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Health Grids

PLant Heath grids

Overview​

The Health Grids module in TytonIQ offers a granular, cell-by-cell view of vegetation composition and structural data within a defined monitoring zone. This feature supports fine-scale ecological analysis, restoration monitoring, and decision-making at the sub-zone level by dividing areas into uniform grid cells.

Interface Description​

The Health Grids interface overlays a grid across the selected zone, with each cell representing a discrete unit of analysis. Selecting a cell highlights it in blue and reveals associated metrics in the panel and data table below.

Key Interface Components:​

  • Grid Overlay: Displays cell boundaries over the base imagery to segment the health zone.
  • Highlighting: Selected cells are outlined in blue for clear identification.
  • Data Table: Lists metrics by cell name (e.g., AA115, AA116), updating dynamically based on grid selection.
  • Side Panel Summary: Shows a quick summary of vegetation and structural cover for the active cell.
  • Classification Layers: Toggling different classification types updates cell coloring based on selected vegetation categories.

Columns and Data Fields​

Each grid cell row in the table includes:

  • Cell Name: Unique identifier for the cell (e.g., AA115).
  • Total Vegetation %: Proportion of the cell covered by vegetation.
  • Water %, Ground %, Tree %, Shrub %: Custom class percentages relevant to the monitoring site.
  • User-defined Vegetation Types (e.g., Eucalyptus spp., M. argentea, Typha spp.): Fully configurable per project.
  • GDV Canopy Area (m²): Total canopy surface area.
  • GDV Mean Diameter (m): Average canopy diameter within the cell.
  • GDV Max Diameter (m): Largest single canopy diameter observed.
  • GDV Mean Height (m): Average vegetation height.
  • GDV Max Height (m): Tallest vegetation detected.

Functionality​

  • Cell Selection: Clicking on a grid cell displays detailed metrics specific to that location.
  • Dynamic Updates: Selecting different classifications changes the cell coloring to match classification-specific color schemes.
  • Layer Controls: Enable or disable classifications like Water, Ground, Trees, or custom vegetation types.
  • Visual Syncing: The Layers panel provides context to the visible classification color schemes.
  • Export Options: Data for health grids can be exported in CSV or shapefile format for external use.

Example Use Cases​

  • Monitoring canopy recovery in targeted restoration areas.
  • Comparing vegetation density between different cells for localised intervention.
  • Mapping invasive species or bare areas at high spatial resolution.
  • Tracking change over time by comparing metrics across survey dates.

Conclusion​

Health Grids enable high-resolution ecological insights at the cell level, providing essential detail for localised vegetation assessments and restoration planning. With flexible classification, customizable outputs, and visual overlays, the module is a key tool for precise environmental monitoring within TytonIQ.