| 姓 名：江冲亚 |
 |
| 职 称：教授 |
| 办公地址：生科楼A5011 |
| 办公电话：025-84399935 |
| 电子邮箱：chongya@njau.edu.cn |
| 研究方向：农业遥感应用、农业信息工程 |
个人简历：2014年于中国科学院地理科学与资源研究所获博士学位，2014–2017年在韩国首尔国立大学担任博士后研究员，2018–2023年在美国伊利诺伊大学厄巴纳-香槟分校先后担任博士后研究员、研究科学家和研究助理教授。2023年通过澳门十大电子游戏入口高层次人才引进回国。长期从事陆地生态系统遥感研究，在冠层结构、叶片性状、光合作用、蒸散发和土地利用的遥感监测方面做出贡献。共发表研究论文四十余篇，h指数为24，其中以第一或通讯作者在Global Change Biology、Remote Sensing of Environment、Earth System Science Data、Environmental Science & Technology等学科顶尖刊物上发表论文十余篇。获韩国和美国专利各一项，实现技术转移和成果转化四项。主持或共同主持美国国家航空航天局等项目五项，参与美国农业部、美国能源部和美国国家科学基金会等项目十余项。任美国伊利诺伊大学厄巴纳-香槟分校客座研究科学家、中国遥感应用协会生态环境遥感分会理事、江苏省农学会智慧农业分会常务理事。 |
发表论文：
Wu, G., Guan, K., Jiang, C., Kimm, H., Miao, G., Yang, X., Bernacchi, C.J., Sun, X., Suyker, A.E., Moore, C.E., 2023. Can upscaling ground nadir SIF to eddy covariance footprint improve the relationship between SIF and GPP in croplands? Agricultural and Forest Meteorology 338, 109532. https://doi.org/10.1016/j.agrformet.2023.109532
Zhang, J., Guan, K., Zhou, W., Jiang, C., Peng, B., Pan, M., Grant, R.F., Franz, T.E., Suyker, A., Yang, Y., Chen, X., Lin, K., Ma, Z., 2023. Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center-Pivot Irrigation Water Use at High Spatio-Temporal Resolution. Water Resources Research 59, e2022WR032967. https://doi.org/10.1029/2022WR032967
Zhou, Q., Wang, S., Liu, N., Townsend, P.A., Jiang, C., Peng, B., Verhoef, W., Guan, K., 2023. Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine learning emulators. ISPRS Journal of Photogrammetry and Remote Sensing 196, 386–401. https://doi.org/10.1016/j.isprsjprs.2022.11.016
Wang, S., Guan, K., Zhang, C., Jiang, C., Zhou, Q., Li, K., Qin, Z., Ainsworth, E. A., He, J., Wu, J., Schaefer, D., Gentry, L. E., Margenot, A. J., & Herzberger, L. (2023). Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning. Remote Sensing of Environment, 285, 113386. https://doi.org/10.1016/J.RSE.2022.113386
Wang, S., Guan, K., Zhang, C., Zhou, Q., Wang, S., Wu, X., Jiang, C., Peng, B., Mei, W., Li, K., Li, Z., Yang, Y., Zhou, W., Huang, Y., & Ma, Z. (2023). Cross-scale sensing of field-level crop residue cover: Integrating field photos, airborne hyperspectral imaging, and satellite data. Remote Sensing of Environment, 285, 113366. https://doi.org/10.1016/j.rse.2022.113366
Zhou, Q., Guan, K., Wang, S., Jiang, C., Huang, Y., Peng, B., Chen, Z., Wang, S., Hipple, J., Schaefer, D., Qin, Z., Stroebel, S., Coppess, J., Khanna, M., & Cai, Y. (2022). Recent rapid increase of cover crop adoption across the U.S. Midwest detected by fusing multi‐source satellite data. Geophysical Research Letters, 49(22), e2022GL100249. https://doi.org/10.1029/2022gl100249
Wu, G., Guan, K., Jiang, C., Kimm, H., Miao, G., Bernacchi, C. J., Moore, C. E., Ainsworth, E. A., Yang, X., Berry, J. A., Frankenberg, C., & Chen, M. (2022). Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus. Agricultural and Forest Meteorology, 323, 109046. https://doi.org/10.1016/j.agrformet.2022.109046
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. https://doi.org/10.1016/j.rse.2022.113104
Müller, J., Faybishenko, B., Agarwal, D., Bailey, S., Jiang, C., Ryu, Y., Tull, C., & Ramakrishnan, L. (2021). Assessing data change in scientific datasets. Concurrency and Computation: Practice and Experience, 33(16), e6245. https://doi.org/10.1002/cpe.6245
Wang, S., Guan, K., Wang, Z., Ainsworth, E. A., Zheng, T., Townsend, P. A., Liu, N., Nafziger, E., Masters, M. D., Li, K., Wu, G., & Jiang, C. (2021). Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling. International Journal of Applied Earth Observation and Geoinformation, 105, 102617. https://doi.org/10.1016/j.jag.2021.102617
Kimm, H., Guan, K., Jiang, C., Miao, G., Wu, G., Suyker, A. E., Ainsworth, E. A., Bernacchi, C. J., Montes, C. M., Berry, J. A., Yang, X., Frankenberg, C., Chen, M., & Köhler, P. (2021). A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt. Environmental Research Letters, 16(12), 124051. https://doi.org/10.1088/1748-9326/ac3b16
Li, K., Guan, K.*, Jiang, C.*, Wang, S., Peng, B., & Cai, Y. (2021). Evaluation of Four New Land Surface Temperature (LST) Products in the U.S. Corn Belt: ECOSTRESS, GOES-R, Landsat, and Sentinel-3. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 9931–9945. https://doi.org/10.1109/JSTARS.2021.3114613
Jiang, C.*; Guan, K.*; Khanna, M.*; Chen, L.; Peng, J. Assessing Marginal Land Availability Based on Land Use Change Information in the Contiguous United States. Environmental Science & Technology. 2021, 55 (15). https://doi.org/10.1021/acs.est.1c02236.
Zhang, J., Guan, K., Peng, B., Pan, M., Zhou, W., Jiang, C., Kimm, H., Franz, T. E., Grant, R. F., Yang, Y., Rudnick, D. R., Heeren, D. M., Suyker, A. E., Bauerle, W. L., & Miner, G. L. (2021). Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand. Nature Communications, 12(1), 1–10. https://doi.org/10.1038/s41467-021-25254-7
Khanna, M.; Chen, L.; Basso, B.; Cai, X.; Field, J.; Guan, K.; Jiang, C.; Lark, T.; Richard, T.; Spawn, S.; Yang, P.; Zipp, K. Redefining Marginal Lands for Bioenergy Crop Production. GCB Bioenergy. 2021, p12877. https://doi.org/10.1111/gcbb.12877.
Zhou, W., Guan, K., Peng, B., Tang, J., Jin, Z., Jiang, C., Grant, R. and Mezbahuddin, S. Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems, Agric. For. Meteorol. 2021, 307, 108521, doi:10.1016/J.AGRFORMET.2021.108521.
Zhang, J.; Guan, K.; Peng, B.; Jiang, C.; Zhou, W.; Yang, Y.; Pan, M.; Franz, T. E.; Heeren, D. M.; Rudnick, D. R.; Abimbola, O.; Kimm, H.; Caylor, K.; Good, S.; Khanna, M.; Gates, J.; Cai, Y. Challenges and Opportunities in Precision Irrigation Decision-Support Systems for Center Pivots. Environmental Research Letters. IOP Publishing May 1, 2021, p 53003. https://doi.org/10.1088/1748-9326/abe436.
Jiang, C.*; Guan, K.*; Wu, G.; Peng, B.; Wang, S. A Daily, 250 m, and Real-Time Gross Primary Productivity Product (2000–Present) Covering the Contiguous United States. Earth Syst. Sci. Data 2021, 13 (2), 281–298. https://doi.org/10.5194/essd-2020-36.
Wu, G.; Guan, K.; Li, Y.; Novick, K. A.; Feng, X.; McDowell, N. G.; Konings, A. G.; Thompson, S. E.; Kimball, J. S.; De Kauwe, M. G.; Ainsworth, E. A.; Jiang, C. Interannual Variability of Ecosystem Iso/Anisohydry Is Regulated by Environmental Dryness. New Phytol. 2021, 229 (5), 2562–2575. https://doi.org/10.1111/nph.17040.
Yang, Y.; Guan, K.; Peng, B.; Pan, M.; Jiang, C.; Franz, T. E. High-Resolution Spatially Explicit Land Surface Model Calibration Using Field-Scale Satellite-Based Daily Evapotranspiration Product. J. Hydrol. 2021, 596 (November 2020), 125730. https://doi.org/10.1016/j.jhydrol.2020.125730.
Wang, S.; Guan, K.; Wang, Z.; Ainsworth, E. A.; Zheng, T.; Townsend, P. A.; Li, K.; Moller, C.; Wu, G.; Jiang, C. Unique Contributions of Chlorophyll and Nitrogen to Predict Crop Photosynthetic Capacity from Leaf Spectroscopy. J. Exp. Bot. 2021, 72 (2), 341–354. https://doi.org/10.1093/jxb/eraa432.
Zhou, W.; Guan, K.; Peng, B.; Shi, J.; Jiang, C.; Wardlow, B.; Pan, M.; Kimball, J. S.; Franz, T. E.; Gentine, P.; He, M.; Zhang, J. Connections between the Hydrological Cycle and Crop Yield in the Rainfed U.S. Corn Belt. J. Hydrol. 2020, 590 (August), 125398. https://doi.org/10.1016/j.jhydrol.2020.125398.
Jiang, C.*, Ryu, Y.*, Wang, H., Keenan, T.F., 2020. An optimality-based model explains seasonal variation in C3 plant photosynthetic capacity. Glob. Chang. Biol. 26, 6493–6510. https://doi.org/10.1111/gcb.15276
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. Increased Control of Vegetation on Global Terrestrial Energy Fluxes. Nat. Clim. Chang. 2020, 10 (4), 356–362. https://doi.org/10.1038/s41558-020-0717-0.
Pei, Y.; Dong, J.; Zhang, Y.; Yang, J.; Zhang, Y.; Jiang, C.; Xiao, X. Performance of Four State-of-the-Art GPP Products (VPM, MOD17, BESS and PML) for Grasslands in Drought Years. Ecol. Inform. 2020, 56, 101052. https://doi.org/10.1016/j.ecoinf.2020.101052.
Jiang, C.*, Guan, K.*, Pan, M., Ryu, Y., Peng, B., Wang, S., 2020. BESS-STAIR: a framework to estimate daily, 30-meter, and all weather crop evapotranspiration using multi-source satellite data for the U.S. Corn Belt. Hydrol. Earth Syst. Sci. 24, 1251–1273. https://doi.org/10.5194/hess-2019-376
Wu, G., Guan, K.*, Jiang, C.*, Peng, B., Kimm, H., Chen, M., Yang, X., Wang, S., Suyker, A.E., Bernacchi, C.J., Moore, C.E., Zeng, Y., Berry, J.A., Cendrero-Mateo, M.P., 2020. Radiance-based NIRv as a proxy for GPP of corn and soybean. Environ. Res. Lett. 15, 034009. https://doi.org/10.1088/1748-9326/ab65cc
Kimm, H.; Guan, K.; Jiang, C.; Peng, B.; Gentry, L. F.; Wilkin, S. C.; Wang, S.; Cai, Y.; Bernacchi, C. J.; Peng, J.; Luo, Y. Deriving High-Spatiotemporal-Resolution Leaf Area Index for Agroecosystems in the U.S. Corn Belt Using Planet Labs CubeSat and STAIR Fusion Data. Remote Sens. Environ. 2020, 239, 111615. https://doi.org/10.1016/j.rse.2019.111615.
Wang, C.; Guan, K.; Peng, B.; Chen, M.; Jiang, C.; Zeng, Y.; Wu, G.; Wang, S.; Wu, J.; Yang, X.; Frankenberg, C.; Köhler, P.; Berry, J.; Bernacchi, C.; Zhu, K.; Alden, C.; Miao, G. Satellite Footprint Data from OCO-2 and TROPOMI Reveal Significant Spatio-Temporal and Inter-Vegetation Type Variabilities of Solar-Induced Fluorescence Yield in the U.S. Midwest. Remote Sens. Environ. 2020, 241 (February), 111728. https://doi.org/10.1016/j.rse.2020.111728.
Peng, B.; Guan, K.; Zhou, W.; Jiang, C.; Frankenberg, C.; Sun, Y.; He, L.; Köhler, P. Assessing the Benefit of Satellite-Based Solar-Induced Chlorophyll Fluorescence in Crop Yield Prediction. Int. J. Appl. Earth Obs. Geoinf. 2020, 90 (December 2019), 102126. https://doi.org/10.1016/j.jag.2020.102126.
Jiang, C.*, Fang, H., 2019. GSV: a general model for hyperspectral soil reflectance simulation. Int. J. Appl. Earth Obs. Geoinf. 83, 101932. https://doi.org/10.1016/j.jag.2019.101932
Wei, J.; Chen, Y.; Gu, Q.; Jiang, C.; Ma, M.; Song, L.; Tang, X. Potential of the Remotely-Derived Products in Monitoring Ecosystem Water Use Efficiency across Grasslands in Northern China. Int. J. Remote Sens. 2019, 40 (16), 6203–6223. https://doi.org/10.1080/01431161.2019.1587208.
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. Increased Atmospheric Vapor Pressure Deficit Reduces Global Vegetation Growth. Sci. Adv. 2019, 5 (8), eaax1396. https://doi.org/10.1126/sciadv.aax1396.
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(September 2018), 164–177. https://doi.org/10.1016/j.agrformet.2018.09.014
Baldocchi, D.; Dralle, D.; Jiang, C.; Ryu, Y. How Much Water Is Evaporated Across California?: A Multi-Year Assessment Using a Biophysical Model Forced with Satellite Remote Sensing Data. Water Resour. Res. 2019, 55 (4), 2722–2741. https://doi.org/10.1029/2018WR023884.
Yang, K.; Ryu, Y.; Dechant, B.; Berry, J. A.; Hwang, Y.; Jiang, C.; Kang, M.; Kim, J.; Kimm, H.; Kornfeld, A.; Yang, X. Sun-Induced Chlorophyll Fluorescence Is More Strongly Related to Absorbed Light than to Photosynthesis at Half-Hourly Resolution in a Rice Paddy. Remote Sens. Environ. 2018, 216 (June), 658–673. https://doi.org/10.1016/j.rse.2018.07.008.
Ryu, Y.; Jiang, C.; Kobayashi, H.; Detto, M. MODIS-Derived Global Land Products of Shortwave Radiation and Diffuse and Total Photosynthetically Active Radiation at 5 Km Resolution from 2000. Remote Sens. Environ. 2018, 204 (January 2018), 812–825. https://doi.org/10.1016/j.rse.2017.09.021.
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. The Impact of the 2015/2016 El Niño on Global Photosynthesis Using Satellite Remote Sensing. Philos. Trans. R. Soc. B Biol. Sci. 2018, 373 (1760), 20170409. https://doi.org/10.1098/rstb.2017.0409.
Huang, Y.; Ryu, Y.; Jiang, C.; Kimm, H.; Kim, S.; Kang, M.; Shim, K. BESS-Rice: A Remote Sensing Derived and Biophysical Process-Based Rice Productivity Simulation Model. Agric. For. Meteorol. 2018, 256–257 (March), 253–269. https://doi.org/10.1016/j.agrformet.2018.03.014.
Jiang, C.; Ryu, Y.; Fang, H.; Myneni, R.; Claverie, M.; Zhu, Z. Inconsistencies of Interannual Variability and Trends in Long-Term Satellite Leaf Area Index Products. Glob. Chang. Biol. 2017, 23 (10), 4133–4146. https://doi.org/10.1111/gcb.13787.
Jiang, C.; Ryu, Y. Multi-Scale Evaluation of Global Gross Primary Productivity and Evapotranspiration Products Derived from Breathing Earth System Simulator (BESS). Remote Sens. Environ. 2016, 186, 528–547. https://doi.org/10.1016/j.rse.2016.08.030.
Hwang, Y.; Ryu, Y.; Kimm, H.; Jiang, C.; Lang, M.; Macfarlane, C.; Sonnentag, O. Correction for Light Scattering Combined with Sub-Pixel Classification Improves Estimation of Gap Fraction from Digital Cover Photography. Agric. For. Meteorol. 2016, 222, 32–44. https://doi.org/10.1016/j.agrformet.2016.03.008.
Lee, S.; Ryu, Y.; Jiang, C. Urban Heat Mitigation by Roof Surface Materials during the East Asian Summer Monsoon. Environ. Res. Lett. 2015, 10 (12), 124012. https://doi.org/10.1088/1748-9326/10/12/124012.
Fang, H.; Li, W.; Wei, S.; Jiang, C. Seasonal Variation of Leaf Area Index (LAI) over Paddy Rice Fields in NE China: Intercomparison of Destructive Sampling, LAI-2200, Digital Hemispherical Photography (DHP), and AccuPAR Methods. Agric. For. Meteorol. 2014, 198–199, 126–141. https://doi.org/10.1016/j.agrformet.2014.08.005.
Fang, H.; Jiang, C.; Li, W.; Wei, S.; Baret, F.; Chen, J. M.; Garcia-Haro, J.; Liang, S.; Liu, R.; Myneni, R. B.; Pinty, B.; Xiao, Z.; Zhu, Z. Characterization and Intercomparison of Global Moderate Resolution Leaf Area Index (LAI) Products: Analysis of Climatologies and Theoretical Uncertainties. J. Geophys. Res. Biogeosciences 2013, 118 (2), 529–548. https://doi.org/10.1002/jgrg.20051.
Fang, H.; Wei, S.; Jiang, C.; Scipal, K. Theoretical Uncertainty Analysis of Global MODIS, CYCLOPES, and GLOBCARBON LAI Products Using a Triple Collocation Method. Remote Sens. Environ. 2012, 124, 610–621. https://doi.org/10.1016/j.rse.2012.06.013.
Jiang, C.; Fang, H.; Wei, S. Review of Land Surface Roughness Parameterization Study. Adv. Earth Sci. (In Chinese). 2012, 27 (3), 292–303.
Jiang, C.; Li, M.; Liu, Y. Full Automatic Method for Coastal Water Information Extraction from Remote Sensing Image. Acta Geod. Cartogr. Sin. (In Chinese). 2011, 40 (3), 332–340.
Jiang, C.; Li, M.; Li, F.; Li, X.; Liu, Y. Construction of Geographic Information System (GIS) Virtual Inter-Active Experiment Zone. Geomatics World. (In Chinese). 2010, No. 2, 84–89.
