Publications

Peer reviewed journal articles

2025 – 2024 – 2023 – 2022 – 2021 – 2020 – 2019 – 2018 – 2017 – 2016 – 2015

2025	Tian YP, Zhao F, Meng R, Sun R, Zhang Y, Shen YY, Wang B, Liu J, Li MZ. A vision foundation model-based method for large-scale forest disturbance mapping using time series Sentinel-1 SAR data. Remote Sensing of Environment*
2025	Xu BY, Tian HQ, Pan SF, etc., Zhao F. HIStory of LAND transformation by humans in South America (HISLAND-SA): annual and 1-km crop-specific gridded data (1950–2020). Earth System Science Data*.

2024	Liu T, Li PP, Zhao F, Liu J, Meng R. Early-Stage Mapping of Winter Canola by Combining Sentinel-1 and Sentinel-2 Data in Jianghan Plain China. Remote Sensing*, 16:3197.
2024	Lv ZG, Xu BY, Zhong LH, Chen GS, Huang ZH, Sun R, Huang W, Zhao F, Meng R. Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method. Computers and Electronics in Agriculture*, 224 :109232.
2024	Shen Y, Zhao YT, Chen GS, Lv ZG, Zhao F, Yang WN, Meng R. Identification and Severity Classification of Typical Maize Foliar Diseases Based on Hyperspectral Data. (In Chinese). Smart Agriculture* 2:28-39.

2023	Sun R, Zhao F, Huang CQ, Huang HB, Zhao P, Ni X, Meng R. Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery. Remote Sensing of Environment* 298:113821.
2023	Huang ZH, Zhong LH, Zhao F, Wu J, Tang H, Lv ZG, Xu BY, Zhou LF, Sun R, Meng R. A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 204:397-420.

2022

Meng R, Xu B, Zhao F*, Dong Y, Wang C, Sun R, Zhou Y, Zhou L, Gong S, Zhang D*. Characterizing the provision and inequality of primary school greenspaces in China’s major cities based on multi-sensor remote sensing. Urban Forestry and Urban Greening. 76:127670. (Elsevier’s McBride Best Paper Award)

2021	Qi M, Zhao F, Sun T, Voinov A. Disentangling the relative influence of regeneration processes on marsh plant assembly with a stage-structured plant assembly model. Ecological Modelling*, 455: 109646.

2020	Meng R, Lv Z, Yan J, Chen G, Zhao F, Zeng L, Xu B. Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification, Remote Sensing*, 12(19): 3233.

2019	Zhao F, Meng R, Gu H, Serbin S. Assessing post-fire tree mortality and biomass change by integrating Lidar and hyperspectral data, IEEE International Geoscience and Remote Sensing Symposium*.

2018	Xu Y, Yu L, Zhao F, Cai X, Zhao J, Lu H, Gong P. Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: Experiments from three sites in Africa, Remote Sensing of Environment*, 218:13-31.

2017	Meng R, Wu J, Schwager K, Zhao F, Dennison P, Cook B, Brewer K, Green T, and Serbin SP. Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem, Remote Sensing of Environment,* 191: 95-109.

2016	Zhao F, Meng R, Huang CQ, Zhao M, Zhao FA, Gong P, Yu L, Zhu Z. Long-term post-disturbance forest recovery in the Greater Yellowstone Ecosystem analyzed using Landsat Time Series Stack, Remote Sensing,* 8: 898.

2015	Meng R, Zhao F, Sun K, Zhang R, Huang CQ, Yang J. Analysis of the 2014 “APEC Blue” in Beijing using more than one decade of satellite observations: lessons learned from radical emission control measures, Remote Sensing*, 7: 15224-15243.
2015	Zhao F, Huang CQ, Zhu Z. Use of Vegetation Change Tracker and Support Vector Machine to map disturbance types in Greater Yellowstone Ecosystems in a 1984–2010 Landsat time series, Geoscience and Remote Sensing Letters, IEEE* 12: 1650-1654.
2015	Zhao F, Keane R, Zhu Z, Huang CQ. Comparing historical and current wildfire regimes in the northern Rocky Mountains using a landscape succession model, Forest Ecology and Management* 343: 9-21.