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Jeong, Jaehwan jeong.jaehwan@uam.es

Física de la materia condensada / Universidad Autónoma de Madrid

Actividades

Multi-scale assessment of a cosmic-ray neutron probe observation of soil moisture for surface layer applications in a mountainous forest environment

  • Jeong, Jaehwan
  • Lee, Seulchan
  • Cho, Seongkeun
  • Kim, Kiyoung
  • Choi, Minha

Agricultural And Forest Meteorology - 20/7/2024

10.1016/j.agrformet.2024.110155 Ver en origen

  • ISSN 01681923

Delving into flash droughts in Vietnam during the last two decades using the standardized evaporative stress ratio

  • Nguyen, Ngoc My
  • Choi, Minha

Journal Of Hydrology - 23/1/2024

10.1016/j.jhydrol.2024.130669 Ver en origen

  • ISSN 00221694

The effects of flash drought on the terrestrial ecosystem in Korea

  • Kang, Minsun
  • Hao, Yuefeng
  • Choi, Minha

Journal Of Hydrology - 28/6/2023

10.1016/j.jhydrol.2023.129874 Ver en origen

  • ISSN 00221694

Recovery of ecosystem carbon and water fluxes after drought in China

  • Hao, Yuefeng
  • Choi, Minha

Journal Of Hydrology - 3/6/2023

10.1016/j.jhydrol.2023.129766 Ver en origen

  • ISSN 00221694

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

  • Jeong, Jaehwan
  • Cho, Seongkeun
  • Lee, Seulchan
  • Kim, Kiyoung
  • Lee, Yongjun
  • Lee, Chung Dae
  • Lee, Sinjae
  • Choi, Minha
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Korean Journal Of Remote Sensing (p. 233-246) - 1/1/2023

10.7780/kjrs.2023.39.2.9 Ver en origen

  • 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 Ver en origen

  • ISSN 27998746

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

  • Jeong, Jaehwan
  • Cho, Seongkeun
  • Jeon, Hyunho
  • Lee, Seulchan
  • Choi, Minha

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

10.7780/kjrs.2022.38.5.1.11 Ver en origen

  • ISSN 12256161

Multi-resolution SAR Image-based Agricultural Reservoir Monitoring

  • Lee, Seulchan
  • Jeong, Jaehwan
  • Oh, Seungcheol
  • Jeong, Hagyu
  • Choi, Minha

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

10.7780/kjrs.2022.38.5.1.5 Ver en origen

  • ISSN 12256161

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

  • Kim, Wanyub
  • Jeong, Jaehwan
  • Choi, Minha

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

10.7780/kjrs.2022.38.2.2 Ver en origen

  • ISSN 12256161

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

  • Khan, Muhammad Sarfraz
  • Jeong, Jaehwan
  • Choi, Minha

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

10.1016/j.asr.2021.04.017 Ver en origen

  • ISSN 02731177

Este/a investigador/a no tiene libros.

Este/a investigador/a no tiene capítulos de libro.

Statistical assessment of the influence of hydrometeorological factors on fine dusts

  • Lee S
  • Jeong J
  • Choi M

40th Asian Conference On Remote Sensing, Acrs 2019: Progress Of Remote Sensing Technology For Smart Future - 1/1/2020

  • iMarina

Soil moisture estimation based on water cloud model at the mountainous area

  • Cho S
  • Jeong J
  • Baik J
  • Choi M

40th Asian Conference On Remote Sensing, Acrs 2019: Progress Of Remote Sensing Technology For Smart Future - 1/1/2020

  • iMarina

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 Ver en origen

  • 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 Ver en origen

  • ISSN 21536996

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 24/01/25 14:50