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8. Reports

Overview​

The Reports module is used to generate, review, and export analytical metrics derived from classification results These metrics can be generated once and reused, bundled across multiple study areas, and exported for downstream use in TytonIQ.

Key Features​

  • Metric Generation: Calculate analytical metrics from classification outputs.
  • Metric Reuse: Select previously generated metrics without reprocessing.
  • Multi-Study Area Support: Include one or more study areas in a single report.
  • Unified Reporting: Manage all outputs from a single report context.
  • TytonIQ Export: Export report outputs as a TytonIQ-ready ZIP package.

Step-by-Step Workflow​

1. Open the Reports Panel​

  • In your project, click the "Reports" button from the Wizard Bar.

2. Select Capture​

  • Choose the imagery capture to use as the basis for analysis.
  • The selected capture determines the available classifications and study areas.

3. Select Study Area(s)​

  • Select one or more study areas to include in the report.
  • Multiple study areas can be grouped into a single report for consolidated analysis.

4. Select Classification​

  • Choose the classification result to analyse.
  • Metrics will be generated or selected based on this classification.

5. Select Metrics Type​

  • Choose how metrics are added to the report:
    • Generate Metrics to calculate new metrics, or
    • Select Existing Metrics to reuse metrics generated previously.

Reusing metrics avoids unnecessary processing and speeds up report creation.

Available Metrics

Available metrics depend on imagery inputs and project configuration.
Each metric requires specific data bands and produces defined outputs within the Report module.

1. Flora / Vegetation Cover​

Required Input

  • Classified raster output (trained model results)

Generated Metrics

  • Percentage cover of each classification class within the selected Study Area
  • Area (m² / ha) per class
  • Graph and table view outputs
  • Exportable as .csv or .png

Description Summarises the spatial distribution and proportional cover of classified vegetation types within a Study Area.

2. Plant Health (Vegetation MSAVI)​

Required Input

  • MSAVI band (Modified Soil Adjusted Vegetation Index)

Generated Metrics

  • Mean MSAVI value per classification class within the selected Study Area
    (e.g. Hummock, Shrub, Tree, Tussock)
  • Overall average MSAVI across the Study Area
  • Graph and table view outputs
  • Exportable as .csv or .png

Notes

  • When multiple polygons are included in a Study Area, averaged values may be skewed.
  • For the most representative results, select an individual polygon.

Description Quantifies vegetation condition using MSAVI, aggregated by classification class and Study Area.

3. Bare Areas​

Required Input

  • Classified raster output (Bare / Not Bare class)

Generated Metrics

  • Total bare area (m² / ha) per Study Area
  • Percentage cover of bare ground
  • Graph and table view outputs
  • Exportable as .csv or .png

Description Identifies and quantifies areas with minimal or no vegetation cover.

4. Erosion​

Required Input

  • Erosion classification output
  • DSM or GSM band (for depth extraction)

Generated Metrics

Per erosion feature:

  • Length
  • Area
  • Volume
  • Maximum depth
  • Mean depth
  • Median depth
  • Width statistics

Aggregated Outputs:

  • Graph distributions (depth, width, volume)
  • Table view per feature
  • Exportable as .csv, .png, Shapefile, or FlatGeobuf

Description Calculates geometric and volumetric properties of detected erosion features using surface elevation data.

Viewing Report Outputs​

Once metrics are generated or selected, reports display outputs using charts and tables, including:

  • Class coverage summaries
  • Area-based metric breakdowns
  • Comparative results across study areas

Reports can be edited, updated, and re-exported as required.

Multi-Study Area Reporting​

Reports support grouping multiple study areas within a single report. Metrics are calculated per study area while remaining part of the same report context.

This approach simplifies reporting for large sites and projects with multiple monitoring zones.

Exporting Reports to TytonIQ​

Reports can be exported as a ZIP package structured for use in TytonIQ.

The export includes:

  • Metadata describing the capture, study areas, and classifications
  • Metric outputs in machine-readable formats
  • Associated summary data and charts

This enables a consistent and efficient handover from TytonAI into TytonIQ for dashboards, analysis, and reporting.

Best Practices​

  • Reuse existing metrics where possible to reduce processing time.
  • Group related study areas into a single report for consolidated outputs.
  • Create separate reports for different monitoring periods to support comparison over time.
  • Use the TytonIQ export to streamline downstream configuration.
tip
  • Use the DSM Band for accurate elevation-based plant segmentation.
  • Adjust the radius in Bare Areas based on expected vegetation gaps.
  • Exclude non-vegetation classes in Plant Health to avoid false scoring.
  • Use reports over time to monitor vegetation change or degradation.