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  • A phenology-based spectral and temporal feature selection method for crop mapping from satellite time series

    Hu, Q., Sulla-Menashe, D., Xu, B., Yin, H., Tang, H., Yang, P. & Wu, W.

    International Journal of Applied Earth Observation and Geoinformation, 2019, 80:218-229.

    DOI:10.1016/j.jag.2019.04.014
  • Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

    Cai, Y., Guan, K., Lobell, D., Andries, P., Wang, S., Peng, J., Xu, T., Asseng, S., Zhang, Y., You, L. & Peng, B.

    Agricultural and Forest Meteorology, 2019, 274, 144-159.

    DOI:10.1016/j.agrformet.2019.03.010
  • Design and rating of risk- contingent credit for balancing business and financial risks for Kenyan farmers

    Shee, A., Turvey, C. G. & You, L.

    Applied Economics, 2019, 51(50), 5447-5465.

    DOI: 10.1080/00036846.2019.1613502
  • Rice production and climate change in Northeast China: evidence of adaptation through land use shifts

    Hu, Y., Fan, L., Liu, Z., Yu, Q., Liang, S., Chen, S., You, L., Wu, W. & Peng, Y.

    Environmental Research Letters, 2019, 14, 024014.

    DOI:10.1088/1748-9326/aafa5
  • China and India lead in greening of the world through land-use management

    Chen, C., Park, T., Wang, X., Piao, S., Xu, B., Chaturvedi, R. K., Fuchs, R., Brovkin, V., Ciais, P., Fensholt, R., Tømmervik, H., Bala, G., Zhu, Z., Nemani, R. R. & Myneni, R. B.

    Nature Sustainability, Volume 2, 122–129.

    DOI:10.1038/s41893-019-0220-7
  • A comparison of global agricultural monitoring systems and current gaps

    Fritz, S., See, L., Bayas, J. C. L., Waldner, F., Jacques, D., Becker-Reshef, I., Whitcraft, A., Baruth, B., Bonifacio, R., Crutchfield, J., Rembold, F., Rojas, O., Schucknecht, A., Van der Velde, M., Verdin, J., Wu, B., Yan, N., You, L., Gilliams, S., Mücher, S., Tetrault, R., Moorthy, I. & McCallum, I.

    Agricultural Systems, 2019, 168, 258-272.

    DOI:10.1016/j.agsy.2018.05.010
  • Remoteness, urbanization, and child nutrition in sub-Saharan Africa. Agricultural Economics

    Headey, D., Stifel, D., You, L. & Guo, Z.

    Agricultural Economics, 2018, 49, 765-775.

    DOI:10.1111/agec.12458
  • Implications of Whole-Disc DSCOVR EPIC Spectral Observations for Estimating Earth's Spectral Reflectivity Based on Low-Earth-Orbiting and Geostationary Observations

    Wanjuan Song, Yuri Knyazikhin, Guoyong Wen, Alexander M​arshak, Matti Mõttus, Kai Yan, Bin Yang, Baodong Xu, Taejin Park, Chi Chen, Yelu Zeng, Guangjian Yan, Xihan Mu, & B. Ranga Myneni

    Remote Sensing, 10, 1594-1616.

    DOI:10.3390/rs10101594
  • Representation of decision-making in European agricultural agent-based models

    Robert H​uber, Martha Bakker, Alfons Balmann, Thomas Berger, Mike Bithell, Calum Brown, Adr-ienne Grêt-Regamey, Hang Xiong et.al

    Agricultural Systems,Volume 167, 2018, Pages 143-160, ISSN 0308-521X.

    DOI:10.1016/j.agsy.2018.09.007
  • Rapeseed Seedling Stand Counting and Seeding Performance Evaluation at Two Early Growth Stages Based on Unmanned Aerial Vehicle Imagery

    Zhao, B., Zhang, J., Yang, C., Zhou, G., Ding, Y., Shi, Y., Zhang, D., Xie, J. & Liao, Q.

    Front. Plant Sci, 2018, 9:1362.

    DOI:10.3389/fpls.2018.01362