Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR DOI Creative Commons

Lucia Enriquez Pinedo,

Kevin Ortega Quispe,

Dennis Ccopi Trucios

et al.

Trees Forests and People, Journal Year: 2024, Volume and Issue: unknown, P. 100763 - 100763

Published: Dec. 1, 2024

Language: Английский

Progress and Limitations in Forest Carbon Stock Estimation Using Remote Sensing Technologies: A Comprehensive Review DOI Open Access
Weifeng Xu,

Yu-Hao Cheng,

Mengyuan Luo

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 449 - 449

Published: March 2, 2025

Forests play a key role in carbon sequestration and oxygen production. They significantly contribute to peaking neutrality goals. Accurate estimation of forest stocks is essential for precise understanding the capacity ecosystems. Remote sensing technology, with its wide observational coverage, strong timeliness, low cost, stock research. However, challenges data acquisition processing include variability, signal saturation dense forests, environmental limitations. These factors hinder accurate estimation. This review summarizes current state research on from two aspects, namely remote methods, highlighting both advantages limitations various sources models. It also explores technological innovations cutting-edge field, focusing deep learning techniques, optical vegetation thickness impact forest–climate interactions Finally, discusses including issues related quality, model adaptability, stand complexity, uncertainties process. Based these challenges, paper looks ahead future trends, proposing potential breakthroughs pathways. The aim this study provide theoretical support methodological guidance researchers fields.

Language: Английский

Citations

1
Biomass and Carbon Stock Capacity of Robinia pseudoacacia Plantations at Different Densities on the Loess Plateau DOI Open Access

Yawei Hu,

Jiongchang Zhao, Yang Li

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1242 - 1242

Published: July 17, 2024

Forests make an important contribution to the global carbon cycle and climate regulation. Caijiachuan watershed false acacia (Robinia pseudoacacia Linn.) plantation forests have been created for 30 years, but a series of problems arisen due irrationality density involved at that time. To precisely assess R. plantations with different densities this cycle, we measured diameter breast height (DBH), tree (H), biomass, stocks in trees, shrubs, herbs, litter, soil across ranges, denoted as D1 = 900–1400, D2 1401–1900, D3 1901–2400, D4 2401–2900, D5 2901–3400 trees ha−1. In order achieve purpose accurately estimating rate each part were measured. The results are follows: (1) Both DBH H decreased increasing density, field surveys much more difficult less accurate than DBH. Based on two allometric growth models, it was found determination coefficient biomass model incorporated both (0.90) closely resembled using only (0.89), error margin 0.04%. (2) At sample scale, stand significantly affected stem total biomass. individual plant organ Increasing promoted accumulation vegetation within plot did not improve trees. constituted majority (58.25%–60.62%); represented significant portion (93.02%–97.37%). (3) stock plots tended increase indicating positive correlation between whole forest ecosystem. Hence, future plantations, appropriate should be selected based specific objectives. For wood utilization, planting 900–1400 ha−1 controlled. fixation, initial 2900–3400 pseudoacacia. This study provides theoretical support local management how better sequester carbon.

Language: Английский

Citations

5
3D layer shape electrode of NiS in-situ growth on shaddock peel derived carbon for high-performance supercapacitors DOI

Y.J. Tan,

Ya Long, Zhentao Liu

et al.

Journal of Electroanalytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 118995 - 118995

Published: Feb. 1, 2025

Language: Английский

Citations

0
Utilizing google earth engine and remote sensing with machine learning algorithms for assessing carbon stock loss and atmospheric impact through pre- and postfire analysis DOI
Jintu Moni Bhuyan, Kshitish Kumar Pradhan, B. P. Pradeep Kumar

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 287 - 302

Published: Jan. 1, 2025

Language: Английский

Citations

0
Amazon Forest Wood Volume: Mixed-Effects Modeling for Estimating Commercial Volume in Dense Ombrophilous Forest, Amapá, Brazil DOI
Jeremias Piontkoski De Abreu, Mário Santos,

Wegliane Campelo Silva

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Spatial pattern of forest aboveground biomass and its environmental influencing factors in Qinling-Daba Mountains, central China DOI Creative Commons
Yonghui Yao

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 13, 2024

Accurate estimation of forest aboveground biomass (AGB) is crucial for understanding and managing ecosystems in the context global environmental change, also provides a scientific basis national regional ecological planning carbon emission reduction policies. In order to investigate pattern AGB its influencing factors central China, total 469 sample plots were measured along four transects on six mountains field survey. The results showed that: 1) Two longitudinal distribution patterns found, one was that Qinling Mountains Daba Moutains gradually decreased from east west, other areas between two increased west. latitudinal an "increasing-decreasing-increasing-decreasing" trend south north. altitudinal "first increasing-then decreasing" with increasing altitude. 2) influence each factor spatial manifested as temperature > precipitation HAI topography, indicating China result interaction climate, human activities natural factors.

Language: Английский

Citations

2
Mechanisms for carbon stock driving and scenario modeling in typical mountainous watersheds of northeastern China DOI
Jin Zhang,

Wenguang Zhang,

Xin-Yan Zhang

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(9)

Published: Aug. 8, 2024

Language: Английский

Citations

1
LiDAR-based individual tree AGB modeling of Pinus kesiya var. langbianensis by incorporating spatial structure DOI Creative Commons
Zhi Liu,

Xiaoli Zhang,

Yong Wu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112973 - 112973

Published: Dec. 1, 2024

Language: Английский

Citations

0
Sustainable development of India's biobased economy DOI
Kripal Singh,

Nisha Agarwal,

Sanjay Kumar Gupta

et al.

Biomass and Bioenergy, Journal Year: 2024, Volume and Issue: 193, P. 107544 - 107544

Published: Dec. 9, 2024

Language: Английский

Citations

0
Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR DOI Creative Commons

Lucia Enriquez Pinedo,

Kevin Ortega Quispe,

Dennis Ccopi Trucios

et al.

Trees Forests and People, Journal Year: 2024, Volume and Issue: unknown, P. 100763 - 100763

Published: Dec. 1, 2024

Language: Английский

Citations

0