Tropical cyclones represent a danger to life, property, and the economies of communities. Researchers who study tropical ...

Enterprise Flagship Drone Platform Enhanced with Extended Flight Time, Intelligent Power-Line-Level Obstacle Sensing, and ...

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Increasing interplay among extreme events and land subsidence impacts calls for urgent mitigation and policy action to reduce detrimental ramifications to infrastructure and people.

By offering the ability to track wildfires, flooding, land use, infrastructure and urban development, satellite imagery fuels smarter geospatial ...

The use of remote sensing (RS), artificial intelligence (AI), and machine ... mounted on an airborne RS platform for crop identification in Texas. The images captured by NIR cameras provide more ...

Industrial Transmitter Market industrial transmitter market grows rapidly, driven by demand for precise, reliable devices that enhance effi ...

In the United States, earthen levees are an integral part of flood control systems, protecting around 23 million Americans ...

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Its simplicity and versatility make it widely used in remote sensing tasks such as land cover mapping, environmental monitoring, and resource management (Jensen, 2013). Yadav et al. applied this ...

Abstract: Using semantic segmentation networks to intelligently categorize remote sensing images (RSIs) is essential for urban planning, land use, and environmental monitoring. However, the complexity ...

This repo is used for recording, and tracking recent Remote Sensing Spatio-Temporal Vision-Language Models (RS-STVLMs). If you find any work missing or have any suggestions (papers, implementations, ...