Our latest headlines

February 2017 | GlobBiomass concludes second user workshop
This week, RSS GmbH joined GlobBiomass partners in Helsinki to share the latest advances in monitoring aboveground biomass (AGB). GlobBiomass is taking a synergistic approach to modelling by incorporating a multitude of datasets (e.g. SAR, LiDAR,optical, in-situ...) into their work. The refined AGB estimates resulting from this endeavour will ultimately aid users active in fields such as carbon accounting, or those partaking in initiatives such as REDD+.

For more information on this project, please visit the GlobBiomass website.

Image: AGB model derived from radar data and displaying tonnes of biomass per hectare
January 2017 | The state of Indonesia's forests
Our team was on the ground last summer following Indonesia's extensive forest fires. This short video reveals the devestating forest and habitat loss they witnessed in Kalimantan.

For more information on our latest fire-related research, visit or click here for more information regarding our fire-related services.
January 2017 | First ultra-resolution 3D prints of the German Alps
RSS, in cooperation with 3D Reality Maps, is pleased to announce the very first ultra-resolution 3D model of Karwendelstein ( a mountain range situated in the German Alps), complete with exquisite details and geographic accuracy. The models make a beautiful, fun and successful marketing tool for customers to interact with on-site.
December 2016 | Happy holidays from the team at RSS and 3D Reality Maps
RSS GmbH wishes you happy holidays and a great start to the new year!
December 2016 | RSS advises ASEAN Working Group on Climate Change (AWGCC)
RSS joined ASEAN decision makers on December 12th for a workshop on reporting greenhouse gas emissions in the Land Use, Land-Use Change & Forestry (LULUCF) sector. During the two-day workshop, RSS advised and lead discussions concerning MRV in REDD projects, carbon accounting, peatland management and climate change mitigation. Country-specific case studies and strategies were also presented for review. Our thanks go to the GIZ, Singapore's National Environment Agency and ASEAN secretariat for making this event possible.
November 2016 | Bioclime completed successfully
Results from our BIOCLIME project have been compiled and released, documenting invaluable information on Indonesian carbon stock fluxes and land cover changes between 2014 and 2016. These are of immense importance to local municipalities in Sumatra, as well as international stakeholders. The project's maps and statistics will predominantly help prevent illegal plantation expansion, illegal deforestation and the negative effects of climate change in the nine districs addressed.

Image: Excerpts from our landcover (top) and carbon stock (bottom) maps for 2014 (left) and 2016 (right) within KPHP Lalan
October 2016 | RSS explains palm oil exploitation on German television
Recently, ARD visited our offices to learn about monitoring and preventing illegal palm oil plantations. The video released by the German television programme provides a brief insight into our work and the valuable role remote sensing plays in protecting our environment.

Watch the full video on palm oil here or skip to our contribution at 12:50.
September 2016 | Poster award at the 15th International Peat Congress

RSS participated in the 15th International Peat Congress in Kuching, Malaysia and won the best poster award. The poster presented our damage assessment of the 2015 fire catastrophe in Indonesia. Imagery from Sentinel-1 allowed us to produce comprehensive burned area maps and fire emission estimates for our "ESA cci_fire" project.

August 2016 | TET-1 detects twice as many fires as MODIS
Our latest scientific publication demonstrates how the new TET-1 satellite detects twice the number of hotspots found using MODIS products. Atwood's finding has vast implications for fire management and monitoring worldwide. To read the exciting details released on PLOS this month, visit the following link:
July 2016 | A preview into the latest advances in fire detection
Last year, we reported on the latest technology being employed to map fires across Indonesia. This month, Elizabeth Atwood's article on peat fire detection and FireBird technology will dive into the details. In the meantime and before the big reveal on PLOS, take a peak at the abstract below!

Detection and Characterization of Low Temperature Peat Fires During the 2015 Fire Catastrophe in Indonesia Using a New High-Sensitivity Fire Monitoring Satellite Sensor (FireBird)

Elizabeth C. Atwood1,2*, Sandra Englhart2, Eckehard Lorenz3, Winfried Halle3, Werner Wiedemann2, Florian Siegert1,2

Vast and disastrous fires occurred on Borneo during the 2015 dry season, pushing Indonesia into the top five carbon emitting countries. The region was affected by a very strong El Niño-Southern Oscillation (ENSO) climate phenomenon, on par with the last severe event in 1997/98. Fire dynamics in Central Kalimantan were investigated using an innovative sensor offering higher sensitivity to a wider range of fire intensities at a finer spatial resolution (160 m) than heretofore available. The sensor is onboard the TET-1 satellite, part of the German Aerospace Center (DLR) FireBird mission. TET-1 images (acquired every 2-3 days) from the middle infrared were used to detect fires continuously burning for almost three weeks in the protected peatlands of Sebangau National Park as well as surrounding areas with active logging and oil palm concessions. TET-1 detection capabilities were compared with MODIS active fire detection and Landsat burned area algorithms. Fire dynamics, including fire front propagation speed and area burned, were investigated. We show that TET-1 has improved detection capabilities over MODIS in monitoring low-intensity peatland fire fronts through thick smoke and haze. Analysis of fire dynamics revealed that the largest burned areas resulted from fire front lines started from multiple locations, and the highest propagation speeds were in excess of 500 m/day (all over peat > 2m deep). Fires were found to occur most often in concessions that contained drainage infrastructure but were not cleared prior to the fire season. Benefits of implementing this sensor system to improve current fire management techniques are discussed. Near real-time fire detection together with enhanced fire behavior monitoring capabilities would not only improve firefighting efforts, but also benefit analysis of fire impact on tropical peatlands, greenhouse gas emission estimations as well as mitigation measures to reduce severe fire events in the future.

Image: active fire fronts expand around a burn scar in the bottom four TET images (acquired between September and October 2015) while the Landsat images show the land pre-fire (top left) and growing burn scar boundaries (top right).