[HTML][HTML] lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
Airborne laser scanning (ALS) is a remote sensing technology known for its applicability in
natural resources management. By quantifying the three-dimensional structure of vegetation …
natural resources management. By quantifying the three-dimensional structure of vegetation …
Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire …
Forested environments are subject to large and high intensity unplanned fire events, owing
to, among other factors, the high quantity and complex structure of fuel in these …
to, among other factors, the high quantity and complex structure of fuel in these …
Mapping understory plant communities in deciduous forests from Sentinel-2 time series
Understory plant communities are an integral component of deciduous forests, playing a
vital role in the overall health of the ecosystem. However, remote sensing of understory plant …
vital role in the overall health of the ecosystem. However, remote sensing of understory plant …
Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future …
Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …
structure variables in various disciplines and applications. Ground-and aerial-based …
[HTML][HTML] Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD …
L Huo, E Lindberg, J Holmgren - Remote Sensing of Environment, 2022 - Elsevier
Obtaining low vegetation data is important in order to quantify the structural characteristics of
a forest. Dense three-dimensional (3D) laser scanning data can provide information on the …
a forest. Dense three-dimensional (3D) laser scanning data can provide information on the …
Recursive feature elimination and random forest classification of natura 2000 grasslands in lowland river valleys of poland based on airborne hyperspectral and …
L Demarchi, A Kania, W Ciężkowski, H Piórkowski… - Remote Sensing, 2020 - mdpi.com
The use of hyperspectral (HS) and LiDAR acquisitions has a great potential to enhance
mapping and monitoring practices of endangered grasslands habitats, beyond conventional …
mapping and monitoring practices of endangered grasslands habitats, beyond conventional …
[HTML][HTML] Assessing biodiversity using forest structure indicators based on airborne laser scanning data
The role of forests in biodiversity assessment and planning is substantial as these
ecosystems support approximately 80% of the world's terrestrial biodiversity. Forests provide …
ecosystems support approximately 80% of the world's terrestrial biodiversity. Forests provide …
Mapping understory vegetation density in Mediterranean forests: insights from airborne and terrestrial laser scanning integration
The understory is an essential ecological and structural component of forest ecosystems.
The lack of efficient, accurate, and objective methods for evaluating and quantifying the …
The lack of efficient, accurate, and objective methods for evaluating and quantifying the …
A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data
P Crespo-Peremarch, RA Fournier, VT Nguyen… - Forest ecology and …, 2020 - Elsevier
Laser scanning has the potential to accurately detect the vertical distribution of forest
vegetative components. However, limitations are present and vary according to the system's …
vegetative components. However, limitations are present and vary according to the system's …
Classification of mediterranean shrub species from UAV point clouds
Modelling fire behaviour in forest fires is based on meteorological, topographical, and
vegetation data, including species' type. To accurately parameterise these models, an …
vegetation data, including species' type. To accurately parameterise these models, an …