Jeong, Jaehwan jeong.jaehwan@uam.es

Publications

A Study on Domestic Applicability for the Korean Cosmic-Ray Soil Moisture Observing System

  • Jeong, J.
  • Cho, S.K.
  • Lee, S.L.
  • Kim, K.
  • Lee, Y.J.
  • Lee, C.D.
  • Lee, S.J.
  • Choi, M.
... View more Collapse

Korean Journal Of Remote Sensing (p. 233-246) - 1/1/2023

10.7780/kjrs.2023.39.2.9 View at source

  • ISSN 12256161

A study of artificial neural network for in-situ air temperature mapping using satellite data in urban area

  • Jeon H
  • Jeong J
  • Cho S
  • Choi M

Journal Of Korea Water Resources Association (p. 855-863) - 1/11/2022

10.3741/jkwra.2022.55.11.855 View at source

  • ISSN 27998746

Assessment of Stand-alone Utilization of Sentinel-1 SAR for High Resolution Soil Moisture Retrieval Using Machine Learning

  • Jeong J
  • Cho S
  • Jeon H
  • Lee S
  • Choi M

Korean Journal Of Remote Sensing (p. 571-585) - 1/10/2022

10.7780/kjrs.2022.38.5.1.11 View at source

  • ISSN 12256161

Multi-resolution SAR Image-based Agricultural Reservoir Monitoring

  • Lee S
  • Jeong J
  • Oh S
  • Jeong H
  • Choi M

Korean Journal Of Remote Sensing (p. 497-510) - 1/10/2022

10.7780/kjrs.2022.38.5.1.5 View at source

  • ISSN 12256161

Evaluation of Reservoir Monitoring-based Hydrological Drought Index Using Sentinel-1 SAR Waterbody Detection Technique

  • Kim W
  • Jeong J
  • Choi M

Korean Journal Of Remote Sensing (p. 153-166) - 1/1/2022

10.7780/kjrs.2022.38.2.2 View at source

  • ISSN 12256161

An improved remote sensing based approach for predicting actual Evapotranspiration by integrating LiDAR

  • Khan MS
  • Jeong J
  • Choi M

Advances In Space Research (p. 1732-1753) - 15/8/2021

10.1016/j.asr.2021.04.017 View at source

  • ISSN 02731177

Sentinel-1 SAR image-based waterbody detection technique for estimating the water storage in agricultural reservoirs

  • Jeong J
  • Oh S
  • Lee S
  • Kim J
  • Choi M

Journal Of Korea Water Resources Association (p. 535-544) - 1/7/2021

10.3741/jkwra.2021.54.7.535 View at source

  • ISSN 27998746

A D-vine copula quantile regression approach for soil moisture retrieval from dual polarimetric SAR Sentinel-1 over vegetated terrains

  • Nguyen HH
  • Cho S
  • Jeong J
  • Choi M

Remote Sensing Of Environment - 15/3/2021

10.1016/j.rse.2021.112283 View at source

  • ISSN 00344257

Estimation of soil moisture based on Sentinel-1 SAR data: Assessment of soil moisture estimation in different vegetation condition

  • Cho S
  • Jeong J
  • Lee S
  • Choi M

Journal Of Korea Water Resources Association (p. 81-91) - 1/2/2021

10.3741/jkwra.2021.54.2.81 View at source

  • ISSN 27998746

A study of applying soil moisture for improving false alarm rates in monitoring landslides

  • Oh S
  • Jeong J
  • Choi M
  • Yoon H

Journal Of Korea Water Resources Association (p. 1205-1214) - 1/12/2021

10.3741/jkwra.2021.54.12.1205 View at source

  • ISSN 27998746

This researcher has no books.

This researcher has no book chapters.

ASSESSMENT OF THE SOIL MOISTURE ESTIMATION AT THE KOREA PENINSULA: CASE STUDY FOR AGRICULTURE AND MOUNTAINOUS AREAS

  • Cho, Seongkeun
  • Jeong, Jaehwan
  • Baik, Jongjin
  • Choi, Minha;

2015 Ieee International Geoscience And Remote Sensing Symposium (Igarss) (p. 2362-2364) - 1/1/2019

10.1109/igarss.2019.8897934 View at source

  • ISSN 21536996

HYDROMETEOROLOGICAL DRIVERS OF PARTICULATE MATTER USING BAYESIAN MODEL AVERAGING

  • Lee, Seulchan
  • Jeong, Jaehwan
  • Choi, Minha;

2015 Ieee International Geoscience And Remote Sensing Symposium (Igarss) (p. 7634-7637) - 1/1/2019

10.1109/igarss.2019.8898203 View at source

  • ISSN 21536996

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 7/30/24 2:22 AM