Items where IIASA Author is "Jo, Hyun-Woo" (original) (raw)
Number of items: 6.
Article
Jo, H.-W.
ORCID: https://orcid.org/0000-0001-6127-883X, Won, M.-S., Kraxner, F., Jeon, S., Son, Y., Krasovskiy, A.
ORCID: https://orcid.org/0000-0003-0940-9366 & Lee, W.-K. (2025). Projecting Forest Fire Probability in South Korea under Climate Change, Population, and Forest Management Scenarios Using AI & Process-Based Hybrid Model (FLAM-Net). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 1-21. 10.1109/JSTARS.2025.3564852.
Lee, S., Roh, M., Jo, H.-W.
ORCID: https://orcid.org/0000-0001-6127-883X, Joon, K. & Lee, W.-K. (2025). Machine learning-based rainfall-induced landslide susceptibility model and short-term early warning assessment in South Korea. Landslides 10.1007/s10346-025-02513-y.
Park, E.
ORCID: https://orcid.org/0000-0002-0442-7621, Jo, H.-W.
ORCID: https://orcid.org/0000-0001-6127-883X, Biging, G.S., Chun, J.A., Jeon, S.W., Son, Y., Kraxner, F. & Lee, W.-K. (2024). Advancement of a diagnostic prediction model for spatiotemporal calibration of earth observation data: a case study on projecting forest net primary production in the mid-latitude region. GIScience & Remote Sensing 61 (1), e2401247. 10.1080/15481603.2024.2401247.
Jo, H.-W.
ORCID: https://orcid.org/0000-0001-6127-883X, Krasovskiy, A.
ORCID: https://orcid.org/0000-0003-0940-9366, Hong, M., Corning, S.
ORCID: https://orcid.org/0009-0001-5277-5380, Kim, W., Kraxner, F. & Lee, W.-K. (2023). Modeling Historical and Future Forest Fires in South Korea: The FLAM Optimization Approach. Remote Sensing 15 (5), e1446. 10.3390/rs15051446.
Monograph
Jo, H.-W.
ORCID: https://orcid.org/0000-0001-6127-883X (2022). Optimization of the IIASA’s FLAM model to represent forest fires in South Korea. IIASA YSSP Report.Laxenburg, Austria: IIASA
Conference or Workshop Item
Jo, H.-W.
ORCID: https://orcid.org/0000-0001-6127-883X, Corning, S.
ORCID: https://orcid.org/0009-0001-5277-5380, Kiparisov, P.
ORCID: https://orcid.org/0000-0003-1223-7964, San Pedro, J.
ORCID: https://orcid.org/0000-0001-9317-7275, Krasovskiy, A.
ORCID: https://orcid.org/0000-0003-0940-9366, Kraxner, F. & Lee, W.-K. (2024). Integrating Human Domain Knowledge into Artificial Intelligence for Hybrid Forest Fire Prediction: Case Studies from South Korea and Italy. DOI:10.5194/egusphere-egu24-12320. In: EGU General Assembly 2024, 14-19 April 2024, Vienna.
This list was generated on Thu Jun 11 10:49:43 2026 UTC.