Environmental Monitoring & Mitigation

Monitor environmental conditions, assess risks and support mitigation. 

Some of the key features include:

Data Integration and Management

Ability to ingest and combine large, disparate datasets from various sources into a data cube. 

Modeling and Simulation

Tools for building descriptive, predictive, and prescriptive models, often using programming languages like Python and R. 

Predictive Analytics & Machine Learning

Utilizes AI and machine learning to identify patterns in historical data and forecast future outcomes

Scenario Planning

Allows users to run "what-if" analyses and test different scenarios to evaluate potential impacts before making decisions. 

Data Visualization and Reporting

Provides interactive visualizations using 2D and 3D mapping to show insights to the scenarios in an easily understandable format. 

Sea Level Rise Modelling

WES has been demonstrated in Open Geospatial Consortium (OGC) pilot programs (such as the Climate and Disaster Resilience Pilots and the FMSDI Pilots) to support flood response and climate resilience efforts. It uses 2D and 3D visualization and integrates real-time data to help identify flood-prone areas, assess impacts on infrastructure, and support resource allocation. It leverages OGC standards, such as OGC API-Features and OGC API-Coverages, to access and display relevant data and model outputs. 

Inland Flood Modelling and Response

For inland flood mapping, WES supports the integration of data from various sources to model water flow. Inland flood mapping utilizes shallow water equations; a set of hyperbolic partial differential equations used in fluid dynamics to model the flow of water from a lake or other inland source, enabling accurate flood prediction and management efforts.

Fire Prediction and Management

WES is used in disaster resilience scenarios for wildfires, integrating various data sources such as Earth observations, weather information, and infrastructure status to understand the hazard extent and its potential impacts. It helps in creating a common operational picture for incident managers and first responders. This model uses USGS Fire Potential Index, to simulate disaster resilience scenarios for wildfires, integrating data to understand hazard extent and impacts on infrastructure. 

Arctic Ice Concentrations

WES actively integrates and processes daily data on "Polar/Arctic Sea Ice and Iceberg Concentrations" from external sources (like NOAA). This provides current and historical information crucial for maritime operations, environmental monitoring, and understanding climate change impacts in polar regions. 

Compusult's Web Enterprise Suite (WES) provides an integrated geospatial information management, environmental intelligence, analytics, and operational decision-support platform that can help organizations monitor environmental conditions, assess risks, predict potential impacts, and coordinate mitigation and response activities.

By integrating satellite imagery, environmental sensors, climate datasets, geospatial information, predictive models, and field observations, WES can support a comprehensive approach to environmental monitoring, climate resilience, natural disaster preparedness, and environmental protection.

WES is particularly applicable to environmental protection agencies, natural resource departments, emergency management organizations, climate research institutions, coastal authorities, and national governments.

Key WES capabilities for environmental monitoring and mitigation.

1. Environmental Monitoring and Situational Awareness

  • WES OPS provides a map-based Common Operating Picture (COP) that can integrate and display environmental conditions across geographic regions. It can bring together satellite imagery, sensor observations, weather data, hydrological information, and other environmental datasets to support monitoring of changing conditions.
  • Applications: Flood monitoring, deforestation, coastal erosion, drought, wildfire activity, and land-use changes.

2. Climate Change Modelling and Predictive Analytics

  • The WES-AI Modelling & Predictive System (MPS) provides a framework for integrating environmental datasets into multidimensional data cubes and applying modelling, simulation, and machine learning techniques.
  • Applications: Sea-level rise, flood inundation modelling, extreme weather scenarios, wildfire risk, drought forecasting, and climate vulnerability assessments.

3. Environmental Sensor Integration and Data Collection

  • WES can integrate information from environmental monitoring stations, IoT sensors, weather stations, water-quality monitoring systems, and remote sensing platforms through configured interfaces.
  • Applications: Monitoring air and water quality, rainfall, river levels, temperature, soil moisture, and environmental hazards.

4. Geospatial Data Management and Environmental Intelligence

  • WES Geospatial, WES Catalog, and Meta Manager support the storage, discovery, metadata management, and distribution of geospatial datasets and environmental information products.
  • Applications: Satellite imagery repositories, environmental baseline mapping, habitat mapping, land-cover classification, and historical change analysis.

5. Mobile Environmental Field Data Collection

  • WES Mobile enables environmental officers, inspectors, and field researchers to collect and transmit georeferenced observations, photographs, videos, and environmental incident reports.
  • Applications: Pollution reporting, wildlife observations, environmental compliance inspections, coastal damage assessments, and post-disaster field surveys.

6. Environmental Incident Management and Mitigation

  • WES Emergency Management and WES ICS can support environmental incident tracking, response coordination, resource management, and the implementation of mitigation activities.
  • Applications: Flood response, wildfire coordination, oil spill management, hazardous material incidents, and environmental recovery operations.

7. Environmental Analytics, Reporting and Decision Support

  • WES Analytics, including WES Dashboard and Apache Superset integration, provides configurable dashboards, charts, statistical summaries, and reports for analyzing environmental information.
  • Applications: Environmental performance monitoring, trend analysis, regulatory reporting, mitigation effectiveness, and climate adaptation planning.

Other Industries

WES Operations Centre

Centralized operations hub delivering real-time situational awareness for coordinated response and decision-making.

WES Geospatial

Enterprise data warehouse for storing, managing, and delivering geospatial, imagery, and business data at scale.

WES Analytics

Transforms historical data into dashboards, charts, and reports for clear insights and informed decisions.

WES AI

AI-powered analytics, modeling, and visualization for predictive insights, planning, and decision support.

WES Administration

Comprehensive administration tools for configuration, security, user management, auditing, and control.

Emergency Management & Incident Command

Emergency response, incident command, coordination and operational readiness. 

Aerospace & Defence

Geospatial intelligence, mission awareness and defence operations. 

Environmental Monitoring & Mitigation

Monitor environmental conditions, assess risks and support mitigation.

Maritime & Border Security

Maritime domain awareness, surveillance and security operations. 

Transportation & Infrastructure

Monitor transportation networks, infrastructure and operational assets.

The AI modules/window components may be included within custom workflows and has been organized in the following broad categories:

Modelling and Predictive System (MPS)

The evidence supporting climate change and the related effects due to human activities is now overwhelming and compelling. 

 

AI Alerting

An AI application make decisions on behalf of and in support of users and the associated stakeholders. 

 

Geospatial AI Chatbot

A microservices-based generative AI chatbot prototype with natural language processing capabilities to handle discovery of relevant information and content on behalf of a user.

AI Search Agent

A powerful tool that enables the system to do the work on behalf of a user. 

 


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