| 10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product KH Tran, HK Zhang, JT McMaine, X Zhang, D Luo International Journal of Applied Earth Observation and Geoinformation 107 …, 2022 | 55 | 2022 |
| Surface Water Mapping and Flood Monitoring in the Mekong Delta Using Sentinel-1 SAR Time Series and Otsu Threshold KH Tran, M Menenti, L Jia Remote Sensing 14 (22), 5721, 2022 | 24 | 2022 |
| 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 | 17 | 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 | 7 | 2023 |
| 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 | 4 | 2024 |
| Utility of daily 3 m Planet Fusion Surface Reflectance data for tillage practice mapping with deep learning D Luo, HK Zhang, R Houborg, LMN Ndekelu, M Maimaitijiang, KH Tran, ... Science of Remote Sensing 7, 100085, 2023 | 3 | 2023 |
| 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 | 2 | 2023 |
| Phenology derived from Satellite Data and PhenoCam across CONUS and Alaska, 2019-2020 KH Tran, X Zhang, Y Ye, Y Shen, S Gao, Y Liu, AD Richardson ORNL DAAC, 2023 | 2 | 2023 |
| Reconstruction of seamless harmonized Landsat Sentinel-2 (HLS) time series via self-supervised learning H Liu, HK Zhang, B Huang, L Yan, KK Tran, Y Qiu, X Zhang, DP Roy Remote Sensing of Environment 308, 114191, 2024 | | 2024 |
| 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 | | 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 | | 2024 |
| Land surface phenology in semiarid ecosystems: comparing and upscaling PlanetScope phenology detections to HLS and VIIRS phenology products Y Liu, X Zhang, Y Shen, KH Tran, Y Ye AGU23, 2023 | | 2023 |
| Fusion of Harmonized Landsat 8 and Sentinel-2 observations with near-surface PhenoCam time series for generating a benchmark dataset of land surface phenology KH Tran, X Zhang, Y Ye, Y Shen, S Gao, Y Liu, AD Richardson AGU23, 2023 | | 2023 |
| Improvement of Land Surface Phenology Estimation in Global Drylands Y Ye, X Zhang, KH Tran, Y Liu AGU23, 2023 | | 2023 |
| Investigation of GOES-R ABI EVI2 time series adjusted using different BRDF models Y Shen, X Zhang, S Gao, H Zhang, C Schaaf, W Wang, Y Ye, Y Liu, ... AGU23, 2023 | | 2023 |
| Application of Harmonic Regression with Sentinel-1 Time Series Data to Detect Complex Flooding in Agricultural Landscape In The Upstream Area of the Vietnamese Mekong Delta L Pham, TQ Vo, K Tran, PH Pham, VPD Tri Available at SSRN 4635447, 2023 | | 2023 |
| Discrepancy and linkage of Satellite-derived Land Surface Phenology with in-situ Observations from National Phenology Networks and PhenoCam Networks X Zhang, Y Ye, KH Tran EGU23, 2023 | | 2023 |
| Fusing Temporal Satellite Observations with Near-Surface Phenocam Time Series for Improving Land Surface Phenology Detection KH Tran, X Zhang, J Wang, Y Ye, Y Shen AGU Fall Meeting Abstracts 2022, B32D-1399, 2022 | | 2022 |
| A new algorithm of fusing temporal satellite observations with PhenoCam time series for detecting land surface phenology KH Tran, X Zhang AAG GPRM 2022, 2022 | | 2022 |
| Derivation of 10 m crop type map in the US using Sentinel-2 reflectance, 30 m Cropland Data Layer, and machine learning KH Tran, H Zhang, J McMaine, X Zhang 53rd South Dakota State Geography Convention, 2022 | | 2022 |
xiaoyang zhangProfessor, South Dakota State UniversityVerified email at sdstate.edu
