Predicting Wildfire Hazards: How It Works and Why It Matters
By using remote sensing at the Haard forest in Germany, researchers have shown that predicting wildfire hazards could be practical for large forests all around the world.
Read moreBy using remote sensing at the Haard forest in Germany, researchers have shown that predicting wildfire hazards could be practical for large forests all around the world.
Read moreRiverside vegetation, or “riparian buffers”, provides wildlife habitat, maintains water quality, and reduces flood damage. Human activity can negatively affect these services, and monitoring this vegetation over time can be costly and resource-intensive. Researchers at SUNY ESF have developed a new way of mapping river channels and vegetation that uses open-source remote-sensing software, using the Genesee River in New York to develop this method. Their method greatly improves our ability to monitor this important resource over time with over 90% accuracy.
Read moreAlgal blooms aren’t a new environmental problem, but is climate change making them worse? In this study scientists use a new method to see how the occurrence and severity of algal blooms has changed in lakes around the world as the climate has been getting warmer.
Read moreResearchers demonstrate a machine learning approach using the nighttime glow of urban areas to streamline satellite-based mapping the worldwide extent cities.
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