Google Earth Engine

Sustainable supply chains are business critical. Earth Engine helps businesses analyze land cover and use at sourcing sites to highlight deforestation risk in their supply chains. The EC JRC global map of forest cover for 2020 is useful for this. A spatially explicit representation of forest presence/absence in 2020 at 10m resolution, this dataset corresponds to the EU Deforestation Regulation (EUDR), which will require companies to provide statements affirming goods sold or produced in the EU were not grown on land deforested after December 31, 2020.

TraceMark, built by Google Cloud Advantage partner NGIS, uses Earth Engine to map the sourcing of raw materials and potential risk through global supply chains, providing comprehensive first-mile monitoring and end-to-end traceability insights.

TraceMark leverages leading frameworks and provides EU Deforestation Regulation (EUDR)-specific capabilities for risk mitigation and due diligence, including data exchange and engagement with suppliers, and sustainability metrics for reporting.

TraceMark provides multi commodity capability to address all EUDR-impacted products, including palm, coffee, cocoa, soy, and paper.

Disaster response agencies require precise and timely data and insights in order to monitor fires, evaluate risks, and protect assets. Datasets in Earth Engine, such as GOES MCMIP (imagery), GOES FDC (fire detection), and FIRMS (Fire Information for Resource Management System), can be analyzed to monitor fires, as well as facilitate fire modeling and risk management. Analyzing this data helps improve the efficiency of response and disaster recovery efforts, making them more effective.

Climate Engine’s SpatiaFi solution links asset and geospatial data to support regulatory reporting, climate risk reductions, and sustainable finance.

CARTO’s cloud native Location Intelligence platform helps organizations analyze climate impacts, optimize processes, and predict outcomes.

Deloitte is building new geospatial planning solutions using Earth Engine and Google Cloud’s GenAI to help clients build sustainable communities and infrastructure, enhance operational resilience, and prepare for climate change impacts.

SIG, for 25 years, has honed expertise in mapping environmental change, specializing in evaluating risks like fire, drought, flood, agricultural disruptions, and health threats.

Leveraging the Hansen global forest change dataset in Earth Engine, users can carry out analysis of forest change, quantifying forest change over time and charting yearly forest loss. Using the Forest Monitoring for Action (FORMA, Hammer et al. 2009) data from Global Forest Watch, users can filter by dates and configure alerts within specific areas of interest.

With 25 years of expertise, SIG excels in protecting natural resources through comprehensive mapping of land cover and use change, real-time change detection, restoration potential assessment, and biodiversity monitoring, ensuring effective environmental conservation strategies.

Earth Engine can be used to surface insights into crop health, water consumption, and seasonal patterns of productivity. MOD13A2.061 Terra Vegetation Indices 16-Day Global 1km can be leveraged to generate a time-series animation representing 20-year median vegetation productivity. For more informed decision-making, users can analyze datasets like MODIS land surface temperature data or ERA5 composites to calculate Growing Degree Days (GDDs) and then apply machine learning in Vertex AI to predict when crops will reach maturity or to calculate optimal timing for pest management.

• Woolpert: A partner and leading provider of state-of-the-art geospatial services. Woolpert has helped several organizations in both the public and private sector build their Earth Engine stack for geospatial intelligence, including agricultural analytics and other land management applications. 
• NGIS: A dedicated geospatial company and Google Partner has extensive experience in partnering with leading agriculture organizations to implement Earth Engine. Using Earth Engine, the NGIS team has developed solutions across agricultural nutrition, protection, production, and analytics to operationalize petabytes of satellite imagery to deliver new insights and products. 
• Spatial Informatics Group (SIG): It has been providing environmental decision support tools for 25 years. Expertise include: vegetation cover types identification through spectral discrimination; phenology and seasonal vegetation change analysis; crop monitoring and yield estimation.

For public sector organizations and companies seeking to tackle emissions and derive insights into the drivers of degradation and effectiveness of interventions, custom analysis can be applied to Earth Engine datasets to detect environmental impacts over time. For example, using annual segmented Landsat time series data from 1984-2019 to depict lake drying in Bolivia, or combining methane data with other datasets—like land cover, forests, water, ecosystems, regional borders, and more—to track methane emissions in a given area over time.

Deloitte’s methane emissions quantification solution—built on Google Earth Engine—is a geospatial artificial intelligence (AI) and machine learning (ML) analytics tool designed for organizations to monitor, quantify, and prioritize closure of problematic orphan wells to reduce methane emissions, protect water and air, and mitigate safety risks to improve human and environmental health.