Collaborated with scholars from Mainland China, Australia, Switzerland, USA, and Singapore, Dr Xiaolin ZHU, member of RILS, and his former PhD student Dr Jiaqi TIAN have recently published a comprehensive review article on remote sensing of land surface phenology in Global Change Biology, a top journal in the field of Ecology (IF: 13.211). In this article, Dr ZHU and Dr TIAN present their research outcomes in the past few years. These studies mainly focus on the uncertainties in remote sensing of land surface phenology, which investigated the impact of spatial resolution, viewing-solar angle, temporal resolution, and noises in the time series on the vegetation phenology detection. The studies have also provided new insights on ecological studies based on satellite data.
Please click here for more details of the publication.
Other related publications:
Tian, J., Zhu, X., Chen, J., Wang, C., Shen, M., Yang, W., Tan, X., Xu, S., Li, Z., Improving the accuracy of spring phenology detection by optimally smoothing satellite vegetation index time series based on local cloud frequency. ISPRS Journal of Photogrammetry and Remote Sensing. 2021, 180, 29-44.
Tian, J., Zhu, X., Wan, L., Collin, M. Impacts of Satellite Revisit Frequency on Spring Phenology Monitoring of Deciduous Broad-Leaved Forests Based on Vegetation Index Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021, 14, 10500-10508.
Tian, J., Zhu, X., Shen, Z., Wu, J., Xu, S., Liang, Z., Wang, J. Investigating the urban-induced microclimate effects on winter wheat spring phenology using Sentinel-2 time series, Agricultural and Forest Meteorology. 2020, 294, 108153.
Tian, J., Zhu, X., Wu, J., Shen, M., Chen, J. Coarse-Resolution Satellite Images Overestimate Urbanization Effects on Vegetation Spring Phenology. Remote Sensing. 2020, 12, 117.
| Research Units | Research Institute for Land and Space |
|---|
