Estimation of Stem Density in Hemi-Boreal Forests using Airborne Low-Frequency Synthetic Aperture Radar
Paper in proceeding, 2020

In this study, Synthetic Aperture Radar (SAR) backscatter data from the Swedish airborne CARABAS-II and LORA systems were used to estimate stem density. The analysis were performed at the test site Remingstorp, located in the south of Sweden, consisting mainly of coniferous in hemi-boreal forests. In total, ten 80 m × 80 m forested areas, where all trees were measured in situ, with stem densities in the range of 278-552 stems and stem volumes in the range of 70-550 m3 ha-1 were analysed. SAR data from CARABAS-II and LORA were acquired in 2006 with nine unique flight headings. Local maxima of the backscatter were used to estimate stem density. The results were compared with in situ data and the accuracy in terms of root mean square error (RMSE) for CARABAS-II and LORA were found to be 81 stems (20.9%) and 82 stems (20.2%), respectively, in the best cases. The accuracy assessment of the stem density were performed after averaging images from each SAR system. This was done in order to suppress noise to a greater extent compared to using single images. The results show a potential to estimate stem density with low-freqency SAR data for the benefit of forest management.

backscatter

LORA

forest management

estimation

SAR

CARABAS-II

stem density

Author

Johan E.S. Franssen

Swedish University of Agricultural Sciences (SLU)

J. Wallerman

Swedish University of Agricultural Sciences (SLU)

H. Persson

Swedish University of Agricultural Sciences (SLU)

Lars Ulander

Electric, Computer, IT and Industrial Engineering

International Geoscience and Remote Sensing Symposium (IGARSS)

4152-4155 9323937

2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Virtual, Waikoloa, USA,

Subject Categories

Remote Sensing

Forest Science

Geophysics

DOI

10.1109/IGARSS39084.2020.9323937

More information

Latest update

3/15/2021