Evaluating the Classification Accuracy of Specialty Crops in California Using 22m Disaster Monitoring Constellation Imagery Compared to 30m Imagery Audra Zakzeski National Agricultural Statistics Service - Nass - Document - PDFSEARCH.IO

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	Evaluating the Classification Accuracy of Specialty Crops in California Using 22m Disaster Monitoring Constellation Imagery Compared to 30m Imagery Audra Zakzeski National Agricultural Statistics Service Add to Reading List Document Date: 2013-04-08 08:30:04 Open Document File Size: 2,06 MB Share Result on Facebook Country United States / / Organization Imagery Audra Zakzeski National Agricultural Statistics Service / / SocialTag Computer graphics Image processing Pixel Engineering Technology Photogrammetry American Society for Photogrammetry and Remote Sensing Remote sensing

Evaluating the Classification Accuracy of Specialty Crops in California Using 22m Disaster Monitoring Constellation Imagery Compared to 30m Imagery Audra Zakzeski National Agricultural Statistics ServiceAdd to Reading List