Field measurements
Isometric Certify enables you to upload geospatial and measurement data required to certify your CDR projects.
Field measurements are currently supported for:
- Biochar projects using the Biochar Storage in Agricultural Soils module
- Enhanced Weathering projects
Sample data is required for quantifying and monitoring carbon removals, and demonstrating co-benefits of these CDR methods. Each sample is taken at a specific location on a specific date. Certify allows you to upload removal areas (which capture the boundaries of fields in the project area), measurement locations and sample data in the Field measurements section.
Removal areas
Each removal area is a group of project areas, such as fields, that will be credited together.
- For Biochar projects, this may include farms where biochar from the same pyrolysis reactor is spread.
- For EW projects, each removal area consists of control, treatment, and (if using the 3-plot model) deployment plots, which have similar soil conditions and typically follow the same crop rotations.
You can upload GeoJSON files representing your removal areas as follows:
- Go to the Removal areas tab.
- Click Add removal area, select your files, and click Upload.
- Uploaded polygons will be rendered in the plot map preview, where you can toggle between private and public views.
- Click Done to see the uploaded removal area displayed in a table.
Public vs. private map views: the private view displays detailed field boundaries and is visible to you, Isometric, and your assigned VVB. The public view hides inner field boundaries for anonymization in the public registry.
Measurement locations
Upload latitude-longitude pairs where samples are taken within removal areas:
- Go to the Measurement locations tab.
- Download the CSV template to see what data you need to provide.
- Populate the template with your measurement locations and export it as a CSV.
- Click Add measurement locations, select your file, and click Upload.
- Uploaded locations will be rendered in the plot map preview.
- Click Done to see the uploaded measurement locations displayed in a table.
If there is an error in your uploaded data, try:
- Deleting incorrect locations using the checkboxes and Delete X items button.
- Re-uploading the corrected data.
Once a measurement sample has been associated with a measurement location, that measurement location can no longer be deleted to ensure data integrity.
Samples
Upload the sample data required based on your project setup.
Upload sample data
- Go to the Samples tab.
- Click the sample type you want to upload data for.
- Download the CSV template, which specifies which measurement properties are required (indicated by
*
), conditionally required (indicated by(*)
) and optional to supply. - Populate the template with your sample data and export it as a CSV.
You can download a data example to see what this data might look like.
- Click Add samples, select your file and click Upload.
- Uploaded samples will be displayed in a table, where you can inspect individual datapoints by clicking into each row.
If there is an error in your uploaded data, try:
- Deleting incorrect locations using the checkboxes and Delete X items button.
- Re-uploading the corrected data.
You only have to submit required fields, including supplier_reference_id
, measurement_location_id
(assigned by Isometric in the format mlc_XXXXXXXXXXXXXXXX
) and measurement_date
.
To ensure your sample data is linked to the correct measurement location, you can download a CSV mapping Isometric-assigned measurement location IDs to your self-assigned supplier reference IDs from the Measurement locations tab.
Use a consistent naming system for sample supplier reference IDs, such as:
project-code_measurement-location-code_sample-type_sampling-event
For example 01_001_soil_baseline
.
View data on the map
- Click View on map on any tab under Field measurements.
- Explore all uploaded removal areas and measurement locations.
- Click a measurement location pin and View X samples in the top-left box to inspect the measurement data for samples taken at that location.
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