Quadrat is a lightweight, browser-based tool for grid-based annotation of quadrat images.
It provides a digital alternative to traditional field quadrats for quantifying plant cover and abundance from photographs.
The application runs entirely in the browser. No installation, sign-in, or server connection is required.
Quadrat is designed to simplify image-based cover estimation while maintaining transparency and reproducibility. Images collected in the field can be re-analyzed at any time, and labeled datasets (including grid configuration and label metadata) can be exported as part of project documentation.
Quadrat does not replace field research. Images represent a static view of the system, and some organisms may be difficult to identify from photographs alone.
- Adjustable grid (rows and columns)
- Uniform grid across all images in a session
- Click-based cell classification
- One label per cell (mutually exclusive)
- Custom labels with user-defined colors and descriptions
- Prevention of duplicate label names (case-insensitive)
- Prevention of duplicate colors (exact match)
- Multiple image session support
- Thumbnail navigation with previous/next controls
- Strict enforcement of consistent image dimensions within a session
- No image resizing or automatic scaling
- Export session data as JSON
- Local-only processing (no data uploaded or shared)
MIT License
For feedback or research/teaching use cases, contact:
andrespatrignani@ksu.edu