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Publications from Scopus
Publications from ResearcherID

1. Peer-reviewed journal articles (International Journals)

(lab members are in bold, *corresponding author)

-In review-

Dechant, B., Ryu, Y.*, Kang, M. (2019) Making full use of hyperspectral observations for gross primary productivity estimation with multivariate regression: Mechanistic insights from observations and process-based modeling. Remote Sensing of Environment Submitted

Jiang, C.*, Ryu, Y.*, Keenan, T.F., Wang, H. (2019) Spatiotemporal variations of global maximum photosynthetic carboxylation rate. Submitted.

Bae, J., Ryu, Y*. (2019) High soil organic carbon stocks under impervious surfaces contributed by urban deep cultural layers.  Submitted

Yuan, W., Zhang, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu, Y., Chen, G., Dong, W., Hu, Z., Jain, A., Jiang, C., Kato, E., Li, S., Lienert, S., Liu, S., Nabel, J., Qin, Z., Quine, T., Sitch, S., Smith, W., Wang, F., Wu, C., Xiao, Z., Yang, S. (2018) Increased atmospheric vapor pressure deficit reduces global vegetation growth. Submitted.

Zhao, K., Ryu, Y., Hu, T., Garcia, M., Li, Y. (2018) How to better estimate leaf area index and leaf angle distribution from digital hemispherical photography? Switching to a maximum likelihood paradigm. Methods in Ecology and Evolution In review.

Mahan, H., Basara, J., Ryu, Y., Jiang, C., Zhou, Y., Bajgain, R., Wagle, P., Gowda, P., & Xiao, X. (2018). A Verification of the Breathing Earth System Simulator (BESS) Evapotranspiration Product over the Southern Great Plains of the United States. Agricultural and Forest Meteorology, In review

-In revision-

Jiang, C.*, Guan, K.*, Pan, M., Ryu, Y., Peng, B., Wang, S. (2019) A new framework to estimate daily, 30-meter, and all-weather evapotranspiration using multi-source satellite data for the U.S. Corn Belt. Remote Sensing of Environment In revision.

Zeng, Y., Badgley, G., Dechant, B., Ryu, Y., Chen, M., Berry, J.A. (2019) A practical approach for estimating the escape ratio of solar-induced chlorophyll fluorescence. Remote Sensing of Environment In revision

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 In review.

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., Baldocchi, D., Mammarella, I., Aurela, M., Bohrer, G., Campbell, D., Cescatti, A., Chamberlain, S., Chen, J., Dengel, S., Desai, A.R., Euskirchen, E., Friborg, T., Goeckede, M., Heimann, M., Helbig, M., Kang, M., Klatt, J., Kraus, 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., Runkle, B.R.K., Ryu, Y., Sachs, T., Schäfer, K.V.R., Shurpali, N., Sonnentag, O., Tang, A.C.I., Vesala, T., Ward, E.J., Windham-Myers, L., Zona, D. (2019) FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions. Bulletin of the American Meteorological Society. In revision

Forzieri, G., Miralles, D.G., Ciais, P., Alkama, R., Ryu, Y., Duveiller, G., 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., Cescatti, A. (2019) Increasing global control of plant leaves on terrestrial energy fluxes. Nature Climate Change In revision.




[48] Baldocchi, D.D., Dralle, D., Jiang, C., & Ryu, Y. (2019). How Much Water is Evaporated Across California?: A Multi-Year Assessment Using a Biophysical Model Forced with Satellite Remote Sensing Data. Water Resources Research [HTML]

[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

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.