Datastar Stress Index (DSI)
Datastar Computational Analyst (DCA) quantifies stress information non-subjectively using the Datastar Stress Index (DSI) as a standard of measurement. The following table depicts the three-level DSI measurement definition for row crops.
Datastar Stress Index for Row Crops
Computer Generated DSI Map
Computer DSI Image
Natural Color Image
Example of DSI Imagery (Sugarcane Application)
Soil Fertility from DSI
DSI maps homogeneous areas of row crops and derives three (3) levels of implied soil fertility plus “no fertility." Soil fertility shapefile is used directly with automated ground equipment rate controllers. Recurring input costs, such as seed and nutrition, are applied most efficiently based on attributes of the shapefile.
Below is an example of a soil fertility map.
Example of Metadata from DSI
Below is an example of collected data that is used to generate maps.
Sugarcane is planted either mechanically or manually in rows, usually 60" on center. The rows are planted geometric either E-W or N-S. Since the rows are planted early in the spring and harvested from November to the following spring, this is the perfect amount of time to use DCA. April-May (early) and October-November (mature) are optimal times to collect data for DCA analysis. DCA generates objective health/stress measurements from the air from spatially accurate high-resolution imagery (100 measurements per square meter.) All snapshot and prescription products are designed with sugarcane manager input.