In 2016, the BorealScat radar tower experiment was established in a forest site in southern Sweden. The system, based on a 20-channel vector network analyzer, acquires a dense, multi-annual, multi-frequency, multi-polarization tomographic dataset of a forest scene. In this paper we discuss how the system design relates to two performance metrics: backscatter precision and measurement duration. Speckle variance in the time domain is discussed and an approach for avoiding coherent integration loss is presented. These concepts are relevant for any ground-based imaging radar acquiring time series data of dynamic scenes
The compelling evidence for climate change has increased the importance that we understand our envir...
Environmental conditions and seasonal variations affect the backscattered radar signal from a forest...
Microwave Radar is an attractive solution for forest mapping and inventories because microwave signa...
This paper describes results from BorealScat, which is a tower-based P/L/C-band radar being develope...
Radar observations of forests are sensitive to seasonal changes, meteorological variables and variat...
This paper describes the tower-based radar BorealScat, which is being developed for polarimetric, to...
Synthetic aperture radar (SAR) on a satellite platform is a suitable technique for all-weather globa...
We describe a P-, L- A nd C-band radar, BorealScat, designed for polarimetric time-series measuremen...
SAR tomography at P-band allows the separation of scatterers throughout the vertical extent of a for...
Radar sensors have the potential to retrieve vertical forest structure measurements thanks to their ...
Cross-polarized temporal coherence observations of a boreal forest, acquired using a tower-based rad...
The potential of radar-based tree biomass estimation has been studied using polarimetric SAR data fr...
Microwave Radar is an attractive solution for forest mapping and inventories because microwave signa...
This paper deals with a radar ground experiment dedicated to tropical forest backscattering at P ban...
We provide a demonstration of the new tomographic profiling (TP) technique, here applied to forestry...
The compelling evidence for climate change has increased the importance that we understand our envir...
Environmental conditions and seasonal variations affect the backscattered radar signal from a forest...
Microwave Radar is an attractive solution for forest mapping and inventories because microwave signa...
This paper describes results from BorealScat, which is a tower-based P/L/C-band radar being develope...
Radar observations of forests are sensitive to seasonal changes, meteorological variables and variat...
This paper describes the tower-based radar BorealScat, which is being developed for polarimetric, to...
Synthetic aperture radar (SAR) on a satellite platform is a suitable technique for all-weather globa...
We describe a P-, L- A nd C-band radar, BorealScat, designed for polarimetric time-series measuremen...
SAR tomography at P-band allows the separation of scatterers throughout the vertical extent of a for...
Radar sensors have the potential to retrieve vertical forest structure measurements thanks to their ...
Cross-polarized temporal coherence observations of a boreal forest, acquired using a tower-based rad...
The potential of radar-based tree biomass estimation has been studied using polarimetric SAR data fr...
Microwave Radar is an attractive solution for forest mapping and inventories because microwave signa...
This paper deals with a radar ground experiment dedicated to tropical forest backscattering at P ban...
We provide a demonstration of the new tomographic profiling (TP) technique, here applied to forestry...
The compelling evidence for climate change has increased the importance that we understand our envir...
Environmental conditions and seasonal variations affect the backscattered radar signal from a forest...
Microwave Radar is an attractive solution for forest mapping and inventories because microwave signa...