Grapevine Phylloxera Stress Detection via Remote Sensing

1990s data from NASA Ames Research Center's GRAPES project measured the effects of phylloxera root-louse on California vineyards using remote sensing. The project correlated leaf spectral data with GIS to locate active infestations and predict future spread. It demonstrated that early, pre-visual stages of infestation may be detectable by remote sensing late in the growing season.

Use Cases

• Detect early phylloxera stress by analyzing leaf spectral signatures from CASI sensor data.
• Predict future infestation spread by correlating spectral observations with GIS location data.
• Model economic impact of infestation by linking remote sensing detection zones with potential loss estimates.
• Validate remote sensing techniques for pre-visual pest detection in perennial crops like grapevines.

Strengths

• Data is from a NASA research center project, indicating authoritative collection methods.
• Project demonstrated a practical application of remote sensing for a billion-dollar agricultural problem.

Limitations

• Data is from 1995, making it temporally stale for current modeling applications.
• Specific sample size, row count, and column details are unknown.

Provenance

Source

NASA/Ames Research Center, GRAPES Project

Collection Method

Remote sensing measurements using the CASI sensor, correlated with GIS data.

Time Range

1990s (project referenced in 1995).

Freshness

null

Geography

California vineyards.