Difference between revisions of "Drone Meteorite Searching"
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* Laptop + backup laptop. Linux distro, ~1TB free space, SD card reader. | * Laptop + backup laptop. Linux distro, ~1TB free space, SD card reader. | ||
* Spin-up Webapp VM. | * Spin-up Webapp VM. | ||
− | * Start high-performance GPU computer (lab). | + | * Start high-performance GPU computer (lab), or reserve a g2.large GPU VM on Nectar (https://dashboard.rc.nectar.org.au/project/reservations/). Start the client. |
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=== Comms === | === Comms === |
Latest revision as of 16:59, 15 November 2024
Contents
Introduction
Main Survey Data Collection
Drone Image Survey Requirements
- Ground resolution: 2 mm /pixel
- Overlap: 10%
- Minimum sun elevation: X degrees (to avoid long shadows creating too many false positives. Ignore if overcast). Use https://www.sunearthtools.com/dp/tools/pos_sun.php to calculate survey start/end times for your location.
- GPS tagging of the images (Exif)
- Timezone set to UTC
Note:
Survey strategy
When the data is processed, the oldest images are somewhat prioritised. Hence the higher priority/probability areas should be surveyed first.
The simplest way to achieve this is to cut the search area polygon into 5-20 smaller polygons, depending on the size of the survey. Try not to make the polygons too elongated.
Training Data Collection
Low-resolution Survey
(optional) Needed to make a background map of the survey area (used as a layer on slippy map on Webapp).
Data Collection
- Ground resolution: 5 cm /pixel
- Overlap: 70%
Data Processing
- Upload and process the data on WebODM (cloud version).
- Download the data product: Orthomosaic (large geoTiff file).
- Upload geoTiff to Mapbox: https://studio.mapbox.com/tilesets/
- Wait for processing, note the Tileset ID, make sure it is public, and put that ID somewhere... TBD
WebODM setup
- feature-type: orb
- use-fixed-camera-params: enable
- sfm-no-partial: disable
- skip-3dmodel: enable
- skip-report: enable
- fast-orthophoto: enable
- dsm: disable
Meteorite Candidates Follow-up
Webapp Deployment
See deployment notes: https://github.com/desertfireballnetwork/dfn-meteorite-drone-webapp/tree/main/webapp
GPU machine Deployment
Heavy lifting jobs (Machine Learning training and inference) need a GPU desktop or beefy VM. This machine just needs to be connected to the internet, and will work as a slave wrt the webapp on the VM.
See install notes: https://github.com/desertfireballnetwork/dfn-meteorite-drone-webapp/tree/main/mldaemon
Checklists
Misc
Computer things
- Laptop + backup laptop. Linux distro, ~1TB free space, SD card reader.
- Spin-up Webapp VM.
- Start high-performance GPU computer (lab), or reserve a g2.large GPU VM on Nectar (https://dashboard.rc.nectar.org.au/project/reservations/). Start the client.
Comms
- Starlink unit.
- Starlink ethernet adapter.
- Re-activate Starlink subscription that should be on pause (ask Hadrien).
- WiFi router with WAN port and swappable antenna (SMA).
- high-gain 2.4GHz WiFi antenna.
- hand-held UHF radios (1 pp) + charger.
Power
- Generator.
- Petrol and/or diesel. Usage: ~X litres / 12h
- Battery station + cables.
Drone
- Drone.
- Drone camera + lenses.
- Drone controller.
- RTK base station.
- Batteries (charge them just before the trip).
- Battery charger.
- SD cards.
- Something to make a landing pad (e.g. tarp).
- stuff for making ground control points (for the low-res survey)