Підписатись
Yuxia Liu
Yuxia Liu
Підтверджена електронна адреса в sdstate.edu
Назва
Посилання
Посилання
Рік
Improved modeling of land surface phenology using MODIS land surface reflectance and temperature at evergreen needleleaf forests of central North America
Y Liu, C Wu, D Peng, S Xu, A Gonsamo, RS Jassal, MA Arain, L Lu, ...
Remote Sensing of Environment 176, 152-162, 2016
1072016
Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications
X Ma, X Zhu, Q Xie, J Jin, Y Zhou, Y Luo, Y Liu, J Tian, Y Zhao
Global Change Biology 28 (24), 7186-7204, 2022
402022
Short-time-series grassland mapping using Sentinel-2 imagery and deep learning-based architecture
A Abdollahi, Y Liu, B Pradhan, A Huete, A Dikshit, NN Tran
The Egyptian Journal of Remote Sensing and Space Sciences 25 (3), 673-685, 2022
272022
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
252023
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
112023
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
62024
Floating in the air: forecasting allergenic pollen concentration for managing urban public health
X Zhu, X Ma, Z Zhang, Y Liu, Y Luo, K Yan, T Pei, A Huete
International Journal of Digital Earth 17 (1), 2306894, 2024
42024
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
42024
Exploring the use of phenocams and satellite data to better inform the pasture phenology and aerobiology of allergenic grass pollen in eastern Australia
Y Liu
University of Technology Sydney, 2021
22021
Multi-scale phenology from digital time-lapse camera to Sentinel-2 and MODIS over Australian pastures
Y Liu, A Huete, Q Xie, H Nguyen
EGU General Assembly Conference Abstracts, 7261, 2020
22020
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
2025
A holistic big data approach to understand and manage increasing pollen‐induced respiratory allergies under global change
X Ma, A Huete, Y Liu, X Zhu, H Nguyen, T Miura, M Chen, X Li, G Asrar
Global Change Biology 30 (8), e17451, 2024
2024
An Advanced Algorithm in Monitoring Seasonal Vegetation Dynamics in Semiarid Shrublands
J Wang, X Zhang, Y Ye, Y Liu, Y Shen
AGU Fall Meeting Abstracts 2022, B32A-07, 2022
2022
Reconstruction of a High-quality PlanetScope Time Series for Plant Species Phenology Detection in Western United States
Y Liu, X Zhang, J Wang, Y Ye
AGU Fall Meeting Abstracts 2022, IN45B-0365, 2022
2022
A Novel Algorithm for Near Real Time Crop Progress Monitoring at Field Scales by Fusing Observations from Harmonized Landsat and Sentinel-2 and Geostationary Satellites
Y Shen, X Zhang, Z Yang, J Wang, Y Ye, W Wang, Y Liu
AGU Fall Meeting Abstracts 2022, GC32F-0665, 2022
2022
Near Real-Time Crop 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
Available at SSRN 4819376, 0
У даний момент система не може виконати операцію. Спробуйте пізніше.
Статті 1–16