Plant phenology and global climate change: Current progresses and challenges S Piao, Q Liu, A Chen, IA Janssens, Y Fu, J Dai, L Liu, XU Lian, M Shen, ... Global change biology 25 (6), 1922-1940, 2019 | 1222 | 2019 |
An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions X Zhu, J Chen, F Gao, X Chen, JG Masek Remote Sensing of Environment 114 (11), 2610-2623, 2010 | 1206 | 2010 |
A flexible spatiotemporal method for fusing satellite images with different resolutions X Zhu, EH Helmer, F Gao, D Liu, J Chen, MA Lefsky Remote Sensing of Environment 172, 165-177, 2016 | 594 | 2016 |
A simple and effective method for filling gaps in Landsat ETM+ SLC-off images J Chen, X Zhu, JE Vogelmann, F Gao, S Jin Remote sensing of environment 115 (4), 1053-1064, 2011 | 577 | 2011 |
Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau M Shen, Y Tang, J Chen, X Zhu, Y Zheng Agricultural and Forest Meteorology 151 (12), 1711-1722, 2011 | 411 | 2011 |
Spatiotemporal fusion of multisource remote sensing data: Literature survey, taxonomy, principles, applications, and future directions X Zhu, F Cai, J Tian, TKA Williams Remote Sensing 10 (4), 527, 2018 | 396 | 2018 |
Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series X Zhu, D Liu ISPRS Journal of Photogrammetry and Remote Sensing 102, 222-231, 2015 | 377 | 2015 |
Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats W Zhan, Y Chen, J Zhou, J Wang, W Liu, J Voogt, X Zhu, J Quan, J Li Remote Sensing of Environment 131, 119-139, 2013 | 349 | 2013 |
Fusing Landsat and MODIS data for vegetation monitoring F Gao, T Hilker, X Zhu, M Anderson, J Masek, P Wang, Y Yang IEEE Geoscience and Remote Sensing Magazine 3 (3), 47-60, 2015 | 279 | 2015 |
A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images X Zhu, D Liu, J Chen Remote sensing of Environment 124, 49-60, 2012 | 205 | 2012 |
A modified neighborhood similar pixel interpolator approach for removing thick clouds in Landsat images X Zhu, F Gao, D Liu, J Chen IEEE Geoscience and Remote Sensing Letters 9 (3), 521-525, 2011 | 170 | 2011 |
Accurate mapping of forest types using dense seasonal Landsat time-series X Zhu, D Liu ISPRS Journal of Photogrammetry and Remote Sensing 96, 1-11, 2014 | 157 | 2014 |
An improved method for producing high spatial-resolution NDVI time series datasets with multi-temporal MODIS NDVI data and Landsat TM/ETM+ images Y Rao, X Zhu, J Chen, J Wang Remote Sensing 7 (6), 7865-7891, 2015 | 136 | 2015 |
An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution normalized difference vegetation index time series M Liu, W Yang, X Zhu, J Chen, X Chen, L Yang, EH Helmer Remote sensing of environment 227, 74-89, 2019 | 133 | 2019 |
An automatic method for screening clouds and cloud shadows in optical satellite image time series in cloudy regions X Zhu, EH Helmer Remote sensing of environment 214, 135-153, 2018 | 129 | 2018 |
Automatic detection of individual oil palm trees from UAV images using HOG features and an SVM classifier Y Wang, X Zhu, B Wu International Journal of Remote Sensing 40 (19), 7356-7370, 2019 | 122 | 2019 |
Blending MODIS and Landsat images for urban flood mapping F Zhang, X Zhu, D Liu International journal of remote sensing 35 (9), 3237-3253, 2014 | 112 | 2014 |
An improved image fusion approach based on enhanced spatial and temporal the adaptive reflectance fusion model D Fu, B Chen, J Wang, X Zhu, T Hilker Remote sensing 5 (12), 6346-6360, 2013 | 109 | 2013 |
NDVI and vegetation phenology dynamics under the influence of sunshine duration on the Tibetan Plateau. H Wang, D Liu, H Lin, A Montenegro, X Zhu International Journal of Climatology 35 (5), 2015 | 108 | 2015 |
The effects of border control and quarantine measures on the spread of COVID-19 MP Hossain, A Junus, X Zhu, P Jia, TH Wen, D Pfeiffer, HY Yuan Epidemics 32, 100397, 2020 | 102 | 2020 |