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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 |
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| ○ | ○ | Article | Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance | Objectives To develop a radiomics score using ultrasound images to predict thyroid malignancy and to investigate its potential as a complementary tool to improve the performance of risk stratification systems. Methods We retrospectively included consecutive patients who underwent fine-needle aspiration (FNA) for thyroid nodules that were cytopathologically diagnosed as benign or malignant. Nodules were randomly assigned to a training and test set (8:2 ratio). A radiomics score was developed from the training set, and cutoff values based on the maximum Youden index (Rad_maxY) and for 5%, 10%, and 20% predicted malignancy risk (Rad_5%, Rad_10%, Rad_20%, respectively) were applied to the test set. The performances of the American College of Radiology (ACR) and the American Thyroid Association (ATA) guidelines were compared with the combined performances of the guidelines and radiomics score with interpretations from expert and nonexpert readers. Results A total of 1624 thyroid nodules from 1609 patients (mean age, 50.1 years [range, 18-90 years]) were included. The radiomics score yielded an AUC of 0.85 (95% CI: 0.83, 0.87) in the training set and 0.75 (95% CI: 0.69, 0.81) in the test set (Rad_maxY). When the radiomics score was combined with the ACR or ATA guidelines (Rad_5%), all readers showed increased specificity, accuracy, and PPV and decreased unnecessary FNA rates (allp .05). Conclusion Radiomics help predict thyroid malignancy and improve specificity, accuracy, PPV, and unnecessary FNA rate while maintaining the sensitivity of the ACR and ATA guidelines for both expert and nonexpert readers. | Park, Vivian Y.; Lee, Eunjung; Lee, Hye Sun; Kim, Hye Jung; Yoon, Jiyoung; Son, Jinwoo; Song, Kijun; Moon, Hee Jung; Yoon, Jung Hyun; Kim, Ga Ram; Kwak, Jin Young | Yonsei Univ, Severance Hosp, Coll Med, Res Inst Radiol Sci,Dept Radiol, 50 Yonsei Ro, Seoul 03722, South Korea; Yonsei Univ, Dept Computat Sci & Engn, Seoul, South Korea; Yonsei Univ, Coll Med, Biostat Collaborat Unit, Seoul, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Chilgok Hosp, Sch Med, Dept Radiol, Daegu, South Korea; Yonsei Univ, Coll Nursing, Dept Biostat, Seoul, South Korea | ; Lee, Hye/J-2154-2015; Lee, Eunjung/F-6671-2013; Yoon, Jung Hyun/KHX-0113-2024; Lee, Hye Sun/J-2154-2015 | 55859436900; 59109567500; 57208650357; 57203506201; 57212673396; 57204477366; 57214373825; 35330281300; 36629726900; 57193776343; 7202648908 | docjun@yuhs.ac;docjin@yuhs.ac; | EUROPEAN RADIOLOGY | EUR RADIOL | 0938-7994 | 1432-1084 | 31 | 4 | SCIE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | 2021 | 7.034 | 14.3 | 3.72 | 2025-07-30 | 41 | 36 | Thyroid nodule; Ultrasonography; Risk assessment; Thyroid neoplasms | TI-RADS; ASSOCIATION GUIDELINES; HIGH PREVALENCE; KOREAN SOCIETY; MANAGEMENT; MALIGNANCY; DIAGNOSIS; CANCER | Risk assessment; Thyroid neoplasms; Thyroid nodule; Ultrasonography | Humans; Middle Aged; Retrospective Studies; Risk Assessment; Thyroid Neoplasms; Thyroid Nodule; Ultrasonography; United States; adult; aged; Article; cancer cytodiagnosis; cancer diagnosis; cancer prognosis; controlled study; data analysis software; diagnostic accuracy; diagnostic test accuracy study; female; human; human tissue; major clinical study; male; needle biopsy; predictive value; priority journal; radiomics; real time echography; retrospective study; sensitivity and specificity; thyroid cancer; thyroid nodule; Youden index; diagnostic imaging; echography; middle aged; risk assessment; thyroid nodule; thyroid tumor; United States | English | 2021 | 2021-04 | 10.1007/s00330-020-07365-9 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | A serotonin voltammetric biosensor composed of carbon nanocomposites and DNA aptamer | A sensitive and selective voltammetric biosensor composed of layer-by-layer (LbL) self-assembly of positively charged poly(diallyldimethylammonium)-wrapped oxidized single-walled carbon nanotubes (PDDA-oSWCNTs), negatively charged serotonin (5-hydroxytryptamine, 5-HT)-specific aptamer, and tyrosinase on Au nanoparticles deposited screen printed carbon electrode was developed for measurement of 5-HT. Surface characteristics of 5-HT biosensor were explored using scanning electron microscopy, X-ray photoelectron spectroscopy, and electrochemical impedance spectroscopy. The respective effects of 5-HT-specific aptamer and oSWCNTs on the detection of 5-HT were investigated by differential pulse voltammetry (DPV). The peak current at the potential of 0.29 V (vs. Ag/AgCl) increased with respect to 5-HT concentration resulting in two dynamic ranges from 0.05 to 0.5 and 1 to 20 mu M with a limit of detection of 2 nM from the LbL biosensor in buffer solution, which were better than those without the LbL of aptamer and oSWCNTs. The developed biosensor was applied to the direct determination of 5-HT concentrations in undiluted healthy control and Internet gaming disorder serum samples. The results were verified by comparison with those from liquid chromatography-mass spectrometric analyses. | Li, Jingjing; Si, Yunpei; Park, Yae Eun; Choi, Jung-Seok; Jung, Sung Mi; Lee, Ji Eun; Lee, Hye Jin | Kyungpook Natl Univ, Dept Chem & Green Nano Mat Res Ctr, 80 Daehakro, Daegu City 41566, South Korea; Korea Inst Sci & Technol, Ctr Theragnosis, Biomed Res Div, 5 Hwarang Ro 14 Gil, Seoul 02792, South Korea; SMG SNU Boramae Med Ctr, Dept Psychiat, 20 Boramae Ro 5 Gil, Seoul 07061, South Korea; Korea Inst Toxicol KIT, Environm Fate & Exposure Res Grp, Jinju 52834, Gyeongsangnam D, South Korea | ; LEE, HYEJIN/W-1345-2018 | 57222707218; 57203850418; 57196453951; 57222706691; 56901601400; 55992294200; 56569175200 | jelee9137@kist.re.kr;hyejinlee@knu.ac.kr; | MICROCHIMICA ACTA | MICROCHIM ACTA | 0026-3672 | 1436-5073 | 188 | 4 | SCIE | CHEMISTRY, ANALYTICAL | 2021 | 6.408 | 14.4 | 1.22 | 2025-07-30 | 28 | 26 | Serotonin; Serotonin-specific aptamer; Tyrosinase; Voltammetric biosensor; Internet gaming disorder; Single-walled carbon nanotubes | Internet gaming disorder; Serotonin; Serotonin-specific aptamer; Single-walled carbon nanotubes; Tyrosinase; Voltammetric biosensor | Agaricales; Aptamers, Nucleotide; Biosensing Techniques; DNA; Electrochemical Techniques; Enzymes, Immobilized; Gold; Humans; Internet Addiction Disorder; Limit of Detection; Metal Nanoparticles; Monophenol Monooxygenase; Nanocomposites; Nanotubes, Carbon; Polyethylenes; Quaternary Ammonium Compounds; Serotonin; aptamer; carbon nanotube; DNA; gold; immobilized enzyme; metal nanoparticle; monophenol monooxygenase; nanocomposite; poly-N,N-dimethyl-N,N-diallylammonium chloride; polyethylene derivative; quaternary ammonium derivative; serotonin; Agaricales; blood; chemistry; electrochemical analysis; enzymology; genetic procedures; human; internet addiction; limit of detection; procedures | English | 2021 | 2021-04 | 10.1007/s00604-021-04798-x | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Fluorescent paper strip immunoassay with carbon nanodots@silica for determination of human serum amyloid A1 | A fluorescent paper strip immunoassay in conjunction with carbon nanodots@silica (CND@SiO2) as a label was developed for the quantitative measurements of human serum amyloid A1 (hSAA1) in serum at clinically significant concentrations for lung cancer diagnosis. Monodispersed CND@SiO2 was prepared by cohydrolysis between silane-crosslinked carbon nanodots and silica precursors via the Strober method and further attached covalently to anti-hSAA1 (14F8) monoclonal antibody [anti-hSAA1(14F8)] specific to the hSAA1 target. The hSAA1 concentrations were then determined by quantifying the blue fluorescence intensity upon 365 nm excitation of the captured hSAA1 with anti-hSAA1(14F8)-CND@SiO2 conjugates in the test line on a paper strip where anti-hSAA1 (10G1) monoclonal antibody was physisorbed. The developed fluorescent paper strip with CND@SiO2 can detect hSAA1 at concentrations ranging from 0.1 to 5 nM (R-2 = 0.995), with a limit of detection of 0.258 nM in 10 mM phosphate buffer pH 7.4 containing human serum albumin. The performance of recovery (90.98-109.17%) and repeatability (coefficients of variation < 8.46%) obtained was also acceptable for quantitative determinations. The platform was employed for direct determination of hSAA1 concentrations in undiluted serum samples from lung cancer patients (relative standard deviation (RSD) < 7.46%) and healthy humans (RSD < 3.96%). The results were compared with those obtained using a commercially available enzyme-linked immunosorbent assay alongside liquid chromatography with tandem mass spectrometry measurements. | Supianto, Mulya; Lee, Sang Hyuk; Jhung, Sung Hwa; Mohammad, Hazara Begum; Vu, Hung M.; Kim, Min-Sik; Song, Woo-Young; Kim, Tae-Young; Lee, Hye Jin | Kyungpook Natl Univ, Dept Chem, 80 Daehakro, Daegu City 41566, South Korea; Kyungpook Natl Univ, Green Nanomat Res Ctr, 80 Daehakro, Daegu City 41566, South Korea; Daegu Gyeongbuk Inst Sci & Technol DGIST, Dept New Biol, Daegu 42988, South Korea; Gwangju Inst Sci & Technol GIST, Sch Earth Sci & Environm Engn, Gwangju 61005, South Korea | LEE, HYEJIN/W-1345-2018; Kim, Min-Sik/KFS-9148-2024; Kim, Min-Sik/M-3488-2016; Supianto, Mulya/KIH-9760-2024; Jhung, Sung/AAO-6683-2021 | 57304127400; 55188583800; 6701659467; 57208545948; 57212620342; 57192905667; 57201261557; 57049826900; 56569175200 | hyejinlee@knu.ac.kr; | MICROCHIMICA ACTA | MICROCHIM ACTA | 0026-3672 | 1436-5073 | 188 | 11 | SCIE | CHEMISTRY, ANALYTICAL | 2021 | 6.408 | 14.4 | 0.61 | 2025-07-30 | 12 | 12 | Carbon nanodots@silica; Fluorescent paper strip; Lung cancer; Serum analysis; Human serum amyloid A1 | LUNG-CANCER; PROTEIN CORONA; QUANTIFICATION; VALIDATION | Carbon nanodots@silica; Fluorescent paper strip; Human serum amyloid A1; Lung cancer; Serum analysis | Carbon; Fluorescence; Humans; Immunoassay; Serum Amyloid A Protein; Silicon Dioxide; carbon; serum amyloid A; silicon dioxide; chemistry; fluorescence; human; immunoassay; metabolism; procedures | English | 2021 | 2021-11 | 10.1007/s00604-021-05019-1 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Emerging agents for metastatic pancreatic cancer: spotlight on early phase clinical trials | Introduction Despite the recent development of new chemotherapeutic regimens and combination strategies, metastatic pancreatic cancer (mPC) still shows only a modest response to conventional cytotoxic agents. However, several novel therapeutic agents targeting the unique features of mPC are showing promise in clinical trials. Area covered This article reviews the current state of development of new agents targeting various systems and molecular pathways. We searched PubMed and clinicaltrials.gov in September 2021 with a special focus on ongoing early phase clinical trials to identify the promising therapeutic strategies for mPC. Expert opinion Extensive tumor heterogeneity, complex tumor microenvironment, genetic alterations of the oncogenic signaling pathways, metabolic dysregulation, and a low immunogenicity are hurdles for current treatment approaches. Ongoing research efforts strive to overcome these hurdles and are showing some promising early results. | Kang, Byung Woog; Chau, Ian | Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Oncol Hematol, Daegu, South Korea; Royal Marsden Hosp, Dept Med, London, Surrey, England | ; Chau, Ian/ABC-2023-2020 | 28567838500; 14526721100 | ian.chau@rmh.nhs.uk; | EXPERT OPINION ON INVESTIGATIONAL DRUGS | EXPERT OPIN INV DRUG | 1354-3784 | 1744-7658 | 30 | 11 | SCIE | PHARMACOLOGY & PHARMACY | 2021 | 6.498 | 14.5 | 0.11 | 2025-07-30 | 3 | 2 | Pancreatic cancer; clinical trials; targeted therapy; immune checkpoint inhibitors; antibody drug conjugates | NAB-PACLITAXEL; OPEN-LABEL; MONOCLONAL-ANTIBODY; PLUS GEMCITABINE; DUCTAL ADENOCARCINOMA; II TRIAL; ANTITUMOR-ACTIVITY; DOSE-ESCALATION; SINGLE-CENTER; SOLID TUMORS | antibody drug conjugates; clinical trials; immune checkpoint inhibitors; Pancreatic cancer; targeted therapy | Antineoplastic Agents; Drug Development; Humans; Molecular Targeted Therapy; Neoplasm Metastasis; Pancreatic Neoplasms; Signal Transduction; Tumor Microenvironment; abemaciclib; afatinib; anetumab ravtansine; antineoplastic agent; arginine; ceralasertib; ceritinib; cisplatin; crizotinib; crs 207; defactinib; devimistat; dovitinib; durvalumab; elimusertib; entrectinib; erlotinib; fluorouracil; folinic acid; foscenvivint; gbr 1302; gemcitabine; gimeracil plus oteracil potassium plus tegafur; hydroxychloroquine; ipafricept; ipilimumab; irinotecan; lapatinib; larotrectinib; lenvatinib; masitinib; motixafortide; nimotuzumab; nintedanib; niraparib; nivolumab; olaparib; omp 18r 5; omp 54f 28; oxaliplatin; paclitaxel; palbociclib; pamrevlumab; pembrolizumab; pf 04136309; pimasertib; quemliclustat; ribociclib; rucaparib; selinexor; selumetinib; sotigalimab; talazoparib; ticilimumab; trametinib; trastuzumab; trastuzumab deruxtecan; trastuzumab emtansine; ulixertinib; unclassified drug; vantictumab; venetoclax; zenocutuzumab; zolbetuximab; antineoplastic agent; Article; chimeric antigen receptor T-cell immunotherapy; clinical trial; human; pancreas metastasis; phase 1 clinical trial (topic); phase 2 clinical trial (topic); phase 3 clinical trial (topic); systematic review; drug development; metastasis; molecularly targeted therapy; pancreas tumor; pathology; signal transduction; tumor microenvironment | English | 2021 | 2021-11-02 | 10.1080/13543784.2021.1995354 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | A Detection of Convectively Induced Turbulence Using in Situ Aircraft and Radar Spectral Width Data | A commercial aircraft, departing from Seoul to Jeju Island in South Korea, encountered a convectively induced turbulence (CIT) at about z = 2.2 km near Seoul on 28 October 2018. At this time, the observed radar reflectivity showed that the convective band with cloud tops of z = 6-7 km passed the CIT region with high values of spectral width (SW; larger than 4 m s(-1)). Using the 1 Hz wind data recorded by the aircraft, we estimated an objective intensity of the CIT as a cube root of eddy dissipation rate (EDR) based on the inertial range technique, which was about 0.33-0.37 m(2/3) s(-1). Radar-based EDR was also derived by lognormal mapping technique (LMT), showing that the EDR was about 0.3-0.35 m(2/3) s(-1) near the CIT location, which is consistent with in situ EDR. In addition, a feasibility of the CIT forecast was tested using the weather and research forecast (WRF) model with a 3 km horizontal grid spacing. The model accurately reproduced the convective band passing the CIT event with an hour delay, which allows the use of two methods to calculate EDR: The first is using both the sub-grid and resolved turbulent kinetic energy to infer the EDR; the second is using the LMT for converting absolute vertical velocity (and its combination with the Richardson number) to EDR-scale. As a result, we found that the model-based EDRs were about 0.3-0.4 m(2/3) s(-1) near the CIT event, which is consistent with the estimated EDRs from both aircraft and radar observations. | Kim, Jung-Hoon; Park, Ja-Rin; Kim, Soo-Hyun; Kim, Jeonghoe; Lee, Eunjeong; Baek, SeungWoo; Lee, Gyuwon | Seoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South Korea; Korea Inst Atmospher Predict Syst, Seoul 07071, South Korea; Kyungpook Natl Univ, Dept Astron & Atmospher Sci, Daegu 41566, South Korea | ; Kim, Soo-Hyun/D-1577-2019; Kim, Jung-Hoon/M-9163-2017; Kim, Jung-Hoon/AEK-6080-2022 | 56813053700; 59873506500; 57555816200; 57222134303; 59645397600; 57222138182; 7404852271 | jhkim99@snu.ac.kr;jrpark85@snu.ac.kr;kimsh12@snu.ac.kr;jeonghoekim.14@snu.ac.kr;ejlee@kiaps.org;wind@knu.ac.kr;gyuwon@knu.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 4 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 0.72 | 2025-07-30 | 12 | 9 | convectively induced turbulence; eddy dissipation rate; in situ aircraft data; radar spectral width; numerical weather prediction | Convectively induced turbulence; Eddy dissipation rate; In situ aircraft data; Numerical weather prediction; Radar spectral width | Aircraft; Kinetic energy; Kinetics; Radar; Turbulence; Weather forecasting; Commercial aircraft; Eddy dissipation rate; Horizontal grid spacing; Mapping techniques; Radar observations; Radar reflectivities; Turbulent kinetic energy; Vertical velocity; Aircraft detection | English | 2021 | 2021-02 | 10.3390/rs13040726 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | A Fast Retrieval of Cloud Parameters Using a Triplet of Wavelengths of Oxygen Dimer Band around 477 nm | Clouds act as a major reflector that changes the amount of sunlight reflected to space. Change in radiance intensity due to the presence of clouds interrupts the retrieval of trace gas or aerosol properties from satellite data. In this paper, we developed a fast and robust algorithm, named the fast cloud retrieval algorithm, using a triplet of wavelengths (469, 477, and 485 nm) of the O-2-O-2 absorption band around 477 nm (CLDTO4) to derive the cloud information such as cloud top pressure (CTP) and cloud fraction (CF) for the Geostationary Environment Monitoring Spectrometer (GEMS). The novel algorithm is based on the fact that the difference in the optical path through which light passes with regard to the altitude of clouds causes a change in radiance due to the absorption of O-2-O-2 at the three selected wavelengths. To reduce the time required for algorithm calculations, the look-up table (LUT) method was applied. The LUT was pre-constructed for various conditions of geometry using Vectorized Linearized Discrete Ordinate Radiative Transfer (VLIDORT) to consider the polarization of the scattered light. The GEMS was launched in February 2020, but the observed data of GEMS have not yet been widely released. To evaluate the performance of the algorithm, the retrieved CTP and CF using observational data from the Global Ozone Monitoring Experiment-2 (GOME-2), which cover the spectral range of GEMS, were compared with the results of the Fast Retrieval Scheme for Clouds from the Oxygen A band (FRESCO) algorithm, which is based on the O-2 A-band. There was good agreement between the results, despite small discrepancies for low clouds. | Choi, Haklim; Liu, Xiong; Gonzalez Abad, Gonzalo; Seo, Jongjin; Lee, Kwang-Mog; Kim, Jhoon | Kyungpook Natl Univ, Dept Astron & Atmospher Sci, Daegu 41566, South Korea; Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA; Univ Wisconsin, Dept Astron & Atmospher Sci, Madison, WI 53706 USA; Yonsei Univ, Dept Atmospher Sci, Seoul 03722, South Korea | LIu, Xiong/P-7186-2014; Liu, Xiong/P-7186-2014; Kim, Jhoon/F-6635-2013 | 57215186877; 57200790631; 35766085300; 57218563229; 35412373800; 9233714800 | haklim84@knu.ac.kr;xliu@cfa.harvard.edu;ggonzalezabad@cfa.harvard.edu;jseo47@wisc.edu;kmlee@knu.ac.kr;jkim2@yonsei.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 1 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 0.24 | 2025-07-30 | 4 | 4 | fast retrieval; cloud top pressure; cloud fraction; oxygen dimer; GEMS; FRESCO; VLIDORT | CROSS-SECTIONS; ALGORITHM; GOME-2; ERRORS; UV | Cloud fraction; Cloud top pressure; Fast retrieval; FRESCO; GEMS; Oxygen dimer; VLIDORT | Geostationary satellites; Oxygen; Table lookup; Aerosol properties; Cloud retrieval algorithms; Cloud top pressure; Discrete ordinates; Environment monitoring; Fast retrieval scheme for clouds from the oxygen a bands; Global ozone monitoring experiments; Observational data; Gems | English | 2021 | 2021-01 | 10.3390/rs13010152 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Article | A novel hybrid spatio-temporal forecasting of multisite solar photovoltaic generation | Currently, the world is actively responding to climate change problems. There is significant research interest in renewable energy generation, with focused attention on solar photovoltaic (PV) generation. Therefore, this study developed an accurate and precise solar PV generation prediction model for several solar PV power plants in various regions of South Korea to establish stable supply-and-demand power grid systems. To reflect the spatial and temporal characteristics of solar PV generation, data extracted from satellite images and numerical text data were combined and used. Experiments were conducted on solar PV power plants in Incheon, Busan, and Yeongam, and various machine learning algorithms were applied, including the SARIMAX, which is a traditional statistical time-series analysis method. Furthermore, for developing a precise solar PV generation prediction model, the SARIMAX-LSTM model was applied using a stacking ensemble technique that created one prediction model by combining the advantages of several prediction models. Con-sequently, an advanced multisite hybrid spatio-temporal solar PV generation prediction model with superior performance was proposed using information that could not be learned in the existing single-site solar PV generation prediction model. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | Kim, Bowoo; Suh, Dongjun; Otto, Marc-Oliver; Huh, Jeung-Soo | Department of Convergence & Fusion Engineering, Kyungpook National University, Sangju, 37224, South Korea; Department of Convergence & Fusion Engineering, Kyungpook National University, Sangju, 37224, South Korea; Department of Mathematics, Natural and Economic Science, Ulm University of Applied Science, Prittwitzstr, 10, Ulm, 89075, Germany; Department of Convergence & Fusion Engineering, Kyungpook National University, Sangju, 37224, South Korea | 57219947521; 36613529600; 57217105369; 7102258915 | dongjunsuh@knu.ac.kr; | Remote Sensing | REMOTE SENS-BASEL | N/A | 2072-4292 | 13 | 13 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 2.31 | 2025-07-30 | 34 | Machine learning; Multisite; Prediction; Satellite image; Solar PV generation; Spatio-temporal | Climate change; Economics; Electric power plants; Electric power transmission networks; Forecasting; Learning algorithms; Long short-term memory; Machine learning; Photovoltaic cells; Predictive analytics; Renewable energy resources; Solar power plants; Time series analysis; Ensemble techniques; Renewable energy generation; Research interests; Solar photovoltaic generations; Solar photovoltaics; Spatio-temporal forecasting; Supply and demand; Temporal characteristics; Solar power generation | English | Final | 2021 | 10.3390/rs13132605 | 바로가기 | 바로가기 | 바로가기 | |||||||
| ○ | ○ | Article | A Satellite View of an Intense Snowfall in Madrid (Spain): The Storm 'Filomena' in January 2021 | Evaluating satellite ability in capturing sudden natural disasters such as heavy snowstorms is a topic of societal interest. This paper presents a rapid qualitative analysis of an intense snowfall in Madrid using data from the Global Precipitation Measurement (GPM) mission, specifically the GPM IMERG (Integrated Multi-satellitE Retrievals for GPM) Late Precipitation L3 Half Hourly 0.1 degrees x 0.1 degrees V06 estimates of precipitation (IMERG-Late), and Sentinel-2 imagery. The main research question addressed is the consistency of ground observations, model outputs and satellite data, a topic of major interest for an appropriate and timely societal response to severe weather episodes. Indeed, the choice of the 'Late' product over the IMERG 'Final' or other GPM datasets was motivated by the availability of data for near real-time response to the storm. Additionally, the 30-min temporal resolution of the product would in principle allow for a detailed analysis of the dynamic processes involved in the snowstorm. Using several complementary data sources, it is shown that optical remote sensing sensors (Sentinel) add value to existing ground data and that is invaluable for rapid response to severe meteorological events such as Filomena. Regarding the GPM precipitation radar, the sampling of the GPM-core satellite was insufficient to provide the IMERG algorithm with enough quality data to correctly represent the actual sequence of precipitation. Without corrections, the total precipitation differs from observations by a factor of two. The difficulties of retrieving precipitation with radiometers over snow-covered surfaces was a major factor for the mismatch. Thus, the calibrated precipitation product did not fully capture the historic storm, and neither did the IR-based element of the IMERG-Late product, which is a neural network merging of microwave and infrared data. It follows that increased temporal resolution of spaceborne microwave sensors and improved retrieval of precipitation from radiometers are critical in order to provide a complete account of these sorts of extreme, significant, short-duration cases. Otherwise, the high-quality, radar and radiometer data feeding the high temporal resolution algorithms simply slip through the grasp of the ascending and descending orbits, leaving little quality data to be interpolated into successive overpasses. | Tapiador, Francisco J.; Villalba-Pradas, Anahi; Navarro, Andres; Martin, Raul; Merino, Andres; Garcia-Ortega, Eduardo; Luis Sanchez, Jose; Kim, Kwonil; Lee, Gyuwon | Univ Castilla La Mancha, Inst Environm Sci ICAM, Earth & Space Sci ESS Grp, Toledo 45071, Spain; Univ Leon, Environm Inst IMA, Atmospher Phys Grp GFA, Leon 24071, Spain; Kyungpook Natl Univ, Ctr Atmospher REmote Sensing CARE, Dept Astron & Atmospher Sci, Daegu 41566, South Korea | Merino, Andres/L-4845-2014; Merino, Andrés/L-4845-2014; Villalba Pradas, Anahí/IQR-6483-2023; Martin Martin, Raul/F-2331-2016; Tapiador, Francisco/D-2781-2009; Martín Martín, Raúl/F-2331-2016; Kim, Kwonil/HTN-0103-2023; Garcia-Ortega, Eduardo/A-7088-2012; Villalba Pradas, Anahi/IQR-6483-2023; SANCHEZ, JOSE/F-3378-2016; Navarro, Andrés/AAG-7272-2019 | 6602960153; 57222507228; 57193451684; 17346167900; 55250905500; 15722072200; 7403997708; 57191964318; 7404852271 | francisco.tapiador@uclm.es;anahi.villalba@uclm.es;andres.navarro@unileon.es;raul.mmartin@uclm.es;andres.merino@unileon.es;eduardo-garcia@unileon.es;jl.sanchez@unileon.es;kwonil@knu.ac.kr;gyuwon@knu.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 14 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 0.64 | 2025-07-30 | 10 | 9 | precipitation; snow; Global Precipitation Measurement (GPM) mission; Integrated Multi-satellitE Retrievals for GPM (IMERG); Sentinel; severe events | POLARIMETRIC RADAR; PRECIPITATION; RAINFALL; IMERG; IDENTIFICATION; VARIABILITY; REMOVAL; PRODUCT; ECHOES; CMORPH | Global Precipitation Measurement (GPM) mission; Integrated Multi-satellitE Retrievals for GPM (IMERG); Precipitation; Sentinel; Severe events; Snow | Disasters; Microwave sensors; Orbits; Radiometers; Remote sensing; Satellite imagery; Snow; Storms; Global precipitation measurement missions; High temporal resolution; Optical remote sensing; Precipitation products; Precipitation radar; Qualitative analysis; Satellite retrieval; Total precipitation; Space-based radar | English | 2021 | 2021-07 | 10.3390/rs13142702 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Application of Random Forest Algorithm for Merging Multiple Satellite Precipitation Products across South Korea | Precipitation is a crucial component of the water cycle and plays a key role in hydrological processes. Recently, satellite-based precipitation products (SPPs) have provided grid-based precipitation with spatiotemporal variability. However, SPPs contain a lot of uncertainty in estimated precipitation, and the spatial resolution of these products is still relatively coarse. To overcome these limitations, this study aims to generate new grid-based daily precipitation based on a combination of rainfall observation data with multiple SPPs for the period of 2003-2017 across South Korea. A Random Forest (RF) machine-learning algorithm model was applied for producing a new merged precipitation product. In addition, several statistical linear merging methods have been adopted to compare with the results achieved from the RF model. To investigate the efficiency of RF, rainfall data from 64 observed Automated Synoptic Observation System (ASOS) installations were collected to analyze the accuracy of products through several continuous as well as categorical indicators. The new precipitation values produced by the merging procedure generally not only report higher accuracy than a single satellite rainfall product but also indicate that RF is more effective than the statistical merging method. Thus, the achievements from this study point out that the RF model might be applied for merging multiple satellite precipitation products, especially in sparse region areas. | Nguyen, Giang V.; Le, Xuan-Hien; Van, Linh Nguyen; Jung, Sungho; Yeon, Minho; Lee, Giha | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea; Kyungpook Natl Univ, Disaster Prevent Emergency Management Inst, Sangju 37224, South Korea; Thuyloi Univ, Fac Water Resources Engn, 175 Tay Son, Hanoi 100000, Vietnam | Le, Xuan-Hien/AAZ-9166-2021; Nguyen, Giang/GQZ-4595-2022 | 57297771000; 57209735659; 57297359100; 57209733155; 57223436971; 35069799400 | giangnv@knu.ac.kr;hienlx@knu.ac.kr;linhnguyen@knu.ac.kr;sh1202@knu.ac.kr;alsgh2620@knu.ac.kr;leegiha@knu.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 20 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 2.79 | 2025-07-30 | 40 | 42 | precipitation; machine learning; random forest; merging; South Korea | PASSIVE MICROWAVE; TRMM 3B42; RAINFALL; GAUGE; BASIN; UNCERTAINTY; PERFORMANCE; REGRESSION; NETWORKS; DATASETS | Machine learning; Merging; Precipitation; Random forest; South Korea | Decision trees; Learning algorithms; Machine learning; Rain; Satellites; Surface plasmon resonance; Uncertainty analysis; Grid-based; Hydrological process; Multiple satellites; Precipitation products; Random forest algorithm; Random forest modeling; Random forests; Satellite precipitation products; South Korea; Water cycle; Merging | English | 2021 | 2021-10 | 10.3390/rs13204033 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Change Detection of Building Objects in High-Resolution Single-Sensor and Multi-Sensor Imagery Considering the Sun and Sensor's Elevation and Azimuth Angles | Building change detection is a critical field for monitoring artificial structures using high-resolution multitemporal images. However, relief displacement depending on the azimuth and elevation angles of the sensor causes numerous false alarms and misdetections of building changes. Therefore, this study proposes an effective object-based building change detection method that considers azimuth and elevation angles of sensors in high-resolution images. To this end, segmentation images were generated using a multiresolution technique from high-resolution images after which object-based building detection was performed. For detecting building candidates, we calculated feature information that could describe building objects, such as rectangular fit, gray-level co-occurrence matrix (GLCM) homogeneity, and area. Final building detection was then performed considering the location relationship between building objects and their shadows using the Sun's azimuth angle. Subsequently, building change detection of final building objects was performed based on three methods considering the relationship of the building object properties between the images. First, only overlaying objects between images were considered to detect changes. Second, the size difference between objects according to the sensor's elevation angle was considered to detect the building changes. Third, the direction between objects according to the sensor's azimuth angle was analyzed to identify the building changes. To confirm the effectiveness of the proposed object-based building change detection performance, two building density areas were selected as study sites. Site 1 was constructed using a single sensor of KOMPSAT-3 bitemporal images, whereas Site 2 consisted of multi-sensor images of KOMPSAT-3 and unmanned aerial vehicle (UAV). The results from both sites revealed that considering additional shadow information showed more accurate building detection than using feature information only. Furthermore, the results of the three object-based change detections were compared and analyzed according to the characteristics of the study area and the sensors. Accuracy of the proposed object-based change detection results was achieved over the existing building detection methods. | Jung, Sejung; Lee, Won Hee; Han, Youkyung | Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea; Seoul Natl Univ Sci & Technol, Dept Civil Engn, Seoul 01811, South Korea | Jung, Sejung/NRB-6938-2025 | 57209137546; 57190774365; 55457676600 | renai1226@knu.ac.kr;wlee33@knu.ac.kr;han602@seoultech.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 18 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 0.48 | 2025-07-30 | 4 | 7 | relief displacement; azimuth and elevation angles; object-based building change detection; feature information | BUILT-UP; LIDAR DATA; EXTRACTION; INDEX; SHADOW; MODEL; LAND | Azimuth and elevation angles; Feature information; Object-based building change detection; Relief displacement | Antennas; Buildings; Feature extraction; Image segmentation; Unmanned aerial vehicles (UAV); Artificial structures; Azimuth and elevation angles; Building change detection; Gray level co occurrence matrix(GLCM); High resolution image; Location relationship; Multi-resolution techniques; Object based change detections; Object detection | English | 2021 | 2021-09 | 10.3390/rs13183660 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Comparative Evaluation of Mapping Accuracy between UAV Video versus Photo Mosaic for the Scattered Urban Photovoltaic Panel | It is common practice for unmanned aerial vehicle (UAV) flight planning to target an entire area surrounding a single rooftop's photovoltaic panels while investigating solar-powered roofs that account for only 1% of the urban roof area. It is very hard for the pre-flight route setting of the autopilot for a specific area (not for a single rooftop) to capture still images with high overlapping rates of a single rooftop's photovoltaic panels. This causes serious unnecessary data redundancy by including the surrounding area because the UAV is unable to focus on the photovoltaic panel installed on the single rooftop. The aim of this research was to examine the suitability of a UAV video stream for building 3-D ortho-mosaics focused on a single rooftop and containing the azimuth, aspect, and tilts of photovoltaic panels. The 3-D position accuracy of the video stream-based ortho-mosaic has been shown to be similar to that of the autopilot-based ortho-photo by satisfying the mapping accuracy of the American Society for Photogrammetry and Remote Sensing (ASPRS): 3-D coordinates (0.028 m) in 1:217 mapping scale. It is anticipated that this research output could be used as a valuable reference in employing video stream-based ortho-mosaics for widely scattered single rooftop solar panels in urban settings. | Hwang, Young-Seok; Schluter, Stephan; Park, Seong-Il; Um, Jung-Sup | Kyungpook Natl Univ, Dept Climate Change, Daegu 41566, South Korea; Ulm Univ Appl Sci, Dept Math Nat & Econ Sci, D-89075 Ulm, Germany; Kyungpook Natl Univ, Dept Spatial Informat, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Geog, D-41566 Daegu, Germany | Um, Jung-Sup/F-5351-2018 | 57218585482; 55258366500; 57204267829; 35173565000 | youngseokhwang@knu.ac.kr;stephan.schlueter@thu.de;azurilove@knu.ac.kr;jsaeom@knu.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 14 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 0.72 | 2025-07-30 | 8 | 9 | unmanned aerial vehicle (UAV); video stream; urban photovoltaic panel; ortho-mosaics; mapping accuracy | CAMPUS | Mapping accuracy; Ortho-mosaics; Unmanned aerial vehicle (UAV); Urban photovoltaic panel; Video stream | Air navigation; Antennas; Mapping; Remote sensing; Roofs; Unmanned aerial vehicles (UAV); Video streaming; Comparative evaluations; Data redundancy; Flight planning; Mapping accuracy; Photovoltaic panels; Position accuracy; Research outputs; Rooftop solar panels; Photovoltaic cells | English | 2021 | 2021-07 | 10.3390/rs13142745 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Complementary effect of co-doping aliovalent elements Bi and Sb in self-compensated SnTe-based thermoelectric materials | Research on Pb-free thermoelectric materials as a potential eco-friendly and solid-state source of energy has continuously advanced over time, with SnTe-based materials having shown utmost promising properties owing to their tunable electronic structure and scalable thermal conductivity. In this study, we self-compensate Sn to reduce inherent Sn vacancies, and further tune the carrier concentration by doping with Bi. Sb is further alloyed to incorporate nanostructures that significantly reduce the thermal conductivity. Multiple aliovalent dopants result in a continually decreased carrier concentration and subsequent significantly decreased electrical conductivity. The Seebeck values are seen to increase with temperature, where a maximum value of similar to 171 mu V K-1 is reported with a maximum power factor of similar to 22.7 mu W cm(-1) K-2. We show through first principles DFT calculations the synergistic effect of Bi and Sb to introduce resonance states and an additional valence band convergence effect with increasing Sb that contribute to improved electronic properties. A decreased phonon frequency with co-doping is also reported. A maximum ZT of similar to 0.8 at 823 K is reported in the Sn0.90Bi0.03Sb0.10Te composition, showing good potential in Sb co-doped SnTe-based materials. | Kihoi, Samuel Kimani; Shenoy, U. Sandhya; Bhat, D. Krishna; Lee, Ho Seong | Kyungpook Natl Univ, Sch Mat Sci & Engn, 80 Daehak Ro, Daegu 41566, South Korea; Srinivas Univ, Coll Engn & Technol, Dept Chem, Mangalore 574146, Karnataka, India; Natl Inst Technol Karnataka, Dept Chem, Mangalore 575025, Karnataka, India | BHAT, DENTHAJE/Y-8524-2019; Shenoy, U/AAW-2458-2021; Kihoi, Samuel Kimani/IUM-8515-2023 | 57208396874; 56494709500; 15130527000; 55706810400 | hs.lee@knu.ac.kr; | JOURNAL OF MATERIALS CHEMISTRY C | J MATER CHEM C | 2050-7526 | 2050-7534 | 9 | 31 | SCIE | MATERIALS SCIENCE, MULTIDISCIPLINARY;PHYSICS, APPLIED | 2021 | 8.067 | 14.6 | 2.39 | 2025-07-30 | 45 | 48 | ULTRALOW THERMAL-CONDUCTIVITY; P-TYPE SNTE; BAND CONVERGENCE; RESONANCE LEVELS; TIN TELLURIDE; FRIENDLY SNTE; WASTE HEAT; DOPED SNTE; PERFORMANCE; POWER | Bismuth compounds; Calculations; Carrier concentration; Electronic properties; Electronic structure; IV-VI semiconductors; Tellurium compounds; Thermal conductivity of solids; Thermoelectric equipment; Thermoelectricity; Tin; Electrical conductivity; First-principles DFT calculations; Maximum power factor; Phonon frequencies; Resonance state; Solid-state sources; Synergistic effect; Thermo-Electric materials; Tin compounds | English | 2021 | 2021-08-21 | 10.1039/d1tc01676h | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Estimation of Precipitation Area Using S-Band Dual-Polarization Radar Measurements | Estimating precipitation area is important for weather forecasting as well as real-time application. This paper aims to develop an analytical framework for efficient precipitation area estimation using S-band dual-polarization radar measurements. Several types of factors, such as types of sensors, thresholds, and models, are considered and compared to form a data set. After building the appropriate data set, this paper yields a rigorous comparison of classification methods in statistical (logistic regression and linear discriminant analysis) and machine learning (decision tree, support vector machine, and random forest). To achieve better performance, spatial classification is considered by incorporating latitude and longitude of observation location into classification, compared with non-spatial classification. The data used in this study were collected by rain detector and present weather sensor in a network of automated weather systems (AWS), and an S-band dual-polarimetric weather radar during ten different rainfall events of varying lengths. The mean squared prediction error (MSPE) from leave-one-out cross validation (LOOCV) is computed to assess the performance of the methods. Of the methods, the decision tree and random forest methods result in the lowest MSPE, and spatial classification outperforms non-spatial classification. Particularly, machine-learning-based spatial classification methods accurately estimate the precipitation area in the northern areas of the study region. | Song, Joon Jin; Innerst, Melissa; Shin, Kyuhee; Ye, Bo-Young; Kim, Minho; Yeom, Daejin; Lee, GyuWon | Baylor Univ, Dept Stat Sci, Waco, TX 76798 USA; Juniata Coll, Dept Math, Huntingdon, PA 16652 USA; Kyungpook Natl Univ, Ctr Atmospher Remote Sensing CARE, Dept Astron & Atmospher Sci, Daegu 41566, South Korea; Pusan Natl Univ, Inst Environm Studies, Busan 46241, South Korea | ; Shin, Kyuhee/LMO-2829-2024 | 14062434200; 57224102047; 57222003871; 56727476700; 57224109111; 57224110949; 7404852271 | Joon_Song@baylor.edu;innerst@juniata.edu;kyuhee@knu.ac.kr;boyoungye@pusan.ac.kr;Minho_Kim1@baylor.edu;djyeom@knu.ac.kr;gyuwon@knu.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 11 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 0.48 | 2025-07-30 | 7 | 7 | classification; machine learning; statistical learning; precipitation area estimation; spatial classification | WEATHER RADAR; SPATIAL VARIABILITY; RAINFALL ESTIMATION; SURFACE RAINFALL; ECHOES; GAUGE; IDENTIFICATION; INTERPOLATION; DISDROMETER; VALIDATION | Classification; Machine learning; Precipitation area estimation; Spatial classification; Statistical learning | Decision trees; Discriminant analysis; Learning systems; Logistic regression; Meteorological radar; Polarization; Rain; Random forests; Support vector machines; Support vector regression; Weather forecasting; Classification methods; Dual polarization radar measurements; Leave-one-out cross-validation (LOOCV); Linear discriminant analysis; Mean squared prediction errors; Precipitation areas; Random forest methods; Spatial classification; Radar measurement | English | 2021 | 2021-06 | 10.3390/rs13112039 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Evaluating the Correlation between Thermal Signatures of UAV Video Stream versus Photomosaic for Urban Rooftop Solar Panels | The unmanned aerial vehicle (UAV) autopilot flight to survey urban rooftop solar panels needs a certain flight altitude at a level that can avoid obstacles such as high-rise buildings, street trees, telegraph poles, etc. For this reason, the autopilot-based thermal imaging has severe data redundancy-namely, that non-solar panel area occupies more than 99% of ground target, causing a serious lack of the thermal markers on solar panels. This study aims to explore the correlations between the thermal signatures of urban rooftop solar panels obtained from a UAV video stream and autopilot-based photomosaic. The thermal signatures of video imaging are strongly correlated (0.89-0.99) to those of autopilot-based photomosaics. Furthermore, the differences in the thermal signatures of solar panels between the video and photomosaic are aligned in the range of noise equivalent differential temperature with a 95% confidence level. The results of this study could serve as a valuable reference for employing video stream-based thermal imaging to urban rooftop solar panels. | Hwang, Young-Seok; Schlueter, Stephan; Lee, Jung-Joo; Um, Jung-Sup | Kyungpook Natl Univ, Kyungpook Inst Oceanog, Daegu 41566, South Korea; Ulm Univ Appl Sci, Dept Math Nat & Econ Sci, D-89075 Ulm, Germany; Kyungpook Natl Univ, Res Inst Spatial Informat, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Geog, Daegu 41566, South Korea | Um, Jung-Sup/F-5351-2018 | 57218585482; 55258366500; 57212448507; 35173565000 | youngseokhwang@knu.ac.kr;Stephan.Schlueter@thu.de;jungju501@knu.ac.kr;jsaeom@knu.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 23 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 0.24 | 2025-07-30 | 3 | 4 | unmanned aerial vehicle (UAV); video; urban rooftop solar panel; photomosaic; co-relationship; thermal signature | CALIBRATION; IMAGERY; CAMERA; SCALE; CO2 | Co-relationship; Photomosaic; Thermal signature; Unmanned aerial vehicle (UAV); Urban rooftop solar panel; Video | Air navigation; Antennas; Decision trees; Drones; Infrared imaging; Solar concentrators; Tall buildings; Video streaming; Co-relationships; Flight altitudes; Photomosaic; Rooftop solar panels; Solar panels; Thermal signatures; Thermal-imaging; Unmanned aerial vehicle; Urban rooftop solar panel; Video; Solar cell arrays | English | 2021 | 2021-12 | 10.3390/rs13234770 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Future Directions in Precipitation Science | Precipitation science is a growing research field. It is concerned with the study of the water cycle from a broad perspective, from tropical to polar research and from solid precipitation to humidity and microphysics. It includes both modeling and observations. Drawing on the results of several meetings within the International Collaborative Experiments for the PyeongChang 2018 Olympics and Paralympic Winter Games (ICE-POP 2018), and on two Special Issues hosted by Remote Sensing starting with "Winter weather research in complex terrain during ICE-POP 2018", this paper completes the "Precipitation and Water Cycle" Special Issue by providing a perspective on the future research directions in the field. | Tapiador, Francisco J.; Villalba-Pradas, Anahi; Navarro, Andres; Garcia-Ortega, Eduardo; Lim, Kyo-Sun Sunny; Kim, Kwonil; Ahn, Kwang Deuk; Lee, Gyuwon | Univ Castilla La Mancha, Inst Environm Sci ICAM, Earth & Space Sci ESS Grp, Toledo 45071, Spain; Univ Leon, Environm Inst IMA, Atmospher Phys Grp GFA, Leon 24071, Spain; Kyungpook Natl Univ, Ctr Atmospher REmote Sensing CARE, Dept Astron & Atmospher Sci, Daegu 41566, South Korea; Korea Meteorol Adm, Numer Modeling Ctr NMC, Seoul 156720, South Korea | Kim, Kwonil/HTN-0103-2023; Navarro, Andrés/AAG-7272-2019; Lim, Kyo-Sun/I-3811-2012; Tapiador, Francisco/D-2781-2009; Villalba Pradas, Anahi/IQR-6483-2023; Garcia-Ortega, Eduardo/A-7088-2012 | 6602960153; 57222507228; 57193451684; 15722072200; 57211926026; 57191964318; 57189992426; 7404852271 | francisco.tapiador@uclm.es;Anahi.Villalba@uclm.es;andres.navarro@unileon.es;eduardo.garcia@unileon.es;kyosunlim@knu.ac.kr;kwonil@knu.ac.kr;stratus12@korea.kr;gyuwon@knu.ac.kr; | REMOTE SENSING | REMOTE SENS-BASEL | 2072-4292 | 13 | 6 | SCIE | ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING | 2021 | 5.349 | 14.6 | 0.4 | 2025-07-30 | 6 | 6 | precipitation; satellite observations; surface observations; microphysics; modeling | MODEL INTERCOMPARISON PROJECT; CLIMATE MODELS; COMPLEX TERRAIN; DATA ASSIMILATION; EXTREME EVENTS; RADAR; PRODUCTS; WEATHER; MICROPHYSICS; SIMULATIONS | Microphysics; Modeling; Precipitation; Satellite observations; Surface observations | Sports; Complex terrains; Future research directions; Microphysics; Model and observation; Polar research; Research fields; Solid precipitation; Weather research; Remote sensing | English | 2021 | 2021-03 | 10.3390/rs13061074 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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