Journal articles

• Shi H., Xiao Z. (2025), Accelerating Fluspect With an Analytical Algorithm in Simulating Mesophyll Fluorescence Matrices. IEEE Geosci. Remote Sens. Lett. 22, 2500605. https://doi.org/10.1109/LGRS.2025.3529029
• Yang X., Shi H., Xiao Z. (2024), Mapping Leaf Mass Per Area and Equivalent Water Thickness from PRISMA and EnMAP, Remote Sens. 16, 4064. https://doi.org/10.3390/rs16214064
• Shi H. (2024), Exploring vegetation chlorophyll fluorescence with leaf dorsiventrality. Remote Sens. Environ. 313, 114342. https://doi.org/10.1016/j.rse.2024.114342
• Zheng Y., Xiao Z., Shi H., Song J. (2024), Exploring the Effects of Topography on Leaf Area Index Retrieved from Remote Sensing Data at Various Spatial Scales over Rugged Terrains. Remote Sens. 16, 1404. https://doi.org/10.3390/rs16081404
• Shi H., Jacquemoud S., Jiang J., Zhou M., Fabre S., Richardson A.D., Wang S., Jiang X., Xiao Z. (2024), The PROLIB leaf radiative transfer model: Simulation of the dorsiventrality of leaves from visible to mid-wave infrared. Remote Sens. Environ. 306, 114140. https://doi.org/10.1016/j.rse.2024.114140
• Li J., Zhan X., Xiao Z., Shi H., Jiang J. (2023), Simultaneous Estimation of LAI, PAR, FAPAR and Surface Albedo at Multiple Spatial Scales from Top-of-Atmosphere Satellite Observations with Different Spatial Resolution. IEEE Trans. Geosci. Remote Sens., 61, 4408321. https://doi.org/10.1109/TGRS.2023.3311539
• Wu D., Liu S., Wu X., Xu T., Xu Z., He X., Shi H. (2023), Evaluation of the intrinsic temperature sensitivity of ecosystem respiration in typical ecosystems of an endorheic river basin. Agric. For. Meteorol. 333, 109393. https://doi.org/10.1016/j.agrformet.2023.109393
• Shi H., Jiang J., Jacquemoud S., Xiao Z., Ma M. (2023), Estimating leaf mass per area with leaf radiative transfer model. Remote Sens. Environ. 286, 113444. https://doi.org/10.1016/j.rse.2022.113444
• Shi H., Xiao Z. (2022), A Canopy Radiative Transfer Model Considering Leaf Dorsoventrality. IEEE Trans. Geosci. Remote Sens. 60, 2002711. https://doi.org/10.1109/TGRS.2021.3119315
• Shi H., Xiao Z. (2022), SIFT: Modeling Solar-induced Chlorophyll Fluorescence Over Sloping Terrain. IEEE Geosci. Remote Sens. Lett. 19, 3002405. https://doi.org/10.1109/LGRS.2021.3067879
• Shi H., Xiao Z. (2022), Exploring Topographic Effects on Surface Parameters Over Rugged Terrains at Various Spatial Scales. IEEE Trans. Geosci. Remote Sens. 60, 4404616. https://doi.org/10.1109/TGRS.2021.3098607
• Shi H., Xiao Z., Wen J., Wu S. (2022), An Optical-Thermal Surface-Atmosphere Radiative Transfer Model Coupling Framework With Topographic Effects. IEEE Trans. Geosci. Remote Sens. 60, 4400312. https://doi.org/10.1109/TGRS.2020.3044061
• Shi H., Xiao Z., Wang Q., Wu D. (2021), Multiparameter Estimation From Landsat Observations With Topographic Consideration. IEEE Trans. Geosci. Remote Sens. 59, 7353–7369. https://doi.org/10.1109/TGRS.2021.3057377
• Shi H., Xiao Z. (2021), The 4SAILT Model: An Improved 4SAIL Canopy Radiative Transfer Model for Sloping Terrain. IEEE Trans. Geosci. Remote Sens. 59, 5515–5525. https://doi.org/10.1109/TGRS.2020.3022874
• Wu D., Liu S., Wu X., Yang X., Xu T., Xu Z., Shi H. (2021), Diagnosing the temperature sensitivity of ecosystem respiration in northern high-latitude regions. J. Geophys. Res.-Biogeosci. 126, e2020JG005998. https://doi.org/10.1029/2020JG005998
• Ma H., Liang S., Shi H., Zhang Y. (2021), An Optimization Approach for Estimating Multiple Land Surface and Atmospheric Variables From the Geostationary Advanced Himawari Imager Top-of-Atmosphere Observations. IEEE Trans. Geosci. Remote Sens. 59, 2888–2908. https://doi.org/10.1109/TGRS.2020.3007118
• Xiong H., Shi H., Xiao Z. (2020), Consistent retrieval of multiple parameters from GOES-R top of atmosphere reflectance data. Int. J. Remote Sens. 41, 7931–7957. https://doi.org/10.1080/01431161.2020.1766151
• Helm L.T., Shi H., Lerdau M.T., Yang X. (2020), Solar-induced chlorophyll fluorescence and short-term photosynthetic response to drought. Ecol. Appl. 30, e02101. https://doi.org/10.1002/eap.2101
• Shi H., Xiao Z., Tian X. (2019), Exploration of machine learning techniques in emulating a coupled soil-canopy-atmosphere radiative transfer model for multi-parameter estimation from satellite observations. IEEE Trans. Geosci. Remote Sens. 57, 8522–8533. https://doi.org/10.1109/TGRS.2019.2921392
• Shi H., Xiao Z., Zhan X., Ma H., Tian X. (2019), Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites. Atmos. Res. 220, 75–80. https://doi.org/10.1016/j.atmosres.2019.01.009
• Zhan X., Xiao Z., Jiang J., Shi H. (2019), A Data Assimilation Method for Simultaneously Estimating the Multiscale Leaf Area Index From Time-Series Multi-Resolution Satellite Observations. IEEE Trans. Geosci. Remote Sens. 57, 9344–9361. https://doi.org/10.1109/TGRS.2019.2926392
• 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. https://doi.org/10.3390/s18072063
• Shi H., Xiao Z., Liang S., Ma H. (2017), A Method for Consistent Estimation of Multiple Land Surface Parameters From MODIS Top-of-Atmosphere Time Series Data. IEEE Trans. Geosci. Remote Sens. 55, 5158–5173. https://doi.org/10.1109/TGRS.2017.2702609
• Ma H., Liang S., Xiao Z., Shi H. (2017), Simultaneous inversion of multiple land surface parameters from MODIS optical–thermal observations. ISPRS-J. Photogramm. Remote Sens. 128, 240–254. https://doi.org/10.1016/j.isprsjprs.2017.04.007
• Shi H., Xiao Z., Liang S., Zhang X. (2016), Consistent estimation of multiple parameters from MODIS top of atmosphere reflectance data using a coupled soil-canopy-atmosphere radiative transfer model. Remote Sens. Environ. 184, 40–57. https://doi.org/10.1016/j.rse.2016.06.008
• Dong Y., Jiao Z., Zhang H., Li J., Jiao G., Shi H. (2014), Efficient algorithm for improving the hotspot effect of the operational MODIS BRDF product. J. Remote. Sens. 18, 804–825. https://doi.org/10.11834/jrs.20143229

Book chapters

• Xiao Z., Shi H., Liang S. (2017), Retrieval of leaf area index and fraction of absorbed photosynthetically active radiation, in Global Land and Ocean Surface Remote Sensing Products Generation and Application, Liang, S., Zhang, J., Chen, L., Zhao, X., Yang. J., Ed. Beijing: Science Press. (in Chinese)

Conference papers / abstracts

• Shi H. and Xiao Z. (2021), Topographic Effects on Solar-induced Chlorophyll Fluorescence, in: AGU Fall Meeting Abstracts. AGU, New Orleans, LA, USA
• Wu D., Liu S., Xu Z., Yang X., Wu X., Xu T., Shi H. (2020), Diagnosing temperature sensitivity of respiration at multiple spatial scale in the northern high-latitude regions, in: EGU General Assembly 2020, Vienna, Austria. https://doi.org/10.5194/egusphere-egu2020-7396
• Shi H., Xiao Z. (2019), Updates of the 6S radiative transfer model: a case study of 6S+PROSAIL, in: IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, pp. 2879–2882. https://doi.org/10.1109/IGARSS.2019.8899146
• Xiong H., Xiao Z., Shi H. (2019), A method for multi-parameter consistent estimation from GOES-R top of atmosphere reflectance data, in: IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, pp. 7809–7812. https://doi.org/10.1109/IGARSS.2019.8899147
• Liu N., Xiao Z., Shi H., Zhan X. (2019), A method for estimating leaf area index from Landsat data based on DART model and Gaussian process, in: IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, pp. 6550–6553. https://doi.org/10.1109/IGARSS.2019.8900564
• Jablonski A., Yang X., Shi H., Lerdau M. (2018), Characterizing the multi-angular response of solar-induced fluorescence (SIF) using an unmanned aerial vehicle (UAV), in: AGU Fall Meeting Abstracts. AGU, Washington, D.C.
• Stovall A.E., Yang X., Nardacci R., Shi H., Shugart, H.H. (2018), Seasonal structure-function interactions: fusing solar induced fluorescence and terrestrial LiDAR for holistic ecosystem measurement, in: AGU Fall Meeting Abstracts. AGU, Washington, D.C.
• Liang S., Xiao Z., Shi H., Ma H. (2017), A data assimilation approach for simultaneously estimating a suite of land surface variables from satellite data, in: IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, Texas, USA, pp. 3973–3975. https://doi.org/10.1109/IGARSS.2017.8127870