Kyoung-Min Kim
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View article: Stabilizing and Optimizing of Automatic Leaf Area Index Estimation in Temporal Forest
Stabilizing and Optimizing of Automatic Leaf Area Index Estimation in Temporal Forest Open
Under climate change, the importance of ecosystem monitoring has been repeatedly emphasized over the past decades. Leaf Area Index (LAI), a key ecosystem variable linking the atmosphere and rhizosphere, has been widely studied through vari…
View article: Charged polymer membrane processing and its impact on membrane separation
Charged polymer membrane processing and its impact on membrane separation Open
This review focuses on charged polymer membranes motivated by their growing importance in membrane-based separation technologies. Charged polymers have a long history in ion exchange chromatography, and thus charged polymer membranes are c…
View article: Neural Scaling Laws for Deep Regression
Neural Scaling Laws for Deep Regression Open
Neural scaling laws--power-law relationships between generalization errors and characteristics of deep learning models--are vital tools for developing reliable models while managing limited resources. Although the success of large language…
View article: Clarke-Park Transformation-Based Input Configuration for CNN Diagnosis of Stator Faults in Three Phase Induction Motors Using Motor Current Signature Analysis
Clarke-Park Transformation-Based Input Configuration for CNN Diagnosis of Stator Faults in Three Phase Induction Motors Using Motor Current Signature Analysis Open
Motor current signature analysis (MCSA) with convolutional neural networks (CNNs) is widely applied to three-phase induction motor fault diagnosis. Conventional input configurations, such as direct three-phase RGB mapping or discrete wavel…
View article: An Analysis of Changes in Population Composition by Age Groups Focusing on Urban Areas with Different Development Periods Taking Tsukuba City as a Case Study
An Analysis of Changes in Population Composition by Age Groups Focusing on Urban Areas with Different Development Periods Taking Tsukuba City as a Case Study Open
View article: Advancement and Applications of Forest Remote Sensing in Korea: Past, Present, and Future Perspectives
Advancement and Applications of Forest Remote Sensing in Korea: Past, Present, and Future Perspectives Open
View article: High-throughput protein characterization by complementation using DNA barcoded fragment libraries
High-throughput protein characterization by complementation using DNA barcoded fragment libraries Open
Our ability to predict, control, or design biological function is fundamentally limited by poorly annotated gene function. This can be particularly challenging in non-model systems. Accordingly, there is motivation for new high-throughput …
View article: Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation
Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation Open
This study explores the quantitative relationship between canopy structure and the canopy escape ratio (fesc), measured as the ratio of near-infrared reflectance of vegetation (NIRv) to the fraction of absorbed photosynthetically active ra…
View article: Current Status of Pre-Calibration Techniques for Enhancing the Positional Accuracy of the Agricultural and Forestry Satellite
Current Status of Pre-Calibration Techniques for Enhancing the Positional Accuracy of the Agricultural and Forestry Satellite Open
The agricultural and forestry satellite, scheduled for launch in 2025, is a satellite being jointly developed by the Ministry of Science and ICT, the Rural Development Administration, and the Korea Forest Service of South Korea. Prior to i…
View article: Deepening the Accuracy of Tree Species Classification: A Deep Learning-Based Methodology
Deepening the Accuracy of Tree Species Classification: A Deep Learning-Based Methodology Open
The utilization of multi-temporally integrated imageries, combined with advanced techniques such as convolutional neural networks (CNNs), has shown significant potential in enhancing the accuracy and efficiency of tree species classificati…
View article: Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term vegetation monitoring
Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term vegetation monitoring Open
Detailed spatial representations of terrestrial vegetation are essential for precision agricultural applications and the monitoring of land cover changes in heterogeneous landscapes. The advent of satellite-based remote sensing has facilit…
View article: Uncovering the Potential of Multi-Temporally Integrated Satellite Imagery for Accurate Tree Species Classification
Uncovering the Potential of Multi-Temporally Integrated Satellite Imagery for Accurate Tree Species Classification Open
In this study, prior to the launch of compact advanced satellite 500 (CAS500-4), which is an agriculture and forestry satellite, nine major tree species were classified using multi-temporally integrated imageries based on a random forest m…
View article: Calibration of BRDF Based on the Field Goniometer System Using a UAV Multispectral Camera
Calibration of BRDF Based on the Field Goniometer System Using a UAV Multispectral Camera Open
The bidirectional reflectance distribution function (BRDF) is important for estimating the physical properties of a surface in remote sensing. In the laboratory, the BRDF can be estimated quickly and accurately using a goniometer, but it i…
View article: An analysis of the Effect of Age, Period, and Cohort on Population Change by Prefectures
An analysis of the Effect of Age, Period, and Cohort on Population Change by Prefectures Open
1980年から2015年までの8時点の国勢調査の都道府県別5歳階級別人口について、「ベイズ型APC分析」を適用し、都道府県の特徴を類型化した。41道府県では、コーホート効果が最も大きかった一方で、6都府県ではコーホート効果よりも年齢効果が大きかった。就業や就学が影響する年齢効果を「年少型、老年型、就業型」、地域的な経済状況の特徴を反映する時代効果を「増加型、減少型、凸型、凹型」、生まれ年代を反映するコーホート効果を「旧世代型、新世代型」に分類し、それぞれの特徴を示した。この…
View article: An Analysis of the Effect of Age, Period and Cohort on Half Grid Square-based Population Change
An Analysis of the Effect of Age, Period and Cohort on Half Grid Square-based Population Change Open
本研究は2000年から2015年までの国勢調査の第4次メッシュを用いて、全国人口構成に対する個々のメッシュ人口構成を対象とし、「ベイズ型APC分析」を適用することで、人口変動に対する効果として年齢・時代・コーホートの3つの要因のどれが影響しているか、特に年齢効果について、どの年齢層が影響しているかを明らかにした。100人以上のメッシュで行った分析の結果より、柏市では約21%、つくば市では約41%のメッシュにおいて、「コーホート効果」よりも、「年齢効果」や「時代効果」の方が人…
View article: A Study on the Application of Successful Forest Greening Experience for Forest and Landscape Restoration: A Comparative Study of Two Koreas
A Study on the Application of Successful Forest Greening Experience for Forest and Landscape Restoration: A Comparative Study of Two Koreas Open
This study examined the development, direction, and characteristics of the North Korean forest restoration policy when compared to similar restoration policies established in South Korea. The success factors of South Korea’s Forest Conserv…
View article: Machine Learning for Tree Species Classification Using Sentinel-2 Spectral Information, Crown Texture, and Environmental Variables
Machine Learning for Tree Species Classification Using Sentinel-2 Spectral Information, Crown Texture, and Environmental Variables Open
The most recent forest-type map of the Korean Peninsula was produced in 1910. That of South Korea alone was produced since 1972; however, the forest type information of North Korea, which is an inaccessible region, is not known due to the …
View article: Improvement of Tropical Cyclone Track Forecast over the Western North Pacific Using a Machine Learning Method
Improvement of Tropical Cyclone Track Forecast over the Western North Pacific Using a Machine Learning Method Open
<p> The accurate tropical cyclone (TC) track forecast is necessary to mitigate and prepare significant damage. TC has been predicted by the numerical models, statistical models, and machine learning methods in previous resea…
View article: Does Deforestation Trigger Severe Flood Damage at Hoeryeong City in North Korea?
Does Deforestation Trigger Severe Flood Damage at Hoeryeong City in North Korea? Open
North Korea has suffered flood damage every year since 1995. It is assumed that this damage is linked to deforestation. Therefore, the purpose of this study was to investigate the effects of deforestation on the occurrence of floods in Nor…
View article: Tree Species Classification Using Hyperion and Sentinel-2 Data with Machine Learning in South Korea and China
Tree Species Classification Using Hyperion and Sentinel-2 Data with Machine Learning in South Korea and China Open
Remote sensing (RS) has been used to monitor inaccessible regions. It is considered a useful technique for deriving important environmental information from inaccessible regions, especially North Korea. In this study, we aim to develop a t…
View article: Ecoregional Characteristics of Korea for Application on Forest Landscape Restoration in North Korea
Ecoregional Characteristics of Korea for Application on Forest Landscape Restoration in North Korea Open
The objectives of this study are to construct an ecoregion map and to extract ecological factors from each ecoregion to adapt FLR (Forest Landscape Restoration) of North Korea. An ecological map was constructed by PCA(Principal Component A…
View article: Spatio-Temporal Changes and Drivers of Deforestation and Forest Degradation in North Korea
Spatio-Temporal Changes and Drivers of Deforestation and Forest Degradation in North Korea Open
The objective of this study is to establish implications for forest restoration planning in North Korea by analyzing spatio-temporal forest changes and detecting bio-physical factors driving forest degraded. We measured the relationship an…
View article: Comparison of Forest Carbon Stocks Estimation Methods Using Forest Type Map and Landsat TM Satellite Imagery
Comparison of Forest Carbon Stocks Estimation Methods Using Forest Type Map and Landsat TM Satellite Imagery Open
기존의 국가산림자원조사(National Forest Inventory, NFI)에 의한 산림탄소저장량 추정 방법은 국가 규모의 평균 탄소저장량 추정에는 충분하지만 표본점 개수가 부족한 시 군 단위의 세밀한 추정은 어렵다. 본 연구에서는 시 군별 산림탄소저장량 추정을 위해 공간 자료를 보조 자료로 이용하고 2가지 업스케일링 방법을 적용하여 격자별 산림탄소저장량 정보를 가진 산림탄소지도를 제작하였다. 대상지역은 충청남도로 2가지…