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 …

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 …

Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals

A Liu, X Cheng, Z Chen - Remote Sensing of Environment, 2021 - Elsevier
With the advent of the next generation of space-based laser altimeters, ICESat-2 and GEDI,
we are entering an exciting era of active remote sensing of forests that offers unprecedented …

[HTML][HTML] The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth's forests and topography

R Dubayah, JB Blair, S Goetz, L Fatoyinbo… - Science of remote …, 2020 - Elsevier
Obtaining accurate and widespread measurements of the vertical structure of the Earth's
forests has been a long-sought goal for the ecological community. Such observations are …

Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

N Lang, N Kalischek, J Armston, K Schindler… - Remote sensing of …, 2022 - Elsevier
Abstract NASA's Global Ecosystem Dynamics Investigation (GEDI) is a key climate mission
whose goal is to advance our understanding of the role of forests in the global carbon cycle …

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

W Jiao, L Wang, MF McCabe - Remote Sensing of Environment, 2021 - Elsevier
Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …

[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 …

Characterizing the structural complexity of the Earth's forests with spaceborne lidar

T de Conto, J Armston, R Dubayah - Nature Communications, 2024 - nature.com
Forest structural complexity is a key element of ecosystem functioning, impacting light
environments, nutrient cycling, biodiversity, and habitat quality. Addressing the need for a …

GEDI launches a new era of biomass inference from space

R Dubayah, J Armston, SP Healey… - Environmental …, 2022 - iopscience.iop.org
Accurate estimation of aboveground forest biomass stocks is required to assess the impacts
of land use changes such as deforestation and subsequent regrowth on concentrations of …