Overview

Overview

IBM Environmental Intelligence provides data scientists and application developers with accurate environmental datasets and advanced analytics to build climate-resilient solutions that track the effects of climate change across industries and keep building more sustainable business practices. A modernized foundation tool kit (API/SDK) that leverages advanced analytics and AI to manage risk and climate challenges. With this product, developers can deliver effective and efficient solutions in a rapidly changing digital landscape. 

The API development role has a lot of challenges that require a blend of technical skill, strategic thinking, and adaptability. By recognizing and addressing these hurdles—quality assurance, market adaptation, complex data management, integration difficulties, and slow analysis—developers can leverage robust APIs that not only meet current demands but also anticipate future needs. 

Offerings

Geospatial Datasets

Use extensive geospatial-temporal query and analytics services to streamline processes and access valuable insights.

Historical weather on demand

Gain historical weather context with APIs that provide gridded currents, agriculture, energy and summarized forecast data to predict future business outcomes.

Greenhouse gas emissions

Access the Carbon Performance Engine's greenhouse gas emissions APIs to calculate internal and supply chain emissions for a comprehensive view of your carbon footprint.

Above-ground biomass estimation

Employ APIs to calculate above-ground biomass in forested areas, assess deforestation’s impact on carbon sequestration and compare results with historical data.

Benefits

• Speed up analysis with pre-trained models

Geospatial Foundation Models that are pre-trained on extensive satellite data help reduce labeling time with self-supervised learning and deliver precise environmental analysis.

• Extract actionable insights from complex data

Curated and scalable geospatial datasets allow better decision-making and optimized workflows for actionable environmental insights.

• Simplify data preparation and integration

A cataloged data library accelerates geospatial data integration and insights, tailored to address climate challenges with accurate, pre-trained models.

Industry Differentiators

The foundation model’s uniqueness lies in its adaptability, accuracy, self-supervised learning abilities and its reliance on a blend of high-resolution satellite imagery and LiDAR for predictive insights

IBM Environmental Intelligence provides a unified experience. Users can conduct a variety of work within one tool, including:

• Access environmental and geospatial data

• Geospatial-temporal querying

• Historical weather on demand

• Advanced data querying

• Greenhouse gas emissions calculations

Use cases

• Carbon footprint tracking and reduction: To calculate and track carbon emissions by measuring Greenhouse gas from stationary, fugitive, location-based, mobile, transportation and distribution and market-based emissions

• Climate risk assessment and resilience planning: to assess the risks related to natural disasters, enabling better planning to mitigate risks like floods, cyclones, and others in advance 

• Short- and long-term weather forecasts : to manage day-to-day operations and strategic planning

• Track deforestation and Above-ground biomass content: to evaluate historic and future (provoked additionality) AGB content and CO2 capture data for both species-specific and species-agnostic use cases.

• Land Use Planning: to help identify suitable areas for different crops by soil moisture detection. 

• Monitor crop health: by using NVDI calculations using API.

Links

• Website link - https://www.ibm.com/products/environmental-intelligence

• Sign up link - https://www.ibm.com/account/reg/us-en/signup?utm_medium=Bp&utm_source=Bp&utm_conte[…]WW&utm_term=30DFS&utm_id=ESRI-preview-sign-ups&formid=urx-52894

• Sample link - https://github.com/IBM/Environmental-Intelligence

• API documentation link - https://developer.ibm.com/apis/catalog/envintelsuite--ibm-environmental-intelligence/Introduction