| Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China H Fang, Y Zhang, S Wei, W Li, Y Ye, T Sun, W Liu Remote Sensing of Environment 233, 111377, 2019 | 139 | 2019 |
| Continuous estimation of canopy leaf area index (LAI) and clumping index over broadleaf crop fields: An investigation of the PASTIS-57 instrument and smartphone applications H Fang, Y Ye, W Liu, S Wei, L Ma Agricultural and Forest Meteorology 253, 48-61, 2018 | 112 | 2018 |
| Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products MO Román, C Justice, I Paynter, PB Boucher, S Devadiga, A Endsley, ... Remote Sensing of Environment 302, 113963, 2024 | 87 | 2024 |
| 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 | 53 | 2023 |
| 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 | 49 | 2022 |
| Impact of water background on canopy reflectance anisotropy of a paddy rice field from multi-angle measurements T Sun, H Fang, W Liu, Y Ye Agricultural and Forest Meteorology 233, 143-152, 2017 | 47 | 2017 |
| 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 | 32 | 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 | 31 | 2021 |
| 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 | 28 | 2022 |
| HP-LSP: A reference of land surface phenology from fused Harmonized Landsat and Sentinel-2 with PhenoCam data KH Tran, X Zhang, Y Ye, Y Shen, S Gao, Y Liu, A Richardson Scientific Data 10 (1), 691, 2023 | 21 | 2023 |
| Evaluation of PlanetScope-detected plant-specific phenology using infrared-enabled PhenoCam observations in semi-arid ecosystems Y Liu, X Zhang, Y Shen, Y Ye, S Gao, KH Tran ISPRS Journal of Photogrammetry and Remote Sensing 210, 242-259, 2024 | 15 | 2024 |
| Analyzing GOES-R ABI BRDF-adjusted EVI2 time series by comparing with VIIRS observations over the CONUS Y Shen, X Zhang, S Gao, HK Zhang, C Schaaf, W Wang, Y Ye, Y Liu, ... Remote Sensing of Environment 302, 113972, 2024 | 15 | 2024 |
| Exploration of global spatiotemporal changes of fall foliage coloration in deciduous forests and shrubs using the VIIRS land surface phenology product Y Ye, X Zhang Science of Remote Sensing 4, 100030, 2021 | 12 | 2021 |
| Near real-time corn and soybean mapping at field-scale by blending crop phenometrics with growth magnitude from multiple temporal and spatial satellite observations Y Shen, X Zhang, KH Tran, Y Ye, S Gao, Y Liu, S An Remote Sensing of Environment 318, 114605, 2025 | 11 | 2025 |
| The field measurements and high resolution reference LAI data in Hailun and Honghe, China H Fang, Y Zhang, S Wei, W Li, Y Ye, T Sun, W Liu | 8 | 2019 |
| A transformer-based model for detecting land surface phenology from the irregular harmonized Landsat and Sentinel-2 time series across the United States KH Tran, X Zhang, HK Zhang, Y Shen, Y Ye, Y Liu, S Gao, S An Remote Sensing of Environment 320, 114656, 2025 | 7 | 2025 |
| Estimation of forest leaf area index and clumping index from the Global Positioning System (GPS) satellite carrier-to-noise-density ratio (C/N0) Y Zhang, H Fang, L Ma, Y Ye, Y Wang Remote Sensing Letters 11 (2), 146-155, 2020 | 6 | 2020 |
| Improvement of land surface phenology monitoring by fusing VIIRS observations with GOES-16/17 ABI time series S Gao, X Zhang, Y Shen, KH Tran, Y Ye, Y Liu Remote Sensing of Environment 326, 114803, 2025 | 2 | 2025 |
| Development of an enhanced hybrid piecewise logistic model for retrieving land surface phenology in drylands Y Ye, X Zhang, J Wang, KH Tran, Y Liu, Y Shen, S Gao, S An Remote Sensing of Environment 330, 114982, 2025 | 1 | 2025 |
| Heterogeneous land surface phenology challenges the comparison among PlanetScope, HLS, and VIIRS detections in semi-arid rangelands Y Liu, X Zhang, KH Tran, Y Ye, Y Shen, S An Agricultural and Forest Meteorology 366, 110497, 2025 | 1 | 2025 |
xiaoyang zhangProfessor, South Dakota State UniversityVerified email at sdstate.edu
