| Department of Geographical Sciences

Qian, Y., Song, K., Hu, T., & Ying, T. (2018). Environmental status of livestock and poultry sectors in China under current transformation stage. Science of The Total Environment, 622, 702-709.

Read more about Qian, Y., Song, K., Hu, T., & Ying, T. (2018). Environmental status of livestock and poultry sectors in China under current transformation stage. Science of The Total Environment, 622, 702-709.

Su, Y., Song, K., Zhang, P., Su, Y., Cheng, J., & Chen, X. (2017). Progress of microalgae biofuel’s commercialization. Renewable and Sustainable Energy Reviews, 74, 402-411.

Read more about Su, Y., Song, K., Zhang, P., Su, Y., Cheng, J., & Chen, X. (2017). Progress of microalgae biofuel’s commercialization. Renewable and Sustainable Energy Reviews, 74, 402-411.

Wang, C., Cao, R., Chen, J., Rao, Y., & Tang, Y. (2015). Temperature sensitivity of spring vegetation phenology correlates to within-spring warming speed over the Northern Hemisphere. Ecological Indicators, 50, 62-68.

Read more about Wang, C., Cao, R., Chen, J., Rao, Y., & Tang, Y. (2015). Temperature sensitivity of spring vegetation phenology correlates to within-spring warming speed over the Northern Hemisphere. Ecological Indicators, 50, 62-68.

Rao, Y., Zhu, X., Chen, J., & Wang, J. (2015). An improved method for producing high spatial-resolution NDVI time series datasets with multi-temporal MODIS NDVI data and Landsat TM/ETM+ images. Remote Sensing, 7(6), 7865-7891.

Read more about Rao, Y., Zhu, X., Chen, J., & Wang, J. (2015). An improved method for producing high spatial-resolution NDVI time series datasets with multi-temporal MODIS NDVI data and Landsat TM/ETM+ images. Remote Sensing, 7(6), 7865-7891.

Li, J., Rao, Y., Sun, Q., Wu, X., Jin, J., Bi, Y., ... & Ma, J. (2015). Identification of climate factors related to human infection with avian influenza A H7N9 and H5N1 viruses in China. Scientific reports, 5, 18094.

Read more about Li, J., Rao, Y., Sun, Q., Wu, X., Jin, J., Bi, Y., ... & Ma, J. (2015). Identification of climate factors related to human infection with avian influenza A H7N9 and H5N1 viruses in China. Scientific reports, 5, 18094.

Chen, J., Rao, Y., Shen, M., Wang, C., Zhou, Y., Ma, L., ... & Yang, X. (2016). A simple method for detecting phenological change from time series of vegetation index. IEEE Transactions on Geoscience and Remote Sensing, 54(6), 3436-3449.

Read more about Chen, J., Rao, Y., Shen, M., Wang, C., Zhou, Y., Ma, L., ... & Yang, X. (2016). A simple method for detecting phenological change from time series of vegetation index. IEEE Transactions on Geoscience and Remote Sensing, 54(6), 3436-3449.

Lu, M., Chen, J., Tang, H., Rao, Y., Yang, P., & Wu, W. (2016). Land cover change detection by integrating object-based data blending model of Landsat and MODIS. Remote Sensing of Environment, 184, 374-386.

Read more about Lu, M., Chen, J., Tang, H., Rao, Y., Yang, P., & Wu, W. (2016). Land cover change detection by integrating object-based data blending model of Landsat and MODIS. Remote Sensing of Environment, 184, 374-386.

Li, Y., Chen, J., & Rao, Y. (2018). A practical sampling method for assessing accuracy of detected land cover/land use change: Theoretical analysis and simulation experiments. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 379-389.

Read more about Li, Y., Chen, J., & Rao, Y. (2018). A practical sampling method for assessing accuracy of detected land cover/land use change: Theoretical analysis and simulation experiments. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 379-389.

Donal O’Leary III,Dorothy Hall,Michael Medler, et al. Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps[J]. Front. Earth Sci., 03 August 2018. [Epub ahead of print]

Read more about Donal O’Leary III,Dorothy Hall,Michael Medler, et al. Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps[J]. Front. Earth Sci., 03 August 2018. [Epub ahead of print]

Marselis, S.M.; Tang, H.; Armston, J.D.; Calders, K.; Labriere, N.; Dubayah, R. (2018) Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon. Rem. Sen. Env. 216

Read more about Marselis, S.M.; Tang, H.; Armston, J.D.; Calders, K.; Labriere, N.; Dubayah, R. (2018) Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon. Rem. Sen. Env. 216