In this work, we propose a comprehensive disaster management model that integrates diverse sensor technologies and advanced data analysis methods. At the core of this model is the hybrid neural decision network, which combines the powerful pattern recognition capabilities of neural networks with the ...
发布期刊: Journal of Remote Sensing, 2024.07 论文链接: A Hybrid Spatiotemporal Fusion Method for High Spatial Resolution Imagery: Fusion of Gaofen-1 and Sentinel-2 over Agricultural LandscapesAI+ 自然灾害:AI+Natural Disaster1. 机器学习预测未来 40 年的地面沉降风险中文解读: https://hyper.ai/news...
I bring expertise in:🌐 Geospatial Data Analysis: Solving real-world problems like land use planning, disaster management, and environmental conservation. 🛰️ Remote Sensing: Extracting actionable insights from satellite imagery and drone data. 🤖 Geo-AI: Using AI/ML models for predictive ...
[39] Belgiu, M., & Drăguţ, L. (2016). Random forest in remote sensing: A review of applications and future directions. ISPRS Journal of Photogrammetry and Remote Sensing, (114), 24–31. [40] Wu, J., Liu, H., Wei, G., So...
“Country-Wise Analysis”), and the current and emerging AI and data-driven approaches in sustainability research. It systematically explores AI methodologies applied across various sustainability applications (see Ch. “AI, ML, and Data-Driven Methods”), emphasizing the need for method integration ...
In addition, AI techniques are often used to analyze multiple forms and types of data derived from computational approaches such as remote sensing, social sensing, or crowd sourcing technologies. The most used computational approaches in risk and resilience assessment are described in Table 1. Table...
,Rufin, Philippe,Hostert, Patrick,Pacifici, Fabio,Atkinson, Peter M. 展开 摘要: The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI's transformative impact on data analysis, ...
Their research was published in the journalRemote Sensingon April 5, 2021. "Our model demonstrates how the rapid reporting of news media can speed up and increase the accuracy of damage mapping activities, acceleratingdisaster reliefand response decisions," said Shunichi Koshimura of Tohoku University...
Quick action in the first 72 hours after a calamity is critical in saving lives. And the first thing disaster officials need to plan an effective response is accurate damage assessment. But anyone who has seen aftermath scenes of a natural catastrophe knows the many logistical challenges that can...
Applications that cater to the needs of disaster incident response generate large amount of data and demand large computational resource access. Such datasets are usually collected in real-time at the incident scenes using different Internet of Things (IoT) devices. Hierarchical clouds, i.e., core...