Progress and Limitations in Forest Carbon Stock Estimation Using Remote Sensing Technologies: A Comprehensive Review

Forests, Год журнала: 2025, Номер 16(3), С. 449 - 449

Опубликована: Март 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.

Язык: Английский

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

Journal of Electroanalytical Chemistry, Год журнала: 2025, Номер unknown, С. 118995 - 118995

Опубликована: Фев. 1, 2025

Язык: Английский

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

Forests, Год журнала: 2024, Номер 15(7), С. 1242 - 1242

Опубликована: Июль 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.

Язык: Английский

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Utilizing google earth engine and remote sensing with machine learning algorithms for assessing carbon stock loss and atmospheric impact through pre- and postfire analysis

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 287 - 302

Опубликована: Янв. 1, 2025

Язык: Английский

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Amazon Forest Wood Volume: Mixed-Effects Modeling for Estimating Commercial Volume in Dense Ombrophilous Forest, Amapá, Brazil

Опубликована: Янв. 1, 2025

Язык: Английский

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Spatial pattern of forest aboveground biomass and its environmental influencing factors in Qinling-Daba Mountains, central China

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Сен. 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.

Язык: Английский

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Mechanisms for carbon stock driving and scenario modeling in typical mountainous watersheds of northeastern China

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(9)

Опубликована: Авг. 8, 2024

Язык: Английский

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Sustainable development of India's biobased economy

Biomass and Bioenergy, Год журнала: 2024, Номер 193, С. 107544 - 107544

Опубликована: Дек. 9, 2024

Язык: Английский

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LiDAR-based individual tree AGB modeling of Pinus kesiya var. langbianensis by incorporating spatial structure

Ecological Indicators, Год журнала: 2024, Номер 169, С. 112973 - 112973

Опубликована: Дек. 1, 2024

Язык: Английский

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

Trees Forests and People, Год журнала: 2024, Номер unknown, С. 100763 - 100763

Опубликована: Дек. 1, 2024

Язык: Английский

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