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1. Peer-reviewed journal articles (International Journals)

(lab members are in bold, *corresponding author)

-In review-

Wan, L., Ryu, Y.*, Dechant, B., Lee, J., Zhong, Z., Feng, H. (2023) Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects. Remote Sensing of Environment (submitted)

Lian, X., Fang, J., Jeong, S., Ryu, Y., Gentine, P., (2023) Optically-based photosynthetic activity and greenness indices show noticeably inconsistent ecosystem changes. Submitted

Cai, W., Zhu, Z., Harrison, S.P., Ryu, Y., Wang, H., Zhou, B., Prentice, I.C. (2023) A unifying principle for global greenness patterns and trends. Submitted

Jiang, C., Guan, K., Fang, H., Ryu, Y., Li, K. (2022) A scalable monitoring framework for leaf area index and green area index using 30°-tilted cameras. Submitted 

Prentice, C.I., Balzarolo, M., Bloomfield, K., Chen, J.M., Dechant, B., Ghent, D., Janssens, I., Luo, X., Morfopoulos, C., Ryu, Y., Vicca, S., van Hoolst, R., Principles for satellite monitoring of vegetation carbon uptake (2022) Nature Reviews Earth & Environment. In review

-In revision-

Zhong, Z., Ryu, Y.*, Kong, J., Kwon, R., Clausi, D.A., Wong, A., Lee, K. (2023) CloudFormer: Transformer Networks for Cloud and Cloud Shadow Detection on Landsat-8 and Sentinel-2 Images. ISPRS Journal of Photogrammetry and Remote Sensing (revision)



[103] Zaheer, S., Ryu, Y.*, Lee, J., Zhong, Z., Lee, K. (2023) In-season Wall-to-wall Crop Type Mapping Using Ensemble of Image Segmentation Models.  IEEE Transactions on Geoscience and Remote Sensing, In press 

[102] Yan, Y., Ryu, Y.*, Li, B., Dechant, B., Zaheer, S.A., & Kang, M. (2024). A multi-objective optimization approach to simultaneously halve water consumption, CH4, and N2O emissions while maintaining rice yield. Agricultural and Forest Meteorology, 344, 109785 [HTML] [PDF]


[101] Kwon, R., Ryu, Y.*, Yang, T., Zhong, Z., & Im, J. (2023). Merging multiple sensing platforms and deep learning empowers individual tree mapping and species detection at the city scale. ISPRS Journal of Photogrammetry and Remote Sensing, 206, 201-221 [HTML] (2023.12)

[100] Lian, X., Chen A., Peñuelas, J., Keenan, T., Ryu, Y., Piao, S., Fang, J., Yu, K., Zhang, Y., Gentine, P., (2023) Diminishing carryover benefits of earlier spring vegetation growth. Submitted to Nature Ecology and Evolution In press

[99] Yan, Y., Ryu, Y.*, Dechant, B., Li, B., & Kim, J. (2023). Dark respiration explains nocturnal stomatal conductance in rice regardless of drought and nutrient stress. Plant, Cell & Environment, 46, 3748-3759 [HTML] [PDF] (2023.12)

[98] Hwang, Y., Kim, J., & Ryu, Y.* (2023). Canopy structural changes explain reductions in canopy-level solar induced chlorophyll fluorescence in Prunus yedoensis seedlings under a drought stress condition. Remote Sensing of Environment, 296, 113733 [HTML] (2023. 10)

[97] Li, B., Ryu, Y.*, Jiang, C., Dechant, B., Liu, J., Yan, Y., & Li, X. (2023). BESSv2.0: A satellite-based and coupled-process model for quantifying long-term global land–atmosphere fluxes. Remote Sensing of Environment, 295, 113696 [HTML] (2023. 09)

[96] Li, X., Ryu, Y.*, Xiao, J., Dechant, B., Liu, J., Li, B., Jeong, S., & Gentine, P. (2023). New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave. Science Advances, 9, eadi0775 [HTML​] (2023.08)

[95] Qu, S., Ryu, Y.*, Liu, J., & Wang, J.A. (2023). Greening rate in North Korea doubles South Korea. Environmental Research Letters, 18, 084020 [HTML] (2023.08)

[94] Liu, S., Yan, Z., Wang, Z., Serbin, S., Visser, M., Zeng, Y., Ryu, Y., Su, Y., Guo, Z., Song, G., Wu, Q., Zhang, H., Cheng, K.H., Dong, J., Hau, B.C.H., Zhao, P., Yang, X., Liu, L., Rogers, A., & Wu, J. (2023). Mapping foliar photosynthetic capacity in sub-tropical and tropical forests with UAS-based imaging spectroscopy: Scaling from leaf to canopy. Remote Sensing of Environment, 293, 113612 [HTML] (2023. 08)

[93] Kong, J., Ryu, Y.*, Jeong, S., Zhong, Z., Choi, W., Kim, J., Lee, K., Lim, J., Jang, K., Chun, J., Kim, K.-M., & Houborg, R. (2023). Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term vegetation monitoring. ISPRS Journal of Photogrammetry and Remote Sensing, 200, 1-23 [HTML] (2023. 06)

[92] Yamamoto, Y., Ichii, K., Ryu, Y., Kang, M., Murayama, S., Kim, S.-J., & Cleverly, J.R. (2023). Detection of vegetation drying signals using diurnal variation of land surface temperature: Application to the 2018 East Asia heatwave. Remote Sensing of Environment, 291, 113572 [HTML] (2023. 06)

[91] Ueyama, M., Knox, S.H., Delwiche, K.B., Bansal, S., Riley, W.J., Baldocchi, D., Hirano, T., McNicol, G., Schafer, K., Windham-Myers, L., Poulter, B., Jackson, R.B., Chang, K.-Y., Chen, J., Chu, H., Desai, A.R., Gogo, S., Iwata, H., Kang, M., Mammarella, I., Peichl, M., Sonnentag, O., Tuittila, E.-S., Ryu, Y., Euskirchen, E.S., Göckede, M., Jacotot, A., Nilsson, M.B., & Sachs, T. (2023). Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions. Global Change Biology, 29, 2313-2334 [HTML] (2023.04)

[90] Kang, M., Cho, S., Kim, J., Sohn, S., Ryu, Y., & Kang, N. (2023). On securing continuity of eddy covariance flux time-series after changing the measurement height: Correction for flux differences due to the footprint difference. Agricultural and Forest Meteorology, 331, 109339 [HTML] (2023.03)

[89] Jeong, S., Ryu, Y.*, Dechant, B., Li, X., Kong, J., Choi, W., Kang, M., Yeom, J., Lim, J., Jang, K., & Chun, J. (2023). Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager. Remote Sensing of Environment, 284, 113365  [HTML] (2023.01)

[88] Ouyang, Z., Jackson, R.B., McNicol, G., Fluet-Chouinard, E., Runkle, B.R.K., Papale, D., Knox, S.H., Cooley, S., Delwiche, K.B., Feron, S., Irvin, J.A., Malhotra, A., Muddasir, M., Sabbatini, S., Alberto, M.C.R., Cescatti, A., Chen, C.-L., Dong, J., Fong, B.N., Guo, H., Hao, L., Iwata, H., Jia, Q., Ju, W., Kang, M., Li, H., Kim, J., Reba, M.L., Nayak, A.K., Roberti, D.R., Ryu, Y., Swain, C.K., Tsuang, B., Xiao, X., Yuan, W., Zhang, G., & Zhang, Y. (2023). Paddy rice methane emissions across Monsoon Asia. Remote Sensing of Environment, 284, 113335 [HTML] (2023.01)

[87] Guo, Z., Still, C.J., Lee, C.K.F., Ryu, Y., Blonder, B., Wang, J., Bonebrake, T.C., Hughes, A., Li, Y., Yeung, H.C.H., Zhang, K., Law, Y.K., Lin, Z., & Wu, J. (2023). Does plant ecosystem thermoregulation occur? An extratropical assessment at different spatial and temporal scales. New Phytologist, 238, 1004-1018 [HTML] (2023.05)


[86] Kim, J., Ryu, Y*., & Dechant, B. (2022). Development of a filter-based near-surface remote sensing system to retrieve far-red sun-induced chlorophyll fluorescence. Remote Sensing of Environment, 283, 113311 [HTML] (2022.12)


[85] Hwang, Y., Ryu, Y.*, & Qu, S. (2022). Expanding vegetated areas by human activities and strengthening vegetation growth concurrently explain the greening of Seoul. Landscape and Urban Planning, 227, 104518 [HTML] (2022.11)

[84] Yamamoto, Y., Ichii, K., Ryu, Y., Kang, M., & Murayama, S. (2022). Uncertainty quantification in land surface temperature retrieved from Himawari-8/AHI data by operational algorithms. ISPRS Journal of Photogrammetry and Remote Sensing, 191, 171-187  [HTML] (2022.09)

[83] Wu, G., Jiang, C., Kimm, H., Wang, S., Bernacchi, C., Moore, C.E., Suyker, A., Yang, X., Magney, T., Frankenberg, C., Ryu, Y., Dechant, B., & Guan, K. (2022). Difference in seasonal peak timing of soybean far-red SIF and GPP explained by canopy structure and chlorophyll content. Remote Sensing of Environment, 279, 113104  [HTML] (2022.09)

[82] Zhan, W., Yang, X., Ryu, Y., Dechant, B., Huang, Y., Goulas, Y., Kang, M., & Gentine, P. (2022). Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning. Agricultural and Forest Meteorology, 321, 108980 [HTML] (2022.06)

[81] Zeng, Y., Hao, D., Huete, A., Dechant, B., Berry, J., Chen, J.M., Joiner, J., Frankenberg, C., Bond-Lamberty, B., Ryu, Y., Xiao, J., Asrar, G.R., & Chen, M. (2022). Optical vegetation indices for monitoring terrestrial ecosystems globally. Nature Reviews Earth & Environment [HTML] (2022.06)

[80] Kim, D.G., Bond-Lamberty, B., Ryu, Y., Seo, B., & Papale, D. (2022). Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries. Biogeosciences, 19, 1435-1450 [HTML] (2022.05)


[79] Kong, J., Ryu, Y.*, Liu, J., Dechant, B., Rey-Sanchez, C., Shortt, R., Szutu, D., Verfaillie, J., Houborg, R., & Baldocchi, D.D. (2022). Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates. Agricultural and Forest Meteorology, 316, 108878 [HTML] (2022.04)

[78] Guo, Z., Yan, Z., Majcher, B.M., Lee, C.K.F., Zhao, Y., Song, G., Wang, B., Wang, X., Deng, Y., Michaletz, S.T., Ryu, Y., Ashton, L.A., Lam, H.-M., Wong, M.S., Liu, L., & Wu, J. (2022). Dynamic biotic controls of leaf thermoregulation across the diel timescale. Agricultural and Forest Meteorology, 315, 108827 [HTML] (2022.03)

[77] Zeng, Y., Chen, M., Hao, D., Damm, A., Badgley, G., Rascher, U., Johnson, J.E., Dechant, B., Siegmann, B., Ryu, Y., Qiu, H., Krieger, V., Panigada, C., Celesti, M., Miglietta, F., Yang, X., & Berry, J.A. (2022). Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses. Remote Sensing of Environment, 270, 112856 [HTML] (2022.03)

[76] Dechant, B., Ryu, Y.*, Badgley, G., Köhler, P., Rascher, U., Migliavacca, M., Zhang, Y., Tagliabue, G., Guan, K., Rossini, M., Goulas, Y., Zeng, Y., Frankenberg, C., & Berry, J.A. (2022). NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales. Remote Sensing of Environment, 268, 112763 [HTML] (2022.01)


[75] Bae, J., & Ryu, Y.* (2021). The magnitude and causes of edge effects on soil organic carbon stocks within and across urban to rural forest patches. Landscape and Urban Planning, 215, 104223 [HTML] (2021.11)

[74] Zeng, Y., Hao, D., Badgley, G., Damm, A., Rascher, U., Ryu, Y., Johnson, J., Krieger, V., Wu, S., Qiu, H., Liu, Y., Berry, J.A., & Chen, M. (2021). Estimating near-infrared reflectance of vegetation from hyperspectral data. Remote Sensing of Environment, 267, 112723  [HTML] (2021.10)


[73] Harrison, S.P., Cramer, W., Franklin, O., Prentice, I.C., Wang, H., Brännström, Å., de Boer, H., Dieckmann, U., Joshi, J., Keenan, T.F., Lavergne, A., Manzoni, S., Mengoli, G., Morfopoulos, C., Peñuelas, J., Pietsch, S., Rebel, K.T., Ryu, Y., Smith, N.G., Stocker, B.D., & Wright, I.J. (2021). Eco-evolutionary optimality as a means to improve vegetation and land-surface models. New Phytologist, 231, 2125-2141 [HTML​] (2021.09)

[72] Knox, S.H., Bansal, S., McNicol, G., Schafer, K., Sturtevant, C., Ueyama, M., Valach, A.C., Baldocchi, D., Delwiche, K., Desai, A.R., Euskirchen, E., Liu, J., Lohila, A., Malhotra, A., Melling, L., Riley, W., Runkle, B.R.K., Turner, J., Vargas, R., Zhu, Q., Alto, T., Fluet-Chouinard, E., Goeckede, M., Melton, J.R., Sonnentag, O., Vesala, T., Ward, E., Zhang, Z., Feron, S., Ouyang, Z., Alekseychik, P., Aurela, M., Bohrer, G., Campbell, D.I., Chen, J., Chu, H., Dalmagro, H.J., Goodrich, J.P., Gottschalk, P., Hirano, T., Iwata, H., Jurasinski, G., Kang, M., Koebsch, F., Mammarella, I., Nilsson, M.B., Ono, K., Peichl, M., Peltola, O., Ryu, Y., Sachs, T., Sakabe, A., Sparks, J.P., Tuittila, E.-S., Vourlitis, G.L., Wong, G.X., Windham-Myers, L., Poulter, B., & Jackson, R.B. (2021). Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales. Global Change Biology, 27, 3582-3604 [HTML] (2021.08)

[71] Delwiche, K.B., Knox, S.H., Malhotra, A., Fluet-Chouinard, E., McNicol, G., Feron, S., Ouyang, Z., Papale, D., Trotta, C., Canfora, E., Cheah, Y.W., Christianson, D., Alberto, M.C.R., Alekseychik, P., Aurela, M., Baldocchi, D., Bansal, S., Billesbach, D.P., Bohrer, G., Bracho, R., Buchmann, N., Campbell, D.I., Celis, G., Chen, J., Chen, W., Chu, H., Dalmagro, H.J., Dengel, S., Desai, A.R., Detto, M., Dolman, H., Eichelmann, E., Euskirchen, E., Famulari, D., Fuchs, K., Goeckede, M., Gogo, S., Gondwe, M.J., Goodrich, J.P., Gottschalk, P., Graham, S.L., Heimann, M., Helbig, M., Helfter, C., Hemes, K.S., Hirano, T., Hollinger, D., Hörtnagl, L., Iwata, H., Jacotot, A., Jurasinski, G., Kang, M., Kasak, K., King, J., Klatt, J., Koebsch, F., Krauss, K.W., Lai, D.Y.F., Lohila, A., Mammarella, I., Belelli Marchesini, L., Manca, G., Matthes, J.H., Maximov, T., Merbold, L., Mitra, B., Morin, T.H., Nemitz, E., Nilsson, M.B., Niu, S., Oechel, W.C., Oikawa, P.Y., Ono, K., Peichl, M., Peltola, O., Reba, M.L., Richardson, A.D., Riley, W., Runkle, B.R.K., Ryu, Y., Sachs, T., Sakabe, A., Sanchez, C.R., Schuur, E.A., Schäfer, K.V.R., Sonnentag, O., Sparks, J.P., Stuart-Haëntjens, E., Sturtevant, C., Sullivan, R.C., Szutu, D.J., Thom, J.E., Torn, M.S., Tuittila, E.S., Turner, J., Ueyama, M., Valach, A.C., Vargas, R., Varlagin, A., Vazquez-Lule, A., Verfaillie, J.G., Vesala, T., Vourlitis, G.L., Ward, E.J., Wille, C., Wohlfahrt, G., Wong, G.X., Zhang, Z., Zona, D., Windham-Myers, L., Poulter, B., & Jackson, R.B. (2021). FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands. Earth System Science Data, 13, 3607-3689 [HTML] (2021.07)

[70] Kim, J., Ryu, Y.*, Dechant, B., Lee, H., Kim, H.S., Kornfeld, A., & Berry, J.A. (2021). Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition. Remote Sensing of Environment, 258, 112362 [HTML] [PDF] (2021.06)

[69] Chang, K.-Y., Riley, W.J., Knox, S.H., Jackson, R.B., McNicol, G., Poulter, B., Aurela, M., Baldocchi, D., Bansal, S., Bohrer, G., Campbell, D.I., Cescatti, A., Chu, H., Delwiche, K.B., Desai, A.R., Euskirchen, E., Friborg, T., Goeckede, M., Helbig, M., Hemes, K.S., Hirano, T., Iwata, H., Kang, M., Keenan, T., Krauss, K.W., Lohila, A., Mammarella, I., Mitra, B., Miyata, A., Nilsson, M.B., Noormets, A., Oechel, W.C., Papale, D., Peichl, M., Reba, M.L., Rinne, J., Runkle, B.R.K., Ryu, Y., Sachs, T., Schäfer, K.V.R., Schmid, H.P., Shurpali, N., Sonnentag, O., Tang, A.C.I., Torn, M.S., Trotta, C., Tuittila, E.-S., Ueyama, M., Vargas, R., Vesala, T., Windham-Myers, L., Zhang, Z., & Zona, D. (2021). Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions. Nature Communications, 12, 2266 [HTML]  [PDF] (2021.04)

[68] Müller, J., Faybishenko, B., Agarwal, D., Bailey, S., Jiang, C., Ryu, Y., Tull, C., & Ramakrishnan, L. Assessing data change in scientific datasets. Concurrency and Computation: Practice and Experience, e6245 [HTML] (2021.03)

[67] Ely, K.S., Rogers, A., Agarwal, D.A., Ainsworth, E.A., Albert, L.P., Ali, A., Anderson, J., Aspinwall, M.J., Bellasio, C., Bernacchi, C., Bonnage, S., Buckley, T.N., Bunce, J., Burnett, A.C., Busch, F.A., Cavanagh, A., Cernusak, L.A., Crystal-Ornelas, R., Damerow, J., Davidson, K.J., De Kauwe, M.G., Dietze, M.C., Domingues, T.F., Dusenge, M.E., Ellsworth, D.S., Evans, J.R., Gauthier, P.P.G., Gimenez, B.O., Gordon, E.P., Gough, C.M., Halbritter, A.H., Hanson, D.T., Heskel, M., Hogan, J.A., Hupp, J.R., Jardine, K., Kattge, J., Keenan, T., Kromdijk, J., Kumarathunge, D.P., Lamour, J., Leakey, A.D.B., LeBauer, D.S., Li, Q., Lundgren, M.R., McDowell, N., Meacham-Hensold, K., Medlyn, B.E., Moore, D.J.P., Negrón-Juárez, R., Niinemets, Ü., Osborne, C.P., Pivovaroff, A.L., Poorter, H., Reed, S.C., Ryu, Y., Sanz-Saez, A., Schmiege, S.C., Serbin, S.P., Sharkey, T.D., Slot, M., Smith, N.G., Sonawane, B.V., South, P.F., Souza, D.C., Stinziano, J.R., Stuart-Haëntjens, E., Taylor, S.H., Tejera, M.D., Uddling, J., Vandvik, V., Varadharajan, C., Walker, A.P., Walker, B.J., Warren, J.M., Way, D.A., Wolfe, B.T., Wu, J., Wullschleger, S.D., Xu, C., Yan, Z., & Yang, D. (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics, 61, 101232 [HTML] (2021.03)

[66] Kong, J., Ryu, Y.*, Huang, Y., Dechant, B., Houborg, R., Guan, K., Zhu, X. (2021) Evaluation of four image fusion NDVI products against in-situ spectral-measurements over a heterogeneous rice paddy landscape. Agricultural and Forest Meteorology 297, 108255. [HTML] [PDF] (2021.02)

[65] Yan, Y., Ryu, Y.* (2021) Exploring Google Street View with deep learning for crop type mapping. ISPRS Journal of Photogrammetry and Remote Sensing 171, 278-296. [HTML] [PDF] (2021.01)

[64] He W, Yoo G, Ryu Y. 2021. Evaluation of effective quantum yields of photosystem II for CO2 leakage monitoring in carbon capture and storage sites. PeerJ 9:e10652 [HTML] (2021.01)



[63] Bae, J., Ryu, Y.* (2020) High soil organic carbon stocks under impervious surfaces contributed by urban deep cultural layers. Landscape and Urban Planning 204, 103953. [HTML] [PDF] (2020.12)

[62] Jiang, C.*, Ryu, Y.*, Wang, H., Keenan, T.F. (2020) An optimality-based model explains seasonal variation in C3 plant photosynthetic capacity. Global Change Biology 26, 6493-6510. [HTML] [PDF] (2020.11)

[61] Braghiere, R.K., Quaife, T., Black, E., Ryu, Y., Chen, Q., De Kauwe, M.G., Baldocchi, D. (2020) Influence of sun zenith angle on canopy clumping and the resulting impacts on photosynthesis. Agricultural and Forest Meteorology 291, 108065. [HTML] [PDF] (2020.09)

[60] Baldocchi, D.D., Ryu, Y., Dechant, B., Eichelmann, E., Hemes, K., Ma, S., Sanchez, C.R., Shortt, R., Szutu, D., Valach, A., Verfaillie, J., Badgley, G., Zeng, Y., Berry, J.A. (2020) Outgoing Near-Infrared Radiation From Vegetation Scales With Canopy Photosynthesis Across a Spectrum of Function, Structure, Physiological Capacity, and Weather. Journal of Geophysical Research: Biogeosciences 125, e2019JG005534. [HTML] [PDF] (2020.07)

[59] Fisher, J.B., Lee, B., Purdy, A.J., Halverson, G.H., Dohlen, M.B., Cawse-Nicholson, K., Wang, A., Anderson, R.G., Aragon, B., Arain, M.A., Baldocchi, D.D., Baker, J.M., Barral, H., Bernacchi, C.J., Bernhofer, C., Biraud, S.C., Bohrer, G., Brunsell, N., Cappelaere, B., Castro-Contreras, S., Chun, J., Conrad, B.J., Cremonese, E., Demarty, J., Desai, A.R., De Ligne, A., Foltýnová, L., Goulden, M.L., Griffis, T.J., Grünwald, T., Johnson, M.S., Kang, M., Kelbe, D., Kowalska, N., Lim, J.-H., Maïnassara, I., McCabe, M.F., Missik, J.E.C., Mohanty, B.P., Moore, C.E., Morillas, L., Morrison, R., Munger, J.W., Posse, G., Richardson, A.D., Russell, E.S., Ryu, Y., Sanchez-Azofeifa, A., Schmidt, M., Schwartz, E., Sharp, I., Šigut, L., Tang, Y., Hulley, G., Anderson, M., Hain, C., French, A., Wood, E., Hook, S. (2020) ECOSTRESS: NASA’s Next Generation Mission to Measure Evapotranspiration From the International Space Station. Water Resources Research 56, e2019WR026058. [HTML] [PDF]  (2020.04)

[58] Jiang, C.*, Guan, K.,* Pan, M., Ryu, Y., Peng, B., Wang, S. (2020) BESS-STAIR: a framework to estimate daily, 30 m, and all-weather crop evapotranspiration using multi-source satellite data for the US Corn Belt. Hydrology and Earth System Sciences 24, 1251-1273. [HTML] [PDF]  (2020.05)

[57] Dechant, B., Ryu, Y.*, Badgley, G., Zeng, Y., Berry, J.A., Zhang, Y., Goulas, Y., Li, Z., Zhang, Q., Kang, M., Li, J., Moya, I. (2020) Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops. Remote Sensing of Environment 241, 111733. [HTML] [PDF]  (2020.05)

[56] Hwang, Y., Ryu, Y.*, Huang, Y., Kim, J., Iwata, H., Kang, M.* (2020) Comprehensive assessments of carbon dynamics in an intermittently-irrigated rice paddy. Agricultural and Forest Meteorology 285-286, 107933. [HTML] [PDF] (2020.05)

[55] Forzieri, G., Miralles, D.G., Ciais, P., Alkama, R., Ryu, Y., Duveiller, G., Zhang, K., Robertson, E., Kautz, M., Martens, B., Jiang, C., Arneth, A., Georgievski, G., Li, W., Ceccherini, G., Anthoni, P., Lawrence, P., Wiltshire, A., Pongratz, J., Piao, S., Sitch, S., Goll, D.S., Arora, V.K., Lienert, S., Lombardozzi, D., Kato, E., Nabel, J.E.M.S., Tian, H., Friedlingstein, P., Cescatti, A. (2020) Increased control of vegetation on global terrestrial energy fluxes. Nature Climate Change 10, 356-362. [HTML] [PDF] (2020.04)


[54] Dechant, B., Ryu, Y.*, Kang, M. (2019) Making full use of hyperspectral data for gross primary productivity estimation with multivariate regression: Mechanistic insights from observations and process-based simulations. Remote Sensing of Environment 234, 111435. [HTML] [PDF] (2019.12)

[53] Knox, S.H., Jackson, R.B., Poulter, B., McNicol, G., Fluet-Chouinard, E., Zhang, Z., Hugelius, G., Bousquet, P., Canadell, J.G., Saunois, M., Papale, D., Chu, H., Keenan, T.F., Baldocchi, D., Torn, M.S., Mammarella, I., Trotta, C., Aurela, M., Bohrer, G., Campbell, D.I., Cescatti, A., Chamberlain, S., Chen, J., Chen, W., Dengel, S., Desai, A.R., Euskirchen, E., Friborg, T., Gasbarra, D., Goded, I., Goeckede, M., Heimann, M., Helbig, M., Hirano, T., Hollinger, D.Y., Iwata, H., Kang, M., Klatt, J., Krauss, K.W., Kutzbach, L., Lohila, A., Mitra, B., Morin, T.H., Nilsson, M.B., Niu, S., Noormets, A., Oechel, W.C., Peichl, M., Peltola, O., Reba, M.L., Richardson, A.D., Runkle, B.R.K., Ryu, Y., Sachs, T., Schäfer, K.V.R., Schmid, H.P., Shurpali, N., Sonnentag, O., Tang, A.C.I., Ueyama, M., Vargas, R., Vesala, T., Ward, E.J., Windham-Myers, L., Wohlfahrt, G., Zona, D. (2019) FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions. Bulletin of the American Meteorological Society 100, 2607-2632 [HTML] [PDF] (2019.12)

[52] Zhao, K., Ryu, Y., Hu, T., Garcia, M., Li, Y., Liu, Z., Londo, A., Wang, C. (2019) How to better estimate leaf area index and leaf angle distribution from digital hemispherical photography? Switching to a binary nonlinear regression paradigm. Methods in Ecology and Evolution 10, 1864-1874.  [HTML] [PDF] (2019.11)

[51] Zeng, Y., Badgley, G., Dechant, B., Ryu, Y., Chen, M., Berry, J.A. (2019) A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence. Remote Sensing of Environment 232, 111209  [HTML] [PDF] (2019.10)

[50] Tagliabue, G., Panigada, C., Dechant, B., Baret, F., Cogliati, S., Colombo, R., Migliavacca, M., Rademske, P., Schickling, A., Schüttemeyer, D., Verrelst, J., Rascher, U., Ryu, Y., Rossini, M. (2019) Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem. Remote Sensing of Environment 231, 111272 [HTML] [PDF] (2019.09)

[49] Yuan, W., Zheng, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu, Y., Chen, G., Dong, W., Hu, Z., Jain, A.K., Jiang, C., Kato, E., Li, S., Lienert, S., Liu, S., Nabel, J.E.M.S., Qin, Z., Quine, T., Sitch, S., Smith, W.K., Wang, F., Wu, C., Xiao, Z., Yang, S. (2019) Increased atmospheric vapor pressure deficit reduces global vegetation growth. Science Advances 5, eaax1396 [HTML] [PDF] (2019.8)

[48] Baldocchi, D., Dralle, D., Jiang, C., Ryu, Y. (2019) How Much Water Is Evaporated Across California? A Multiyear Assessment Using a Biophysical Model Forced With Satellite Remote Sensing Data. Water Resources Research 55, 2722-2741. [HTML] [PDF] (2019.04)

[47] Ryu, Y.*, Berry, J.A., Baldocchi, D.D. (2019) What is global photosynthesis? History, uncertainties and opportunities. Remote Sensing of Environment 223, 95-114. [HTML]  [PDF] (2019.03)

[46] Kim, J., Ryu, Y.*, Jiang, C., Hwang, Y. (2019) Continuous observation of vegetation canopy dynamics using an integrated low-cost, near-surface remote sensing system. Agricultural and Forest Meteorology 264, 164-177. [HTML]  [PDF] (2019.01)


[45] Luo, X., Keenan, T.F., Fisher, J.B., Jiménez-Muñoz, J.-C., Chen, J.M., Jiang, C., Ju, W., Perakalapudi, N.-V., Ryu, Y., Tadić, J.M. (2018) The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing. Philosophical Transactions of the Royal Society B: Biological Sciences 373 [HTML]  [PDF] (2018.10)

[44] Yang, K., Ryu, Y.*, Dechant, B., Berry, J.A., Hwang, Y., Jiang, C., Kang, M., Kim, J., Kimm, H., Kornfeld, A., & Yang, X. (2018). Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy. Remote Sensing of Environment, 216, 658-673 [HTML]  [PDF] (2018.10)

[43] Yang, X., Shi, H., Stovall, A., Guan, K., Miao, G., Zhang, Y., Zhang, Y., Xiao, X., Ryu, Y., Lee, J.-E. (2018) FluoSpec 2—An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence. Sensors 18, 2063. [HTML]  [PDF] (2018.06)

[42] Huang, Y., Ryu, Y.*, Jiang, C., Kimm, H., Kim, S., Kang, M., & Shim, K. (2018). BESS-Rice: A remote sensing derived and biophysical process-based rice productivity simulation model. Agricultural and Forest Meteorology, 256–257, 253-269 [HTML]  [PDF] (2018.06)

[41] Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Sonnentag, O., Humphreys, E., Hufkens, K., Ryu, Y., Verfaillie, J., Morra di Cella, U., & Richardson, A.D. (2018). NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types. Agricultural and Forest Meteorology, 249, 275-285 [HTML] [PDF] (2018.02)

[40] Ryu, Y.*, Jiang, C., Kobayashi, H., & Detto, M. (2018). MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000. Remote Sensing of Environment, 204, 812-825 [HTML]  [PDF] (2018.01)


[39] Bae, J., & Ryu, Y.* (2017). Spatial and temporal variations in soil respiration among different land cover types under wet and dry years in an urban park. Landscape and Urban Planning, 167, 378–385 [HTML] [PDF] (2017.11)

[38] Whitley, R., Beringer, J., Hutley, L.B., Abramowitz, G., De Kauwe, M.G., Evans, B., Haverd, V., Li, L., Moore, C., Ryu, Y., Scheiter, S., Schymanski, S.J., Smith, B., Wang, Y.P., Williams, M., & Yu, Q. (2017). Challenges and opportunities in land surface modelling of savanna ecosystems. Biogeosciences, 14, 4711-4732 [HTML] [PDF] (2017.10)

[37] Jiang, C., Ryu, Y.*, Fang, H., Myneni, R., Claverie, M., & Zhu, Z. (2017). Inconsistencies of interannual variability and trends in long-term satellite leaf area index products. Global Change Biology, 23, 4133-4146 [HTML] [PDF] (2017.10)

[36] Vargas, R., Alcaraz-Segura, D., Birdsey, R., Brunsell, N.A., Cruz-Gaistardo, C.O., de Jong, B., Etchevers, J., Guevara, M., Hayes, D.J., Johnson, K., Loescher, H.W., Paz, F., Ryu, Y., Sanchez-Mejia, Z., & Toledo-Gutierrez, K.P. (2017). Enhancing interoperability to facilitate implementation of REDD+: case study of Mexico. Carbon Management, 8, 57-65 [HTML] [PDF] (2017.02)

[35] Akuraju, V.R., Ryu, D., George, B., Ryu, Y., Dassanayake, K. (2017) Seasonal and inter-annual variability of soil moisture stress function in dryland wheat field, Australia. Agricultural and Forest Meteorology 232, 489-499 [HTML] [PDF] (2017.01)


[34] Jiang, C., Ryu, Y.* (2016) Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS). Remote Sensing of Environment 186, 528-547 [HTML] [PDF] (2016.12)

[33] Baldocchi, D., Ryu, Y., Keenan, T. (2016) Terrestrial Carbon Cycle Variability F1000Research, 5(F1000 Faculty Rev):2371. [HTML] [PDF] (2016.09)

[32] Verma, M., Fisher, J., Mallick, K., Ryu, Y., Kobayashi, H., Guillaume, A., Moore, G., Ramakrishnan, L., Hendrix, V., Wolf, S., Sikka, M., Kiely, G., Wohlfahrt, G., Gielen, B., Roupsard, O., Toscano, P., Arain, A., Cescatti, A. (2016) Global Surface Net-Radiation at 5 km from MODIS Terra. Remote Sensing 8, 739 [HTML] [PDF] (2016.09)

[31] Whitley, R., Beringer, J., Hutley, L.B., Abramowitz, G., De Kauwe, M.G., Duursma, R., Evans, B., Haverd, V., Li, L., Ryu, Y., Smith, B., Wang, Y.P., Williams, M., Yu, Q. (2016) A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas. Biogeosciences 13, 3245-3265 [HTML] [PDF]  (2016.06)

[30] Hwang, Y., Ryu, Y.*, Kimm, H., Jiang, C., Lang, M., Macfarlane, C., Sonnentag, O. (2016) Correction for light scattering combined with sub-pixel classification improves estimation of gap fraction from digital cover photography. Agricultural and Forest Meteorology 222, 32-44 [HTML[PDF] (2016.05)

[29] Pisek, J., Chen, J.M., Kobayashi, H., Rautiainen, M., Schaepman, M.E., Karnieli, A., Sprinstin, M., Ryu, Y., Nikopensius, M., Raabe, K. (2016) Retrieval of seasonal dynamics of forest understory reflectance from semiarid to boreal forests using MODIS BRDF data. Journal of Geophysical Research: Biogeosciences 121, 855-863. [HTML[PDF] (2016.03)

[28] He, L., Liu, J., Chen, J.M., Croft, H., Wang, R., Sprintsin, M., Zheng, T., Ryu, Y., Pisek, J., Gonsamo, A., Deng, F., & Zhang, Y. (2016). Inter- and intra-annual variations of clumping index derived from the MODIS BRDF product. International Journal of Applied Earth Observation and Geoinformation, 44, 53-60 [HTML[PDF] (2016.02)

[27] Lee, S., Ryu, Y.*, Jiang, C. (2015) Urban heat mitigation by roof surface materials during the East Asian summer monsoon. Environmental Research Letters 10, 124012  [HTML[PDF] (2015.12)

[26] Kimm, H., Ryu, Y.* (2015) Seasonal variations in photosynthetic parameters and leaf area index in an urban park. Urban Forestry & Urban Greening 14, 1059-1067  [HTML[PDF] (2015.12)

[25] Song, Y., & Ryu, Y.* (2015). Seasonal changes in vertical canopy structure in a temperate broadleaved forest in Korea. Ecological Research, 30, 821-831 [HTML[PDF] (2015. 9)

[24] Ke, Y., Im, J., Lee, J., Gong, H., & Ryu, Y. (2015). Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations. Remote Sensing of Environment, 164: 298-313 [HTML[PDF] (2015. 7)

[23] Kim, S., & Ryu, Y. (2015). Describing the spatial patterns of heat vulnerability from urban design perspectives. International Journal of Sustainable Development & World Ecology, 22(3): 189-200 [HTML[PDF] (2015. 3)

[22] Bae, J., & Ryu, Y.* (2015). Land use and land cover changes explain spatial and temporal variations of the soil organic carbon stocks in a constructed urban park. Landscape and Urban Planning, 136, 57-67 [HTML[PDF] (2015. 4)

[21] Song, Y., Ryu, Y.*, & Jeon, S. (2014). Interannual variability of regional evapotranspiration under precipitation extremes: A case study of the Youngsan River basin in Korea. Journal of Hydrology, 519, 3531-3540 [HTML[PDF] (2014. 11)

[20] Macfarlane, C., Ryu, Y., Ogden, G.N., & Sonnentag, O. (2014). Digital camera photography: exposed and in the raw. Agricultural and Forest Meteorology, 197, 244-253 [HTML[PDF] (2014. 10)

[19] Ryu, Y.*, Lee, G., Jeon, S., Song, Y., & Kimm, H. (2014). Monitoring multi-layer canopy spring phenology of temperate deciduous and evergreen forests using low-cost spectral sensors. Remote Sensing of Environment, 149, 227-238 [HTML[PDF] (2014. 6)

[18] Hendrix, V., Ramakrishnan, L., Ryu, Y., van Ingen, C., Jackson, K.R., & Agarwal, D. (2014). CAMP: Community Access MODIS Pipeline. Future Generation Computer Systems, 36, 418-429  [HTML[PDF] (2014. 7)

[17] Pisek, J., Ryu, Y., Sprintsin, M., He, L., Oliphant, A.J., Korhonen, L., Kuusk, J., Kuusk, A., Bergstrom, R., Verrelst, J., & Alikas, K. (2013). Retrieving vegetation clumping index from Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m resolution. Remote Sensing of Environment, 138, 126-133 [HTML[PDF] (2013. 11)

[16] Kobayashi, H., Ryu, Y.*, Baldocchi, D.D., Welles, J.M., & Norman, J.M. (2013). On the correct estimation of gap fraction: how to remove scattered radiation in the gap fraction measurements? Agricultural and Forest Meteorology, 174-175: 170-183 [HTML[PDF] (2013. 6)

[15] Richardson, A.D., Keenan, T.F., Migliavacca, M., Ryu, Y., Sonnentag, O., & Toomey, M. (2013). Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agricultural and Forest Meteorology, 169: 156-173  [HTML[PDF] (2013. 2)


[14] Ryu, Y.*, Verfaillie, J., Macfarlane, C., Kobayashi, H., Sonnentag, O., Vargas, R., Ma, S., & Baldocchi, D.D. (2012). Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras. Remote Sensing of Environment, 126, 116-125 [HTML[PDF] (2012. 11)

[13] Keenan,T.F., Baker, I., Barr, A., Ciais, P., Davis, K., Dietze, M., Dragoni, D., Gough, C.M., Grant, R., Hollinger, D., Hufkens, K., Poulter, B., McCaughey, H., Rackza, B., Ryu, Y., Schaefer, K., Tian, H., Verbeeck, H., Zhao, M. & Richardson, A. (2012) Terrestrial biosphere model performance for inter-annual variability of land-atmosphere CO2 exchange. Global Change Biology 18(6): 1971–1987 [HTML[PDF] (2012. 6)

[12] Ryu, Y.*, Baldocchi, D.D., Black, T.A., Detto, M., Law, B.E.,Leuning, R., Miyata, A., Reichstein, M., Vargas, R., Ammann, C., Beringer, J., Flanagan, L.B., Gu, L., Hutley, L.B., Kim, J., McCaughey, H., Moors, E.J., Rambal, S. & Vesala, T. (2012) On the temporal upscaling of evapotranspiration from instantaneous remote sensing measurements to 8-day mean daily-sums. Agricultural and Forest Meteorology, 152, 212-222. [HTML[PDF] (2012. 1)

[11] Kobayashi, H., Baldocchi, D.D., Ryu, Y., Chen, Q., Ma, S., Osuna, J.L. & Ustin, S.L. (2012) Modeling energy and carbon fluxes in a heterogeneous oak woodland: A three-dimensional approach. Agricultural and Forest Meteorology, 152, 83-100. [HTML[PDF] (2012. 1)

[10] Ryu Y*, Baldocchi DD, Kobayashi H, van Ingen C, LiJ, Black TA, Beringer J, van Gorsel E, Knohl A, Law BE & Roupsard O (2011) Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales. Global Biogeochemical Cycles, 25, GB4017, doi:10.1029/2011GB004053 [HTML[PDF] (2011. 12)

[9] Pisek, J., Ryu, Y. and Alikas, K., 2011. Estimating leaf inclination and G-function from leveled digital camera photography in broadleaf canopies. Trees – Structure and Function, 25: 919-924 [HTML[PDF] (2011. 10)

[8] Agarwal, D., Cheah, Y.-W., Fay, D., Fay, J., Guo, D., Hey, T., Humphrey, M., Jackson, K., Lie, J., Poulain, C., Ryu, Y. and van Ingen, C., 2011. Data-Intensive Science: The Terapixel and MODISAzure Projects. International Journal of High Performance Computing Applications, 25(3): 304-316 [HTML] [PDF] (2011. 8)

[7] Sonnentag, O., Detto, M., Vargas, R., Ryu, Y., Runkle, B.R., Kelly, N.M. and Baldocchi, D.D., 2011. Tracking the structural and functional development of a perennial pepperweed (Lepidium latifolium L.) infestation using a multi-year archive of webcam imagery and eddy covariance measurements. Agricultural and Forest Meteorology, 151(7), 916-926 [HTML[PDF] (2011. 7)

[6] Ryu, Y.*,Baldocchi, D.D., Verfaillie, J., Ma, S., Falk, M., Ruiz-Mercado, Il, Hehn, T., Sonnentag, O. (2010). Testing the performance of a novel spectral reflectance sensor, built with light emitting diodes (LEDs), to monitor ecosystem metabolism, structure and function. Agricultural and Forest Meteorology. 150, 1597-1606 [HTML]  [PDF] (2010. 12)

[5] Ryu, Y.*, Nilson, T.,Kobayashi, H., Sonnentag, O., Law, B.E., & Baldocchi, D.D. 2010. On the correct estimation of effective leaf area index: does it reveal information on clumping effects? Agricultural and Forest Meteorology, 150, 463-472 [HTML[PDF] (2010. 3)

[4] Ryu, Y.*, Sonnentag, O., Nilson,T., Vargas, R., Kobayashi, H., Wenk, R., & Baldocchi, D.D. 2010. How to quantify tree leaf area index in an open savanna ecosystem: A multi-instrument and multi-model approach. Agricultural and Forest Meteorology, 150, 63-76 [HTML]  [PDF] (2010. 1)

[3] Ryu, Y.*, Kim, S., and Lee, D. 2009. The influence of wind flows on thermal comfort in the Daechung of a traditional Korean house. Building and Environment, 44, 18-26 [HTML]  [PDF] (2009. 1)

[2] Ryu, Y., Kang, S., Moon, S.K.,& Kim, J. 2008. Evaluation of land surface radiation balance derived from Moderate Resolution Imaging Spectrometer (MODIS) over complex terrain and heterogeneous landscape on clear sky days. Agricultural and Forest Meteorology, 148, 1538-1552 [HTML[PDF] (2008. 9)

[1] Ryu, Y.*, Baldocchi, D., Ma, S., and Hehn, T. 2008. Interannual variability of evapotranspiration and energy exchanges over an annual grassland in California. Journal of Geophysical Research-Atmospheres 113(D09104): doi:10.1029/2007JD009263  [HTML[PDF] (2008. 5)


2. Peer-reviewed journal articles (Korean journals)

[1] Moon, S., Ryu, Y., Lee, D., Kim, J, Lim, J.H. 2007. Quantifying the spatial heterogeneity of the land surface parameters at the two contrasting KoFlux sites by semivariogram. Korean Journal of Agricultural and Forest Meteorology 9(2): 140-148


3. Peer-reviewed conference articles (computer science)

[3] Humphrey, M., Hill, Z., van Ingen, C., Jackson, K., Ryu, Y. 2011. Assessing the Value of Cloudbursting: A Case Study of Satellite Image Processing on Windows Azure. In IEEE e-Science 2011 Conference. Stockholm, Sweden. [PDF]

[2] Li, J., Humphrey, M., Cheah, Y.-W., Ryu, Y., Agarwal, D., Jackson, K. and van Ingen, C., 2010. Fault Tolerance and Scaling in e-Science Cloud Applications: Observations from the Continuing Development of MODISAzure, IEEE e-Science 2010 Conference, Brisbane, Australia.[PDF]

[1] Li, J., Humphrey, M., Agarwal, D., Jackson, K., van Ingen, C. and Ryu, Y., 2010. eScience in the cloud: A MODIS satellite data reprojection and reduction pipeline in the Windows Azure platform, Parallel & Distributed Processing (IPDPS), 2010 IEEE International Symposium on, pp. 1-10.[PDF]


4. Thesis

Kong, J. 2019. Inter-comparison of image fusion products against in-situ spectral measurements over heterogeneous rice paddy landscape. Master Thesis. Seoul National University

Bae, J. 2019. Land use and land cover changes explain spatial and temporal variations of the soil organic carbon stocks in a constructed urban park. Master Thesis. Seoul National University

Yang, K. 2018. Sun-induced chlorophyll fluorescence is more strongly related to absorbed photosynthetically active radiation than gross primary productivity in a rice paddy. Master Thesis. Seoul National University

Kim, S. 2018. Does spatial resolution influence the detection and attribution of extreme reduction in gross primary productivity? Master Thesis. Seoul National University

Lee, J. 2018. Relative Contribution of different Climate drivers and Plant Functional Types to Growing Season Gross Primary Productivity Interannual variation in Alaska. Master Thesis. Seoul National University

Kim, J. 2017. Continuous observation of vegetation indices, leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (fPAR) using an integrated low-cost near surface sensing system. Master Thesis. Seoul National University

Hwang, Y. 2016. Correction for light scattering combined with sub-pixel classification improves estimation of gap fraction from digital cover photography. Master Thesis. Seoul National University

Lee, S. 2016. Urban heat mitigation by roof surface materials during the East Asian summer monsoon. Master Thesis. Seoul National University

Jeong, J. 2016. Trees growing through impervious surfaces use shallower water sources: A stable isotope study. Master Thesis. Seoul National University

Kimm, H. 2015. Modeling carbon and energy fluxes in a heterogeneous urban park. Master Thesis. Seoul National University

Ryu, Y. 2010. Near-surface remote sensing of canopy architecture and land-atmosphere interactions in an oak savanna ecosystem. PhD Dissertation. UC Berkeley [PDF]

Ryu, Y. 2005. Horizontal wind flows over Daechung as affected by spatial differentiation of thermal and turbulent environments within a traditional Korean dwelling. Master Thesis. Seoul National University.

5. Books

[4] Baldocchi, D.D. and Ryu, Y., 2011. A Synthesis of Forest Evaporation Fluxes from Days to Years as Measured with Eddy Covariance In: D.F. Levia, D.E. Carlyle-Moses and T. Tanaka (Editors), Forest Hydrology and Biogeochemistry: Synthesis of Past Research and Future Directions. Springer-Verlag, Heidelberg, Germany. [PDF]

[3] Baldocchi, D.D. Chen, Q., Chen, X., Ma, S., Miller, G., Ryu, Y., Xiao, J., Wenk, R. and Battles, J. 2010 The Dynamics of Energy, Water and Carbon Fluxes in a Blue Oak (Quercus douglasii) Savanna in California, USA, In: Ecosystem Function in Global Savannas: Measurement and Modeling at Landscape to Global Scales – edited by Michael J. Hill and Niall P. Hanan andpublished by CRC/Taylor and Francis.[PDF]

[2] Ryu, Y. and Lee, D. 2008. Ecological implications of thermal and turbulent environments within a traditional Korean home, in Korean Traditional Ecology II (D. Lee Ed.), Science Books, Seoul

[1] Ryu, Y. 2006. History and perspectives for landscape architecture planning, in L·A· n·D (D. Kim, K. Cho, Y. Lee, Y. Kim, and J. Pae Eds.), Landscape Architecture, Paju: 326-339.

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