Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Do-Hyuk Kang"'
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1732 (2024)
The retrieval of continuous snow water equivalent (SWE) directly from passive microwave observations is hampered by ambiguity, which can potentially be mitigated by incorporating knowledge on snow hydrological processes. In this paper, we present a d
Externí odkaz:
https://doaj.org/article/dd6221b2eacd4b60967aaffcd9473887
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1359 (2020)
Agricultural drought is triggered by a depletion of moisture content in the soil, which hinders photosynthesis and thus increases carbon dioxide (CO2) concentrations in the atmosphere. The aim of this study is to analyze the relationship between soil
Externí odkaz:
https://doaj.org/article/4e5150be742b4e4984e1c39bc247b67d
Autor:
Donghwan Kim, Hyongki Lee, Hahn Chul Jung, Euiho Hwang, Faisal Hossain, Matthew Bonnema, Do-Hyuk Kang, Augusto Getirana
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 195 (2020)
This paper presents methods of monitoring river basin development and water variability for the transboundary river in North and South Korea. River basin development, such as dams and water infrastructure in transboundary rivers, can be a potential f
Externí odkaz:
https://doaj.org/article/37c10a5e50ba4841b295138a310c3645
Autor:
Kyungtae Lee, Do Hyuk Kang, Hahn Chul Jung, Gwangha Park, Changwoo Gye, Sujay Kumar, Edward J. Kim, Christa D. Peters-lidard, EuiHo Hwang
Publikováno v:
Theoretical and Applied Climatology.
The Modern-Era Retrospective Analysis for Research and Application version 2 (MERRA-2) is a well-established reanalysis dataset and is widely used for driving global-scale hydrological models. However, owing to its relatively coarse spatial resolutio
Autor:
Do Hyuk Kang
Publikováno v:
Cryosphere Discussions; 11/30/2023, p1-22, 22p
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing
Autor:
Leung Tsang, Michael Durand, Chris Derksen, Ana P. Barros, Do-Hyuk Kang, Hans Lievens, Hans-Peter Marshall, Jiyue Zhu, Joel Johnson, Joshua King, Juha Lemmetyinen, Melody Sandells, Nick Rutter, Paul Siqueira, Anne Nolin, Batu Osmanoglu, Carrie Vuyovich, Edward Kim, Drew Taylor, Ioanna Merkouriadi, Ludovic Brucker, Mahdi Navari, Marie Dumont, Richard Kelly, Rhae Sung Kim, Tien-Hao Liao, Firoz Borah, Xiaolan Xu
Publikováno v:
The Cryosphere
The Cryosphere, 2022, 16 (9), pp.3531-3573. ⟨10.5194/tc-16-3531-2022⟩
The Cryosphere, 2022, 16 (9), pp.3531-3573. ⟨10.5194/tc-16-3531-2022⟩
Seasonal snow cover is the largest single component of the cryosphere in areal extent, covering an average of 46 × 106 km2 of Earth's surface (31 % of the land area) each year, and is thus an important expression and driver of the Earth's climate. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f609cfa295aec07efa59b06f2c2bc05
https://tc.copernicus.org/articles/16/3531/2022/
https://tc.copernicus.org/articles/16/3531/2022/
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:10241-10251
There are multiple existing microwave radiative transfer models (RTMs) to simulate the brightness temperature (Tb) of snowpacks. It is still challenging to have consistent Tb responses from RTMs due to individual physical formulations of the snowpack
Review Article: Global Monitoring of Snow Water Equivalent using High Frequency Radar Remote Sensing
Autor:
Chris Derksen, Ioanna Merkouriadi, Juha Lemmetyinen, Jiyue Zhu, Drew Taylor, Nick Rutter, Edward J. Kim, Tien-Hao Liao, Ana P. Barros, Michael Durand, Hans-Peter Marshall, Melody Sandells, Xiaolan Xu, Joshua King, Marie Dumont, Hans Lievens, Richard Kelly, Ludovic Brucker, Do-Hyuk Kang, Mahdi Navari, Joel T. Johnson, Anne W. Nolin, Batu Osmanoglu, Leung Tsang, Rhae Sung Kim, Paul Siqueira, Carrie M. Vuyovich
Seasonal snow cover is the largest single component of the cryosphere in areal extent, covering an average of 46 million square km of Earth's surface (31 % of the land area) each year, and is thus an important expression of and driver of the Earth’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::842dee8f50c4f3d74bd31323db8c8e91
https://doi.org/10.5194/tc-2021-295
https://doi.org/10.5194/tc-2021-295
Publikováno v:
IGARSS
Retrieving snow water equivalent (SWE) from X-, Ku-, and Ka-band microwave observations suffers from low sensitivity and non-uniqueness due to a lack of understanding of snow microphysics and complex terrain covered by snowpack. This paper demonstrat