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WoS SCOPUS Document Type Document Title Abstract Authors Affiliation ResearcherID (WoS) AuthorsID (SCOPUS) Author Email(s) Journal Name JCR Abbreviation ISSN eISSN Volume Issue WoS Edition WoS Category JCR Year IF JCR (%) FWCI ⓘ FWCI Update Date WoS Citation SCOPUS Citation Keywords (WoS) KeywordsPlus (WoS) Keywords (SCOPUS) KeywordsPlus (SCOPUS) Language Publication Stage Publication Year Publication Date DOI JCR Link DOI Link WOS Link SCOPUS Link
○ ○ Article ⓘ Anion-Rich Interface via a Self-Assembled Monolayer toward a Long-Lifespan Li Metal Battery ⓘ Due to the extremely high energy density of Li metal, Li metal batteries are regarded as one of the most promising candidates for next-generation energy storage systems. However, interfacial issues, particularly the unstable solid electrolyte interphase (SEI) and lithium dendritic growth, hinder practical application. Herein, we induce an anion-rich interface near the Li metal by introducing positively charged self-assembled monolayers (SAMs) on ceramic-coated separators to simultaneously stabilize the SEI and homogenize the Li deposition. The anion-rich interface, originating from the electrostatic attraction of SAMs, promotes the preferential decomposition of salt anions over organic solvent molecules, leading to the formation of a stable anion-derived inorganic component, notably LiF. Furthermore, the positively charged SAMs immobilize anions, significantly mitigating dendritic Li by improving the Li+ transference number (similar to 0.73) and thereby mitigating dendritic Li growth. Hence, we present SAMs on ceramic-coated separators as an innovative way to improve the long-term cycling performance of Li metal batteries. ⓘ Min, Byeongyun; Pyo, Seonmi; Han, Juyeon; Jin, Huding; Cho, Jinil; Yun, Heejun; Kim, Heebae; Lee, Jeewon; Lee, Jemin; Seo, Harim; Yoo, Jeeyoung; Kim, Youn Sang ⓘ Seoul Natl Univ, Dept Chem & Biol Engn, Seoul 08826, South Korea; Seoul Natl Univ, Inst Chem Proc, Coll Engn, Seoul 08826, South Korea; Hyundai Motor Grp, Uiwang 16082, South Korea; Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea; Seoul Natl Univ, Inst Chem Proc, Seoul 08826, South Korea; Samsung SDI Co Ltd, Suwon 16678, South Korea; Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Program Nano Sci & Technol, Seoul 08826, South Korea; Adv Inst Convergence Technol, Suwon 16229, South Korea ⓘ Yoo, Jeeyoung/AAH-1359-2019; Kim, SoW/ABB-7917-2021 ⓘ 58018081000; 57211858131; 57222146622; 57204847936; 57209801309; 57218197755; 57217054648; 57339274800; 58959227800; 58108938400; 56046607500; 59459732400 ⓘ jyoo@knu.ac.kr; younskim@snu.ac.kr; ⓘ ACS APPLIED MATERIALS & INTERFACES ⓘ ACS APPL MATER INTER ⓘ 1944-8244 1944-8252 17 3 SCIE MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY ⓘ 2024 8.2 17.9 0 2025-05-07 ⓘ 0 1 Li metal anode; solid electrolyte interphase (SEI); anion-derived SEI; self-assembled monolayer; ceramic-coated separator ⓘ ION BATTERIES; LITHIUM; ELECTROLYTE; ANODE; SEPARATORS; INTERPHASE; CARBONATE; COATINGS; POWER ⓘ anion-derived SEI; ceramic-coated separator; Li metal anode; self-assembled monolayer; solid electrolyte interphase (SEI) ⓘ Ceramic coatings; Enameling; Hard facing; Lithium batteries; Lithium compounds; Solid electrolytes; anion; electrolyte; lithium; metal; organic solvent; self assembled monolayer; sodium chloride; Anion-derived solid electrolyte interphase; Ceramic-coated separator; Coated separator; Li metal; Li metal anode; Metal anodes; Positively charged; Solid electrolyte interphase; adult; anode electrode; article; ceramics; controlled study; decomposition; device comparison; immobilization; interphase; lifespan; major clinical study; pharmaceutics; transference; Separators ⓘ English 2025 2025-01-08 10.1021/acsami.4c16977 ⓘ 바로가기 바로가기 바로가기 바로가기
○ Article ⓘ Controlled synthesis of branched 2D polytypic CdS quantum nanostructures ⓘ Colloidal two-dimensional (2D) semiconductor quantum nanostructures have attracted substantial interest owing to their atomically uniform thickness and spectrally sharp luminescence, exhibiting potential for optoelectronic and electronic device applications. Despite recent advancements in chemical synthesis enabling better control over lateral shapes and heterostructures, achieving morphological complexity in 2D semiconductor nanocrystals remains challenging. In this study, we report the controlled synthesis of branched 2D CdS quantum nanostructures, facilitating the realization of polytypism by growing zinc blende nano-domains within wurtzite-structured quantum nanoplates. The synthesized structures comprise multi-branched 2D quantum nanoplate arms with a precisely controlled thickness of ∼1.8 nm, joined at the zinc blende nano-domain junctions. The reaction conditions enable controlled variation in the length and complexity of these structures, while maintaining their sharp excitonic features of quantum-confined 2D semiconductor nanocrystals. In-situ small- and wide-angle X-ray scattering analysis, combined with spectroscopic and microscopic analyses, reveals that a discontinuous increase in thickness beyond a certain threshold is necessary to form zinc blende crystals within wurtzite nanoplates, upon which additional 2D quantum nanoplates subsequently grow. This study advances our understanding of 2D nanocrystal synthesis mechanisms and provides pathways for designing and fabricating branched 2D nanostructures with tailored properties. © 2024 Elsevier Ltd ⓘ Kim, Yoonkyum; Ma, Hyeonjong; Kim, Hyeongseung; Ahn, Hyungju; Min, Gyeonguk; Lee, Dong Hyeon; Noh, Yong-Young; Joo, Jin; Yang, Jiwoong; Son, Jae Sung ⓘ Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, South Korea; Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, 42988, South Korea; Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, 42988, South Korea; Pohang Accelerator Laboratory, Pohang, 37673, South Korea; Department of Applied Chemistry, College of Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea; Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea; Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea; Department of Applied Chemistry, College of Engineering, Kyungpook National University (KNU), Daegu, 41566, South Korea; Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, 42988, South Korea; Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea ⓘ ⓘ 58138193400; 57814624000; 58490302800; 56452216500; 57217874626; 59049018300; 7006018712; 57189617034; 55325747800; 56410377100 ⓘ sonjs@postech.ac.kr; joojin@knu.ac.kr; jiwoongyang@dgist.ac.kr; ⓘ Materials Today Nano ⓘ MATER TODAY NANO ⓘ 2588-8420 2588-8420 29 SCIE MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY ⓘ 2024 8.2 17.9 0 2025-05-07 ⓘ 0 ⓘ ⓘ 2D materials; Branched structure; Cadmium sulfide; Colloidal synthesis; Polytypism; Quantum structure ⓘ Crystal atomic structure; Heterojunctions; Nanoclay; Nanocrystals; Selenium compounds; Zinc Selenide; Branched structures; Colloidal synthesis; Nanoplates; Polytypism; Quantum nanostructures; Quantum structure; Two-dimensional; Two-dimensional materials; Two-dimensional semiconductors; Zinc blende; X ray scattering ⓘ English Final 2025 10.1016/j.mtnano.2024.100549 ⓘ 바로가기 바로가기 바로가기
○ ○ Article ⓘ GDoT: A gated dual domain transformer for enhanced MRI off-resonance correction ⓘ Deep learning-based MRI reconstruction methods have gained significant attention recently due to the need for accelerated MRI scans. However, existing deep learning-based methods for off-resonance correction rely on simple CNNs, resulting in suboptimal solutions. In this paper, we propose a gated dual domain transformer with gated spatial projection and gated frequency projection to effectively handle complex-valued MRI, as the first attempt to utilize transformer-based model for off-resonance correction. Additionally, we introduce a selective perceptual loss with a novel test-time translation-merger to reconstruct perceptually high-quality images without checkerboard artifacts. Experiments on both simulated and real off-resonance MRI datasets demonstrate the effectiveness of our approach. Furthermore, we also present ablation studies to determine the optimal design choices. ⓘ Ahn, Jaesin; Jung, Heechul ⓘ Kyungpook Natl Univ, Dept Artificial Intelligence, 80 Daehak Ro, Daegu 41566, South Korea ⓘ ⓘ 57212010622; 55652175200 ⓘ heechul@knu.ac.kr; ⓘ NEUROCOMPUTING ⓘ NEUROCOMPUTING ⓘ 0925-2312 1872-8286 634 SCIE COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ⓘ 2024 6.5 17.9 0 2025-05-07 ⓘ 0 0 Magnetic resonance imaging; Off-resonance correction; Deep learning; Vision transformer ⓘ IMAGE-RECONSTRUCTION; NETWORK ⓘ Deep learning; Magnetic resonance imaging; Off-resonance correction; Vision transformer ⓘ Deep learning; Dual domain; Learning-based methods; MRI reconstruction; MRI scan; Off-resonance; Off-resonance correction; Reconstruction method; Simple++; Vision transformer; Article; convolutional neural network; deep learning; Fourier transform; human; nuclear magnetic resonance imaging; perception; simulation; Dynamic contrast enhanced MRI ⓘ English 2025 2025-06-14 10.1016/j.neucom.2025.129918 ⓘ 바로가기 바로가기 바로가기 바로가기
○ Article ⓘ Impact of meta- and para-Direction External Side Chains in Y-Series Acceptors on the Molecular Packing and Charge Carrier Dynamics of Organic Photovoltaics ⓘ The side-chain directions in nonfullerene acceptors (NFAs) strongly influence the intermolecular interactions in NFAs; however, the influence of these side chains on the morphologies and charge carrier dynamics of Y6-based acceptors remains underexplored. In this study, we synthesize four distinct Y6-based acceptors, i.e., meta-HOP-Y6-F (mF), meta-HOP-Y6-Cl (mCl), para-HOP-Y6-F (pF), and para-HOP-Y6-Cl (pCl), with outer side chains of alkoxy-2-ethylhexyl attached at the meta or para positions. Devices containing the meta-position acceptors blended with the polymer donor PM6 achieve power conversion efficiencies (PCEs) at least 1.27-fold higher than those of devices containing para-position acceptors. The enhanced performance can be attributed to the formation of donor-acceptor domains that are advantageous for charge carrier generation, transport, and collection. This is due to variations in phase aggregation that result from steric hindrance effects at the meta- and para-position acceptors. As a result, meta-position acceptors with lower steric hindrance improved π-π and lamellar stacking, whereas the para-position acceptors encountered excessive steric hindrance, reducing their photovoltaic efficiencies. Additionally, the meta-position acceptors demonstrate long charge carrier lifetimes, which suppress recombination in the charge transfer state and promote efficient charge separation. These results underline the critical role of side-chain direction in optimizing Y6-based acceptors for improving photovoltaic performance. © 2024 American Chemical Society. ⓘ Park, Changwoo; Xuyao, Song; Ham, Gayoung; Bae, Kihyun; Lim, Chulhee; Park, Sanghun; Kim, Young Yong; Lee, Junyeong; Jo, Sungjin; Kwon, Soon-Ki; Kim, Bumjoon J.; Kim, Yun-Hi; Cha, Hyojung ⓘ Department of Hydrogen and Renewable Energy, Kyungpook National University, Daegu, 41566, South Korea; Department of Chemistry, RIMA, Gyeongsang National University, Jinju, 52828, South Korea; Department of Energy Convergence and Climate Change, Kyungpook National University, Daegu, 41566, South Korea; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea; Pohang Accelerator Laboratory (PAL), Pohang University of Science and Technology (POSTECH), Gyeongbuk, Pohang, 37673, South Korea; School of Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Chemistry, RIMA, Gyeongsang National University, Jinju, 52828, South Korea; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea; Department of Chemistry, RIMA, Gyeongsang National University, Jinju, 52828, South Korea; Department of Hydrogen and Renewable Energy, Kyungpook National University, Daegu, 41566, South Korea, Department of Energy Convergence and Climate Change, Kyungpook National University, Daegu, 41566, South Korea ⓘ ⓘ 58549401800; 57782915200; 58506766600; 59202542700; 57852451600; 58591769800; 57207444007; 58853044900; 7101724027; 55781445600; 55726498900; 56066944400; 35885242200 ⓘ bumjoonkim@kaist.ac.kr; ykim@gnu.ac.kr; hcha@knu.ac.kr; ⓘ ACS Applied Materials and Interfaces ⓘ ACS APPL MATER INTER ⓘ 1944-8244 1944-8252 17 4 SCIE MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY ⓘ 2024 8.2 17.9 0 2025-05-07 ⓘ 0 ⓘ ⓘ carrier lifetimes; charge carrier dynamics; molecular packing; nonfullerene acceptors; side-chain directions ⓘ Alkylation; Conducting polymers; Elastomers; Ionomers; Molecular dynamics; polymer; Chain direction; Charge carrier dynamics; Meta positions; Molecular charge; Molecular packings; Nonfullerene acceptor; Para position; Side-chain direction; Side-chains; Steric hindrances; article; chemical structure; genetic recombination; lifespan; nonhuman; plasma cell leukemia; stereospecificity; Charge transfer ⓘ English Final 2025 10.1021/acsami.4c17649 ⓘ 바로가기 바로가기 바로가기
○ ○ Article ⓘ Rapid spread and high prevalence of the pine wilt disease around wildfire areas ⓘ Pine trees hold a vital position in South Korea's forests, yet they face significant threats due to the spread of pine wilt disease. Pine Wilt Disease (PWD) is a devastating condition that causes rapid wilting and eventual death in susceptible pine trees. Notably, given the life cycle characteristics of the pine wood nematode and its Monochamus beetle vectors, concerns are growing that wildfire-affected areas may accelerate the spread of pine wilt disease. Therefore, the objective of this study is to analyze changes in the spatial distribution of pine wilt disease before and after wildfires using inspection data and to evaluate the relative risk of infection detection rates in wildfire-affected areas. To achieve this, we analyzed data from 2016 to 2023 in Goryeong-gun, Gyeongsangbukdo, South Korea. At the administrative district level, Global Moran's I and Local Indicators of Spatial Association (LISA) were employed, and detailed cluster analysis was conducted using SaTScan software for the post-wildfire period. The analysis revealed that clusters were formed in pre-existing outbreak areas before the wildfire, while newly significant clusters emerged around wildfire-affected areas after the wildfire. Subsequently, the standardized relative risk between wildfire-affected and non-affected areas was analyzed to quantify the difference in risk levels. The analysis indicated that wildfire-affected areas, particularly Sinchon-ri in Ssangnim-myeon, Goryeong-gun, exhibited a significantly higher relative risk of 1.87 (95 % confidence interval [CI]: 1.57-2.10). To our knowledge, this study is the first attempt to observe an increased risk of pine wilt disease spread in and around wildfire-affected areas. The findings suggest that when wildfires occur, intensified control measures should be implemented not only in directly affected areas but also in surrounding regions to effectively manage pine wilt disease. ⓘ Lee, Taehoon; Kim, Jeeyoung ⓘ Kyungpook Natl Univ, Grad Sch Data Sci, Daegu, South Korea ⓘ ⓘ 59520114400; 57204647175 ⓘ jeeyoungkim@knu.ac.kr; ⓘ TREES FORESTS AND PEOPLE ⓘ TREES FOREST PEOPLE ⓘ 2666-7193 20 ESCI FORESTRY ⓘ 2024 2.9 17.9 0 2025-05-07 ⓘ 1 1 Pine wilt disease; Spatial analysis; Wildfire; Moran's I; LISA; SaTScan; Forest pest control ⓘ ACTIVE FIRE DETECTION; SEVERITY; NEMATODE ⓘ Forest pest control; LISA; Moran's I; Pine wilt disease; SaTScan; Spatial analysis; Wildfire ⓘ South Korea; coniferous tree; disease spread; disease vector; pest control; wildfire; wilt ⓘ English 2025 2025-06 10.1016/j.tfp.2025.100805 ⓘ 바로가기 바로가기 바로가기 바로가기
○ Article ⓘ Repurposing Silver to Enable Ag-Pt Alloy Decoration on Silicon Nanowires for Efficient Hydrogen Evolution Reaction ⓘ In this study, we report a strategy to enhance the HER performance by exploiting the effective utilization of repurposed silver (Ag) to form bimetallic Pt-Ag alloy nanoparticles on silicon nanowires (SiNWs). Vertically aligned SiNWs were synthesized via metal-assisted chemical etching (MACE) on p-type silicon wafers during which Ag nanoparticles were intentionally retained at the nanowire base (rAg-SiNWs) to serve as nucleation sites for subsequent Pt photodeposition. Comprehensive characterizations using SEM, EDS, XRD, XPS, TEM, HRTEM, and HAADF-STEM confirmed the successful deposition of both Ag and Pt, as well as the formation of a uniform Pt-Ag alloy, as evidenced by distinct binding energy shifts in the deconvoluted Pt 4f spectra. Electrochemical measurements reveal that the Pt-decorated repurposed Ag-SiNWs (Pt-rAg-SiNWs) exhibit significantly enhanced HER performance compared with Pt-decorated SiNWs without repurposed Ag (Pt-SiNWs). Notably, the Pt-rAg-SiNWs contain a significantly lower Pt loading (0.18%) compared with Pt-SiNWs (0.75%). Despite this, they exhibit markedly higher current densities, lower overpotentials, and reduced Tafel slopes, highlighting the performance benefits associated with Pt-Ag alloy formation. The improved performance is attributed to the synergistic interaction between Pt and Ag, which enhances electron transfer, increases the electrochemically active surface area, and stabilizes the Pt active sites. These results provide valuable insights into the critical role of Ag positioning in facilitating effective Pt utilization via alloy formation and offer a cost-effective pathway for the design of advanced electrocatalysts for renewable energy applications. © 2025 American Chemical Society. ⓘ Saleem, Hamza; Park, Hyunwoong; Park, Yiseul ⓘ Department of Chemical Engineering, Pukyong National University, Busan, 48513, South Korea; School of Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Chemical Engineering, Pukyong National University, Busan, 48513, South Korea ⓘ ⓘ 57208642808; 7601565583; 16025741900 ⓘ hwp@knu.ac.kr; dewpark@pknu.ac.kr; ⓘ ACS Applied Materials and Interfaces ⓘ ACS APPL MATER INTER ⓘ 1944-8244 1944-8252 SCIE MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY ⓘ 2024 8.2 17.9 ⓘ 0 ⓘ ⓘ electrocatalysis; hydrogen evolution reaction; platinum−silver alloy; repurposed silver; silicon nanowires ⓘ Binary alloys; Binding energy; Binding sites; Cost effectiveness; Electrocatalysts; Electron transitions; Hydrogen; Hydrogen evolution reaction; Nanowires; Platinum; Platinum alloys; Silicon alloys; Silicon compounds; Silicon wafers; Silver; Silver alloys; Alloy formation; Bimetallics; Hydrogen evolution reactions; Performance; Platinum−silver alloy; Pt alloy; Pt-ag alloys; Repurposed silver; Repurposing; Silicon nanowire; Electrocatalysis ⓘ English Article in press 2025 10.1021/acsami.5c05060 ⓘ 바로가기 바로가기 바로가기
○ Article ⓘ Self-Assembled Monolayer-Functionalized NiO Hole Injection layer for Improved Charge Injection in Quantum Dot Light-Emitting Diodes ⓘ The development of quantum dot light-emitting diodes (QLEDs) represents a promising advancement in next-generation display technology. However, there are challenges, especially in achieving efficient hole injection, maintaining charge balance, and replacing low-stability organic materials such as PEDOT:PSS. To address these issues, in this study, self-assembled monolayers (SAMs) were employed to modify the surface properties of NiO, a hole injection material, within the structure of ITO/HIL/TFB/QDs/ZnMgO/Al QLEDs. Specifically, using Br-2PACz-based SAMs resulted in surface defect passivation, improved hole injection, reduced exciton quenching, and enhanced electrical characteristics. Notably, QLEDs based on (NiO+Br-2PACz) demonstrated a turn-on voltage of 2.4 V, a maximum external quantum efficiency (EQE) of 8.30%, a maximum luminance of 88,831 cd/m2, and a maximum current efficiency of 32.78 cd/A. Compared to NiO-based QLEDs, these results represent a reduction in turn-on voltage by approximately 1.5 V, a 1.99-fold increase in EQE, and a 3.63-fold increase in luminance, indicating significantly enhanced performance with notable improvements in turn-on voltage, EQE, and luminance. They also showed higher EQE and luminance than PEDOT:PSS-based QLEDs; this could be attributed to the downshifting of energy levels by Br-2PACz, which reduced the hole injection barrier, increased the conductivity, and improved charge balance. In particular, the reduction in exciton quenching and the increase in electrical conductivity contributed significantly to the overall performance enhancement of the (NiO+Br-2PACz)-based QLEDs. This paper proposes a simple method for inorganic hole injection layer functionalize and application. © 2024 American Chemical Society. ⓘ Lim, Hyo-Jun; Dang, Thi Huong Thao; Lee, Nayoon; Jin, Sunwoo; Vo, Van-Khoe; Lee, Joon-Hyung; Shin, Won Sik; Jeong, Byoung-Seong; Heo, Young-Woo ⓘ School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea, KNU Advanced Material Research Institute, Kyungpook National University, Daegu, 41566, South Korea; School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Hydrogen and Renewable Energy, Kyungpook National University, Daegu, 41566, South Korea, KNU Advanced Material Research Institute, Kyungpook National University, Daegu, 41566, South Korea; School of Materials Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea, KNU Advanced Material Research Institute, Kyungpook National University, Daegu, 41566, South Korea ⓘ ⓘ 57338060200; 58260312800; 59329756800; 59330227000; 57938480800; 57204923460; 23019870800; 35895071700; 7004298542 ⓘ gatorever@knu.ac.kr; ywheo@knu.ac.kr; ⓘ ACS Applied Materials and Interfaces ⓘ ACS APPL MATER INTER ⓘ 1944-8244 1944-8252 17 1 SCIE MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY ⓘ 2024 8.2 17.9 0 2025-05-07 ⓘ 3 ⓘ ⓘ Br-2PACz; hole-injection layer; NiO; QLED; self-assembled monolayer ⓘ Excitons; Hard facing; Laser beams; Layered semiconductors; Negative ions; Organic light emitting diodes (OLED); Photoelectric microscopes; Positive ions; Quantum efficiency; quantum dot; self assembled monolayer; % reductions; Br-2PACz; Charge balances; Exciton quenching; External quantum efficiency; Functionalized; Hole injection layers; PEDOT/PSS; Quantum-dot light emitting diodes; Turn-on voltages; article; conductance; controlled study; electric conductivity; electric potential; light emitting diode; luminance; surface property; Nanocrystals ⓘ English Final 2025 10.1021/acsami.4c16075 ⓘ 바로가기 바로가기 바로가기
○ ○ Article ⓘ Visible-Light-Driven and Adaptable Liquid-Crystalline Elastomer Actuators Containing Dynamically Exchangeable Boron Ester and Disulfide Linkages ⓘ A liquid-crystalline elastomer (LCE) containing dynamically exchangeable disulfide (-S-S-) and boron ester (BE) bonds (LCESS-BE) was successfully prepared. The -S-S- linkages were introduced in the form of a reactive oligomer prepared via a thiol-acrylate Michael addition reaction with bis(2-hydroxyethyl) disulfide acrylate, while the BE linkages were incorporated via the visible-light-induced cross-linking of the oligomer with 4-((allyloxy)methyl)-2-(4-vinylphenyl)-1,3,2-dioxaborolane (AMVD). The monodomain LCESS-BE (MLCESS-BE) with similar to 1 wt % AMVD promoted photothermal actuation under blue-light irradiation, resulting in a rise in its temperature of similar to 147 degrees C and a decrease in its length of similar to 42%. In addition, LCESS-BE films exhibited reversible reprogrammability through two dynamic exchange reactions (DERs) involving either BE or -S-S- linkages. The BE linkages induced water-assisted healing through a hydration/dehydration DER under ambient conditions via a glue-free method, while the -S-S- linkages exhibited a UV-light-induced DER below the nematic-to-isotropic transition temperature, thus maintaining the nematic order during the DER. This approach represents a promising method for the preparation of MLCEs with light-induced actuation and multifunctionality involving reprogramming, reprocessing, and healing properties. ⓘ Das, Gautam; Park, Soo-Young ⓘ Kyungpook Natl Univ, Dept Polymer Sci & Engn, Polymer Nano Mat Lab, Daegu 41566, South Korea ⓘ park, soo-young/N-3170-2017 ⓘ 24358918500; 57194041850 ⓘ psy@knu.ac.kr; ⓘ ACS APPLIED MATERIALS & INTERFACES ⓘ ACS APPL MATER INTER ⓘ 1944-8244 1944-8252 17 8 SCIE MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY ⓘ 2024 8.2 17.9 0 2025-05-07 ⓘ 0 0 liquid-crystalline elastomer; actuator; photothermal; dynamic exchange reaction; disulfide; boronester; reprogramming; healing ⓘ MECHANICAL PERFORMANCE; ORGANIC NANOPARTICLES; SYNERGISTIC COVALENT; POLYMER NETWORKS; BAND-GAP; ENERGY ⓘ actuator; boron ester; disulfide; dynamic exchange reaction; healing; liquid-crystalline elastomer; photothermal; reprogramming ⓘ Dechlorination; Elastomers; Laser beams; Methyl ester; Oligomers; Plastic parts; Rate constants; acrylic acid; boron; disulfide; elastomer; glue; oligomer; thiol; Boron ester; Dynamic exchange reaction; Ester linkages; Exchange reaction; Healing; Light-induced; Liquid crystalline elastomers; Photo-thermal; Reprogramming; Visible-light-driven; article; blue light; controlled study; cross linking; dehydration; drug therapy; hydration; irradiation; light; liquid; Michael addition; temperature; transition temperature; ultraviolet radiation; water; Crosslinking ⓘ English 2025 2025-02-11 10.1021/acsami.5c00055 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Advanced Building Detection with Faster R-CNN Using Elliptical Bounding Boxes for Displacement Handling ⓘ This study presents an enhanced Faster R-CNN framework that incorporates elliptical bounding boxes to significantly improve building detection in off-nadir imagery, effectively reducing severe geometric distortions caused by oblique sensor angles. Off-nadir imagery enhances architectural detail capture and reduces occlusions, but conventional bounding boxes, such as axis-aligned and rotated bounding boxes, often fail to localize buildings distorted by extreme perspectives. We propose a hybrid method integrating elliptical bounding boxes for curved structures and rotated bounding boxes for tilted buildings, achieving more precise shape approximation. In addition, our model incorporates a squeeze-and-excitation mechanism to refine feature representation, suppress background noise, and enhance object boundary alignment, leading to superior detection accuracy. Experimental results on the BONAI dataset demonstrate that our approach achieves a detection rate of 91.96%, significantly outperforming axis-aligned bounding boxes (65.75%) and rotated bounding boxes (87.13%) in detecting irregular and distorted buildings. By providing a highly robust and adaptable detection strategy, our approach establishes a new standard for accurate and shape-aware building recognition in off-nadir imagery, significantly improving the detection of distorted, rotated, and irregular structures. ⓘ Jung, Sejung; Song, Ahram; Lee, Kirim; Lee, Won Hee ⓘ Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea; Kyungpook Natl Univ, Dept Locat Based Informat Syst, Sangju 37224, South Korea; Kyungpook Natl Univ, Res Inst Artificial Intelligent Diag Technol Multi, Sangju 37224, South Korea ⓘ Jung, Sejung/NRB-6938-2025 ⓘ 57209137546; 56496312900; 57193932338; 57190774365 ⓘ renai1226@knu.ac.kr; ars@knu.ac.kr; geolee@knu.ac.ckr; wlee33@knu.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 17 7 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2024 4.1 18.0 0 2025-05-07 ⓘ 0 0 off-nadir imagery; building detection; elliptical bounding boxes; rotated bounding boxes; axis-aligned bounding boxes; geometric distortion; faster R-CNN ⓘ SEGMENTATION; MORPHOLOGY; EXTRACTION ⓘ axis-aligned bounding boxes; building detection; elliptical bounding boxes; faster R-CNN; geometric distortion; off-nadir imagery; rotated bounding boxes ⓘ Axis-aligned bounding boxes; Bounding-box; Building detection; Elliptical bounding box; Ellipticals; Fast R-CNN; Geometric distortion; Off-nadir imagery; Rotated bounding box ⓘ English 2025 2025-04-01 10.3390/rs17071247 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Evaluation of Turbulent Energy Dissipation Rate Estimation from Doppler Lidar: Impact of Techniques and Scanning Strategies ⓘ The turbulent energy dissipation rate (EDR) is a quantitative measure of turbulence intensity, and it is widely used across various fields. Accurate estimation of EDR using Doppler lidar depends on the choice of estimation technique and scanning strategy. Therefore, a comparison of the techniques is still required to achieve an accurate estimation. However, the effect of the choice on estimation accuracy remains uncertain. This study systematically evaluates the accuracy of EDR estimation techniques by utilizing two distinct scanning strategies: a vertically pointing scan (EDRVP) and a Plan Position Indicator scan (EDRVAD). We assess four different EDRVP estimation techniques and assess the accuracy of EDRVAD for each elevation angle by comparing it with the measurements from sonic anemometers on a 300 m tall meteorological tower. EDRVAD shows a positive correlation coefficient exceeding 0.5 with the sonic anemometers. EDRVAD demonstrates dependency on the elevation angle, with lower angles resulting in higher EDR values. Conversely, all of the EDRVP techniques exhibit high agreement, with correlation coefficients above 0.9. This study provides a comprehensive assessment of the accuracy of each technique, highlighting their respective characteristics and practical considerations. ⓘ Baek, Seungwon; Kim, Kwonil; Kim, Jung-Hoon; Lee, Gyuwon ⓘ Kyungpook Natl Univ, Ctr Atmospher Remote Sensing CARE, Dept Atmospher Sci, Daegu 41566, South Korea; SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11790 USA; Seoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South Korea ⓘ Kim, Jung-Hoon/M-9163-2017; Kim, Kwonil/HTN-0103-2023; Kim, Jung-Hoon/AEK-6080-2022 ⓘ 59676557800; 57191964318; 56813053700; 7404852271 ⓘ dnrdnjsdk71@knu.ac.kr; kwonil.kim@stonybrook.edu; jhkim99@snu.ac.kr; gyuwon@knu.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 17 5 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2024 4.1 18.0 0 2025-05-07 ⓘ 0 0 turbulent energy dissipation rate; eddy dissipation rate; Doppler lidar ⓘ ACCURACY ⓘ Doppler lidar; eddy dissipation rate; turbulent energy dissipation rate ⓘ Energy dissipation; Turbulent flow; Velocity measurement; Accurate estimation; Doppler lidars; Eddy dissipation rate; Elevation angle; Energy dissipation rate; Estimation techniques; Rate estimation; Scanning strategies; Sonic anemometer; Turbulent energy dissipation rate; Anemometers ⓘ English 2025 2025-03 10.3390/rs17050939 ⓘ 바로가기 바로가기 바로가기 바로가기
○ Article ⓘ Examining the Sequential Relationships between Voice Changes, Symptom Experiences, Fear of Cancer Recurrence, and Voice-Related Quality of Life in Patients with Thyroid Cancer: A Cross-sectional Study ⓘ Background Thyroid cancer is considered lower-grade cancer with a high survival rate; however, the voice changes, and the presence of other diverse symptoms following a thyroidectomy can impact a patient's voice-related quality of life (VRQOL). Objective This study aimed to examine the serial multiple mediating effects of voice changes, symptom experiences, and fear of cancer recurrence on the VRQOL among patients diagnosed with thyroid cancer postthyroidectomy. Methods This cross-sectional study used a descriptive, structured self-report questionnaire. A total of 225 individuals participated who were 20 years and older, had been diagnosed with thyroid cancer and had undergone thyroidectomy surgery at comprehensive university hospitals in Daegu, Daejeon, Sejong, and Anyang in South Korea before data collection. Results The study's findings revealed a statistically significant direct impact between patients' voice changes and their VRQOL. Moreover, the serial mediation model highlighted that as the severity of patients' voice changes escalated, the intensity of their other symptom experiences and fear of cancer recurrence increased, resulting in a deterioration in their VRQOL. The study's findings identified partial mediating effects of symptom experiences and the fear of cancer recurrence in the association between voice changes and the VRQOL. Conclusions These findings underscore the importance of adopting a modeling approach that considers the simultaneous sequential relationships among 4 pivotal variables, namely, voice changes, symptom experiences, fear of cancer recurrence, and VRQOL. Implications for Practice The findings highlight the crucial impact of voice changes on patients' VRQOL, which is closely linked to various psychological aspects of the disease. © 2024 Wolters Kluwer Health, Inc. All rights reserved. ⓘ Lee, Myung Kyung; Oh, Jihyun ⓘ College of Nursing, Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea; Department of Nursing, College of Nursing and Health, Nursing Convergence Research Center, Kongju National University, Kongju, South Korea ⓘ ⓘ 40661513200; 57207574572 ⓘ jihyunoh3star@kongju.ac.kr; ⓘ Cancer Nursing ⓘ CANCER NURS ⓘ 0162-220X 1538-9804 SCIE;SSCI NURSING;ONCOLOGY ⓘ 2024 2.5 18.0 0 2025-05-07 ⓘ 0 ⓘ ⓘ Fear of cancer recurrence; Symptom experiences; Thyroid cancer; Voice changes; Voice-related quality of life ⓘ ⓘ English Article in press 2025 10.1097/ncc.0000000000001466 ⓘ 바로가기 바로가기 바로가기
○ ○ Article ⓘ High-Resolution, Low-Latency Multi-Satellite Precipitation Merging by Correcting with Weather Radar Network Data ⓘ Satellite-based precipitation products (SPPs) have become a crucial source of quantitative global precipitation data. Geostationary Orbit (GEO) satellites provide high spatiotemporal resolution but tend to have lower accuracy, while Low Earth Orbit (LEO) satellites provide more precise precipitation estimates but suffer from lower temporal resolution due to their limited observation frequency. This study proposes an efficient algorithm for integrating and enhancing precipitation estimates from multiple satellite observations. The target domain includes the Full Disk (FD) and the extended East Asia (EA) regions, both of which are observable by GEO satellites, such as Himawari-8, serving as the GEO platform in this study. The algorithm involves four steps: pre-data preparation, LEO morphing, adjustment, and final merging. It produces Early and Late composite products with 10-min temporal and up to 2 km spatial resolution and significantly reduces latency compared to IMERG. Specifically, the Early and Late products can be generated with approximate latencies of 90 min and 270 min, respectively-much faster than Integrated Multi-satellite Retrievals for GPM (IMERG)'s Early (4-h) and Late (14-h) products. A key feature of the proposed method is the use of accuracy-based weighting derived from radar-based validation, enabling dynamic merging that reflects the reliability of each satellite observation. Statistical validation using Global Telecommunication System (GTS) precipitation data confirmed the positive impact of the proposed bias correction and merging method. In particular, the Late product achieved accuracy comparable to or higher than that of IMERG Early and IMERG Late, despite its significantly shorter latency. However, its accuracy was still lower than that of IMERG Final, which benefits from additional gauge-based correction but is released with a delay of several months. ⓘ Baek, Seungwoo; Ryu, Soorok; Lee, Choeng-Lyong; Tapiador, Francisco J.; Lee, Gyuwon ⓘ Kyungpook Natl Univ, Ctr Atmospher Remote Sensing CARE, Dept Atmospher Sci, BK21 Weather Extremes Educ & Res Team, Daegu 41566, South Korea; Univ Castilla La Mancha, Inst Environm Sci ICAM, Dept Environm Sci, Earth & Space Sci ESS Res Grp, Toledo 45071, Spain ⓘ Tapiador, Francisco/D-2781-2009 ⓘ 57222138182; 35759778300; 58064034000; 6602960153; 7404852271 ⓘ gyuwon@knu.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 17 10 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2024 4.1 18.0 0 2025-06-11 ⓘ 0 0 Geostationary Orbit (GEO); Low Earth Orbit (LEO); GPM; IMERG; satellite precipitation ⓘ DROP SIZE DISTRIBUTIONS; POLARIMETRIC RADAR; PART I; RAINFALL ESTIMATION; SCALE-DEPENDENCE; MCGILL ALGORITHM; GPM IMERG; VARIABILITY; ACCURACY; PRODUCTS ⓘ Geostationary Orbit (GEO); GPM; IMERG; Low Earth Orbit (LEO); satellite precipitation ⓘ Forward error correction; Geodetic satellites; Image communication systems; Satellite communication systems; Weather satellites; Earth orbits; Geostationary orbit; Geostationary orbit satellite; Geostationary orbits; GPM; Integrated multi-satellite retrieval for GPM; Low earth orbit; Precipitation data; Satellite precipitation; Satellite retrieval; Geostationary satellites ⓘ English 2025 2025-05-13 10.3390/rs17101702 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ One-Dimensional Convolutional Neural Network for Automated Kimchi Cabbage Downy Mildew Detection Using Aerial Hyperspectral Images ⓘ Downy mildew poses a significant threat to kimchi cabbage, a vital agricultural product in Korea, adversely affecting its yield and quality. Traditional disease detection methods based on visual inspection are labor intensive and time consuming. This study proposes a non-destructive, field-scale disease detection approach using unmanned aerial vehicle (UAV)-based hyperspectral imaging. Hyperspectral images of the kimchi cabbage field were preprocessed, segmented at the pixel level, and classified into four categories: background, healthy, early-stage disease, and late-stage disease. Spectral analysis of the late and early stages of downy mildew infection revealed notable differences in the red-edge band, with infected plants exhibiting increased red-edge reflectance. To automate disease detection, various machine learning models, including Random Forest (RF), 1D Convolutional Neural Network (1D-CNN), 1D Residual Network (1D-ResNet), and 1D Inception Network (1D-InceptionNet), were developed. These models were trained based on a 0.2 sampling dataset, achieving overall accuracy scores of 0.907, 0.901, 0.909, and 0.914, along with F1 scores of 0.876, 0.845, 0.897, and 0.899, respectively. Overall, the results of this study revealed that the red-edge band reliably signaled the presence of downy mildew, and the 1D-InceptionNet model demonstrated the most effective performance for automatic disease detection. ⓘ Lyu, Yang; Kuswidiyanto, Lukas Wiku; Wang, Pingan; Noh, Hyun-Ho; Jung, Hee-Young; Han, Xiongzhe ⓘ Kangwon Natl Univ, Coll Agr & Life Sci, Interdisciplinary Program Smart Agr, Chunchon 24341, South Korea; Shandong Water Conservancy Vocat Coll, Dept Mech & Elect Engn, Rizhao 276826, Peoples R China; Rural Dev Adm, Dept Agrofood Safety & Crop Protect, Natl Inst Agr Sci, Residual Agrochem Assessment Div, Jeonju 55365, South Korea; Kyungpook Natl Univ, Coll Agr & Life Sci, Dept Plant Pathol, Daegu 41566, South Korea; Kangwon Natl Univ, Coll Agr & Life Sci, Dept Biosyst Engn, Chunchon 24341, South Korea ⓘ ⓘ 59893095100; 57222901917; 57401773300; 56531459500; 59510734500; 55542768900 ⓘ lyuyang@kangwon.ac.kr; lukaswiku@kangwon.ac.kr; wangpingan@kangwon.ac.kr; noh1983@korea.kr; heeyoung@knu.ac.kr; hanxiongzhe@kangwon.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 17 9 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2024 4.1 18.0 0 2025-06-11 ⓘ 0 0 kimchi cabbage; downy mildew; hyperspectral image; unmanned aerial vehicle; 1D-CNN ⓘ PLANTS ⓘ 1D-CNN; downy mildew; hyperspectral image; kimchi cabbage; unmanned aerial vehicle ⓘ Image segmentation; Seed; Target drones; 1d convolutional neural network; Aerial vehicle; Convolutional neural network; Disease detection; Downy mildew; HyperSpectral; Hyperspectral image; Kimchi cabbage; Red edge; Unmanned aerial vehicle; Drones ⓘ English 2025 2025-05-03 10.3390/rs17091626 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Optimizing Stacked Ensemble Machine Learning Models for Accurate Wildfire Severity Mapping ⓘ Wildfires are increasingly frequent and severe, posing substantial risks to ecosystems, communities, and infrastructure. Accurately mapping wildfire severity (WSM) using remote sensing and machine learning (ML) is critical for evaluating damages, informing recovery efforts, and guiding long-term mitigation strategies. Stacking ensemble ML (SEML) enhances predictive accuracy and robustness by combining multiple diverse models into a single meta-learned predictor. This approach leverages the complementary strengths of individual base learners while reducing variance, ultimately improving model reliability. This study aims to optimize a SEML framework to (1) identify the most effective ML models for use as base learners and meta-learners, and (2) determine the optimal number of base models needed for robust and accurate wildfire severity predictions. The study utilizes six ML models-Random Forests (RF), Support Vector Machines (SVM), k-Nearest Neighbors (KNN), Linear Regression (LR), Adaptive Boosting (AB), and Multilayer Perceptron (MLP)-to construct an SEML. To quantify wildfire impacts, we extracted 118 spectral indices from post-fire Landsat-8 data and incorporated four additional predictors (land cover, elevation, slope, and aspect). A dataset of 911 CBI observations from 18 wildfire events was used for training, and models were validated through cross-validation and bootstrapping to ensure robustness. To address multicollinearity and reduce computational complexity, we applied Linear Discriminant Analysis (LDA) and condensed the dataset into three primary components. Our results indicated that simpler models, notably LR and KNN, performed well as meta-learners, with LR achieving the highest predictive accuracy. Moreover, using only two base learners (RF and SVM) was sufficient to realize optimal SEML performance, with an overall accuracy and precision of 0.661, recall of 0.662, and F1-score of 0.656. These findings demonstrate that SEML can enhance wildfire severity mapping by improving prediction accuracy and supporting more informed resource allocation and management decisions. Future research should explore additional meta-learning approaches and incorporate emerging remote sensing data sources such as hyperspectral and LiDAR. ⓘ Nguyen Van, Linh; Lee, Giha ⓘ Kyungpook Natl Univ, Sch Adv Sci & Technol Coverage, Sangju 37224, South Korea ⓘ ⓘ 58045719400; 35069799400 ⓘ linhnguyen@knu.ac.kr; leegiha@knu.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 17 5 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2024 4.1 18.0 0 2025-05-07 ⓘ 1 1 wildfire severity mapping; stacking ensemble machine learning; Landsat satellite; wildfire management ⓘ QUANTIFYING BURN SEVERITY; FIRE SEVERITY; SPECTRAL INDEXES; RANDOM FORESTS; VEGETATION; PERFORMANCE; REGRESSION; LANDSCAPE; DROUGHT; RED ⓘ Landsat satellite; stacking ensemble machine learning; wildfire management; wildfire severity mapping ⓘ Adaptive boosting; Contrastive Learning; Damage detection; Federated learning; Landsat; Nearest neighbor search; Photomapping; Premixed flames; Random forests; Support vector regression; Base learners; Landsat satellite; Machine learning models; Machine-learning; Predictive accuracy; Stacking ensemble machine learning; Stackings; Wildfire management; Wildfire severity; Wildfire severity mapping; Adversarial machine learning ⓘ English 2025 2025-03 10.3390/rs17050854 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Radar-Rain Gauge Merging for High-Spatiotemporal-Resolution Rainfall Estimation Using Radial Basis Function Interpolation ⓘ This study introduces methods for generating fused precipitation data by applying radial basis function (RBF) interpolation, which integrates radar reflectivity-based data with ground-based precipitation gauge measurements. Rain gauges provide direct point rainfall measurements near the ground, while radars capture the spatial variability of precipitation. However, radar-based estimates, particularly for extreme rainfall events, often lack accuracy due to their indirect derivation from radar reflectivity. The study aims to produce high-resolution gridded ground precipitation data by merging radar rainfall estimates with the precise rain gauge measurements. Rain gauge data were sourced from automated synoptic observing systems (ASOSs) and automatic weather systems (AWSs), while radar data, based on hybrid surface rainfall (HSR) composites, were all provided by the Korea Meteorological Administration (KMA). Although RBF interpolation is a well-established technique, its application to the merging of radar and rain gauge data is unprecedented. To validate the accuracy of the proposed method, it was compared with traditional approaches, including the mean field bias (MFB) adjustment method, and kriging-based methods such as regression kriging (RK) and kriging with external drift (KED). Leave-one-out cross-validation (LOOCV) was performed to assess errors by analyzing overall error statistics, spatial errors, and errors in rainfall intensity data. The results showed that the RBF-based method outperformed the others in terms of accuracy. ⓘ Ryu, Soorok; Song, Joon Jin; Lee, Gyuwon ⓘ Kyungpook Natl Univ, Ctr Atmospher REmote Sensing CARE, Daegu 41566, South Korea; Baylor Univ, Dept Stat Sci, Waco, TX 76798 USA; Kyungpook Natl Univ, Dept Astron & Atmospher Sci, BK21 Weather Extremes Educ & Res Team, Daegu 41566, South Korea ⓘ ⓘ 35759778300; 14062434200; 7404852271 ⓘ sryu@knu.ac.kr; joon_song@baylor.edu; gyuwon@knu.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 17 3 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2024 4.1 18.0 5.25 2025-05-07 ⓘ 2 2 radar-rain gauge merging; spatial interpolation; radial basis function; kriging; kriging with external drift ⓘ GLOBAL-SCALE EVALUATION; WEATHER RADAR; PRECIPITATION DATASETS; BIAS; PREDICTION; ACCURACY; EVENT ⓘ kriging; kriging with external drift; radar–rain gauge merging; radial basis function; spatial interpolation ⓘ Error statistics; Forward error correction; Knowledge acquisition; Kriging; Radar measurement; Radar reflection; Radial basis function networks; Rain; Time difference of arrival; Base function; Kriging; Kriging with external drifts; Precipitation data; Radar–rain gauge merging; Radial base function; Radial basis; Radial basis function interpolation; Rain gauges; Spatial interpolation; Rain gages ⓘ English 2025 2025-02 10.3390/rs17030530 ⓘ 바로가기 바로가기 바로가기 바로가기
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