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 …

[HTML][HTML] Estimation of tree height and aboveground biomass of coniferous forests in North China using stereo ZY-3, multispectral Sentinel-2, and DEM data

Y Wang, X Zhang, Z Guo - Ecological Indicators, 2021 - Elsevier
The forest tree height and aboveground biomass (AGB) are important indicators for
monitoring changes and trends in forest carbon storage and terrestrial carbon fluxes …

Optimal combination of predictors and algorithms for forest above-ground biomass mapping from Sentinel and SRTM data

L Chen, Y Wang, C Ren, B Zhang, Z Wang - Remote Sensing, 2019 - mdpi.com
Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining forest
management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) …

[HTML][HTML] Estimating urban greenness index using remote sensing data: A case study of an affluent vs poor suburbs in the city of Johannesburg

K Abutaleb, MF Mudede, N Nkongolo… - The Egyptian Journal of …, 2021 - Elsevier
The importance of urban green space has over the years grown into an indispensable
component of green infrastructure incorporated in urban planning and design as investment …

A proposed ensemble feature selection method for estimating forest aboveground biomass from multiple satellite data

Y Zhang, J Liu, W Li, S Liang - Remote Sensing, 2023 - mdpi.com
Feature selection (FS) can increase the accuracy of forest aboveground biomass (AGB)
prediction from multiple satellite data and identify important predictors, but the role of FS in …

A global analysis of the cost-efficiency of forest carbon sequestration

RQ Grafton, HL Chu, H Nelson, G Bonnis - 2021 - oecd-ilibrary.org
This paper proposes a ranking of the countries where forest carbon sequestration is the
most cost-efficient among 166 countries for which data are available. Taking into account the …

Multi-sensor aboveground biomass estimation in the broadleaved Hyrcanian forest of Iran

G Ronoud, P Fatehi, AA Darvishsefat… - Canadian journal of …, 2021 - Taylor & Francis
In this study, the capability of Landsat-8 (L8), Sentinel-2 (S2), Sentinel-1 (S1), and their
combination was investigated for estimating aboveground biomass (AGB). A pure stand of …

Assessing relationship of forest biophysical factors with NDVI for carbon management in key coniferous strata of temperate Himalayas

AA Wani, AF Bhat, AA Gatoo, S Zahoor… - … Adaptation Strategies for …, 2021 - Springer
Assessing biophysical variables are essential for evaluation of carbon dynamics due to
anthropogenic activities. Biomass carbon is an important biophysical parameter of forest …

Mangrove forest classification and aboveground biomass estimation using an atom search algorithm and adaptive neuro-fuzzy inference system

MH Pham, TH Do, VM Pham, QT Bui - Plos one, 2020 - journals.plos.org
Background Advances in earth observation and machine learning techniques have created
new options for forest monitoring, primarily because of the various possibilities that they …

Evaluation of Different Algorithms for Estimating the Growing Stock Volume of Pinus massoniana Plantations Using Spectral and Spatial Information from a SPOT6 …

J Zhou, Z Zhou, Q Zhao, Z Han, P Wang, J Xu, Y Dian - Forests, 2020 - mdpi.com
Precise growing stock volume (GSV) estimation is essential for monitoring forest carbon
dynamics, determining forest productivity, assessing ecosystem forest services, and …