Yufang Zhang

Robust background image generation and vehicle 3D detection and tracking

Yufang Zhang, P. Shi, E.G. Jones, 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

Determining the accuracy of the landsat-based land continuous Variable Estimator

S. Liang, Jinling Song, Zhiliang Zhu, 2022, Science of Remote Sensing.

Soil moisture content retrieval from Landsat 8 data using ensemble learning

S. Liang, Zhiliang Zhu, T. He, 2022, ISPRS Journal of Photogrammetry and Remote Sensing.

A daily 5-km all-sky sea-surface longwave radiation product based on statistically modified deep neural network and spatiotemporal analysis for 1981–2018

S. Liang, T. He, Yufang Zhang, 2023, Remote Sensing of Environment.

Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning

S. Liang, T. He, Yufang Zhang, 2023, Earth System Science Data.

Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products

S. Liang, T. He, Yufang Zhang, 2023, International Journal of Digital Earth.

Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning

Yufang Zhang, Xiaobang Liu, Guodong Zhang, 2022 .

Improved global 250 m 8-day NDVI and EVI products from 2000–2021 using the LSTM model

Yufang Zhang, Guodong Zhang, Han Ma, 2023, Scientific data.

Simultaneous estimation of five temporally regular land variables at seven spatial resolutions from seven satellite data using a multi-scale and multi-depth convolutional neural network

Yufang Zhang, Xiaobang Liu, Guodong Zhang, 2024, Remote Sensing of Environment.

Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020

Yufang Zhang, Xiaobang Liu, Guodong Zhang, 2024, GIScience & Remote Sensing.

Advances in high-resolution land surface satellite products : A comprehensive review of inversion algorithms, products and challenges

Yufang Zhang, Huaan Jin, Aolin Jia, 2024, Science of Remote Sensing.