HelioWebYoungryel Ryu
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A[Youngryel Ryu]
AC["Associated Concepts (25)"]
AW["Authored Works (18)"]
CA["Linked Co-Authors (7)"]
CI["Linked Collaborating Institutions (11)"]
A== dcterms:relation ==>AC
AW== author ==>A
AW== author ==>CA
AW== affil ==>CI
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click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0001-6238-2479
- OpenAlex ID
- https://openalex.org/A5053524205 (API record)
Associated Concepts [?]
- Geology
- Environmental science
- Geography
- Biology
- Ecology
- Physics
- Botany
- Remote sensing
- Computer science
- Engineering
- Chemistry
- Atmospheric sciences
- Quantum mechanics
- Optics
- History
- Astronomy
- Archaeology
- Agronomy
- Ecosystem
- Biochemistry
- Oceanography
- Organic chemistry
- Photosynthesis
- Mathematics
- Medicine
Authored Works
sorted by decreasing year, and then by display-name
- Super Resolution of Historic Landsat Imagery Using a GAN model with CubeSat Constellation Imagery
- Near real-time prediction of crop yields using the approximate peak NIRv
- Merging Multiple Sensing Platforms and Deep Learning empowers Individual Tree Mapping and Tree Species Detection at a City-scale
- KoSpec: a hyperspectral remote sensing network for monitoring canopy structure and functions across various ecosystems in Korea
- Geostationary satellite observations reveal the impact of heat waves on diurnal dynamics of ecosystem productivity
- GEO-SIF: A continental-scale, hourly reconstructed solar-induced fluorescence product derived from OCO-3 and GK-2A over Eastern Asia and Oceania
- Fire-induced Reduction in Global Terrestrial Gross Primary Production Varies with Burn Severity and Biomes
- Development of an automated ground-based hyperspectral field spectroscopy system that integrates two geometric observation configurations
- City-Scale Street Trees Mapping through LiDAR, RGB Camera, and INS Integrated Vehicle Sensor System.
- An improved light-use efficiency model for estimating diurnal variation in gross primary production
- A machine learning-based method to partition CO2 fluxes and understand the relationship between gross primary productivity and solar-induced chlorophyll fluorescence
- Tracking Diurnal to Seasonal Variations of Gross Primary Productivity using a Geostationary Satellite, GK-2A Advanced Meteorological Imager in Korean Peninsula
- Multi-objective optimization for sustainable rice production
- Growing Season Crop Type Mapping at Continental Scale
- Generating Daily Gap-filled BRDF Adjusted Surface Reflectance Products with 10 m Resolution Using Geostationary Satellite
- Counting trees at the city scale via merging multiple remote sensing platforms and deep learning
- Continuous measurements of SIF and spectral reflectance with an automated field spectroscopy system
- Black carbon contributes to high soil organic carbon stocks in urban deep soil layers
Linked Co-Authors
Linked Collaborating Institutions
- Beijing Forestry University, China
- Brown University, Rhode Island
- Chiba University, Japan
- Columbia University, New York
- Martin Luther University of Halle, Germany
- Nanjing University of Information Science and Technology, China
- National Institute of Advanced Industrial Science and Technology, Tsukuba
- Seoul National University, Korea
- Ulsan National Institute of Science and Technology, Korea
- University of New Hampshire
- University of Virginia
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