Leaf Track
Remote sensing service monitoring vegetation health in nature reserves using satellites, NDVI analysis, machine learning, and blockchain for data integrity; aims to protect species, prevent deforestation, and promote sustainability.User Review
AI Review
A1
Reviewed on 13 Feb 2024 02:50 PM
Projects must be at least 3 months old. Newer projects should establish themselves and submit to the next round.
The provided information does not specify the age of the 'Leaf Track' project.
The Grant must be primarily focused on climate solutions (the group may do other work but the grant proposal should be directly related to climate solutions). The proposal should explicitly outline how this project will help reduce GHGs or is an important core infrastructure for web3 climate solutions.
Leaf Track monitors vegetation in nature reserves using satellite imagery and machine learning, aiding in carbon sequestration efforts and preventing deforestation which are directly related to reducing GHGs and providing data infrastructure for climate solutions.
Grantees who received funding in previous rounds should report on project progress since GR15 or the Alpha round. We understand that some projects may have less progress given the timing of Alpha round disbursements. This will ensure accountability to supporters and also help encourage contributors by showing what you’ve been accomplishing.
There is no information provided regarding Leaf Track's previous grant receipts or progress reporting post-GR15 or the Alpha round.
All returning grantees are expected to update their proposal, in addition to project updates the proposal should include lessons learned from previous work and how they will use the additional funding from the upcoming round. The updated proposal should indicate how additional funding will help the project meet its goals, and include a rough timeline for the project overall.
It is not clear whether Leaf Track is a returning grantee, and if so, whether they have updated their proposal according to these requirements.
There is a general expectation that projects are within the “realm of viability”. Even if a project may be at a very early stage, it still must seem credible to the average person with an understanding of web3 technology and climate solutions. Grantee founders must genuinely intend to build the project, and the project must not broadly be considered an impossibility.
Leaf Track's approach using remote sensing, satellite imagery data, and blockchain for data integrity is technologically sound and represents credible web3 technology and climate solution methods.
Grantees can be eliminated from consideration in the round if they are found to be encouraging or enabling Sybil attacks or other forms of malicious manipulation of the grants platform or the Gitcoin community.
There is no evidence provided indicating that Leaf Track has engaged in Sybil attacks or malicious manipulation, but also no clear proof of compliance with Gitcoin's community standards.