Agreed, I was going to ask if you've looked into acoustic or also seismic sensors? E.g., I recently came across this paper using seismic sensors and a helpful little storymap overview of remote sensing tools for elephant monitoring, but I'm sure others here provide more insight. Also, @Alasdair / Arribada have worked on an elephant detection/early warning system using thermal sensors, not sure what the progress is but could be a helpful model on the real-time alert front!

Why would you want to avoid alerting the rangers ?

You don't need high tech for this; elephants leave very obvious tracks and sign. 

Hi Tyler,

Would like to introduce you to Ceres Tags products

• Ceres Tags products come in boxes of 5, 10 and 24. 
• There are some software partners such as Earthranger, Mapipedia and possibly CiboLabs that would be able to assist you with your mapping vegetation requirements
• Ceres Tag does not require any towers, base stations and infrastructure. This allows you to see any movements from the heard outside of their normal herd (boundary alerts), and you will not be disturbing any of the flora and fauna with infrastructure set up. 
• For the timing you are looking at, Ceres Wild pings directly to satellite 24 times a day. For Ceres Trace and Ceres Ranch there are 4 within 24 hours. Taking into consideration, when you set up alert areas, you will get them directly to your phone/laptop via your software of choice
• Ceres Ranch is a reusable tag that has just been launched. Use it on this project, remove the tag and then use the tag on your next project
• The software you choose will assist with the history of your animal movements. Ceres Tag is integrated with 11 software partners and in-development with 18 software partners https://cerestag.com/pages/software-partners
• Understanding it is a short-term project, you would be able to use Ceres Tags products without the additional expense of setting up and removing infrastructure- towers, gateways
• With Ceres Tag, you are purchasing the box of tags and picking a suitable software to deliver the information you require. On average, a box of 10 Ceres Trace Tags, is the same as 1 LoRaWAN tower. 

Hey Sara, thanks for sharing!! If you have time, you should definitely post the info session as an event on our calendar, and you're also welcome to add the application info as an opportunity if you haven't already! We'll be happy to give both another boost on our social media channels too!

Hey Sara,

Thanks again for the session today--it was super helpful! 

I have access to a pretty large network of camera trappers, and I'm currently surveying them to see who might be willing to share data with me. That being said, I can likely get data-sharing agreements with each of these agencies sorted out before the application deadline, but may not have the data in-hand by this time due to a lack of resources for transferring such large amounts of data. 

I've used Azure Storage Explorer before to rapidly transfer large datasets like this, so I think it might be easier to compile all data in one location once we have access to the VMs. Would it be acceptable to apply with the signed data-sharing agreements in mind, and with the intent of organizing all of the data once we acquire access to the computing resources? 

Hi Sebastian,

  How about using webcams, like this one in the Adriatic (if high enough detail): 

If not, it might be worth contacting https://reefish.umontpellier.fr/ who are based in Montpellier. They do marine research, (I think including some fish ID machine learning stuff too), so may have done work locally?

Cheers

Not sure if audio data would be of any use to you, but if so FishSounds has some - I just tried their search function and there is a location tag for 'Mediterranean & Black Sea'. 

You might try reaching out to the folks at Name that Fish, Innovasea, or perhaps an entity on the Fisheries Tech list would have Mediterranean stuff? 

Hi,

If this is still relevant, you can try reaching out to the Belmaker lab, they do BRUV surveys in the eastern Mediterranean and have hours of video, some of it I believe is annotated. Particularly, Shahar might be helpful, he's the PhD student running point on the project.