Jingan Wu

Orcid: 0000-0002-4701-937X

According to our database1, Jingan Wu authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Deep Learning-Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 m Series Imagery.
Remote. Sens., March, 2024

The Diurnal Variation and Development Status of Ecoenvironmental Quality in Hainan, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
CAFE: A Cross-Attention Based Adaptive Weighting Fusion Network for MODIS and Landsat Spatiotemporal Fusion.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone.
IEEE Trans. Geosci. Remote. Sens., 2022

A Novel Method for Long Time Series Passive Microwave Soil Moisture Downscaling over Central Tibet Plateau.
Remote. Sens., 2022

Deriving gapless CO<sub>2</sub> concentrations using a geographically weighted neural network: China, 2014-2020.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Fusing Landsat 8 and Sentinel-2 data for 10-m dense time-series imagery using a degradation-term constrained deep network.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Hourly PM<sub>2.5</sub> Concentration Monitoring With Spatiotemporal Continuity by the Fusion of Satellite and Station Observations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data.
CoRR, 2021

2020
Spatiotemporal Fusion With Only Two Remote Sensing Images as Input.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019
A Spatiotemporal Fusion Based Cloud Removal Method for Remote Sensing Images With Land Cover Changes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019


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