EOS Data Analytics (EOSDA), a global leader in AI-powered satellite imagery analytics, announces a groundbreaking collaboration with AgriProve, Australia’s premier soiltech carbon developer.
AgriProve is the fastest growing carbon soiltech developer in Australia, with an award-winning and data-driven approach already supporting over 600 projects totalling more than 170,000 hectares.
With EOSDA’s support, AgriProve is able to harness detailed satellite data and predictive analysis to measure, track and predict changes in soil carbon sequestration rates. It’s an approach which has attracted Australian Government support via an AUD $9.2 million grant.
This approach merges the capabilities of EOS SAT-1, a multispectral optical satellite, and SAR sensors, redefining soil organic carbon monitoring practices across Australia. It is a data-driven revolution that promises to optimize soil carbon analysis and modelling ability.
This collaboration will empower the creation of detailed soil carbon maps, providing invaluable guidance to farmers for optimizing their land management practices. Predictive models derived from this technology will offer insights into how soil carbon levels may change based on current farming practices, serving as a proactive tool for soil and climate management.
“We are thrilled to be part of this innovative technology. This project is a significant step toward even more cost-efficient, data-driven solutions for soil and climate management.”
AgriProve will continue to work with EOSDA as it develops its comprehensive system for soil organic carbon analysis, with the entire project expected to span approximately two years.
The technology under development will harness various indices from both optical and SAR images, along with a comprehensive set of predictors, including digital elevation model and their derivatives, bioclimatic indicators, and soil data. These data sets, analyzed using advanced machine learning models, can be used for direct SOC content modelling or integrated into the RothC predictive carbon cycle model.
EOS Data Analytics leverages images from EOS SAT-1, the agri-focused satellite, to achieve even higher precision in soil carbon estimates and predictions.
“AgriProve set out to find the best partner to support us on this groundbreaking project and we are delighted to have the support of EOS Data Analytics. This is an approach which will enable us to achieve unprecedented accuracy in measuring soil carbon content remotely and unlock tangible steps our partnering farmers can take to build healthier soil while also addressing climate change and enhancing the climate resilience and productivity of their land”