Location optimization of unmanned aerial vehicle (UAV) drone port for coastal zone management: The case of Guangdong coastal zone in China

Ocean & Coastal Management, Год журнала: 2025, Номер 262, С. 107576 - 107576

Опубликована: Фев. 12, 2025

Язык: Английский

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Exploring soil carbon drivers across natural mangroves, restored mangroves, and tidal flats: Implications for subtropical coastal carbon management

CATENA, Год журнала: 2025, Номер 252, С. 108875 - 108875

Опубликована: Март 2, 2025

Язык: Английский

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Simulation-Based Correction of Geolocation Errors in GEDI Footprint Positions Using Monte Carlo Approach

Forests, Год журнала: 2025, Номер 16(5), С. 768 - 768

Опубликована: Апрель 30, 2025

Traditional remote sensing techniques face notable limitations in accurately estimating forest canopy height. Optical data often suffer from vegetation occlusion, while radar systems, though capable of penetrating foliage, show reduced accuracy complex terrains. The Global Ecosystem Dynamics Investigation (GEDI), a spaceborne LiDAR mission, offers high-resolution measurements that address these challenges. However, the complexity waveform processing and influence geolocation uncertainty demand rigorous assessment. This study employs GEDI Version 2.0 data, which demonstrates substantial improvement compared to 1.0, integrates airborne laser scanning (ALS) Changbai Mountain region simulate waveforms. A Monte Carlo-based approach was used quantify correct offsets, resulting reduction average relative error (defined as mean absolute differences between estimated reference heights divided by values) height estimates 11.92% 8.55%. Compared traditional correction strategies, this method stronger robustness heterogeneous conditions. findings emphasize effectiveness simulation-based optimization enhancing retrieval reliability especially terrain environments. contributes more precise global structure assessments provides methodological foundation for future improvements applications.

Язык: Английский

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Out of the blue carbon box: toward investable blue natural capital

Biology Letters, Год журнала: 2025, Номер 21(4)

Опубликована: Апрель 1, 2025

In 2019, we found that the concept of blue carbon had begun to solidify in preceding decade around activities could achieve mitigation through conservation and restoration on ecosystems with high levels data. Five years later, available data have increased, so too are included national markets market methodologies (e.g. seaweed supratidal forests). While implementation strategies continues advance both emerging biodiversity markets, scale investment is inadequate for action needed meet global targets Paris Agreement Kunming-Global Biodiversity Framework. The developing finance mechanisms natural capital offer additional potential at large scales, although governance systems challenged deliver just equitable outcomes. Blue research characterized by deep collaboration among diverse disciplines actors, which be crucial achieving goals.

Язык: Английский

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Estimation of mangrove heights and aboveground biomass using UAV-LiDAR, Sentinel-1 and ZY-3 stereo images

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 103160 - 103160

Опубликована: Апрель 1, 2025

Язык: Английский

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The Role of RPAS in Vegetation Height Estimation: Challenges and Future Perspectives in the Forestry Context

Current Forestry Reports, Год журнала: 2025, Номер 11(1)

Опубликована: Апрель 22, 2025

Язык: Английский

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HBIM symmetry parametrization using TLS and UAV LiDAR measurements

Measurement, Год журнала: 2025, Номер unknown, С. 117750 - 117750

Опубликована: Май 1, 2025

Язык: Английский

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A new method for estimating forest stand carbon stock: Segmentation and modeling based on forest aboveground imagery

Ecological Indicators, Год журнала: 2024, Номер 167, С. 112697 - 112697

Опубликована: Окт. 1, 2024

Язык: Английский

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