Multi-Sensor Sar Data for Improved Modeling of Microwave Brightness Temperature over Boreal Forest

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Research units

  • German Aerospace Center


Here, we investigate multiple ways of assimilating synthetic aperture radar (SAR) data to L-band Microwave Emission of the Biosphere (L-MEB) model to enhance the model performance over forested areas in the boreal zone. Land C-band satellite SAR backscatter data, X-band interferometric SAR coherence, as well as auxiliary data layers from forest authorities are used as a proxy in calculating the forest transmissivity, instead of traditionally used leaf area index (LAI) parameter.

Our earlier experiments have shown, that when particularly ALOS PALSAR (L-band) and multitemporal composite Sentinel-1 (C-band) data were applied, an improved agreement was achieved between the measured and simulated brightness temperatures (TBs) over forests. Here, we extend our analysis and examine data acquired by ALOS PALSAR, ESA Sentinel-1, and TanDEM-X mission of DLR, as well as several other auxiliary datasets on forest parameters. Our proposed model based approach indicates the potential of an SAR-based estimation of forest volume transmissivity and represents a viable way of active-passive microwave satellite data fusion and incorporating readily available reference data.


Original languageEnglish
Title of host publicationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventInternational Geoscience and Remote Sensing Symposium - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38

Publication series

NameIEEE International Symposium on Geoscience and Remote Sensing IGARSS
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003


ConferenceInternational Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS
Internet address

    Research areas

  • microwave radiometry, remote sensing, soil moisture, synthetic aperture radar (SAR), interferometric SAR coherence, forest stem volume, ALOS PALSAR, Sentinel-1, TanDEM-X, RADAR BACKSCATTER, STEM VOLUME, SOIL, RETRIEVAL

ID: 31380166