ADVANCED LASER PRODUCTS AT EXCEPTIONALLY FINE RESOLUTIONS. A WORLD OF APPLICATIONS.
LiDAR’s powerful technology delivers highly accurate data in a timely and cost-effective manner. Numerous applications including carbon mapping, REDD+, sustainable logging and site development benefit immensely from this new age of data. Read on to learn more about our exciting new LiDAR services.
LiDAR generates three highly accurate products: digital terrain models, digital surface models and 3D point clouds. If acquired simultaneously with aerial images, these powerful, cost-effective products support a wide range of applications from spatial planning to forest management.Image: Three basic LiDAR products: aerial image (left) digital terrain model (DTM, center) and digital surface model (DSM, right).
LiDAR is an active, optical sensor that employs laser pulses to detect a given target (e.g. tree canopy, ground). The time it takes for the pulse to return from a target allows the device to calculate the distance between sensor and target. When combined with LiDAR’s extremely fine spatial resolution (up to 5 samples/ m2), one can generate highly detailed maps of objects on the ground, beneficial to any number of applications.Image: A LiDAR-based canopy height model (CHM) of an Indonesian rainforest reveals towering, emergent tree crowns (bright red), dense leafy canopies (green, yellow) and the forest floor (dark blue).
Reducing emissions from Deforestation and Forest Degradation (REDD) activities depend on solid science: accurate biomass estimates, canopy height models, forest monitoring and more. LiDAR delivers the most reliable products for these applications, driving robust results.Image: A highly accurate LiDAR model portrays primary lowland forest
With accuracies in the centimeter range, LiDAR generates excellent aboveground biomass (AGB) models. Derivatives of these models include information on carbon stocks and emission fluxes, which aid green initiatives like High Carbon Stock (HCS), and sustainable monitoring programs.Image: Carbon stock map, derived from forest inventory, LiDAR and land cover data. Stocks (in tonnes of carbon per hectare) range from 0 (bright green) to over 175 (dark red). Product compiled for GIZ FORCLIME project.
CHANGES IN FOREST CANOPY
LiDAR technology ‘sees’ through vegetation layers, right down to the ground. As a result, it is used to accurately map the three-dimensional structure of forest canopies. These products reveal changes in vegetation composition, biomass and biodiversity at unprecedented levels of detail and accuracy.Image: LiDAR Forest model.
Konecny K., U. Ballhorn, P. Navratil, J. Jubanski, S.E. Page, K. Tansey, A. Hooijer, R. Vernimmen & F. Siegert (2015). Variable carbon losses from recurrent fires in drained tropical peatlands. Global Change Biology 2015, 10.1111/gcb.13186
Englhart S., J. Jubanski & F. Siegert (2013). Quantifying dynamics in tropical peat swamp forest biomass with multi-temporal LiDAR datasets. Remote Sensing, Vol. 5, 2368-2388; doi:10.3390/rs5052368
Jubanski J, U. Ballhorn, K. Kronseder, J. Franke & F. Siegert (2013). Detection of large above-ground biomass variability in lowland forest ecosystems by airborne LiDAR. Biogeosciences, 10, 3917–3930, 2013. doi:10.5194/bg-10-3917-2013
Englhart S., V. Keuck &, F. Siegert (2012). Modeling Aboveground Biomass inTropical Forests Using Multi-Frequency SAR Data—A Comparison of Methods. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5, No. 1, February 2012
Englhart S., V. Keuck &, F. Siegert (2011). Aboveground biomass retrieval in tropical forests — The potential of combined X- and L-band SAR data use. Remote Sensing of Environment 115 (2011) 1260–1271
Kronseder K, U. Ballhorn, V. Böhm & F. Siegert (2012). Above ground biomass estimation across forest types at different degradation levels in Central Kalimantan using LiDAR data. International Journal of Applied Earth Observation and Geoinformation 18 (2012) 37–48
Ballhorn U., J. Jubanski & F. Siegert (2011). ICESat/GLAS Data as a Measurement Tool for Peatland Topography and Peat Swamp Forest Biomass in Kalimantan, Indonesia. Remote Sens. 2011, 3, 1957-1982; doi:10.3390/rs3091957
Ballhorn U., F. Siegert, M. Mason & S. Limin (2009). Derivation of burn scar depths and estimation of carbon emissions with LIDAR in Indonesian peatlands. Proc Natl Acad Sci USA, December 15, 2009 vol. 106 no. 50, 21213-21218