[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 …

Estimation of LAI with the LiDAR technology: A review

Y Wang, H Fang - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …

Map** global forest canopy height through integration of GEDI and Landsat data

P Potapov, X Li, A Hernandez-Serna… - Remote Sensing of …, 2021 - Elsevier
Consistent, large-scale operational monitoring of forest height is essential for estimating
forest-related carbon emissions, analyzing forest degradation, and quantifying the …

State-wide forest canopy height and aboveground biomass map for New York with 10 m resolution, integrating GEDI, Sentinel-1, and Sentinel-2 data

H Tamiminia, B Salehi, M Mahdianpari, T Goulden - Ecological informatics, 2024 - Elsevier
Investigating the quantity of forest aboveground biomass (AGB) is crucial for understanding
the role forests play in the global carbon cycle. The canopy height model (CHM) is a critical …

[HTML][HTML] Estimation of forest above-ground biomass by geographically weighted regression and machine learning with sentinel imagery

L Chen, C Ren, B Zhang, Z Wang, Y ** global forest aboveground biomass with spaceborne LiDAR, optical imagery, and forest inventory data
T Hu, Y Su, B Xue, J Liu, X Zhao, J Fang, Q Guo - Remote Sensing, 2016 - mdpi.com
As a large carbon pool, global forest ecosystems are a critical component of the global
carbon cycle. Accurate estimations of global forest aboveground biomass (AGB) can …

Future biomass carbon sequestration capacity of Chinese forests

Y Yao, S Piao, T Wang - Science Bulletin, 2018 - Elsevier
Chinese forests, characterized by relatively young stand age, represent a significant
biomass carbon (C) sink over the past several decades. Nevertheless, it is unclear how …

[HTML][HTML] Using ICESat-2 to estimate and map forest aboveground biomass: A first example

LL Narine, SC Popescu, L Malambo - Remote Sensing, 2020 - mdpi.com
National Aeronautics and Space Administration's (NASA's) Ice, Cloud, and land Elevation
Satellite-2 (ICESat-2) provides rich insights over the Earth's surface through elevation data …

Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics

H Padalia, A Prakash, T Watham - Ecological Informatics, 2023 - Elsevier
To better understand forest carbon budgets and design forest-based climate change
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …

Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data

RV Leite, CA Silva, EN Broadbent… - Remote Sensing of …, 2022 - Elsevier
Quantifying fuel load over large areas is essential to support integrated fire management
initiatives in fire-prone regions to preserve carbon stock, biodiversity and ecosystem …