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  • Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification

    Zhao, X., Zhang, J., Yang, C., Song, H., Shi, Y., Zhou, X., Zhang, D. & Zhang, G.

    Remote Sensing, 2018, 10(5), 663.

    DOI:10.3390/rs10050663
  • An integrated method for validating long-term leaf area index products using global networks of site-based measurements

    Xu, B., Li, J., Park, T., Liu, Q., Zeng, Y., Yin, G., Zhao, J., Fan, W., Yang, L., Knyazikhin, Y. & Myneni, R. B.

    Remote Sensing of Environment, 2018, 209, 134-151.

    DOI:10.1016/j.rse.2018.02.049
  • An integrated method for validating long-term leaf area index products using global networks of site-based measurements

    Baodong Xu, Jing​ Li, Taejin Park, Qinhuo Liu, Yelu Zeng, Gaofei Yin, Jing Zhao, Weiliang Fan, Le Yang, Yuri Knyazikhin, & Ranga B. Myneni

    Remote Sensing of Environment, 209, 134-151.

    DOI:10.1016/j.rse.2018.02.049
  • Research on the Chlorophyll Content (SPAD) Distribution Based on the Consumer-Grade Modified Near-Infrared Camera

    Zhang, J., Meng, J., Zhao, B., Zhang, D. & Xie, J.

    Spectroscopy and Spectral Analysis, 2018, 38(3):737-744.

    DOI: 10.3964/j.issn.1000-0593(2018)03-0737-08
  • Generating Global Products of LAI and FPAR from SNPP-VIIRS Data: Theoretical Background and Implementation

    Yan, K., Park, T., Chen, C., Xu, B., Song, W., Yang, B., Zeng, Y., Liu, Z., Yan, G., Knyazikhin, Y. & Myneni, R. B.

    IEEE Transaction on Geoscience and Remote Sensing, 2018, 56, 2119-2137.

    DOI:10.1109/TGRS.2017.2775247
  • Generating Global Products of LAI and FPAR from SNPP-VIIRS Data: Theoretical Background and Implementation

    Kai Yan, Taejin Park, Chi Chen, Baodong Xu, Wanjuan Song, Bin Yang, Yelu Zeng, Zhao Liu, Guangjian Yan, Yuri Knyazikhin, Ranga B. Myneni

    IEEE Transaction on Geoscience and Remote Sensing, 56, 2119-2137.

    DOI:10.1109/TGRS.2017.2775247
  • Analysis of global LAI/FPAR products from VIIRS and MODIS sensors for spatio-temporal consistency and uncertainty over 2012-2016

    Xu, B., Park, T., Yan, K., Chen, C., Song, W., Zeng, Y., Yin, G., Li, J., Liu, Q., Knyazikhin, Y. & Myneni, R. B.

    Forests, 2018, 9(2):73.

    DOI: 10.3390/f9020073
  • Analysis of global LAI/FPAR products from VIIRS and MODIS sensors for spatio-temporal consistency and uncertainty over 2012-2016

    Baodong Xu, Taejin Park, Kai Yan, Chi Chen, Wanjuan Song, Yelu Zeng, Gaofei Yin, Jing Li, Qinhuo Liu, Yuri Knyazikhin, Ranga B. Myneni

    Forests, 9(2): 73.

    DOI:10.3390/f9020073
  • Comparison of partial least square regression, support vector machine and deep learning techniques for estimating soil salinity from Landsat data

    Zeng, W., Zhang, D., Fang, Y., Wu, J. & Huang, J.

    Journal of Applied Remote Sensing, 2018, 12(1).

    DOI:10.1117/1.JRS.12.022204
  • Comparison of partial least square regression, support vector machine and deep learning techniques for estimating soil salinity from Landsat data

    Wenzhi Zeng, Dongying Zhang, Yuanhao Fang, Jingwei Wu and Jiesheng Huang

    Journal of Applied Remote Sensing, 2018, 12(1)

    DOI:10.1117/1.JRS.12.022204