Protecting Biodiversity and Fostering Environmental Stability
Biodiversity represents the incredible variety of living organisms from marine, terrestrial, and aquatic ecosystems. Essential for ecosystem functions and holding intrinsic value, biodiversity must be safeguarded to ensure environmental stability and a sustainable future for our world. GRAS solutions integrate high-quality data and cutting-edge technology to support compliance, certifications, and responsible environmental management, empowering you to protect these vital ecosystems while aligning with compliance and sustainability goals.
Preserving vital ecosystems with remote sensing and geodata technology
GRAS services leverage diverse approaches, integrating trusted datasets to deliver a comprehensive view of protected areas, primary forests, biodiverse regions, and other critical conservation zones.
Advanced remote sensing techniques are implemented for monitoring greenhouse gas emissions, land cover changes, forest resilience, and wildfires. Committed to excellence, we ensure our data meets the highest quality standards, dynamically updating and expanding our resources to provide you with the best available geospatial intelligence. Empower your decisions with reliable, actionable insights for biodiversity management and compliance.
Using advanced remote sensing and GIS technologies, GRAS provides solutions across the following areas:
Protected Areas and High Conservation Values
GRAS uses geospatial information to identify and assess potential overlaps with protected areas and High Conservation Value (HCV) zones, ensuring compliance and biodiversity preservation. GRAS offers a way to look at an area using geographical data to see if it could conflicts with important nature reserves and protected zones. This solution enables companies to proactively manage risk, comply with certification standards, and demonstrate their commitment to biodiversity and the responsible use of land and operations.
Fire Monitoring
Forest fires can be detected, tracked, and analyzed using satellite imagery, providing near real-time insights into fire occurrence and spread. GRAS offers a fire monitoring solution that uses satellite data and GIS technology to call up the latest and historical fires supporting companies to monitor their supply chain, mitigating risk, protecting natural resources, and ensuring compliance with environmental regulations.
Adaptation: Forest Resilience Monitoring in the context of Climate Change
GRAS, in collaboration with leading forestry and scientific organizations, is advancing in measuring the resilience of forests amidst climate change by pioneering an innovative Forest Resilience Index (FRI). This initiative combines cutting-edge terrestrial LiDAR measurements, satellite imagery, and field data to evaluate and monitor key indicators of forest resilience: cooling (internal and external climate regulation), photosynthesis (vitality and oxygen production), biodiversity (structural and species diversity), and carbon storage (biomass as a CO2 sink). By co-designing and implementing these metrics, GRAS empowers stakeholders and forest owners with actionable insights to assess forest health and the long-term impacts of forest management techniques, ensuring sustainable practices that bolster forests’ resilience and adaptability in a warming world.
Above Ground Biomass carbon stock assessment with satellite data
In the face of climate change, understanding Above Ground Biomass (AGB) carbon stocks is vital for for understanding how forests interact with the carbon cycle, enabling formulation of policies that address climate change challenges. GRAS brings expertise in leveraging satellite data to assess and quantify AGB, offering flexible approaches—from feasibility studies using internal routines to comprehensive solutions integrating field data with satellite imagery for upscaled results. Remote sensing offers transformative benefits: it enables biomass estimations across inaccessible regions at regional and global scales, reduces costs through freely available high-resolution data from missions like Sentinel and Landsat, and ensures transparency through reproducible and objective measurements. With advancements in remote sensing technologies, GRAS provides state-of-the-art solutions to quantify and monitor forest carbon stocks efficiently and reliably.
Land Use and Land Cover mapping
At GRAS, we harness cutting-edge machine learning, including deep learning algorithms, to deliver precise and scalable Land Use and Land Cover (LULC) analyses across vast regions worldwide. We use satellite imagery to generate detailed environmental descriptors like vegetation indices, biophysical indicators, and climatic variables to build advanced models capable of differentiating diverse land cover and land use types. Our expertise includes precise crop type mapping to support agricultural decision-making and time series analysis to monitor land use changes over time, such as deforestation, urban expansion, and forest regeneration. These insights empower stakeholders with actionable data for sustainable land management and monitoring environmental conditions.