Her primary scientific interests are in Remote sensing, Land cover, Synthetic aperture radar, Radar and Taiga. Her work in the fields of Lidar overlaps with other areas such as Stock. Christiane Schmullius has included themes like Satellite imagery, Plant cover, Interoperability, Random forest and Thematic map in her Land cover study.
Her study looks at the intersection of Synthetic aperture radar and topics like Radar imaging with Sensor fusion, Data integration, Radiosity and Change detection. The study incorporates disciplines such as Shuttle Radar Topography Mission and Meteorology in addition to Radar. Christiane Schmullius has researched Taiga in several fields, including Boreal, Soil water, Canopy, L band and Backscatter.
Her primary areas of investigation include Remote sensing, Land cover, Synthetic aperture radar, Vegetation and Earth observation. Her Remote sensing research includes elements of Radar, Satellite and Taiga. Her studies deal with areas such as Cartography, Permafrost and Random forest as well as Land cover.
Her Synthetic aperture radar research incorporates elements of Image resolution, Space-based radar, Radar imaging and Backscatter. The various areas that Christiane Schmullius examines in her Vegetation study include Biomass, Canopy, Precipitation, Physical geography and Scale. Spatial data infrastructure is closely connected to Geospatial analysis in her research, which is encompassed under the umbrella topic of Earth observation.
Her scientific interests lie mostly in Remote sensing, Remote sensing, Ecosystem, Lidar and Scale. Her Remote sensing study integrates concerns from other disciplines, such as Earth observation and Vegetation. Her work in Remote sensing addresses issues such as Biodiversity, which are connected to fields such as Terrain, Geomorphology, Ecosystem model and Landform.
Her study in the field of Ecosystem management is also linked to topics like Vegetation. Her Lidar research focuses on Satellite and how it connects with Satellite imagery and Transect. Her study focuses on the intersection of Scale and fields such as Digital elevation model with connections in the field of GNSS applications.
Remote sensing, Ecosystem, Remote sensing, Biomass and Scale are her primary areas of study. Her Remote sensing study focuses on Spatial distribution in particular. Her Ecosystem research is multidisciplinary, incorporating elements of Hydrology, National park, Vegetation cover and Surface moisture.
Her Remote sensing study combines topics in areas such as Biodiversity and Geodiversity. Her Biomass study incorporates themes from Canopy, Atmospheric sciences, Precipitation, Arid and Fire regime. As a part of the same scientific family, Christiane Schmullius mostly works in the field of Scale, focusing on Lidar and, on occasion, Satellite and Spatial ecology.
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Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets
M. Herold;P. Mayaux;C.E. Woodcock;A. Baccini.
Remote Sensing of Environment (2008)
Model–data synthesis in terrestrial carbon observation: methods, data requirements and data uncertainty specifications
M. R. Raupach;P. J. Rayner;D. J. Barrett;R. S. DeFries.
Global Change Biology (2005)
Carbon stock and density of northern boreal and temperate forests
Global Ecology and Biogeography (2014)
Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements
Remote Sensing of Environment (2011)
Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda
Valerio Avitabile;Alessandro Baccini;Mark A. Friedl;Christiane Schmullius.
Remote Sensing of Environment (2012)
A joint initiative for harmonization and validation of land cover datasets
M. Herold;C.E. Woodcock;Antonio di Gregorio;P. Mayaux.
IEEE Transactions on Geoscience and Remote Sensing (2006)
Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data
Remote Sensing of Environment (2003)
Global biomass mapping for an improved understanding of the CO2 balance—the Earth observation mission Carbon-3D
S. Hese;W. Lucht;C. Schmullius;M. Barnsley.
Remote Sensing of Environment (2005)
Overview of results of Spaceborne Imaging Radar-C, X-Band Synthetic Aperture Radar (SIR-C/X-SAR)
E.R. Stofan;D.L. Evans;C. Schmullius;B. Holt.
IEEE Transactions on Geoscience and Remote Sensing (1995)
Assessment of stand-wise stem volume retrieval in boreal forest from JERS-1 L-band SAR backscatter
M. Santoro;Leif E.B. Eriksson;Jan Askne;C. Schmullius.
International Journal of Remote Sensing (2006)
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