Publications

2024

1. 蘇元風、簡大鈞、林怡廷，2024，以卷積神經網路辨識都市區CCTV影像積淹水事件，農業工程學報，第70卷，第2期，第30-39頁 (2024/06) https://doi.org/10.29974/JTAE.202406_70(2).0003  (2024農工學報論文獎佳作獎)

2. 蘇元風，2024，應用深度學習與遠端監視影像分析技術於防災，中國土木水利工程會刊，第51卷，第1期，第47--51頁。

3. 蘇元風、陳韻如、劉俊志，2024，氣候變遷資料偏差校正及水文頻率分析之探討，中國土木水利工程會刊，第51卷，第1期，第24-28頁。

2022

1. Yuan-Fong Su, Yan-Ting Lin, Jiun-Huei Jang*, Jen-Yu Han, 2022, High-resolution Flood Simulation in Urban Areas through the Application of Remote-sensing and Crowdsourcing Technologies, Frontiers in Earth Science,Vol. 9, pp. 756198. DOI: 10.3389/feart.2021.756198 (SCIE, 2021 IF:3.661, 71/200 in Geosciences, Multidisciplinary Q2)

2. Linda See, I. Georgieva, M. Duerauer, T. Kemper, C. Corban, L. Maffenini, M. Pesaresi, F. Sirbu, R. Ahmed, K. Blyshchyk, B. Magori, V. Blyshchyk, O. Melnyk, R. Zadorozhniuk, M.-T. Mandici, Yuan-Fong Su, et al., 2022, A Crowdsourced Global Data Set for Validating Built-up Surface Layers, Scientific Data, Vol. 9, pp. 13. DOI:10.1038/s41597-021-01105-4 (SCIE, 2021 IF: 8.501, 12/73 in Multidisciplinary Sciences Q1)

3. Juan C. L. Bayas, Linda See, I. Georgieva, D. Schepaschenko, O. Danylo, M. Duerauer, H. Bartl, F. Hofhansl, R. Zadorozhniuk, M. Burianchuk, F. Sirbu, B. Magori, K. Blyshchyk, V. Blyshchyk, A. H. Rabia, C. Pawe, Yuan-Fong Su, et al., 2022, Drivers of tropical forest loss between 2008 and 2019, Scientific Data, Vol. 9, pp. 146. DOI: 10.1038/s41597-022-01227-3 (SCIE, 2021 IF: 8.501, 12/73 in Multidisciplinary Sciences Q1)

4. M. Lesiv, D. Schepaschenko, M. Buchhorn, L. See, M. Dürauer, l. Georgieva, M. Jung, F. Hofhansl, K. Schulze, A. Bilous, V. Blyshchyk, L. Mukhortova, C. L. M. Brenes, L. Krivobokov, S. Ntie, K. Tsogt, S. A. Pietsch, E. Tikhonova, M. Kim, F. Di Fulvio, Yuan-Fong Su, et al., 2022, Global forest management data for 2015 at a 100 m resolution, Scientific Data, Vol. 9, pp. 199 DOI: 10.1038/s41597-022-01332-3 (SCIE, 2021 IF: 8.501, 12/73 in Multidisciplinary Sciences Q1)

2021

2020

1. Chiao-Yin Lu , Jyr-Ching Hu , Yu-Chang Chan *, Yuan-Fong Su , Chih-Hsin Chang, 2020, The relationship between surface deformation and groundwater level change and its hydrogeological implications in an alluvial fan: Case study of the Choshui River, Taiwan, Remote Sensing Vol. 12, no. 20, pp. 3315. DOI:10.3390/rs12203315, Oct. 2020. (SCI, 2019 IF: 4.509).

2. Hsiao-Ping Wei, Yuan-Fong Su*, Chao-Tzuen Cheng, Keh-Chia Yeh, 2020, Levee overtopping risk assessment under climate change scenario in Kao-Ping River, Taiwan, Sustainability, Vol. 12, no. 11, pp. 4511. DOI:10.3390/su12114511. (SCI, 2019 IF: 2.576).

3. Yan-Ting Lin, Ming-Der Yang, Jen-Yu Han, Yuan-Fong Su, Jiun-Huei Jang, 2020, Quantifying flood water level using image-based volunteered geographic information, Remote Sensing, Vol. 12, pp. 706. DOI: 10.3390/rs12040706 (SCI, 2019 IF: 4.509).

Before 2019

1. Yuan-Fong Su, 2019, Integrating a scale-invariant feature of fractal geometry into the Hopfield neural network for super-resolution mapping, International Journal of Remote Sensing, Vol. 40, no. 23, pp. 8933-8954. DOI: 10.1080/01431161.2019.1624865. (SCI, 2019 IF: 2.976)

2. Yan-Ting Lin, Wei-Bo Chen, Yuan-Fong Su, Jen-Yu Han, Jiun-Huei Jang*, 2018, Improving river stage forecast by bed reconstruction in sinuous bends, Journal of Hydroinformatics, Vol. 20, no. 4, pp. 960-974. DOI: 10.2166/hydro.2018.119. (SCI, 2019 IF: 1.728).

3. 蘇元風，2018，以傳奇衛星探索大地的歷史傷痕－山坡地長期裸露地監測，土木水利 ； 45卷3期 (2018 / 06 / 01) ， P30 - 33 (EI)

4. Ke-Sheng Cheng*, Yi-Ting Lien, Yii-Chen Wu, Yuan-Fong Su, 2017, On the criteria of model performance evaluation for real-time flood forecasting, Stochastic Environmental Research & Risk Assessment, Vol. 31(5), pp. 1123-1146. DOI: 10.1007/s00477-016-1322-7. (SCI, 2019 IF: 2.351).

5. Yen-Ching Chen, Hau-Wei Chiu, Yuan-Fong Su, Ke-Sheng Cheng*, 2017, Does urbanization increase diurnal land surface temperature variation? Evidence and implications, Landscape and Urban Planning, Vol. 157, pp. 247-258. January. DOI: 10.1016/j.landurbplan.2016.06.014. (2019 IF: 5.441).

6. Yuan-Fong Su, 2016, Spatial continuity and self-similarity in super-resolution mapping: self-similar pixel swapping, Remote Sensing Letters, Vol. 7(4), pp. 338-347. DOI: 10.1080/2150704X.2015.1137988. (SCI, 2019 IF: 2.298).

7. Yuan-Fong Su*, Chao-Tzuen Cheng, Jun-Jih Liou, and Yung-Ming Chen, Akio Kitoh, 2016, Bias correction of MRI-WRF dynamic downscaling datasets, Journal of Terrestrial, Atmospheric and Oceanic Sciences, Vol. 27, pp. 649-657, DOI: 10.3319/TAO.2016.07.14.01. (2019 I IF: 0.703).

8. Tingyeh Wu, Hung-Ju Shih, Hsin-Chi Li, Yuan-Fong Su, and Yung-Ming Chen, 2016, Landslide impact assessment by the projection rainfall data from climate change scenario, Journal of Terrestrial, Atmospheric and Oceanic Sciences, Vol. 27, pp. 729-740, DOI: 10.3319/TAO.2016.07.18.03. (2019 IF: 0.703).

9. Nobuaki Kimura, Shen Chiang*, Hsiao-Ping Wei, Yuan-Fong Su, Jung-Lien Chu, Chao-Tzuen Cheng, Jun-Jih Liou, Yung-Ming Chen, and Lee-Yaw Lin, 2014, Tsengwen Reservoir Watershed Hydrological Flood Simulation Under Global Climate Change Using the 20 km Mesh Meteorological Research Institute Atmospheric General Circulation Model (MRI-AGCM), Journal of Terrestrial, Atmospheric and Oceanic Sciences, Vol. 25(3), pp. 449-461 (2019 IF:0.703).

10. Nobuaki Kimura, Akira Tai*, Shen Chiang, Hsiao-Ping Wei, Yuan-Fong Su, Chao-Tzuen Cheng, Akio Kitoh, 2014, Hydrological Flood Simulation Using a Design Hyetograph Created from Extreme Weather Data of a High-Resolution Atmospheric General Circulation Model, Water, Vol. 6, pp. 345-366 (2019 IF:2.544).

11. Su, Y.F.*, Foody, G.M., Muad, A.M., Cheng, K.S., 2012, Combining pixel swapping and contouring methods to enhance super-resolution mapping, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5(5), pp. 1428-1437. DOI: 10.1109/JSTARS.2012.2216514. (SCI, 2019 IF: 3.827).

12. Su, Y.F.*, Foody, G.M., Muad, A.M., Cheng, K.S., 2012, Combining Hopfield neural network and contouring methods to enhance super-resolution mapping, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5(5), pp. 1403-1417. DOI: 10.1109/JSTARS.2012.2191537. (SCI, 2019 IF: 3.827).

13. Su, Y.F.*, Foody, G.M., Cheng, K.S., 2012, Spatial nonstationarity in the relationships between land cover types and surface temperature in urban and suburban area in TaoYuan, Taiwan. Landscape and Urban Planning, Vol. 107(2), pp.172-180. DOI: 10.1016/j.landurbplan.2012.05.016. (SCI and SSCI, 2019 IF: 5.441).

14. Wu, Y.C., Liou, J.J., Su, Y.F., Cheng, K.S.*, 2012, Establishing acceptance regions for L-moments based goodness-of-fit tests for the Pearson type III distribution, Stochastic Environmental Research & Risk Assessment, Vol. 26(6), pp. 873-885 (SCI, 2019 IF: 2.351).

15. Wu, Y.C., Hou, J.C., Liou, J.J, Su, Y.F., Cheng, K.S.*, 2012, Assessing the impact of climate change on basin-average annual typhoon rainfalls with consideration of multisite correlation, Paddy and Water Environment, Vol. 10(2), pp:103-112 (SCI, 2019 IF: 1.262).

16. Cheng, K.S.*, Y.F. Su, H.C. Yeh, J.H. Chang, W.C., Hung, 2012, A path radiance estimation algorithm using reflectance measurements in radiometric control areas, International Journal of Remote Sensing. Vol. 33(5), pp: 1543-1566 (SCI, 2019 IF: 2.976).

17. Liou, J.J, Y.F. Su, Chiang, J.L., Cheng, K.S.*, 2011, Gamma random field simulation by covariance matrix transformation method. Stochastic Environmental Research & Risk Assessment. Vol. 25(2), pp: 235-251 (SCI, 2019 IF: 2.351).

18. Su, Y.F., Liou, J.J., Hou, J.C., Hung, W.C., Hsu, S.M., Lien, Y.T., Su, M.D., Cheng, K.S.*, Wang, Y.F., 2008, “A multivariate model for coastal water quality mapping using satellite remote sensing images.” Sensors. Vol. 8, pp: 6321-6339 (SCI, 2019 IF: 3.275).

19. Cheng, K.S.*, Y.F. Su, F.T. Kuo, W.C. Hung, J.L. Chiang, 2008, Assessing the effect of land-cover on air temperature using remote sensing images- A pilot study in northern Taiwan, Landscape and Urban Planning. Vol. 85, pp: 85-96 (SCI and SSCI, 2019 IF: 5.441).

Patents

1. 蘇元風、張志新、陳宏宇，專利名稱：山區洪水偵測方法，專利證號：I650529，2019年2月11日取得

Conferences paper

2024

1. Nhat Thanh Tran, Yuan-Fong Su, Applying Machine Learning Models to Predict Missing Weather Data Values for SWAT Model Building, AOGS, 2024, Korea.

2. Yu-Cheng Chen, Yuan-Fong Su, Using SWAT Model to Assess Changes in Sediment Transportation in Wu River Basin under Climate Change, AOGS, 2024, Korea.

3. Chun-Ju Cheng, Yuan-Fong Su, Divergence as an indicator for feature selection for land cover classification using machine learning method in a cloud-based remote sensing platform, AOGS, 2024, Korea.

4. Yu-Yun Liu, Yuan-Fong Su, Surface Change Detection Using Planet Imagery with Google Earth Engine, AOGS, 2024, Korea.

2023

1. Su, Yuan-Fong (2023, Jan). Forest recovery study using multi-temporal MODIS imagery in Google Earth Engine. Interpraevent 2023, TaiChung.

2. Chia-Hsuan Chung, Yu-Cheng Chen, Chun-Ju Cheng, Yuan-Fong Su (2023, Jul). Sediment estimation using machine learning approaches in Wu River, Taiwan. AOGS, 2023, Singapore

Before 2021

1. Yuan-Fong Su, 2019, Fractal geometry in Super-resolution mapping, 2019 International Symposium on Remote Sensing, Taipei, Taiwan.

2. Lu, C.Y., Hu, J.C., Yuan-Fong Su, Chang, C.H., 2019, Integrating Multi-Temporal Interferometry and in situ monitoring data for analyzing long-term land subsidence phenomenon: A case study of Changhua and Yunlin Counties, 第36屆測量與空間資訊研討會.

3.