Remote sensing technologies for enhancing forest inventories: A review

JC White, NC Coops, MA Wulder… - Canadian Journal of …, 2016 - Taylor & Francis
Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …

[HTML][HTML] Remote sensing methods for power line corridor surveys

L Matikainen, M Lehtomäki, E Ahokas, J Hyyppä… - ISPRS Journal of …, 2016 - Elsevier
To secure uninterrupted distribution of electricity, effective monitoring and maintenance of
power lines are needed. This literature review article aims to give a wide overview of the …

A review of tree species classification based on airborne LiDAR data and applied classifiers

M Michałowska, J Rapiński - Remote Sensing, 2021 - mdpi.com
Remote sensing techniques, developed over the past four decades, have enabled large-
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …

Trends in automatic individual tree crown detection and delineation—Evolution of LiDAR data

Z Zhen, LJ Quackenbush, L Zhang - Remote Sensing, 2016 - mdpi.com
Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …

Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

W Li, Z Niu, H Chen, D Li, M Wu, W Zhao - Ecological indicators, 2016 - Elsevier
Canopy height (H canopy) and aboveground biomass (AGB) of crops are two basic agro-
ecological indicators that can provide important indications on the growth, light use …

Deep learning based retrieval of forest aboveground biomass from combined LiDAR and landsat 8 data

L Zhang, Z Shao, J Liu, Q Cheng - Remote Sensing, 2019 - mdpi.com
Estimation of forest aboveground biomass (AGB) is crucial for various technical and
scientific applications, ranging from regional carbon and bioenergy policies to sustainable …

Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories

S Tao, F Wu, Q Guo, Y Wang, W Li, B Xue, X Hu… - ISPRS Journal of …, 2015 - Elsevier
The rapid development of light detection and ranging (LiDAR) techniques is advancing
ecological and forest research. During the last decade, numerous single tree segmentation …

Estimating tree height and diameter at breast height (DBH) from digital surface models and orthophotos obtained with an unmanned aerial system for a Japanese …

K Iizuka, T Yonehara, M Itoh, Y Kosugi - Remote sensing, 2017 - mdpi.com
Methods for accurately measuring biophysical parameters are a key component for
quantitative evaluation regarding to various forest applications. Conventional in situ …

International benchmarking of the individual tree detection methods for modeling 3-D canopy structure for silviculture and forest ecology using airborne laser scanning

Y Wang, J Hyyppä, X Liang, H Kaartinen… - … on Geoscience and …, 2016 - ieeexplore.ieee.org
Canopy structure plays an essential role in biophysical activities in forest environments.
However, quantitative descriptions of a 3-D canopy structure are extremely difficult because …

Comparing individual tree height information derived from field surveys, LiDAR and UAV-DAP for high-value timber species in Northern Japan

KT Moe, T Owari, N Furuya, T Hiroshima - Forests, 2020 - mdpi.com
High-value timber species such as monarch birch (Betula maximowicziana Regel), castor
aralia (Kalopanax septemlobus (Thunb.) Koidz), and Japanese oak (Quercus crispula …