Csequester
Csequester
Csequester
Carbon Markets, Tech driven, Early-stage
Carbon Markets, Tech driven, Early-stage
Carbon Markets, Tech driven, Early-stage
Overview
Overview
Csequester is an early stage startup that democratizes access to the carbon market for small and medium landowners.
Csequester is an early stage startup that democratizes access to the carbon market for small and medium landowners.
Csequester is an early stage startup that democratizes access to the carbon market for small and medium landowners.
(currently under an NDA, I'm allowed to share only parts of some explorations we've been doing over the past months)
(currently under an NDA, I'm allowed to share only parts of some explorations we've been doing over the past months)
(currently under an NDA, I'm allowed to share only parts of some explorations we've been doing over the past months)
Tools Used
Figma
Design Tool
Framer
Web Tool
Notion
Documentation
Miro
Design workshops/sprints
Tools Used
Figma
Design Tool
Framer
Web Tool
Notion
Documentation
Miro
Design workshops/sprints
Tools Used
Figma
Design Tool
Framer
Web Tool
Notion
Documentation
Miro
Design workshops/sprints
Tools Used
Figma
Design Tool
Framer
Web Tool
Notion
Documentation
Miro
Design workshops/sprints
Created
Created
2024
Process
Process
Technology
Utilizing satellite imagery, drone and ground-based LiDAR, along with rigorous soil and water sampling, the project aims to create a comprehensive ecological database. This data will support the development of sophisticated machine learning models to predict and analyze ecological transformations necessary for the restoration and preservation of these zones.
Aimed Outcome
By automating the verification process of environmental assets such as biodiversity restoration and carbon sequestration, the project lowers barriers to entry, allowing these landowners to validate their contributions to carbon storage and participate in carbon trading. This model not only fosters environmental sustainability but also offers economic incentives for community involvement in ecological conservation efforts, making a significant impact on global climate regulation and local livelihoods.
Technology
Utilizing satellite imagery, drone and ground-based LiDAR, along with rigorous soil and water sampling, the project aims to create a comprehensive ecological database. This data will support the development of sophisticated machine learning models to predict and analyze ecological transformations necessary for the restoration and preservation of these zones.
Aimed Outcome
By automating the verification process of environmental assets such as biodiversity restoration and carbon sequestration, the project lowers barriers to entry, allowing these landowners to validate their contributions to carbon storage and participate in carbon trading. This model not only fosters environmental sustainability but also offers economic incentives for community involvement in ecological conservation efforts, making a significant impact on global climate regulation and local livelihoods.
Technology
Utilizing satellite imagery, drone and ground-based LiDAR, along with rigorous soil and water sampling, the project aims to create a comprehensive ecological database. This data will support the development of sophisticated machine learning models to predict and analyze ecological transformations necessary for the restoration and preservation of these zones.
Aimed Outcome
By automating the verification process of environmental assets such as biodiversity restoration and carbon sequestration, the project lowers barriers to entry, allowing these landowners to validate their contributions to carbon storage and participate in carbon trading. This model not only fosters environmental sustainability but also offers economic incentives for community involvement in ecological conservation efforts, making a significant impact on global climate regulation and local livelihoods.
Technology
Utilizing satellite imagery, drone and ground-based LiDAR, along with rigorous soil and water sampling, the project aims to create a comprehensive ecological database. This data will support the development of sophisticated machine learning models to predict and analyze ecological transformations necessary for the restoration and preservation of these zones.
Aimed Outcome
By automating the verification process of environmental assets such as biodiversity restoration and carbon sequestration, the project lowers barriers to entry, allowing these landowners to validate their contributions to carbon storage and participate in carbon trading. This model not only fosters environmental sustainability but also offers economic incentives for community involvement in ecological conservation efforts, making a significant impact on global climate regulation and local livelihoods.