Hyungsuk Kimm

Affiliations: 
Seoul National University, Seoul, South Korea 
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"Hyungsuk Kimm"

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Youngryel Ryu grad student 2013-2016 Seoul National University
Kaiyu Guan grad student 2016-2021 UIUC (E-Tree)
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Publications

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Wu G, Guan K, Kimm H, et al. (2024) Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems. Scientific Data. 11: 228
Wu G, Guan K, Ainsworth EA, et al. (2023) Solar-induced chlorophyll fluorescence captures the effects of elevated ozone on canopy structure and acceleration of senescence in soybean. Journal of Experimental Botany
Burroughs CH, Montes CM, Moller CA, et al. (2022) Reductions in Leaf Area Index, Pod Production, Seed Size and Harvest Index Drive Yield Loss to High Temperatures in Soybean. Journal of Experimental Botany
Kumagai E, Burroughs CH, Pederson TL, et al. (2021) Predicting biochemical acclimation of leaf photosynthesis in soybean under in-field canopy warming using hyperspectral reflectance. Plant, Cell & Environment
Zhang J, Guan K, Peng B, et al. (2021) Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand. Nature Communications. 12: 5549
Kimm H, Guan K, Burroughs CH, et al. (2021) Quantifying high-temperature stress on soybean canopy photosynthesis: The unique role of sun-induced chlorophyll fluorescence. Global Change Biology
Peng B, Guan K, Tang J, et al. (2020) Towards a multiscale crop modelling framework for climate change adaptation assessment. Nature Plants. 6: 338-348
Wu G, Guan K, Jiang C, et al. (2020) Radiance-based NIRv as a proxy for GPP of corn and soybean Environmental Research Letters. 15: 034009
Miao G, Guan K, Suyker AE, et al. (2020) Varying Contributions of Drivers to the Relationship Between Canopy Photosynthesis and Far‐Red Sun‐Induced Fluorescence for Two Maize Sites at Different Temporal Scales Journal of Geophysical Research. 125: 5051
Kimm H, Guan K, Jiang C, et al. (2020) Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data Remote Sensing of Environment. 239: 111615
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