Development of forest aboveground biomass estimation, its problems and future solutions: A review

T Ma, C Zhang, L Ji, Z Zuo, M Beckline, Y Hu, X Li… - Ecological …, 2024 - Elsevier
Forest aboveground biomass (AGB) is crucial as it serves as a fundamental indicator of the
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …

[HTML][HTML] 3D point cloud fusion from UAV and TLS to assess temperate managed forest structures

D Panagiotidis, A Abdollahnejad, M Slavík - International Journal of Applied …, 2022 - Elsevier
Light detection and ranging (LiDAR) technology has become one of the most dominant
acquisition methods for modeling forest attributes, such as very accurate tree structure …

Individual tree segmentation and tree height estimation using leaf-off and leaf-on UAV-LiDAR data in dense deciduous forests

Q Chen, T Gao, J Zhu, F Wu, X Li, D Lu, F Yu - Remote Sensing, 2022 - mdpi.com
Accurate individual tree segmentation (ITS) is fundamental to forest management and to the
studies of forest ecosystem. Unmanned Aerial Vehicle Light Detection and Ranging (UAV …

Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data

Y Quan, M Li, Y Hao, J Liu, B Wang - GIScience & Remote Sensing, 2023 - Taylor & Francis
Recent growth in unmanned aerial vehicle (UAV) technology have promoted the detailed
mapping of individual tree species. However, the in-depth mining and comprehending of the …

[HTML][HTML] Mapping dominant tree species of German forests

T Welle, L Aschenbrenner, K Kuonath, S Kirmaier… - Remote Sensing, 2022 - mdpi.com
The knowledge of tree species distribution at a national scale provides benefits for forest
management practices and decision making for site-adapted tree species selection. An …

[HTML][HTML] A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR

Y Ma, Y Zhao, J Im, Y Zhao, Z Zhen - Ecological Indicators, 2024 - Elsevier
Accurate tree species classification is essential for forest resource management and
biodiversity assessment. However, classifying tree species becomes challenging in natural …

LiDAR Data Fusion to Improve Forest Attribute Estimates: A Review

M Balestra, S Marselis, TT Sankey, C Cabo… - Current Forestry …, 2024 - Springer
Abstract Purpose of the Review Many LiDAR remote sensing studies over the past decade
promised data fusion as a potential avenue to increase accuracy, spatial-temporal …

[HTML][HTML] An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data

Z Zhang, T Wang, AK Skidmore, F Cao, G She, L Cao - Forest Ecosystems, 2023 - Elsevier
The diameter at breast height (DBH) of trees and stands is not only a widely used plant
functional trait in ecology and biodiversity but also one of the most fundamental …

Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area …

Z Zhen, L Yang, Y Ma, Q Wei, HI Jin… - GIScience & Remote …, 2022 - Taylor & Francis
Currently, aboveground biomass (AGB) estimation primarily relies on an area-based
approach (ABA), particularly at a large scale. With the advancement of individual tree …

Combination of UAV photogrammetry and field inventories enables description of height–diameter relationship within semi-arid silvopastoral systems

A Fakhri, H Latifi, K Mohammadi Samani, Z Shakeri… - Remote Sensing, 2023 - mdpi.com
Pollarding oak trees is a traditional silvopastoral technique practiced across wide areas of
the northern Zagros mountains, a unique and vast semi-arid forest area with a strong cultural …