May 9, 2017

Project: Medusahead identification invasive plant identification with high resolution multispectral and surface roughness


Objective: Exploratory data collection and proof of concept for automated invasive species (Medusahead) mapping with high resolution multispectral and surface roughness characterization

Flight Date: Weekly starting May 2, 2017 to ?

Flight Location: Reno, NV (39.580312, -119850044)

Airframe: Tarot, DJI Mavic (other faculty)

Sensors: Micasense RedEdge, Mapir, Sony a5100

Crew: Chris Sladek, Chris Kratt, henry pai

Outcomes:
Mission 1 (2017/5/2)
  • Successful flights (no crashes!)
    • RedEdge
      • 30 m altitude
      • 4 m/s air speed
      • 1.23 sec camera interval
      • 2.05 cm/pixel resolution
      • ~750 images (x 5 per band)














    • Mapir
      • 35 m altitude
      • 4 m/s air speed
      • 2.72 sec camera interval
      • 1.18 cm/pixel resolution
      • ~210 images
 














  • Cameras collected data
    • Challenges
      • RedEdge downwelling light sensor and GPS unit cable was loose (did not register data)
      • Mapir did not trigger consistently (different number of camera trigger commands than Mapir photos)
      • Atlas RedEdge post-processing requires GPS coordinates
      • Visible imagery has poor automated alignment (<50 percent of collected images)
    • Adjustments (in progress)
      • Geotag RedEdge images (equal number of trigger commands with photos make this possible)
          • This was successful, steps
          1. Mission planner > download .bin and .log telemetry files > review a log > choose log > left click column "0", header row > filter "CAM" command > right click table and export visible to csv
          2. Used R-script to create new csv file with file names + path seen in above link
          3. Used ExifTool command from prompt from directory of csv:
            ExifTool -csv="panel_firstImg_000.csv" D:\hank\_medusahead_offSync\data\imagery\20170502_flight1\rededge\000\
          4. Used ExifTool from command prompt to tie XMP data to standard Exif geotag data:
            ExifTool "-GPS:all<XMP-exif:all" "-GPS:GPSLongitudeRef<Composite:GPSLongitudeRef" "-GPS:GPSLatitudeRef<Composite:GPSLatitudeRef" "-GPS:GPSAltitudeRef<Composite:GPSAltitudeRef" D:\hank\_medusahead_offSync\data\imagery\20170502_flight1\rededge\000\
          5. Used R-script to organize photos by band
          6. Add dummy location to reflectance panel shot
          7. Atlas Uploader > upload folders (photo locations should appear in map) > click select all and include (claims doesn't see GPS but appears in map)
        • Method 2 (to be done)- script to organize files by band per folder then use Mission Planner to geotag photos  Forgot, Mission Planner can not geotag tiffs.
      • Slow Mapir flight speed to 3 m/s (3.63 sec camera interval) 
      • Use Sony a5100 @ 45 m altitude (0.88 cm/pixel resolution)
      • Use collaborating professor's DJI Mavic (using DJI Go app and Drone Deploy) not registered

May 2, 2017

Gimbals

RCTimer Legacy 3-Axis Aerial Version DSLR Brushless Gimbal

Sensors

  • Multispectral camera: 
      • Common Uses: Remote sensing analysis of vegetation health status and/or landcover type classification
  • Thermal Imaging Infrared Camera:  
      • Common Uses: Thermographic analysis of a large area where results in C or F are desired (e.g. surface temperature analysis of a grassland prairie)
  • Hyperspectral camera: 
    • Headwall Nano-Hyperspec 
      • Common Uses: Various spectral analysis related to: water quality, plant physiology, vegetative cover classification, and mineral detection

Flight

Safely Flying Drones
http://knowbeforeyoufly.org/

Post-processing