How to Generate a Shapefile from Drone Imagery Using Agisoft
Presenter: Randy Price
Affiliation: LSU AgCenter
Overview
- Purpose: Create a shapefile from drone imagery for use in precision farming software or consoles for spray applications.
- Tool Used: Agisoft
Steps to Generate Shapefile
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Open Orthomosaic: Wheat Field Example
- Drone: DJI Mavic Mini (red, green, blue images)
- Process: Captured ~60 images to create an orthomosaic
- Result: Loaded orthomosaic with visible high and low spots
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Preparing to Generate Prescription Map
- Current File: In JPEG, TIFF, or a GIS file not useful for precision farming
- Goal: Convert to shapefile with useful data
- Action: Generate Prescription Map
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Creating Single Value Map Using Indices
- RGB Data: Each pixel has a value from 0 to 255 for red, green, and blue
- Purpose: Convert RGB data into a single value number for each pixel
- Tool: Raster Calculator
- Example Equation: Green - Red / (Green + Red - Blue)
- Output: Single number map (e.g., NDVI)
- Steps: Transforming data
- Green - Red Calculation
- Apply Transform
- Result: Single value map (0-1 range)
- Color Palette: Can use heat scale or NDVI
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Setting Up Prescription Map
- Objective: Map different levels for variable rate applications (e.g., fertilizer)
- Select Areas: Define different zones/levels (e.g., 20, 40, 60, 80 kg/ha)
- Example Setup:
- Good growing area: 20 kg/ha
- Better growing area: 40 kg/ha
- Unsure area: 60 kg/ha
- Poor growing area: 0 kg/ha
- Parameters: Adjust settings
- Number of Areas
- Cell Size
- Boundary File (if available)
- Saving: Export as shape file (e.g., Prescription Map - 5 Rates)
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Verification and Usage
- Save File: Remember the save location
- Verification Tools: Use tools like Google Earth Pro for verification
- Process:
- Import shapefile
- Check different rates and colors for accuracy
- Final Step: Use shapefile in precision farming software or console
Conclusion
- Instructor: Randy Price, LSU AgCenter
- Support: Available for assistance with generating shapefiles from drone imagery
- Remarks: Equations may vary, but method ensures correct zone identification and action decisions.
Notes
- Ensure correct conversion rates (e.g., kg/ha to lbs/acre)
- Customize indices equations based on specific needs
Contact Information: Randy Price, LSU AgCenter.