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Health Zones

Overview​

The Health Zones module in the TytonIQ platform delivers spatially rich insights into vegetation structure, canopy dimensions, and land health classifications across designated monitoring zones. This interface supports detailed comparison of ecological metrics between zones, enhancing landscape assessment and rehabilitation planning.

Interface Description​

The Health Zones view consists of a geospatial map and a synchronised data table, both of which dynamically reflect the selected site and survey date.

Key Interface Components:​

  • Map Layer Controls: Toggle visibility of data layers such as Plant Health, Site Zones, Vegetation Grids, Classification Types (Ground, Water, Individual Trees), and Aerial Imagery.
  • Interactive Tabs: Includes Structure, Condition, and Allometric tabs. Each tab activates a different set of data layers and visual styles on the map, allowing users to focus on structural composition, ecological health, or biological traits.
  • Zone Highlighting: Boundaries and health grids display real-time updates based on selected classification.
  • Export Option: Download data tables in structured formats for reporting or offline analysis.

Structure Metrics​

The Structure tab provides a spatial breakdown of vegetation types within the survey zone. When selected, this tab activates a classification-specific color grid overlay that visually differentiates vegetation cover types.

TytonIQ allows organisations to define their own classification types, which may include categories such as shrubland, tree cover, water bodies, or specific grass types. These are displayed both in the sidebar and as selectable items in the structure dropdown menu.

Selecting a classification type in this view:

  • Updates the grid cells to display the distribution and dominance of that class using its associated color.
  • Visually emphasises structural differences across the landscape.
  • Supports comparative analysis of coverage across zones.

This feature is valuable for ecological modeling, species habitat mapping, and land use monitoring, particularly when evaluating vegetation complexity and spatial arrangement.

Allometric Metrics​

In ecology, allometry refers to the study of how the size of an organism or its parts influences physiological and structural traits.

Tyton EIS calculates allometric values using remote sensing. Activating the Allometric tab reveals:

  • GDV Canopy Area (m²): Total surface area of canopy.
  • GDV Mean Diameter (m): Average canopy width.
  • GDV Max Diameter (m): Largest observed canopy width.
  • GDV Mean Height (m): Average height of vegetation.
  • GDV Max Height (m): Tallest vegetation point detected.

These metrics help assess biomass distribution, habitat layering, and forest structure.

Condition Metrics​

Condition refers to the health status of vegetation based on spectral indices and field-observable traits.

The Condition tab in Tyton EIS uses vegetation indices such as MSAVI (Modified Soil Adjusted Vegetation Index) to identify:

  • Vegetation vigor across various user-defined classes (e.g., tree health, shrub density, aquatic cover).
  • Areas of degradation or invasive species through customised class overlays.

This data supports conservation planning, rehabilitation monitoring, and adaptive land management.

Columns and Data Fields​

Zone-Level Metrics​

  • Name: Label for each health zone.
  • Total Vegetation %: Overall vegetation coverage.
  • Water %: Presence of water within the zone.
  • Ground %: Bare or exposed ground percentage.
  • Classified Vegetation Types %: Custom vegetation classes configured by the user (e.g., different grass forms, shrubs, aquatic species, or tree categories). These values are fully configurable and vary depending on the ecosystem and customer goals.
  • Filtering: By zone name, vegetation class, or survey date.
  • Tab Switching: Selecting Structure, Condition, or Allometric tabs updates the grid colorations and data fields in real time.
  • Health Grids: Grid-by-grid inspection of spatial attributes.
  • Data Sorting: All columns are sortable for targeted analysis.
  • Export Tools: Export zone summaries and structural reports for use in GIS systems or documentation workflows.

Conclusion​

The Health Zones interface in TytonIQ provides modular and flexible environmental insights tailored to the user’s ecological or operational focus. The ability to dynamically switch between Structure, Condition, and Allometric perspectives makes it an indispensable tool for integrated landscape monitoring, restoration planning, and scientific reporting.