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Kyungdo Lee

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

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255

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0

Scholarly Papers (3)

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1.

Enabling 30 M Maize Mapping Without Ground Reference Leveraging Multiple Satellite Platforms in Brazil and Argentina

Downloads 183 (413,774)

Enabling 30 M Maize Mapping Without Ground Reference Leveraging Multiple Satellite Platforms in Brazil and Argentina

Number of pages: 50 Posted: 26 Feb 2025
Ryoungseob Kwon, Youngryel Ryu, Philippe Ciais, David Makowski, Changhyun Choi, Huaize Feng, Sungchan Jeong and Kyungdo Lee
Seoul National University, Seoul National University, University of Paris-Saclay, University of Paris-Saclay - INRAE, Seoul National University, Seoul National University, Seoul National University and affiliation not provided to SSRN
Downloads 111 (639,071)

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Maize mapping, Without field-visits, Cropping intensity, Transfer-learning, Google Earth Engine

Enabling 30 M Maize Mapping Without Ground Reference Leveraging Multiple Satellite Platforms in Brazil and Argentina

Number of pages: 46 Posted: 25 Jan 2025
Youngryel Ryu, Ryoungseob Kwon, Philippe Ciais, David Makowski, Huaize Feng, Sungchan Jeong, Changhyun Choi and Kyungdo Lee
Seoul National University, Seoul National University, University of Paris-Saclay, University of Paris-Saclay - INRAE, Seoul National University, Seoul National University, Seoul National University and affiliation not provided to SSRN
Downloads 72 (871,518)

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Maize mapping, Without field-visits, Cropping intensity, Random Forest, Google Earth Engine

2.

Detecting Plant Physiological Changes Under Stress Using Sun-Induced Chlorophyll Fluorescence from Mid-Spectral Resolution Imagery

Number of pages: 60 Posted: 31 Jan 2025
Wonseok Choi, Youngryel Ryu, Hyungsuk Kimm, Anirudhi Belwalkar, Tomas Poblete, Insu Yeon, Jae-Hyun Ryu, Kyungdo Lee and Pablo J. Zarco-Tejada
Seoul National University, Seoul National University, Seoul National University, University of Melbourne, University of Melbourne, Seoul National University, affiliation not provided to SSRN, affiliation not provided to SSRN and University of Melbourne
Downloads 72 (860,052)

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Far-red sun induced chlorophyll fluorescence, spectral fitting method, DCMU, mid spectral resolution imaging spectroscopy

3.

A Source-Free Unsupervised Domain Adaptation Framework for Large-Scale, In-Season Soybean Mapping

Posted: 24 Jul 2025 Last Revised: 03 Nov 2025
Pengfei Tang, Youngryel Ryu, Shaoyu Wang, Ryoungseob Kwon and Kyungdo Lee
Seoul National University, Seoul National University, Seoul National University, Seoul National University and affiliation not provided to SSRN

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Soybean mapping, Early-season mapping, Source-free domain adaptation, Contrastive learning, Deep learning, Sentinel-2 imagery