Valuable records of the earths’ surface
Satellite images represent valuable and continuous records of the earths’ surface. With the development of remote sensing techniques, the lessons we learn from earth observation has reached new levels.
The continuous improvement of available data, e.g. in its temporal, spatial and spectral resolution, helps to make land use analyses more efficient, secure and trustworthy. The challenge is to select, process and interpret the huge amounts of available data for the relevant requirements and solutions.
This is where GRAS shows its strengths
Georeferenced datasets and satellite imagery present a wealth of information. The sensors of satellites can perceive more than the human eye can see. Satellite imagery makes it possible to study the changes in land use in less time, at low cost and with high accuracy. GRAS processes the different available data products with its own developed innovative methodologies and algorithms to conduct the assessments we need and to answer the urgent questions our customers have:
- When was the first land clearing within the area of interest?
- When was the field/plantation established?
- What land cover type was on the area before the establishment of the field/plantation?
- What impact does the land use change have for the area?
- Where are the vulnerable sustainability risk hotspots within my supply base?
- On which region or sustainability criteria should I focus my improvement strategy to have the most effective impact?
- How can I prove and communicate the compliance and impact of my sustainability and no-deforestation strategies to my partners and customers?
GRAS conducted a comprehensive risk analysis in accordance with German Supply Chain Due Diligence Act (LkSG) for the members of the German Coffee Association
Let’s celebrate: GRAS has successfully launched the GRAS Tool+ for the next level of sustainability analysis
Events: GRAS presented at the Symobio 2.0 status conference
GRAS, a project member of Symobio 2.0, presented its progress in mapping crop-driven deforestation in Indonesia, Malaysia, Brazil, and the Brazilian state of Bahia.
GRAS supports the German Coffee Industry in Complying with the German Supply Chain Due Diligence Law
GRAS innovative platform for palm oil risk assessment
Introduction to ARIA platform the new GRAS service for palm risk assessment.
GRAS presents at the Food Security Standard (FSS) Due Diligence Webinar on the 29th of November 2022
GRAS is part of the Food Security Standard (FSS) Due Diligence Webinar Series, presenting solutions for companies to conduct risk analyses along the supply chain and the progress on the integration of food security criteria into the GRAS Tool.
The Bioeconomy Monitoring Hub
21 Feb 2022 – The SYMOBIO research team is developing systemic monitoring – and a new website, which is being set up as a central platform for bioeconomy monitoring. GRAS will contribute with the expertise in Remote Sensing to the holistic picture of bioeconomy within this research project.
Explore dataset for China and India in the GRAS Tool
23 April 2020 – GRAS Tool is now available for 48 different countries providing relevant information on biodiversity, carbon stock land use change, social indices and fire. Explore the full range of functionalities and datasets within the GRAS Tool.
Thailand, Vietnam and Kenya now available in the GRAS Tool
12 Sept 2019 – Information on biodiversity, land use change, carbon stock and social indices are now available for a total of 46 countries. Access the GRAS Tool and explore its various functionalities and datasets.
Clarifying these questions on a field visit can be extremely difficult and time-consuming
Satellite images allow the efficient analysis of the land history prior to an on-site audit. The usage of data from different points in time allows the analysis of changes over time and is used by GRAS to identify areas of land use change with cut-off-dates individually set by our customers.
GRAS uses remote sensing data from a wide range of sensors, mostly carried on satellites, to perform sustainability analyses in a respective region or for a certain problem. High-resolution images (e.g. Sentinel, Landsat) are continuously processed with high-quality algorithms to identify and verify deforestation and other kinds of land use change.
GRAS takes advantages of the fast developments in the field of remote sensing technology:
- The spatial and temporal resolution of the sensors improves constantly
- Availability of freely accessible satellite images increases and allows cost-efficient solutions
- The quality of available data increases with every mission that is sent into the earths’ orbit
The images demonstrate the differences in spatial resolution of different sensors. Left: Landsat 8 (30 m resolution); Center: Sentinel 2 (10 m resolution), Right: Aerial image