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Using UAV Imagery for Crop Analytics
A. Coates, C. Adams
Harris Geospatial Solutions, Inc. Broomfield, CO

UAV imagery was collected in April and July of 2017 over a grape vineyard in California’s San Joaquin Valley. Using spectral signatures, a landcover classification was performed to isolate table grapes from the background vegetation and soil. A novel vegetation index was developed based off the unique spectral characteristics of the yellowing effects of chlorosis within the table grape vines. Spatial statistics were run only on the pixels containing grape plants, and a relative vegetation health map was produced, using both the novel vegetation index and NDVI. Several regions within the map were identified as areas of interest and marked for further analysis. Automated temporal analysis showed that these areas of interest were in fact underperforming throughout the growing season. Field measurements later confirmed that these areas were suffering from a potassium deficiency. It was also shown that using a simple vegetation index, like NDVI, alone could not locate these anomalous areas even though it was present and measurable within the data.

Keyword: Remote Sensing, Multispectral, MicaSense, Spectral, ENVI, Multi-Temporal, Anomaly, Grapes, Vineyard, UAV, Drone, UAS, Hotspot, Spatial