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Showing 6 of 6 academic articles

Landslide monitoring with interferometric SAR in Liugui, a vegetated area

Peter Tian-Yuan Shih, Huijung Wang, Kuo-Wei Li, Jyh-Jong Liao et al. • Terrestrial, Atmospheric and Oceanic Sciences (2019)

Interferometric SAR analysis with a time series of images obtained from satellite has been proven to be a useful monitoring scheme for geomorphological changes, particularly related to the vertical dimension. The success of this technique r...

DOAJ Open Access (DOAJ) DOI: 10.3319/TAO.2019.04.13.01

Impact of Super Typhoon ‘Hinnamnor’ on Density of Kelp Forest and Associated Benthic Communities in Jeju Island, Republic of Korea

Kyeong-Tae Lee, Garance Perrois, Hyun-Sung Yang, Taeho Kim et al. • Journal of Marine Science and Engineering (2023)

This study was carried out to determine the levels of resistance and resilience of kelp forests to large-scale physical disturbances. Our study site, Seongsan, Jeju Island, was impacted by super typhoon ‘Hinnamnor’. Before the typhoon, Seon...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse11051035

Continuous Field Determination and Ecological Risk Assessment of Pb in the Yellow Sea of China

Zhiwei Zhang, Dawei Pan, Yan Liang, Md. Abdur Rahman et al. • Journal of Marine Science and Engineering (2024)

Field determination and ecological risk assessment of dissolved lead (Pb) were performed at two Yellow Sea sites in China using a continuous automated electrochemical system (CAEDS). This CAEDS instrument includes an automatic triple filter...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse12081452

Eight-Day Typhoon Quantitative Precipitation Forecasts in Taiwan by the 2.5 km CReSS Model, Part II: Reduced Control of Track Errors on Rainfall Prediction Quality for Typhoons Associated with Southwesterly Flow

Chung-Chieh Wang, Wei-Kuo Soong, Chih-Wei Chien, Chih-Sheng Chang et al. • Atmosphere (2023)

Due to the enhancement by its steep mesoscale topography, the overall rainfall amount and distribution in Taiwan from typhoons, to a first degree, are determined by the storm track relative to the island. Therefore, the quality of typhoon q...

DOAJ Open Access (DOAJ) DOI: 10.3390/atmos14061047

Combining the YOLOv4 Deep Learning Model with UAV Imagery Processing Technology in the Extraction and Quantization of Cracks in Bridges

Szu-Pyng Kao, Yung-Chen Chang, Feng-Liang Wang • Sensors (2023)

Bridges are often at risk due to the effects of natural disasters, such as earthquakes and typhoons. Bridge inspection assessments normally focus on cracks. However, numerous concrete structures with cracked surfaces are highly elevated or ...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23052572

Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data

Zhi He, Chengle Zhou, Liwei Zou, Suhong Zhou et al. • International Journal of Digital Earth (2025)

Accurately monitoring disaster effects is a crucial task in relief efforts (e.g. typhoon rescue). Social media data plays a vital role in disaster management, while deep learning-based methods gain more attention in typhoon disaster researc...

DOAJ Open Access (DOAJ) DOI: 10.1080/17538947.2025.2517790