Jia Xu
Orcid: 0000-0001-7688-5050Affiliations:
- Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, China
According to our database1,
Jia Xu
authored at least 11 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Soil Moisture-Derived SWDI at 30 m Based on Multiple Satellite Datasets for Agricultural Drought Monitoring.
Remote. Sens., September, 2024
Satellite-Based PT-SinRH Evapotranspiration Model: Development and Validation from AmeriFlux Data.
Remote. Sens., August, 2024
A Hybrid Index for Monitoring Burned Vegetation by Combining Image Texture Features with Vegetation Indices.
Remote. Sens., May, 2024
Global Terrestrial Evapotranspiration Estimation from Visible Infrared Imaging Radiometer Suite (VIIRS) Data.
Remote. Sens., January, 2024
Using Partial Cloud-Free Images to Improve Spatiotemporal Fusion for Terrestrial Latent Heat Flux: The Multiphase Self-Adaptive (MSA) Model.
IEEE Trans. Geosci. Remote. Sens., 2024
2019
Merging the MODIS and Landsat Terrestrial Latent Heat Flux Products Using the Multiresolution Tree Method.
IEEE Trans. Geosci. Remote. Sens., 2019
Assessing the Remotely Sensed Evaporative Drought Index for Drought Monitoring over Northeast China.
Remote. Sens., 2019
Integrating Latent Heat Flux Products from MODIS and Landsat Data Using Multi-Resolution Kalman Filter Method in the Midstream of Heihe River Basin of Northwest China.
Remote. Sens., 2019
Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets.
Remote. Sens., 2019
2017
Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982-2010.
Remote. Sens., 2017
MODIS-Based Estimation of Terrestrial Latent Heat Flux over North America Using Three Machine Learning Algorithms.
Remote. Sens., 2017