Search Results - "CHO, Jaeil"

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  1. 1

    Performances of Vegetation Indices on Paddy Rice at Elevated Air Temperature, Heat Stress, and Herbicide Damage by Ryu, Jae-Hyun, Jeong, Hoejeong, Cho, Jaeil

    Published in Remote sensing (Basel, Switzerland) (01-08-2020)
    “…Spectral reflectance-based vegetation indices have sensitive characteristics to crop growth and health conditions. The performance of each vegetation index to…”
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    Journal Article
  2. 2

    Retrieval of Daily Reference Evapotranspiration for Croplands in South Korea Using Machine Learning with Satellite Images and Numerical Weather Prediction Data by Kim, Nari, Kim, Kwangjin, Lee, Soobong, Cho, Jaeil, Lee, Yangwon

    Published in Remote sensing (Basel, Switzerland) (01-11-2020)
    “…Evapotranspiration (ET) is an important component of the Earth’s energy and water cycle via the interaction between the atmosphere and the land surface. The…”
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  3. 3

    Inter-Comparison of Normalized Difference Vegetation Index Measured from Different Footprint Sizes in Cropland by Ryu, Jae-Hyun, Cho, Jaeil

    Published in Remote sensing (Basel, Switzerland) (01-09-2020)
    “…Remote sensing techniques using visible and near-infrared wavelengths are useful for monitoring terrestrial vegetation. The normalized difference vegetation…”
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  4. 4

    Simple method for extracting the seasonal signals of photochemical reflectance index and normalized difference vegetation index measured using a spectral reflectance sensor by RYU, Jae-Hyun, OH, Dohyeok, CHO, Jaeil

    Published in Journal of Integrative Agriculture (01-07-2021)
    “…A spectral reflectance sensor (SRS) fixed on the near-surface ground was developed to support the continuous monitoring of vegetation indices such as the…”
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  5. 5

    A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015 by Kim, Nari, Ha, Kyung-Ja, Park, No-Wook, Cho, Jaeil, Hong, Sungwook, Lee, Yang-Won

    “…This paper compares different artificial intelligence (AI) models in order to develop the best crop yield prediction model for the Midwestern United States…”
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  6. 6

    Estimation of High-Resolution Soil Moisture in Canadian Croplands Using Deep Neural Network with Sentinel-1 and Sentinel-2 Images by Lee, Soo-Jin, Choi, Chuluong, Kim, Jinsoo, Choi, Minha, Cho, Jaeil, Lee, Yangwon

    Published in Remote sensing (Basel, Switzerland) (01-08-2023)
    “…Soil moisture (SM) is a crucial hydrologic factor that affects the global cycle of energy, carbon, and water, as well as plant growth and crop yield;…”
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  7. 7

    Satellite-Based Evaluation of the Post-Fire Recovery Process from the Worst Forest Fire Case in South Korea by Ryu, Jae-Hyun, Han, Kyung-Soo, Hong, Sungwook, Park, No-Wook, Lee, Yang-Won, Cho, Jaeil

    Published in Remote sensing (Basel, Switzerland) (01-06-2018)
    “…The worst forest fire in South Korea occurred in April 2000 on the eastern coast. Forest recovery works were conducted until 2005, and the forest has been…”
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  8. 8

    Multidimensional impulsivity as a mediator of early life stress and alcohol dependence by Kim, Shin Tae, Hwang, Syung Shick, Kim, Hae Won, Hwang, Eun Hee, Cho, Jaeil, Kang, Jee In, Kim, Se Joo

    Published in Scientific reports (07-03-2018)
    “…Early life stress (ELS) leads to increased susceptibility to serious psychiatric problems such as alcohol dependence, but the mechanisms through which ELS…”
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  9. 9

    An Artificial Intelligence Approach to Predict Gross Primary Productivity in the Forests of South Korea Using Satellite Remote Sensing Data by Bora Lee, Nari Kim, Eun-Sook Kim, Keunchang Jang, Minseok Kang, Jong-Hwan Lim, Jaeil Cho, Yangwon Lee

    Published in Forests (01-09-2020)
    “…Many process-based models for carbon flux predictions have faced a wide range of uncertainty issues. The complex interactions between the atmosphere and the…”
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  10. 10

    Simple modeling of the global variation in annual forest evapotranspiration by Komatsu, Hikaru, Cho, Jaeil, Matsumoto, Kazuho, Otsuki, Kyoichi

    Published in Journal of hydrology (Amsterdam) (14-02-2012)
    “…► Annual forest evapotranspiration is highly variable among various sites. ► Zhang’s model caused overestimation in temperate and boreal forests. ► Our revised…”
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  11. 11

    Satellite-Based Prediction of Arctic Sea Ice Concentration Using a Deep Neural Network with Multi-Model Ensemble by Kim, Jiwon, Kim, Kwangjin, Cho, Jaeil, Kang, Yong, Yoon, Hong-Joo, Lee, Yang-Won

    Published in Remote sensing (Basel, Switzerland) (01-01-2019)
    “…Warming of the Arctic leads to a decrease in sea ice, and the decrease of sea ice, in turn, results in warming of the Arctic again. Several microwave sensors…”
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  12. 12

    Simulation of Crop Yields Grown under Agro-Photovoltaic Panels: A Case Study in Chonnam Province, South Korea by Ko, Jonghan, Cho, Jaeil, Choi, Jinsil, Yoon, Chang-Yong, An, Kyu-Nam, Ban, Jong-Oh, Kim, Dong-Kwan

    Published in Energies (Basel) (01-12-2021)
    “…Agro-photovoltaic systems are of interest to the agricultural industry because they can produce both electricity and crops in the same farm field. In this…”
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  13. 13

    Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea by Ryu, Jae-Hyun, Han, Kyung-Soo, Lee, Yang-Won, Park, No-Wook, Hong, Sungwook, Chung, Chu-Yong, Cho, Jaeil

    Published in Remote sensing (Basel, Switzerland) (01-08-2019)
    “…Satellite-based remote sensing techniques have been widely used to monitor droughts spanning large areas. Various agricultural drought indices have been…”
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  14. 14

    An Artificial Intelligence Approach to Prediction of Corn Yields under Extreme Weather Conditions Using Satellite and Meteorological Data by Kim, Nari, Park, Chan-Won, Huh, Morang, Oh, Jaiho, Ha, Kyung-Ja, Cho, Jaeil, Lee, Yang-Won

    Published in Applied sciences (01-06-2020)
    “…This paper describes the development of an optimized corn yield prediction model under extreme weather conditions for the Midwestern United States (US). We…”
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  15. 15

    Remote Sensing-Based Evaluation of Heat Stress Damage on Paddy Rice Using NDVI and PRI Measured at Leaf and Canopy Scales by Ryu, Jae-Hyun, Oh, Dohyeok, Ko, Jonghan, Kim, Han-Yong, Yeom, Jong-Min, Cho, Jaeil

    Published in Agronomy (Basel) (20-08-2022)
    “…Extremely high air temperature at the heading stage of paddy rice causes a yield reduction due to the increasing spikelet sterility. Quantifying the damage to…”
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  16. 16

    Effect of Elevated Air Temperature on the Growth and Yield of Paddy Rice by Oh, Dohyeok, Ryu, Jae-Hyun, Jeong, Hoejeong, Moon, Hyun-Dong, Kim, Hyunki, Jo, Euni, Kim, Bo-Kyeong, Choi, Subin, Cho, Jaeil

    Published in Agronomy (Basel) (01-12-2023)
    “…Rice is one of the major food crops, particularly in Asia. However, it is vulnerable to high temperature and has high yield fluctuations. Monitoring crop…”
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  17. 17

    Application of temperature, water stress, CO2 in rice growth models by Cho, Jaeil, Oki, Taikan

    Published in Rice (New York, N.Y.) (03-05-2012)
    “…In recent decades, numerous studies have attempted to project the impact of hypothesised anthropogenic climate change on rice production. In this study, we…”
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  18. 18

    The Introduction of Naju Ground Observation Site Measurement Data and Web Service for Validation of Satellite Value-Added Products by Ha, Jong-Sung, Jeong, Seung-taek, Kim, Hyun-Ok, Lee, Sun-Gu, Jeong, Dae-won, Cho, Jaeil, Shin, Seo Ho, Kim, Kil-Ja, Kim, Dong-Kwan, Yeom, Jong-Min

    Published in Geo Data (30-06-2023)
    “…The Korea Aerospace Research Institute (KARI) has collaborated with Jeollanamdo Agricultural Research & Extension Services and Chonnam National University to…”
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  19. 19

    Impaired White Matter Integrity and Social Cognition in High-Function Autism: Diffusion Tensor Imaging Study by Im, Woo Young, Ha, Ji Hye, Kim, Eun Joo, Cheon, Keun-Ah, Cho, Jaeil, Song, Dong-Ho

    Published in Psychiatry investigation (01-03-2018)
    “…It is known that many of the cognitive and social deficits associated with autism can arise from abnormal functional connectivity between brain networks. This…”
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  20. 20

    Infrared Soil Moisture Retrieval Algorithm Using Temperature-Vegetation Dryness Index and Moderate Resolution Imaging Spectroradiometer Data by Kwon, Young-Joo, Ryu, Sumin, Cho, Jaeil, Lee, Yang-Won, Park, No-Wook, Chung, Chu-Yong, Hong, Sungwook

    “…Most infrared satellite remote sensors have a higher spatial resolution than microwave satellite sensors. Microwave satellite remote sensing has proven…”
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