Case Study: Optical Remote Sensing of Sugarcane Development
Remote sensing is an effective tool for monitoring crop health and development when extensive field studies are not feasible. Using remote sensing to monitor development stages throughout the growing season (also called phenology) can help provide better estimates of productivity, yield forecasts, and biomass.
There has been a growing interest in remote sensing applications for sugarcane research in recent years.
Download this white paper to see examples of using optical remote sensing to study sugarcane phenology in Southeast Florida. It covers:
- Sugarcane development stages
- Spectral properties of the sugarcane plant and what vegetation indices are commonly used to access sugarcane health and productivity
- Example of using ENVI software to create spectral index images of sugarcane fields from RapidEye multispectral data
- Example of creating image classification maps of sugarcane development stages
- Example of using the Hotspot Analysis tool (available in the ENVI Crop Science platform) to reveal patterns of vegetation health over time