(Ma et al. 2023; Zou et al. 2023; Jia et al. 2023; Jia et al. 2023; Zhang et al. 2023; Jiang et al. 2023; Huang et al. 2023; Xu et al. 2023; Li et al. 2023; Xu et al. 2023; Zhan et al. 2023; Bai et al. 2023; Wang et al. 2023; Li et al. 2023; Xu et al. 2023; Liu et al. 2023; Zhang et al. 2023; Xu et al. 2023; Yin et al. 2023; Veryard et al. 2023; Xiong et al. 2023)
Papers
published in 2023
1) Ma, Y., T. He, S. Liang, et al., (2023). Estimation of fine spatial resolution all-sky surface net shortwave radiation over mountainous terrain from Landsat 8 and Sentinel-2 data. Remote Sensing of Environment, 285, 113364
2) Zou, L., F. Tian, T. Liang, L. Eklundh, X. Tong, T. Tagesson, R. Fensholt, Y. Dou, T. He, S. Liang, (2023). Assessing the upper elevational limits of vegetation growth in global high-mountains. Remote Sensing of Environment, 286, 113423
3) Jia, A., Wang, D., Liang, S., Peng, J., & Yu, Y. (2023). Improved cloudy-sky snow albedo estimates using passive microwave and VIIRS data. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 340-355.
4) Jia, A., S. Liang, et al., (2023). Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data. Earth System Science Data, 15(2), 869-895.
5) Zhang Y, Liu J, Li W, Liang S. (2023), A Proposed Ensemble Feature Selection Method for Estimating Forest Aboveground Biomass from Multiple Satellite Data. Remote Sensing, 15(4), 1096. https://doi.org/10.3390/rs15041096
6) Jiang, B., Han, J., Liang, H., Liang, S., Yin, X., Peng, J., He, T., & Ma, Y. (2023). The Hi-GLASS all-wave daily net radiation product: Algorithm and product validation. Science of Remote Sensing, 7, 100080
7) Huang , H.,J. Huang , Y. Wu , W. Zhuo , J. Song , X. Li , L. Li , W. Su , H. Ma , S. Liang, (2023). The improved winter wheat yield estimation by assimilating GLASS LAI into a crop growth model with the proposed Bayesian posterior-based ensemble Kalman filter. IEEE Transactions on Geosciences and Remote Sensing, doi: 10.1109/TGRS.2023.3259742
8) Xu, J., Liang, S., Ma, H., He, T., Zhang, Y., & Zhang, G. (2023). A daily 5-km all-sky sea-surface longwave radiation product based on statistically modified deep neural network and spatiotemporal analysis for 1981-2018. Remote Sensing of Environment, 290, 113550
9) Li, Y., & Liang, S. (2023). Evaluation of reflectance and canopy scattering coefficient based vegetation indices to reduce the impacts of canopy structure and soil in estimating leaf and canopy chlorophyll contents. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2023.3266500
10) Xu, S., D. Wang, S. Liang, et al., (2023). Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias. International Journal of Applied Earth Observation and Geoinformation,120, 103347
11) Zhan, C., S. Liang (2023). Generation of global 1-km daily top-of-atmosphere outgoing longwave radiation product from 2000 to 2021 using machine learning. International Journal of Digital Earth.
12) Bai, Y., S. Liang, A. Jia, S. Li, (2023). Different Satellite Products Revealing Variable Trends in Global Gross Primary Production. Journal of Geophysical Research-Biogeosciences, e2022JG006918
13) Wang, Y., Xie, X., Zhao, X., Liang, S., Zhu, B., Tursun, A., Jiang, F., Liu, Y., & Zhang, X. (2023). Four-decade response of land surface temperature to urban expansion in Beijing. Agricultural and Forest Meteorology, 341, 109653
14) Li, R., D. Wang, S. Liang, (2023). Comparison between deep learning architectures for the 1km, 10/15-min estimation of downward shortwave radiation from AHI and ABI data. Remote Sensing of Environment, 295, 113697
15) Xu, J., Liang, S., He, T., Ma, H., Zhang, Y., Zhang, G., & Liang, H. (2023). Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products. International Journal of Digital Earth, 16, 2912-2940
16) Liu, X., He, T., Liang, S., Li, R., Xiao, X., Ma, R., & Ma, Y. (2023). A monthly 1° resolution dataset of daytime cloud fraction over the Arctic during 2000-2020 based on multiple satellite products. Earth Syst. Sci. Data, 15, 3641-3671
17) Zhang, X. T. He, S. Liang, Z. Zhao (2023). A framework for estimating actual evapotranspiration through spatial heterogeneity-based machine learning approaches. Agricultural Water Management, 28(1), 108499
18) Xu, S. D. Wang, S. Liang, Y. Liu and A. Jia, (2023). Assessing the reliability of the MODIS LST product to detect temporal variability. IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2023.3312384.
19) Yin, X., Jiang, B., Liang, S., et al. (2023). Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products. International Journal of Digital Earth, 16, 3726-3753
20) Veryard, R., Wu, J., O'Brien, M.J., Anthony, R., Both, S., Burslem, D.F., Chen, B., Fernandez-Miranda Cagigal, E., Godfray, H.C.J., Godoong, E., Liang, S., Sander, P., Schmid, B., Wei, Y., Xie, J., (2023). Positive effects of tree diversity on tropical forest restoration in a field-scale experiment. Sci. Adv. 9, eadf0938
21) Xiong, C., Ma, H., Liang, S., He, T., Zhang, Y., Zhang, G., & Xu, J. (2023). Improved global 250 m 8-day NDVI and EVI products from 2000-2021 using the LSTM model. Scientific Data, 10, 800