TerraXWaste

An Earth Intelligence Platform with Multi-Sensor Data and AI Systems for Waste Management & Landfill Monitoring

Waste Management and Landfill Monitoring

TerraXWaste is our AI-powered waste management and landfill monitoring leverages satellite imagery, geospatial analytics, and intelligent algorithms to provide continuous visibility into waste accumulation, landfill expansion, and environmental impact. The system detects changes in landfill volume, surface deformation, leachate patterns, and surrounding land conditions, enabling early identification of operational risks and environmental hazards. By integrating temporal analysis and predictive modeling, it supports optimized waste handling, regulatory compliance, methane emission monitoring, and long-term landfill planning. This data-driven approach enhances sustainability, reduces environmental risk, and enables smarter, more efficient solid waste management for municipalities and operators

Featured Applications

Intelligent Landfill Emission Monitoring

TerraXWaste provides a remote sensing–based system to detect and quantify greenhouse gas emissions from landfills and waste disposal sites. By integrating multispectral, hyperspectral, and thermal satellite data with advanced AI analytics, our framework identifies methane (CH₄) and carbon dioxide (CO₂) plumes, tracks emission hotspots, and supports compliance with environmental and ESG standards. Some of the key features include:

  • Integration of TROPOMI, PRISMA, and GHGSat imagery to detect CH₄ and CO₂ emissions
  • Application of AI models for emission monitoring.
  • Time-series analysis to identify seasonal trends, sudden emission spikes, and mitigation effectiveness.
  • Visualization of emission data in a cloud-based monitoring dashboard with automatic reporting and alert generation

Assessment of Vegetation Stress Near Landfills

TerraXWaste delivers a remote sensing–based framework to evaluate vegetation degradation and ecological impact caused by solid waste management activities. By analyzing satellite imagery over time, our system quantifies pollution-induced stress, tracks vegetation health decline, and supports environmental sustainability and land restoration planning. Some of the key features include:

  • Employing satellite data to assess vegetation dynamics
  • Identifying areas under stress due to contamination and waste accumulation
  • Application of time-series and trend analysis to quantify vegetation decline, recovery, or long-term degradation.
  • Correlation of satellite-derived vegetation loss with ground-based pollution data