Jie Xue
Jie Xue
USDA-ARS Hydrology and Remote Sensing Laboratory
Verified email at - Homepage
Cited by
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A Bayesian data fusion approach to spatio-temporal fusion of remotely sensed images
J Xue, Y Leung, T Fung
Remote Sensing 9 (12), 1310, 2017
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales
MC Anderson, Y Yang, J Xue, KR Knipper, Y Yang, F Gao, CR Hain, ...
Remote Sensing of Environment 252, 112189, 2021
Deep convolutional neural network for mapping smallholder agriculture using high spatial resolution satellite image
B Xie, HK Zhang, J Xue
Sensors 19 (10), 2398, 2019
Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances
J Xue, MC Anderson, F Gao, C Hain, L Sun, Y Yang, KR Knipper, ...
Remote sensing of environment 251, 112055, 2020
High-order Taylor series expansion methods for error propagation in geographic information systems
J Xue, Y Leung, JH Ma
Journal of Geographical Systems 17, 187-206, 2015
An unmixing-based Bayesian model for spatio-temporal satellite image fusion in heterogeneous landscapes
J Xue, Y Leung, T Fung
Remote Sensing 11 (3), 324, 2019
Mapping daily evapotranspiration at field scale using the harmonized Landsat and Sentinel-2 dataset, with sharpened VIIRS as a Sentinel-2 thermal proxy
J Xue, MC Anderson, F Gao, C Hain, Y Yang, KR Knipper, WP Kustas, ...
Remote Sensing 13 (17), 3420, 2021
Improved daily evapotranspiration estimation using remotely sensed data in a data fusion system
Y Yang, M Anderson, F Gao, J Xue, K Knipper, C Hain
Remote Sensing 14 (8), 1772, 2022
Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion
J Xue, MC Anderson, F Gao, C Hain, KR Knipper, Y Yang, WP Kustas, ...
Irrigation Science 40 (4), 609-634, 2022
The complementary uses of Sentinel-1A SAR and ECOSTRESS datasets to identify vineyard growth and conditions: a case study in Sonoma County, California
A Davitt, D Tesser, H Gamarro, M Anderson, K Knipper, J Xue, W Kustas, ...
Irrigation Science 40 (4), 655-681, 2022
Sparsity-based spatiotemporal fusion via adaptive multi-band constraints
H Ying, Y Leung, F Cao, T Fung, J Xue
Remote Sensing 10 (10), 1646, 2018
A comparative study of several taylor expansion methods on error propagation
J Xue, J Ma
2012 20th International Conference on Geoinformatics, 1-5, 2012
A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model–diagnosing evapotranspiration from plant to global scales
MC Anderson, WP Kustas, JM Norman, GT Diak, CR Hain, F Gao, Y Yang, ...
Agricultural and Forest Meteorology 350, 109951, 2024
Mapping Water Use and Drought at Field to Global Scales
C Hain, MC Anderson, F Gao, B Kustas, J Xue, Y Yang, Y Yang, ...
AGU Fall Meeting, 2022
On the value of thermal infrared remote sensing for water and land management
M Anderson, Y Yang, J Xue, K Knipper, Y Yang, F Gao, C Hain, T Holmes, ...
EGU General Assembly Conference Abstracts, EGU22-6797, 2022
Improving Temporal Sampling of ET Timeseries Retrievals using Multi-Sensor Thermal Imaging Sources
M Anderson, J Xue, Y Yang, K Knipper, C Hain, W Kustas, F Gao
AGU Fall Meeting Abstracts 2021, H53D-07, 2021
Multi-Sensor Mapping of Evapotranspiration and Vegetation Stress in Agricultural Landscapes
MC Anderson, F Gao, C Hain, J Xue, Y Yang, KR Knipper, Y Yang, ...
101st American Meteorological Society Annual Meeting, 2021
Added Value of Sentinel-2 and VIIRS Data in Mapping Daily Evapotranspiration at Sub-field Scales
J Xue, MB Anderson, F Gao, C Hain, Y Yang, K Knipper
AGU Fall Meeting Abstracts 2020, H026-07, 2020
Mapping High Spatiotemporal Resolution Evapotranspiration in Agricultural Landscapes Using Multi-Sensor Data Fusion System
J Xue, M Anderson, F Gao, L Sun, Y Yang
AGU Fall Meeting Abstracts 2019, H23C-04, 2019
ECOSTRESS-Landsat Synergy for Mapping Evapotranspiration and Vegetation Stress in Agricultural Landscapes
M Anderson, F Gao, C Hain, Y Yang, J Xue, K Knipper, WP Kustas, ...
AGU Fall Meeting Abstracts 2019, GC53A-03, 2019
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