Revolutionizing Carbon Inventory Projects: GTI’s On-Demand Supply of Standardized Vegetation Biomass Inventories

What sets this capability apart is its global scalability, powered by leveraging the extensive archive library of Landsat and Sentinel satellite imagery dating back to the early 1990s. This wealth of data enables unparalleled change detection, offering insights spanning decades.

Harnessing automated modelling procedures and cutting-edge cloud-based image data archives and processing capabilities, GTI delivers rapid generation of wide-area coverage landscape characteristics across various time steps. GTI is pioneering the use of this data for machine learning training, enabling the creation of Sentinel-equivalent imagery dating back to 1990 from Landsat. The efficiency of this process is unmatched, allowing for timely and precise analysis.

One of the key benefits of GTI’s approach lies in its standardization. Regardless of whether Landsat or Sentinel imagery is utilized, the interpretation of landscape remains consistent. This standardized approach ensures reliability and comparability across projects, facilitating seamless collaboration and analysis.

What further sets our approach apart is its unique ability to provide localized insights. Unlike many global datasets, our approach allows for location-specific modifications to accurately reflect local vegetation characteristics. Whether it’s highly seasonal, mixed, or variable cover vegetation communities, our models are fully adaptable to local landscape characteristics, ensuring comprehensive coverage and insights.

In essence, GTI’s on-demand supply of standardized vegetation biomass inventories revolutionize the landscape of carbon inventory projects. With its rapid, standardized, and localized approach, GTI empowers end-users and stakeholders with actionable insights to drive informed decision-making and foster sustainable environmental management.