Peer-reviewed (26)

2021 (7)

Chen, A., Mao, J., Ricciuto, D., Lu, D., Xiao, J., Li, X., Thornton, P. E., Knapp, A. K. (2021). Seasonal changes in GPP/SIF ratios and their climatic determinants across the Northern Hemisphere. Global Change Biology.

Ren, P., Liu, Z., Zhou, X., Peng, C., Xiao, J., Wang, S., Li, X., Li, P. Strong controls of daily minimum temperature on the autumn photosynthetic phenology of subtropical vegetation in China. Forest Ecosystems, 2021, 8, 1-12.

Li, X., Fu, Y.H., Chen, S., Xiao, J., Yin, G., Li, X., Zhang, X., Geng, X., Wu, Z., Zhou, X., Tang, J., Hao, F. Increasing importance of precipitation in spring phenology with decreasing latitudes in subtropical forest area in China. Agricultural and Forest Meteorology, 2021, 304-305, 108427.

Li, X., Xiao, J., Fisher, J.B., Baldocchi, D. ECOSTRESS estimates gross primary production at different times of day from the International Space Station. Remote Sensing of Environment, 2021, 258, 112360

Hao, D., Asrar, G. R., Zeng, Y., Yang, X., Li, X., Xiao, J., Guan, K., Wen, J., Xiao, Q., Berry, J.A., Chen, M. Potential of hotspot solar-induced chlorophyll fluorescence for better tracking terrestrial photosynthesis. Global Change Biology, 2021, 27, 2144-2158

Chang, Y., Xiao, J., Li, X., Frolking, S., Zhou, D., Schneider, A., Weng, Q., Yu, P., Wang, X., Li, X., Liu, S., Wu, Y. Exploring diurnal cycles of surface urban heat island intensity in Boston with land surface temperature data derived from GOES-R geostationary satellites. Science of the Total Environment, 2020: 144224.

Chen, A., Mao, J., Ricciuto D., Xiao, J., Frankenberg, C., Li, X., Thornton, P., Gu, L., Knapp, A. Moisture availability mediates the relationship between terrestrial gross primary production and solar-induced fluorescence: Insights from global scale variations. Global Change Biology, 2021, 00:1–13

2020 (3)

Li, X., Xiao, J., Kimball, J. S., Reichle, R. H., Scott, R. L., Litvak, M. E., Bohrer, Gil, Frankenberg, C. Synergistic use of SMAP and OCO-2 data in assessing the responses of ecosystem productivity to the 2018 US drought. Remote Sensing of Environment, 2020, 251, 112062.

Maes, W.H., Pagán, B.R., Martens, B., Gentine, P., Guanter, L., Steppe, K., Verhoest, N.E., Dorigo, W., Li, X., & Xiao, J. Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models. Remote Sensing of Environment, 2020, 249, 112030

Li, X., Xiao, J. Global climatic controls on interannual variability of ecosystem productivity: Similarities and differences inferred from solar-induced chlorophyll fluorescence and enhanced vegetation index. Agricultural and Forest Meteorology. 2020, 288-289, 108018.

2019 (3)

Li, X., Xiao, J. Mapping photosynthesis solely from solar-induced chlorophyll fluorescence: A global, fine-resolution dataset of gross primary production derived from OCO-2. Remote Sensing, 2019, 11(21): 2563.

Li, X., Xiao, J. A global, 0.05-degree product of solar-induced chlorophyll fluorescence derived from OCO-2, MODIS, and reanalysis data. Remote Sensing, 2019, 11(5): 517. (ESI Highly Cited Paper)

Xiao, J., Li, X., He, B. et al. Solar-induced chlorophyll fluorescence exhibits a universal relationship with gross primary productivity across a wide variety of biomes. Global Change Biology, 2019, 25(4): E4-E6 (Response to the Editor).

2018 (3)

Li, X., Xiao, J., He, B. et al. Solar-induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO-2 and flux tower observations. Global Change Biology. 2018, 24(9), 3990-4008. (ESI Highly Cited Paper; Highlighted by Nature Climate Change on June 29, 2018; One of the 25 most cited papers in GCB in 2020)

Li, X., Xiao, J., He, B. Chlorophyll fluorescence observed by OCO-2 is strongly related to gross primary productivity estimated from flux towers in temperate forests. Remote Sensing of Environment, 2018, 204: 659-671. (ESI Highly Cited Paper)

Li, X., Xiao, J., He, B. Higher absorbed solar radiation partly offset the negative effects of water stress on the photosynthesis of Amazon forests during the 2015 drought. Environmental Research Letters. 2018, 13(4), 044005.

2017 (3)

Bai, X., He, B., Li, X., et al. First assessment of Sentinel-1A data for surface soil moisture estimations using a coupled Water Cloud Model and Advanced Integral Equation Model over the Tibetan Plateau. Remote sensing, 2017, 9(7): 714.

Quan, X., He B., Yebra, M., Yin, C., Liao, Z., Li, X. Retrieval of forest fuel moisture content using a coupled radiative transfer model. Environmental modelling & software, 2017, 95, 290-302.

Quan, X., He B., Yebra, M., Yin, C., Liao, Z., Zhang, X., Li, X. A radiative transfer model-based method for the estimation of grassland aboveground biomass. International journal of applied earth observation and geoinformation, 2017, 54, 159-168.

2016 (1)

Quan, X., He B., Li, X., et al. Retrieval of grassland live fuel moisture content by parameterizing radiative transfer model with interval estimated LAI. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(2): 910-920.

He, B., Xing, M., Quan, X. Remote sensing quantitative inversion and application system of grassland ecological environment factors. 2016 (In Chinese. I Participated in the writing of this monograph)

2015 (5)

Li, X., He, B., Quan, X., et al. Use of the standardized precipitation evapotranspiration index (SPEI) to characterize the drying trend in southwest China from 1982–2012. Remote Sensing, 2015, 7(8): 10917-10937.

He, B, Li, X., Quan, X., et al. Estimating the aboveground dry biomass of grass by assimilation of retrieved LAI into a crop growth model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(2): 550-561.

Quan, X., He, B., Li, X. A Bayesian network-based method to alleviate the ill-posed inverse problem: A case study on leaf area index and canopy water content retrieval. IEEE Transactions on Geoscience and Remote Sensing, 2015: 53(12): 6507-6517.

Quan, X., He, B., Li, X., et al. Estimation of grassland live fuel moisture content from ratio of canopy water content and foliage dry biomass. IEEE Geoscience and Remote Sensing Letters, 2015, 12(9): 1903-1907.

He, B., Liao, Z., Quan, X., Li, X., Hu, J. A global Grassland Drought Index (GDI) product: Algorithm and validation. Remote Sensing, 2015, 7(10), 12704-12736.

2014 (1)

Quan, X., He, B., Wang, Y., Tang, Z., Li, X. An extended Fourier approach to improve the retrieved leaf area index (LAI) in a time series from an alpine wetland. Remote Sensing, 2014, 6(2), 1171-1190.