) crop classification and land-cover mapping in Cache Valley. The classification can not be completed solely with the images acquired by aerial photography and the broad visible band video imagery. The process requires considerable effort and time. It was deemed worthwhile to investigate the feasibility of using digital multispectral video imagery from the USU system to classify crops and estimate land-cover through digital image processing within a GIS framework. This paper describes the methodology and some preliminary results.

Subject Headings: Crops | Computer vision and image processing | Sensors and sensing | Aerial photography | Geographic information systems | Agriculture | Mapping | Feasibility studies | Utah | United States

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