With the rapid advancements in synthetic aperture radar (SAR) satellites and associated
processing algorithms over recent decades, interferometric SAR (InSAR) has emerged as a …

One-third of Germany's land surface area is covered by forest (around 11.4 million hectares),
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …

Optical remote sensing can effectively capture 2-dimensional (2D) forest information, such
as woodland area and percentage forest cover. However, accurately estimating forest …

Forest aboveground biomass (AGB) retrieval using synthetic aperture radar (SAR)
backscatter has received extensive attention. The water cloud model (WCM), because of its …

Forest height inversion with Polarimetric SAR Interferometry (PolInSAR) has become a
research hotspot in the field of radar remote sensing. In this paper, we systematically studied …

This study aims to reveal the relationships between understory coverage (principally, weed
growth) beneath the canopies of Sumatran eucalyptus plantations and L-band backscatter …

P-band polarimetric interferometric synthetic aperture radar (PolInSAR) has the potential to
map forest height and biomass at the global scale with the upcoming BIOMASS mission …

Model-based forest height inversion from single-and multi-baseline Pol-InSAR data is today
well-established. One of the critical performance points is the parameterisation of the vertical …

The underlying topography and forest height play an indispensable role in many fields,
including geomorphology, civil engineering construction, forest investigation, and the …

Monitoring forest conditions is an essential task in the context of global climate change to
preserve biodiversity, protect carbon sinks and foster future forest resilience. Severe impacts …