#remote-sensing tag

Lidar to measure climate disasters

Lidar differencing produced high-resolution maps of Southern California fire damage, showing elevation loss (red) and gains (blue) with greater detail than satellite imagery.

Environment

fromNature

1 week ago

Mapping urban gullies in the Democratic Republic of the Congo - Nature

Many Congolese cities host identifiable urban gullies detectable by high-resolution imagery, with analyses limited to gullies having thalwegs at least 30 m.

fromInfoQ

1 week ago

Google DeepMind Unveils AlphaEarth Foundations Model for Global Mapping

Google DeepMind introduced AlphaEarth Foundations, an artificial intelligence model designed to integrate massive volumes of Earth observation data into a unified digital representation of the planet. The system, described as functioning like a "virtual satellite", can process petabytes of multimodal inputs. The model addresses a long-standing challenge in Earth science: the difficulty of combining data from diverse sources and refresh rates into formats that researchers can use consistently.

Environment

#remote-sensing#remote-sensing

Lidar to measure climate disasters

Mapping urban gullies in the Democratic Republic of the Congo - Nature

Google DeepMind Unveils AlphaEarth Foundations Model for Global Mapping

The Future of Remote Sensing: Few-Shot Learning and Explainable AI | HackerNoon

6 Breakthrough Few-Shot Learning Techniques for Remote Sensing | HackerNoon

Few-Shot Learning in Remote Sensing: Trends, Gaps, and Future Directions | HackerNoon

Smarter Satellite Vision with Few-Shot Learning | HackerNoon

5 Key Metrics to Evaluate Few-Shot Remote Sensing Models | HackerNoon

Few-Shot vs. One-Shot vs. Zero-Shot Learning | HackerNoon

The Future of Remote Sensing: Few-Shot Learning and Explainable AI | HackerNoon

6 Breakthrough Few-Shot Learning Techniques for Remote Sensing | HackerNoon

Few-Shot Learning in Remote Sensing: Trends, Gaps, and Future Directions | HackerNoon

Smarter Satellite Vision with Few-Shot Learning | HackerNoon

5 Key Metrics to Evaluate Few-Shot Remote Sensing Models | HackerNoon

Few-Shot vs. One-Shot vs. Zero-Shot Learning | HackerNoon

Explainable AI (XAI) for Safer, Smarter Remote Sensing | HackerNoon

Understanding the 3 Main Types of Remote Sensing Sensor Data | HackerNoon

Top Remote Sensing Datasets for Training and Evaluating AI Models | HackerNoon

Alarming Spy Device Can Read Text in an Open Book From Nearly a Mile Away

The Competitive Landscape of Field Operations: A Ground Truth War

Can NASA Help Predict Wildflower Super Blooms? | KQED

#remote-sensing
#remote-sensing