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us Technology :

Scalable carbon projects

through Remote Sensing

We leverage satellite and GIS technology to achieve scalable carbon projects. The acquired data is integrated with on-farm data and modeling data, enabling large-scale projects. This enhances the transparency and reliability of monitoring.

Benefits of Remote Sensing

Remote sensing offers several benefits in carbon projects


Wide Coverage

Comprehensive assessment through monitoring over a wide geographical area.


Timely and Continuous

Effective decision-making through continuous data collection without time constraints.



Reduction of monitoring costs through the appropriate use of field measurements and remote analysis.


Objective and


Enhanced reliability through objective satellite data and comparative analysis


We aim to accumulate extensive data on carbon projects within the Us Offset Program and construct reliable models through the integration of field measurements and data. By improving practical and feasible methodologies, we strive to contribute to sustainable climate action.

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Field Boundaries

Based on the basic information of project participants, we utilize GIS data and satellite imagery to identify the boundaries of the project area. Through this field boundary mapping, we can clearly define spatial boundaries for monitoring purposes. By integrating the field boundary data with relevant information such as crop types, land use, and soil types, we construct a comprehensive spatial dataset for the carbon project. This integrated data is utilized for various assessments in different fields, including tracking agricultural activities and monitoring ecosystem health.

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Field Analysis

Monitoring vegetation indices allows us to track the growth status of plants and estimate their potential impact on ecosystems and their potential as climate change mitigation measures. Additionally, through distinguishing vegetation and soil distribution, we can monitor desertification, and through measuring soil moisture, we can monitor water management on farms. By utilizing these methods, we comprehensively evaluate the integrity and impact of carbon projects remotely across various fields.

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