| Exploration of scaling effects on coarse resolution land surface phenology X Zhang, J Wang, F Gao, Y Liu, C Schaaf, M Friedl, Y Yu, S Jayavelu, ... Remote Sensing of Environment 190, 318-330, 2017 | 181 | 2017 |
| 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 | 130 | 2015 |
| Generation and evaluation of the VIIRS land surface phenology product X Zhang, L Liu, Y Liu, S Jayavelu, J Wang, M Moon, GM Henebry, ... Remote Sensing of Environment 216, 212-229, 2018 | 124 | 2018 |
| Spatialization of electricity consumption of China using saturation-corrected DMSP-OLS data X Cao, J Wang, J Chen, F Shi International Journal of Applied Earth Observation and Geoinformation 28 …, 2014 | 107 | 2014 |
| Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series X Zhang, J Wang, GM Henebry, F Gao ISPRS Journal of Photogrammetry and Remote Sensing 161, 37-51, 2020 | 86 | 2020 |
| How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes? L Liu, R Cao, M Shen, J Chen, J Wang, X Zhang Remote Sensing 11 (18), 2137, 2019 | 39 | 2019 |
| Investigation of wildfire impacts on land surface phenology from MODIS time series in the western US forests J Wang, X Zhang ISPRS Journal of Photogrammetry and Remote Sensing 159, 281-295, 2020 | 35 | 2020 |
| Impacts of wildfires on interannual trends in land surface phenology: an investigation of the Hayman Fire J Wang, X Zhang Environmental Research Letters 12 (5), 054008, 2017 | 28 | 2017 |
| Land Cover Composition, Climate, and Topography Drive Land Surface Phenology in a Recently Burned Landscape: An Application of Machine Learning in Phenological Modeling J Wang, X Zhang, K Rodman Agricultural and Forest Meteorology 304, 108432, 2021 | 16 | 2021 |
| Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology Y Shen, X Zhang, W Wang, R Nemani, Y Ye, J Wang Remote Sensing 13 (21), 4465, 2021 | 16 | 2021 |
| A novel algorithm for the generation of gap-free time series by fusing harmonized Landsat 8 and Sentinel-2 observations with PhenoCam time series for detecting land surface … KH Tran, X Zhang, AR Ketchpaw, J Wang, Y Ye, Y Shen Remote Sensing of Environment 282, 113275, 2022 | 13 | 2022 |
| Exploring discrepancies between in situ phenology and remotely derived phenometrics at NEON sites A Donnelly, R Yu, K Jones, M Belitz, B Li, K Duffy, X Zhang, J Wang, ... Ecosphere 13 (1), e3912, 2022 | 13 | 2022 |
| Evaluating a spatiotemporal shape-matching model for the generation of synthetic high spatiotemporal resolution time series of multiple satellite data X Zhang, F Gao, J Wang, Y Ye International Journal of Applied Earth Observation and Geoinformation 104 …, 2021 | 13 | 2021 |
| Assessment of Multiple Scattering in the Reflectance of Semiarid Shrublands J Wang, X Cao, J Chen, X Jia Geoscience and Remote Sensing, IEEE Transactions on 53 (9), 4910 - 4921, 2015 | 12 | 2015 |
| An optimal method for validating satellite-derived land surface phenology using in-situ observations from national phenology networks Y Ye, X Zhang, Y Shen, J Wang, T Crimmins, H Scheifinger ISPRS Journal of Photogrammetry and Remote Sensing 194, 74-90, 2022 | 9 | 2022 |
| Rocky Mountain forests are poised to recover following bark beetle outbreaks, but with altered composition KC Rodman, RA Andrus, AR Carlson, TA Carter, TB Chapman, JD Coop, ... Journal of Ecology, 2022 | 9 | 2022 |
| Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary … Y Shen, X Zhang, Z Yang, Y Ye, J Wang, S Gao, Y Liu, W Wang, KH Tran, ... Remote Sensing of Environment 296, 113729, 2023 | 6 | 2023 |
| Development of Global Land Surface Phenology Product from Time Series of VIIRS Observations X Zhang, J Wang, Y Ye IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 3 | 2020 |
| Quantitative assessment of the different methods addressing the endmember variability Y Rao, J Chen, X Chen, J Wang Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International …, 2013 | 3 | 2013 |
| Validation of VIIRS Land Surface Phenology using Field Observations, PhenoCam Imagery, and Landsat data X Zhang, S Jayavelu, J Wang, GM Henebry, JM Gray, MA Friedl, Y Liu, ... AGU Fall Meeting Abstracts 2016, B33J-06, 2016 | 1 | 2016 |
xiaoyang zhangProfessor, South Dakota State UniversityVerified email at sdstate.edu
