Year: 2024
Type: article
Abstract: This review paper provides a comprehensive overview of advancements in geological remote sensing in Korea, based on the research published in the Korean Journal of Remote Sensing (KJRS).The review encompasses critical geological domains, including lineament analysis, rock and mineral remote sensing, landslide detection, volcanic activity monitoring, earthquake assessment, and gravity studies.The content is organized chronologically, allowing for a detailed examination of the evolution of remote sensing techniques and their applications by KJRS authors.This review emphasizes significant contributions that have improved the accuracy, reliability, and predictive capabilities of geological studies through the application of remote sensing.Additionally, the paper highlights the integration of diverse remote sensing tools-ranging from satellite imagery and spectral analysis to advanced machine learning models-which collectively have facilitated a more profound understanding of geological phenomena.The insights derived from these studies are essential for the effective management of natural resources, disaster preparedness, and environmental conservation efforts.
Source: 대한원격탐사학회지
Author: Hoonyol Lee
Institution: Kangwon National University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
Awards: G3669908250, G3838153337, G7240806792
OpenAlex ID: W4403476120