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Product Specification

Product Name:Plot Anomaly Detection
Product SKU:71217-00
Revision Date:2024-08-20

Product Overview

Description

Plot Anomaly Detection characterizes the extent of vegetation cover to identify anomalous plots due to within-plot and between-plot spatial varaibilty. This product utilizes a precision-aligned orthomosaic derived from high-resolution RGB imagery.

Recommended Use Cases

  • Plot Quality
  • Plot Deactivation
  • Area of Interest Variability

Supported Crops

  • Any Crop

Deliverables Summary

  • Mosaic RGB Precision Aligned
  • Plot Canopy Cover with Uniformity
  • Plot Anomaly Detection

Requirements

General Requirements

  • Requires Plot Project Setup (71200-00)
  • Imagery collected following all "Data Capture Requirements"
  • Imagery uploaded to the FieldAgent Field created by Plot Project Setup (71200-00)
  • Contract Defined - Non-Mosaic Based submitted for "Plot Anomaly Detection (71217-00)" for uploaded Survey

Data Capture Requirements

Imagery Type

  • RGB

Ground Sample Distance

  • Less than 0.5cm (Early-Season Canopy Cover and Crop Emergence)
  • Less than 1.8cm (Mid- to Late- Season Canopy Cover)

Timing by Crop

Crop Timing/Growth StagePlant Size
Any CropEarly Season; Mid- to Late- SeasonAny

Flight Specifications

Early-Season Canopy Cover and Crop Emergence
SensorAltitudeSpeedOverlapFlight DirectionBufferHeadingGimbal PitchTerrain Informed
Double 4K (Ag+)50ft (16m)6mph (3m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Double 4K (Multispectral)50ft (16m)6mph (3m/s)75%Any40ft (12m)Forward-90° (Nadir)On
6X70ft (21m)6mph (3m/s)75%Any40ft (12m)Forward-90° (Nadir)On
6X Thermal70ft (21m)6mph (3m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Phantom 4 Pro50ft (16m)4mph (2m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Phantom 4 RTK50ft (16m)4mph (2m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Zenmuse X4S50ft (16m)4mph (2m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Zenmuse X5S50ft (16m)4mph (2m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Mavic 2 Pro50ft (16m)3mph (1.5m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Mavic 3 Enterprise50ft (16m)6mph (3m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Mavic 3 Multispectral50ft (16m)6mph (3m/s)75%Any40ft (12m)Forward-90° (Nadir)On
65R150ft (46m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Zenmuse P1 (35mm)100ft (30m)10mph (5m/s)75%Any40ft (12m)Forward-90° (Nadir)On
Mid- to Late- Season Canopy Cover
SensorAltitudeSpeedOverlapFlight DirectionBufferHeadingGimbal PitchTerrain Informed
Double 4K (Ag+)200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Double 4K (Multispectral)200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
6X200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
6X Thermal200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Mavic 3 Enterprise200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Phantom 4 Pro200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Phantom 4 RTK200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Zenmuse X4S200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Zenmuse X5S200ft (60m)15mph (7m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Mavic 2 Pro200ft (60m)14mph (6m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Zenmuse P1 (35mm)400ft (120m)22mph (10m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
65R400ft (120m)22mph (10m/s)75%Any40ft (12m)Forward-90° (Nadir)Off
Very small plot trials may require increased overlap, increased buffer, and/or decreased altitude to ensure a minimum of 6 flight passes over the trial.

Environmental Conditions

Lighting
Imagery should be captured between the time of 2 hours after sunrise and 2 hours before sunset. Consistent lighting conditions required for best results, including avoidance of hard shadows cast over the field which cause bright spots and dark spots in the dataset.
Wind
Wind conditions should be within the specified limits of the aircraft or system being used to carry the imaging sensor.
Precipitation
There should be no active precipitation during imagery capture.

Deliverables

Analytics

AnalyticImageryRGB
Mosaic RGB Precision Aligned (82001-01)
Plot Canopy Cover with Uniformity (83002-00)
Plot Anomaly Detection (83016-00)

Mosaic RGB Precision Aligned (82001-01)

Description

A Visual Red, Green, and Blue (RGB) multi-band mosaic provided at native resolution and georeferenced.

Deliverable List

DeliverableFormatDescription
RGB Mosaic (Preliminary)*GeoTiffVisual RGB multi-band, native resolution, and non-georeferenced raster
RGB MosaicGeoTiffVisual RGB multi-band, native resolution, and georeferenced raster
* Delivered only in some cases

Plot Canopy Cover with Uniformity (83002-00)

Description

Summarizes the green pixels (i.e., vegetative cover) within a plot. Uniformity describes variation at the plot-level using statistical summary of sub-plot-level data.

Deliverable List

DeliverableFormatDescription
Plot Canopy Cover with UniformityShapefile, GeoJSON, CSVPlot-level summary statistics
Subplot Canopy Cover (%)GeoTiffCanopy Cover (%) subplot variability

Data Attributes

Plot Canopy Cover with Uniformity
AttributeDescriptionUnits MetricUnits Imperial
Canopy Cover (%) <DD-Mon>Percent of the plot covered by vegetation
Canopy Cover Area (m^2) <DD-Mon>Area of the plot covered by vegetation
Canopy Cover - Median Subplot (%) <DD-Mon>Median of the subplot canopy cover %
Canopy Cover - Subplot Std. Dev. (%) <DD-Mon>Standard Deviation of the subplot canopy cover %
Canopy Cover - Min Subplot (%) <DD-Mon>Min of the subplot canopy cover %
Canopy Cover - Max Subplot (%) <DD-Mon>Max of the subplot canopy cover %
Canopy Cover - Subplot Range (%) <DD-Mon>Range of the subplot canopy cover %

Plot Anomaly Detection (83016-00)

Description

Statistical identification of anomalous plots due to within-plot spatial variability or outlier plot-level value

Deliverable List

DeliverableFormatDescription
Plot Variability DetectionShapefile, GeoJSON, CSVClassification of heterogeneous plots based on within-plot spatial variability based on subplot-level measurements of Canopy Cover
Plot Outlier DetectionShapefile, GeoJSON, CSVClassification of outlier plots based on between-plot spatial variability based on plot-level measurements of Canopy Cover

Data Attributes

Plot Variability Detection
AttributeDescriptionUnits MetricUnits Imperial
Canopy Cover (%) <DD-Mon>Percent of the plot covered by vegetation
Canopy Cover - Subplot Std. Dev. (%) <DD-Mon>Standard Deviation of the subplot canopy cover %
Canopy Cover - Subplot Coefficient of Variation (-) <DD-Mon>Coefficient of Variation of the subplot canopy cover %
Variability ClassClassification of within-plot variability based on Canopy Cover - Subplot Coefficient of Variation where <30% is "No Variability", 30% - 45% is "Low Variability", 45% - 60% is "Moderate Variability", and >60% is "High Variability"
Plot Outlier Detection
AttributeDescriptionUnits MetricUnits Imperial
Canopy Cover (%) <DD-Mon>Percent of the plot covered by vegetation
Outlier ClassClassification of between-plot variability based on Canopy Cover using Median Absolute Deviation with scale factor of 2.5 where "Low Canopy Cover" represents an outlier plot-level value of Canopy Cover on the left-tail of the distribution, "High Canopy Cover" represents an outlier plot-level value of Canopy Cover on the right tail of the distrbution, and "Not an Outlier" represents a non-outlier plot-level value of Canopy Cover
Outlier PercentilePercentile value within Outlier Class