metadata: {"type": "project", "title": "Lynx", "logoImg": "bafybeib4bpuctwur4tr2gpbd5q43ad5v6ghbsvpjuefwbg4gscpmpqny7e", "website": "https://lynx.earth", "bannerImg": "bafkreicbh523ggqc24rtuckls7kproplajd43sg76tay6lnfnzgocebzla", "createdAt": 1675041834414, "credentials": {}, "description": "Wet rice paddy agriculture emits 12% of the world's methane (CH4) emissions, comprising 1.5% of total human-caused GHGs... \ud83d\ude33 \nHowever, it is possible to significantly curb these emissions by reducing the number of days per year a rice paddy is flooded\u2013a technique known as AWD (alternate wetting and drying).\n\nSo how do we roll out AWD broadly?\nCarbon markets give us the means to give \"green carrots\" to farmers (incentives to adopt sustainable activities such as AWD). But to participate in carbon markets, we need tools to do MRV (monitoring, reporting and verification). \n\nAt Lynx we are building a digital MRV solution for rice paddy methane reduction projects.  It leverages satellite remote sensing and machine learning to monitor the number of days a rice paddy field is flooded and compares it against a baseline to guarantee additionality. Further, the solution is based on the blockchain which provides unparalleled traceability so buyers of carbon credits can track GHG reduction back to the specific farm, field, and season. \n\nThank you for your consideration\n\ud83d\ude4f", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "lynx-earth", "projectTwitter": "@lynxMRV"}
name: Lynx