LiDAR

ADVANCED LASER PRODUCTS AT EXCEPTIONALLY FINE RESOLUTIONS. A WORLD OF APPLICATIONS.

PRODUCTS

Image: Three basic LiDAR products: aerial image (left) digital terrain model (DTM, center) and digital surface model (DSM, right).

BACKGROUND

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).

REDD+

Image: A highly accurate LiDAR model portrays primary lowland forest

CARBON MAPPING

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.

UAV-BORNE LiDAR

CHANGES IN FOREST CANOPY

Image: LiDAR Forest model.

PUBLICATIONS

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