Climate Change News and Research

RSS

Riding the Storm: Machine Learning Unveils Climate Change's Impact on New York/New Jersey Coastlines

Researchers utilize machine learning to assess the impact of climate change on storm surge hazards along the New York/New Jersey coastlines. By integrating high-fidelity hydrodynamic models and predictive algorithms, they reveal projected increases in storm surge levels, emphasizing the need for proactive adaptation strategies in the face of climate change.

18 Jul 2023

Unleashing the Power of Social Media: Advancing Weather Event Detection with VGI

Researchers propose a visual analytics pipeline that leverages citizen volunteered geographic information (VGI) from social media to enhance impact-based weather warning systems. By combining text and image analysis, machine learning, and interactive visualization, they aim to detect and explore extreme weather events with greater accuracy and provide valuable localized information for disaster management and resilience planning.

16 Jul 2023

Unleashing the Power of Remotely Sensed Big Data: Transforming Archaeological Research with Google Earth Engine

Researchers explore the game-changing capabilities of Google Earth Engine (GEE) in revolutionizing archaeological research. By bridging the gap between remotely sensed big data (RSBD) and archaeological analysis, GEE overcomes challenges related to data access, computational resources, and methodological awareness.

12 Jul 2023

AI-Powered Solutions: Transforming Food Waste into a Circular Economy

The integration of artificial intelligence (AI) is transforming the battle against food waste and propelling the transition towards a circular economy. By leveraging AI technologies, such as advanced analytics and machine learning, various applications are being developed to optimize food manufacturing, distribution networks, and waste management processes. These AI-driven solutions enhance decision-making, enable efficient resource utilization, and support recycling and upcycling initiatives.

9 Jul 2023

Planting the Future: Generating Key Questions in Plant Science with ChatGPT

The study explores the use of large language models (LLMs), specifically ChatGPT, to generate important questions in plant science. ChatGPT successfully generated relevant questions, highlighting the importance of sustainable products, plant-environment interactions, plant mechanisms, and enhanced plant traits. While ChatGPT overlooked certain aspects emphasized by researchers, it demonstrated its potential as a supportive tool in plant science research.

6 Jul 2023

Game Changer in Emergency Response: AI System Learns to Detect Natural Disasters from Social Media Images

Large-scale multi-label dataset, Incidents1M, is introduced for incident detection and image-filtering experiments on social media. It enables timely understanding of natural disaster progression and aftermath using automated methods.

28 Jun 2023

UCLA Geologists Harness AI to Revolutionize Landslide Prediction

UCLA geologists have devised an innovative method employing artificial intelligence to enhance the prediction of potential landslide locations, a development that could significantly boost safety measures in regions frequently afflicted by natural calamities.

28 Jun 2023

Researchers Harness Drones and Machine Learning to Combat Multiflora Rose Threat

West Virginia University researchers have secured a $175,000 grant from the Richard King Mellon Foundation to combat the threat of multiflora rose, an invasive species affecting native plants in over 40 states. Leveraging drones equipped with sensors and machine learning technology, the project aims to develop software for detecting and treating multiflora rose and other invasives, potentially reducing herbicide usage and costs while promoting native species.

26 Jun 2023