近期论文
查看导师新发文章
(温馨提示:请注意重名现象,建议点开原文通过作者单位确认)
Gan, L., Cao, X.*, Chen, X., He, Q., Cui, X., Zhao, C. (2022) Mapping Shrub Coverage in Xilin Gol Grassland with Multi-Temporal Sentinel-2 Imagery. Remote Sensing. 2022, 14, 3266. https://doi.org/10.3390/rs14143266
Zhao, C., Cao, X.*, Chen, X., Cui, X. (2022) A consistent and corrected nighttime light dataset (CCNL 1992–2013) from DMSP-OLS data. Scientific Data 9, 424. https://doi.org/10.1038/s41597-022-01540-x
Li, S., Cui, X.*, Guo, L., Zhang, L., Chen, X., Cao, X. 2022. Enhanced Automatic Root Recognition and Localization in GPR Images Through a YOLOv4-Based Deep Learning Approach. IEEE Transactions on Geoscience and Remote Sensing 60, Art no. 5114314. https://doi: 10.1109/TGRS.2022.3181202..(一区/TOP)
Li Q., Shen M.*, Chen X., Wang C., Chen J., Cao X., Cui X. (2021). Optimal Color Composition Method for Generating High-Quality Daily Photographic Time Series from PhenoCam. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2021.3087814.
Liu X., Guo L.*, Cui X., Butnor J.R., Boyer E.W., Yang D., Chen J., and Fan B. (2021). An Automatic Processing Framework for In Situ Determination of Ecohydrological Root Water Content by Ground-Penetrating Radar. IEEE Transactions on Geoscience and Remote Sensing, 59(99):1-15.(一区/TOP)
Cui X., Quan Z., Chen X., Zhang Z., Zhou J., Liu X., Chen J., Cao X., and Guo L.* (2021). GPR-Based Automatic Identification of Root Zones of Influence Using HDBSCAN. Remote Sensing, 13(6).
Cui X., Zhang Z., Guo L.*, Liu X., Quan Z., Cao X., and Chen X. (2021). The Root-Soil Water Relationship Is Spatially Anisotropic in Shrub-Encroached Grassland in North China: Evidence from GPR Investigation. Remote Sensing, 13(6), 1137.
Hu Y., Chen J., Cao X.*, Chen X., Cui X., and Gan L. (2021). Correcting the Saturation Effect in DMSP/OLS Stable Nighttime Light Products Based on Radiance-Calibrated Data. IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3060170.(一区/TOP)
Zhou J., Chen J., Chen X.*, Zhu X., Qiu, Y., Song, H., Rao, Y., Zhang C., Cao X., Cui X. (2021). Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction. Remote Sensing of Environment . 252, 112130. doi.org: 10.1016/j.rse.2020.112130.(一区/TOP)
Zang, Y., Chen, X.*, Chen, J., Tian, Y., Shi, Y., Cao, X., Cui, X. Remote Sensing Index for Mapping Canola Flowers Using MODIS Data. Remote Sensing. 2020, 12, 3912.
Gan, L., Cao, X.*, Chen, X., Dong, Q., Cui, X., Chen, J. (2020). Comparison of MODIS-based vegetation indices and methods for winter wheat green-up date detection in Huanghuai Region of China. Agricultural and Forest Meteorology, https://doi.org/10.1016/j.agrformet.2020.108019.(一区/TOP)
Dong, Q.; Chen, X.*; Chen, J.; Zhang, C.; Liu, L.; Cao, X.; Zang, Y.; Zhu, X.; Cui, X. (2020). Mapping Winter Wheat in North China Using Sentinel 2A/B Data: A Method Based on Phenology-Time Weighted Dynamic Time Warping. Remote Sensing, 12, 1274.
张璐云,王帅,肖风劲,王文晴,陈晋,崔喜红*. (2020). 中国黄淮海冬麦区关键生育期——干热风关联特征及时空变化分析. 中国农业信息, 32(5): 11-26.
张璐云,王帅,王文晴,陈晋,崔喜红*. (2020). 倒春寒与北方冬小麦生育期时空关联特征分析. 中国农业资源与区划,41(10): 79-88.
Cui, X., Liu, X., Cao, X., Fan, B., Zhang, Z., Chen, J., ... & Guo, L.* Pairing dual‐frequency GPR in summer and winter enhances the detection and mapping of coarse roots in the semi‐arid shrubland in China. European Journal of Soil Science. in press
Chen, X., Guo, Z., Chen, J.*, Yang, W., Yao, Y., Zhang, C., Cui, X., & Cao, X. (2019). Replacing the Red Band with the Red-SWIR Band (0.74ρred+0.26ρswir) Can Reduce the Sensitivity of Vegetation Indices to Soil Background. Remote Sensing, 11, 851.
Liu, X., Cui, X.*, Guo, L., Chen, J., Li, W., Yang, D., ... & Lin, H. (2019). Non-invasive estimation of root zone soil moisture from coarse root reflections in ground-penetrating radar images. Plant and Soil, 1-17. (一区/TOP)
Liu, X., Chen, J., Cui, X.*, Liu, Q., Cao, X., & Chen, X. (2019). Measurement of soil water content using ground-penetrating radar: a review of current methods. International Journal of Digital Earth, 12(1), 95-118.
Guo, Z., Yang, D., Chen, J.*, & Cui, X. (2018). A new index for mapping the ‘blue steel tile’roof dominated industrial zone from Landsat imagery. Remote Sensing Letters, 9(6), 578-586.
Cao, X., Liu, Y.*, Liu, Q., Cui, X., Chen, X., & Chen, J. (2018). Estimating the age and population structure of encroaching shrubs in arid/semiarid grasslands using high spatial resolution remote sensing imagery. Remote Sensing of Environment, 216, 572-585.(一区/TOP)
Chen, S., Chen, X., Chen, X.*, Chen, J., Cao, X., Shen, M., ... & Cui, X. (2018). A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery. Remote Sensing, 10(7), 1040.
Cao, X.*, Liu, Y., Cui, X., Chen, J., & Chen, X. (2018). Mechanisms, monitoring and modeling of shrub encroachment into grassland: a review. International Journal of Digital Earth, 1-17.
Liu, Q., Cui, X.*, Liu, X., Chen, J., Chen, X., & Cao, X. (2018). Detection of root orientation using ground-penetrating radar. IEEE Transactions on Geoscience and Remote Sensing, 56(1), 93-104.(一区/TOP)
Li, W., Cui, X.*, Guo, L., Chen, J., Chen, X., & Cao, X. (2016). Tree root automatic recognition in ground penetrating radar profiles based on randomized Hough transform. Remote Sensing, 8(5), 430.
Guo, L., Wu, Y., Chen, J.*, Hirano, Y., Tanikawa, T., Li, W., & Cui, X. (2015). Calibrating the impact of root orientation on root quantification using ground-penetrating radar. Plant and Soil, 395(1-2), 289-305.(一区/TOP)
Wu, Y., Guo, L., Cui, X.*, Chen, J., Cao, X., & Lin, H. (2014). Ground-penetrating radar-based automatic reconstruction of three-dimensional coarse root system architecture. Plant and Soil, 383(1-2), 155-172.(一区/TOP)
Guo, L., Lin, H., Fan, B., Cui, X., & Chen, J.* (2013). Forward simulation of root’s ground penetrating radar signal: simulator development and validation. Plant and Soil, 372(1-2), 487-505.(一区/TOP)
Guo, L., Lin, H., Fan, B., Cui, X., & Chen, J.* (2013). Impact of root water content on root biomass estimation using ground penetrating radar: evidence from forward simulations and field controlled experiments. Plant and Soil, 371(1-2), 503-520.(一区/TOP)
Guo, L., Chen, J.*, Cui, X., Fan, B., & Lin, H. (2013). Application of ground penetrating radar for coarse root detection and quantification: a review. Plant and Soil, 362(1-2), 1-23.(一区/TOP)