Earth observation based monitoring of forests in Germany: a review

S Holzwarth, F Thonfeld, S Abdullahi, S Asam… - Remote Sensing, 2020 - mdpi.com
Forests in Germany cover around 11.4 million hectares and, thus, a share of 32% of
Germany's surface area. Therefore, forests shape the character of the country's cultural …

Review on the possibilities of mapping old-growth temperate forests by remote sensing in Europe

M Hirschmugl, C Sobe, A Di Filippo, V Berger… - … Modeling & Assessment, 2023 - Springer
Old-growth forests (OGF) provide valuable ecosystem services such as habitat provision,
carbon sequestration or recreation maintaining biodiversity, carbon storage, or human well …

Structural diversity as a predictor of ecosystem function

EA LaRue, BS Hardiman, JM Elliott… - Environmental Research …, 2019 - iopscience.iop.org
Biodiversity is believed to be closely related to ecosystem functions. However, the ability of
existing biodiversity measures, such as species richness and phylogenetic diversity, to …

First demonstration of single-pass distributed SAR tomographic imaging with a P-band UAV SAR prototype

Y Wang, Z Ding, L Li, M Liu, X Ma, Y Sun… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
A distributed configuration is a promising realization of tomographic synthetic aperture radar
(TomoSAR) 3-D imaging. It is able to implement single-pass tomographic imaging in a very …

TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono-and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and …

S Tebaldini, MM d'Alessandro, LMH Ulander… - Remote Sensing of …, 2023 - Elsevier
The TomoSense experiment was funded by the European Space Agency (ESA) to support
research on remote sensing of forested areas by means of Synthetic Aperture Radar (SAR) …

Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression models

Y Hu, X Xu, F Wu, Z Sun, H Xia, Q Meng, W Huang… - Remote Sensing, 2020 - mdpi.com
The forest stock volume (FSV) is one of the key indicators in forestry resource assessments
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …

Forest SAR tomography: Principles and applications

H Aghababaei, G Ferraioli, L Ferro-Famil… - … and remote sensing …, 2020 - ieeexplore.ieee.org
Synthetic-aperture radar (SAR) systems are widely used for monitoring vegetation and
forested environments. Those that offer large-scale coverage, short revisiting times, and an …

Mapping floods in lowland forest using sentinel-1 and sentinel-2 data and an object-based approach

M Gašparović, D Klobučar - Forests, 2021 - mdpi.com
The impact of floods on forests is immediate, so it is necessary to quickly define the
boundaries of flooded areas. Determining the extent of flooding in situ has shortcomings due …

Examining the role of UAV Lidar data in improving tree volume calculation accuracy

K Liao, Y Li, B Zou, D Li, D Lu - Remote Sensing, 2022 - mdpi.com
Traditional forest inventories are based on field surveys of established sample plots, which
involve field measurements of individual trees within a sample plot and the selection of …

Synthetic aperture radar for geosciences

L Meng, C Yan, S Lv, H Sun, S Xue, Q Li… - Reviews of …, 2024 - Wiley Online Library
Abstract Synthetic Aperture Radar (SAR) has emerged as a pivotal technology in
geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide …