Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage

Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage

Remote sensing, particularly satellite-based, can play a valuable role in monitoring areas prone to geohazards. The high spatial and temporal coverage provided by satellite data can be used to reconstruct past events and continuously monitor sensitive areas for potential hazards. This paper presents...

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Bibliographic Details
Main Authors: Joaquim J. Sousa, Jiahui Lin, Qun Wang, Guang Liu, Jinghui Fan, Shibiao Bai, Hongli Zhao, Hongyu Pan, Wenjing Wei, Vanessa Rittlinger, Peter Mayrhofer, Ruth Sonnenschein, Stefan Steger, Luís Paulo Reis
Format: Article
Language:English
Published: Taylor & Francis Group 2024-05-01
Series:Geo-spatial Information Science
Subjects:
Landslide detection; InSAR time series analysis; machine learning
heritage preservation
mining subsidence
water conservancy infrastructures
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2023.2234008

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2023.2234008

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