LiDAR applications to estimate forest biomass at individual tree scale: Opportunities, challenges and future perspectives

D Xu, H Wang, W Xu, Z Luan, X Xu - Forests, 2021 - mdpi.com
Accurate forest biomass estimation at the individual tree scale is the foundation of timber
industry and forest management. It plays an important role in explaining ecological issues …

Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation

S Luo, C Wang, X Xi, F Pan, D Peng, J Zou, S Nie… - Ecological …, 2017 - Elsevier
Vegetation biomass is a key biophysical parameter for many ecological and environmental
models. The accurate estimation of biomass is essential for improving the accuracy and …

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 …

Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations

C Babcock, AO Finley, HE Andersen, R Pattison… - Remote Sensing of …, 2018 - Elsevier
Lidar provides critical information on the three-dimensional structure of forests. However,
collecting wall-to-wall laser altimetry data at regional and global scales is cost prohibitive. As …

Identification of fine scale and landscape scale drivers of urban aboveground carbon stocks using high-resolution modeling and mapping

MGE Mitchell, K Johansen, M Maron… - Science of the total …, 2018 - Elsevier
Urban areas are sources of land use change and CO 2 emissions that contribute to global
climate change. Despite this, assessments of urban vegetation carbon stocks often fail to …

Hierarchical integration of individual tree and area-based approaches for savanna biomass uncertainty estimation from airborne LiDAR

G Goldbergs, SR Levick, M Lawes… - Remote sensing of …, 2018 - Elsevier
Understanding the role that the vast north Australian savannas play in the continental
carbon cycle requires reliable quantification of their carbon stock at landscape and regional …

Estimation of forest aboveground biomass and leaf area index based on digital aerial photograph data in Northeast China

D Li, X Gu, Y Pang, B Chen, L Liu - Forests, 2018 - mdpi.com
Forest aboveground biomass (AGB) and leaf area index (LAI) are two important parameters
for evaluating forest growth and health. It is of great significance to estimate AGB and LAI …

Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors

SH Zhang, L He, JZ Duan, SL Zang, TC Yang… - Precision …, 2024 - Springer
Aboveground biomass is an important indicator used to characterize the growth status of
crops, as well as an important physical and chemical parameter in agroecosystems …

Forest carbon stock and biomass estimation in West Central India using two allometric models

OR Salunkhe, GR Valvi, S Singh, GM Rane, ML Khan… - Carbon Research, 2023 - Springer
The west central Indian forest ecosystems strongly contribute to livelihood of local human
communities as well as climate change mitigation. However, due to the lack of accurate …

[HTML][HTML] Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic …

J Heiskanen, H Adhikari, R Piiroinen… - International Journal of …, 2019 - Elsevier
Airborne laser scanning (ALS) is considered as the most accurate remote sensing data for
the predictive modelling of AGB. However, tropical landscapes experiencing land use …