Acceso al sitio web del Consejo de Políticas de Infraestructura

   
Redirigiendo al acceso original de articulo en 22 segundos...
Inicio  /  Applied Sciences  /  Vol: 12 Par: 5 (2022)  /  Artículo
ARTÍCULO
TITULO

A Satellite Data Mining Approach Based on Self-Organized Maps for the Early Warning of Ground Settlements in Urban Areas

Augusto Montisci and Maria Cristina Porcu    

Resumen

The proposed method is a neural-network-based tool for the early warning of ground settlement hazard in urban areas. On the basis of the analysis of MT-InSAR data through an unsupervised learning, the method can find precursors of similar time-evolving phenomena. The method can be applied under different warning criteria and for different hyper-parameters of the monitoring system.

PÁGINAS
pp. 0 - 0

 Artículos similares

       
 
Saher Ayyad, Islam S. Al Zayed, Van Tran Thi Ha and Lars Ribbe    
Monitoring of crop water consumption, also known as actual evapotranspiration (ETa), is crucial for the prudent use of limited freshwater resources. Remote-sensing-based algorithms have become a popular approach for providing spatio-temporal information ... ver más
Revista: Water

 
Chunchang Zhang and Ji Zeng    
The real-time transmission of ship status data from vessels to shore is crucial for live status monitoring and guidance. Traditional reliance on expensive maritime satellite systems for this purpose is being reconsidered with the emergence of the global ... ver más

 
Altayeb A. Obaid, Elhadi M. Adam, K. Adem Ali and Tamiru A. Abiye    
The Vaal Dam catchment, which is the source of potable water for Gauteng province, is characterized by diverse human activities, and the dam encounters significant nutrient input from multiple sources within its catchment. As a result, there has been a r... ver más
Revista: Water

 
Nuaman Ejaz, Aftab Haider Khan, Muhammad Shahid, Kifayat Zaman, Khaled S. Balkhair, Khalid Mohammed Alghamdi, Khalil Ur Rahman and Songhao Shang    
Satellite precipitation products (SPPs) are undeniably subject to uncertainty due to retrieval algorithms and sampling issues. Many research efforts have concentrated on merging SPPs to create high-quality merged precipitation datasets (MPDs) in order to... ver más
Revista: Water

 
Changhao Wu, Siyang He, Zengshan Yin and Chongbin Guo    
Large-scale low Earth orbit (LEO) remote satellite constellations have become a brand new, massive source of space data. Federated learning (FL) is considered a promising distributed machine learning technology that can communicate optimally using these ... ver más
Revista: Applied Sciences