Crop Measurement with UAV LiDAR
This study examines UAV-based LiDAR technology for measuring crop characteristics such as canopy height and leaf area index under day and night conditions.
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Dam Impact on River Sedimentation in Yellow River
Researchers examine sedimentation dynamics in the Lower Yellow River, focusing on the Xiaolangdi Reservoir’s influence on sediment transport.
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Energy Justice in Regional Transitions
This study examines the spatial dynamics of energy justice by engaging citizens in discussions about regional energy transitions.
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Crop Predictions with Drought Data
Researchers from Delft University have developed a machine learning framework using drought spatial extent to enhance crop yield predictions.
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Orbital Congestion in Satellite Broadband
As satellite broadband expands, orbital congestion presents critical challenges. This study examines the dynamics between oligopolistic competition, innovation, and regulatory measures, providing insights into the future of satellite communication.
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AI-Driven Hydropower for Sustainability
Researchers have developed an AI-driven Hydrogen Decision Support Model (H2-DSM) to optimize Run-of-River hydropower plants, enhancing economic and environmental sustainability.
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Tree Inventories with Mobile Lidar
Researchers have integrated mobile lidar technology and open-source tools to automate urban tree inventories. This approach enhances efficiency and affordability in mapping and measuring urban trees, which is crucial for environmental planning and ecosystem service assessment, offering significant benefits for city planning and management.
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Adaptive Hydropower Governance
This study explores the complex dynamics of hydropower operations in Brazil’s Paranapanema River Basin, examining how electricity demand and centralized management affect river flows.
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Satellite Megaconstellations
As satellite megaconstellations proliferate, understanding the risks of their reentry becomes crucial.
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Hydropower optimisation with Price Forecasts
In electricity markets, the interplay between hydrologic forecasts and hydropower scheduling is vital.
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