활용사례

활용 사례
제목 Advances in Geospatial Technologies
국/내외 국내 작성일 2025-06-02

Advances in Geospatial Technologies 첨부 이미지

Recently, geospatial technologies in Korea have been rapidly advancing through the integration of high-resolution satellite imagery, drone platforms, spatial data analytics, and artificial intelligence (AI). In response to the growing complexity of climate change, urbanization, and disaster risks, geospatial technologies have emerged as essential tools in both public and industrial sectors, particularly in land cover classification, spatio-temporal prediction, disaster monitoring, and object detection. This special issue provides a comprehensive review of recent research articles, examining the current trends and technological advancements in applied geospatial technologies. In particular, the issue focuses on strategies for addressing class imbalance using loss functions, approaches to cope with spatio-temporal variability in kriging, the effectiveness of multi-modal data integration, and the practical implementation of deep learning using KOMPSAT imagery. Key findings highlight the importance of optimized loss function design for high-precision classification, modeling strategies based on spatio-temporal autocorrelation structures, limitations in resolution and expressiveness of auxiliary data, and the complementary potential of change detection and object-based classification. This review offers critical insights into the effectiveness and scalability of current geospatial technologies and provides foundational guidance for future policy and system design.



Keywords

Geospatial technologies, Remote sensing, Deep learning, Spatio-temporal kriging, Land cover classification, KOMPSAT, Data fusion

출처 https://www.kjrs.org/
이전/이후 글
이전글 Generating High-Resolution Labels Using a Low-Resolution Amazon Deforestation Dataset and Pseudo-Labeling Techniques
다음글 Evaluation of Cloud Mask Performance of KOMPSAT-3 Top-of-Atmosphere Reflectance Incorporating Deeplabv3+ with Resnet 101 Model

네팔:지진(2015-05-05)

영상 정보
카테고리 재난재해
위성정보 KOMPSAT-3
생성일 2015-03-24

세부정보

영상 세부 정보
ProductID K3_20150505073608_15817_06161210
국가(영문) Nepal
국가 네팔
지역 Pokhara
레벨 1R