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Environmental Intelligence

Environmental Intelligence
Gain insights that address sustainability, climate change and regulatory requirements

Explore How Environmental Intelligence Can Transform Your Development Approach
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Intelligence begins here
 

Easily access, process and analyze environmental data and use it strategically with a wide-ranging set of APIs offered the IBM® Environmental Intelligence. 
Simplify data preparation and integration and speed up analysis

Ready-to-use APIs integrate geospatial and GHG emissions data and weather analytics without the need for cleaning, normalization or transformation.
Extract actionable insights from complex data

IBM’s APIs and Python SDK integrate seamlessly into workflows for analyzing complex, diverse data sets with machine learning and AI-driven insights.
Work in different environments without platform-specific constraints

Broad compatibility with a range of programming languages and tools ensures that teams can integrate APIs into their existing tech stacks and workflows.
Access essential information in a centralized developer’s console

Your API key resides in the console for convenient access to the credentials you need to authenticate and start working more quickly with the APIs.

An atmosphere for answers

  1. Access to scalable data sets
Scale for growing data needs High-resolution imagery, global weather data and more are available on demand, and adapt to varying levels of complexity and size―everything from small-scale regional analyses to extensive global studies without compromising performance or accuracy. This scalability lets you expand applications and analyses as needed.
Find revelations between layers Geospatial APIs bring environmental data to life as high-resolution imagery and other valuable data insights. Complex queries reveal key relationships between layers that have been normalized and organized for analysis and visualization so you can gain insights efficiently and act quickly.
Analyze a greater footprint Access the greenhouse gas emissions APIs and analyze both direct and indirect GHG emissions, in your company and in the value chain. Calculate Scope 1, 2 and 3 emissions and organize in keeping with the latest GHG protocols.
Extrapolate, correlate, predict Use current, historical and forecast weather data to extract relationships in weather history, correlate among assets and help predict future business needs and outcomes. Historical APIs combine nearly a decade of observations from multiple data sources, with customizable payloads for real-time weather insights.
Scale for growing data needs High-resolution imagery, global weather data and more are available on demand, and adapt to varying levels of complexity and size―everything from small-scale regional analyses to extensive global studies without compromising performance or accuracy. This scalability lets you expand applications and analyses as needed.
Find revelations between layers Geospatial APIs bring environmental data to life as high-resolution imagery and other valuable data insights. Complex queries reveal key relationships between layers that have been normalized and organized for analysis and visualization so you can gain insights efficiently and act quickly.
Analyze a greater footprint Access the greenhouse gas emissions APIs and analyze both direct and indirect GHG emissions, in your company and in the value chain. Calculate Scope 1, 2 and 3 emissions and organize in keeping with the latest GHG protocols.
Extrapolate, correlate, predict Use current, historical and forecast weather data to extract relationships in weather history, correlate among assets and help predict future business needs and outcomes. Historical APIs combine nearly a decade of observations from multiple data sources, with customizable payloads for real-time weather insights.

Environmental Intelligence for the real world

Download these sample files from GitHub and see how Environmental Intelligence can gather data and reveal insights to help you create real, workable solutions
Highlighted Deforestation sample

Monitor and evaluate the impact of wildfires on deforestation
Aboveground Biomass Calculations sample

Measure and monitor AGB data from carbon offsetting projects

Freight Transport Emission sample

Calculate emissions associated with various transportation activities
Snowfall Removal Budget sample

Use these APIs for historical weather context and summarized forecast data

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Explore more GitHub repository of documentation and sample applications Course: Geospatial APIs for Data Scientists and Application Developers IBM ESG Data and Environmental Intelligence community Course: History on Demand APIs Course:Corporate Commitments & GHG Emissions Accounting IBM Sustainability community IBM Environmental Intelligence Documentation
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