Multiport vector network analyzer radar for tomographic forest scattering measurements
Journal article, 2018

We describe a P-, L- A nd C-band radar, BorealScat, designed for polarimetric time-series measurements of forests. Radar tomography is implemented with a vertical antenna array, which provides measurements of the vertical scattering distribution. To minimize temporal decorrelation, the radar performs simultaneous measurements of the reflected signals using all array elements. The system is implemented using a 20-port vector network analyzer (VNA) and a stepped-frequency waveform. It has two 20-element arrays: One array optimized for P- A nd L-bands and one for C-band. The arrays are installed on a 50-m high tower and radar measurements are collected over a hemiboreal forest stand. We discuss several design issues and demonstrate some tomographic imaging capabilities. The multiport VNA tomography results are compared with results from the system operating in the slower 2-port VNA measurement scheme.

radar

time series

forest

vector network analyzer (VNA)

scattering

polarimetry

tomography

BorealScat

Author

Lars Ulander

Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing

Albert Monteith

Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing

Maciej Soja

Horizon Geoscience Consulting

University of Tasmania

Leif Eriksson

Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing

IEEE Geoscience and Remote Sensing Letters

1545-598X (ISSN)

Vol. 15 12 1897-1901 8454809

Tower-based radar and geophysical measurements during the BorealScat experiment

European Space Research and Technology Centre (ESA ESTEC), 2016-11-01 -- 2018-04-30.

European Space Agency (ESA), 2016-11-01 -- 2018-04-30.

Forest biomass and biomass change with spaceborne SAR

Swedish National Space Board, 2017-01-01 -- 2018-12-31.

Subject Categories

Telecommunications

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/LGRS.2018.2865673

More information

Latest update

12/9/2019