Lively and Nishika: Pioneering Forest CO₂ Absorption Visualization
Lively LLC, headquartered in Chiyoda, Tokyo, and Nishika Inc., located in Minato, Tokyo, have signed a partnership agreement to develop and implement a CO₂ absorption visualization system using satellite imagery and remote sensing technology. This innovative effort aims to create a more accurate understanding of CO₂ absorption by forests and other natural assets, bolstered by advanced AI analytics.
Both companies target Japanese businesses that own and manage natural assets such as forests, farmlands, and wetlands, intending to facilitate consulting, training, and the generation of forest credits through this system. In May 2025, they plan to conduct verification experiments in collaboration with multiple companies owning forests overseas.
Lively is responsible for overseeing the project's planning and social implementation, ensuring close collaboration with client companies and developing business strategies. Meanwhile, Nishika focuses on processing and analyzing satellite data, constructing AI models, and developing applications that will form the core of the visualization system's technology.
Traditionally, many companies have struggled to accurately estimate CO₂ absorption rates due to reliance on coefficients, which often lack precision and objectivity. This verification experiment will utilize both satellite images and on-site measurement data—serving as training data for AI—to achieve higher accuracy in visualizing forest conditions. By reducing the burden of extensive field surveys, this system empowers companies to understand the environmental value of their resources and convert this into meaningful economic value through sustainable management and the creation of carbon credits.
Through this partnership, Lively and Nishika aim to support a deeper quantitative understanding of natural capital and promote reliable information disclosure by companies, contributing to net-zero efforts.
Comments from Lively
Lively expresses great enthusiasm about starting this verification experiment alongside Nishika, utilizing remote sensing and AI technology to visualize previously