[HTML][HTML] Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends

NC Coops, P Tompalski, TRH Goodbody… - Remote Sensing of …, 2021 - Elsevier
Light detection and ranging (lidar) data acquired from airborne or spaceborne platforms
have revolutionized measurement and map** of forest attributes. Airborne data are often …

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 …

Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

L Duncanson, JR Kellner, J Armston, R Dubayah… - Remote Sensing of …, 2022 - Elsevier
Abstract NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne
full waveform lidar data with a primary science goal of producing accurate estimates of forest …

Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery

RM David, NJ Rosser, DNM Donoghue - Remote Sensing of Environment, 2022 - Elsevier
Having the ability to make accurate assessments of above ground biomass (AGB) at high
spatial resolution is invaluable for the management of dryland forest resources in areas at …

[HTML][HTML] High-resolution map** of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data

W Li, Z Niu, R Shang, Y Qin, L Wang, H Chen - International Journal of …, 2020 - Elsevier
Forest canopy height is an important indicator of forest carbon storage, productivity, and
biodiversity. The present study showed the first attempt to develop a machine-learning …

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S **, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

D Lu, Q Chen, G Wang, L Liu, G Li… - International Journal of …, 2016 - Taylor & Francis
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …

[書籍][B] LiDAR remote sensing and applications

P Dong, Q Chen - 2017 - taylorfrancis.com
Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

Development and performance evaluation of a very low-cost UAV-LiDAR system for forestry applications

T Hu, X Sun, Y Su, H Guan, Q Sun, M Kelly, Q Guo - Remote Sensing, 2020 - mdpi.com
Accurate and repeated forest inventory data are critical to understand forest ecosystem
processes and manage forest resources. In recent years, unmanned aerial vehicle (UAV) …

Registration of laser scanning point clouds: A review

L Cheng, S Chen, X Liu, H Xu, Y Wu, M Li, Y Chen - Sensors, 2018 - mdpi.com
The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become
important for geospatial data applications. This paper presents a comprehensive review of …