Publications

You can also find my articles on my Google Scholar profile.

An accurate 10 m annual crop map product of maize and soybean across the United States

Published in Earth System Science Data, 2026

Li, H., Song, X.-P., Adusei, B., Pickering, J., Lima, A., Poulson, A., Baggett, A., Potapov, P., Khan, A., Zalles, V., Hernandez-Serna, A., Jantz, S.M., Pickens, A.H., Ortiz-Dominguez, C., Li, X., Kerr, T., Song, Z., Turubanova, S., Bongwele, E., Kondjo, H.K., Komarova, A., Stehman, S.V., Hansen, M.C. (2026). An accurate 10 m annual crop map product of maize and soybean across the United States. Earth System Science Data, 18, 2227-2249. https://doi.org/10.5194/essd-18-2227-2026
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Agricultural expansion and intensification in Brazil: A literature synthesis of dynamics, drivers, and implications

Published in EarthArXiv, 2026

Li, H. (2026). Agricultural expansion and intensification in Brazil: A literature synthesis of dynamics, drivers, and implications. EarthArXiv, https://doi.org/10.31223/X5T76J
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Accounting for spatial variability with geo-aware random forest: A case study for US major crop mapping

Published in Remote Sensing of Environment, 2025

Xie, Y., Nhu, A.N., Song, X.P., Jia, X., Skakun, S., Li, H. and Wang, Z. (2025). Accounting for spatial variability with geo-aware random forest: A case study for US major crop mapping. Remote Sensing of Environment, 319, p.114585. https://doi.org/10.1016/j.rse.2024.114585
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Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation

Published in Remote Sensing of Environment, 2023

Li, H., Song, X.P., Hansen, M.C., Becker-Reshef, I., Adusei, B., Pickering, J., Wang, L., Wang, L., Lin, Z., Zalles, V. and Potapov, P. (2023). Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation. Remote sensing of environment, 294, p.113623. https://doi.org/10.1016/j.rse.2023.113623
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Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning

Published in Agricultural and Forest Meteorology, 2022

Song, X.P., Li, H., Potapov, P. and Hansen, M.C. (2022). Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning. Agricultural and Forest Meteorology, 326, p.109186. https://doi.org/10.1016/j.agrformet.2022.109186
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Numerical study of remote sensed dredging impacts on the suspended sediment transport in China’s largest freshwater lake

Published in Water, 2019

Lu, J., Li, H., Chen, X. and Liang, D. (2019). Numerical study of remote sensed dredging impacts on the suspended sediment transport in China’s largest freshwater lake. Water, 11(12), p.2449. https://doi.org/10.3390/w11122449
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Numerical simulation of suspended sediment concentration in Lake Poyang during flood season considering dredging activities

Published in Journal of Lake Sciences, 2016

Li, H., Chen, X., Lu, J., Zhang, P., Qi, H.D. and Chen, L. (2016). Numerical simulation of suspended sediment concentration in Lake Poyang during flood season considering dredging activities. Journal of Lake Sciences, 28, pp.421-431. https://doi.org/10.18307/2016.0223
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Research on meteorological factors and Logistic prediction model of cyanobacterial blooms in Erhai Lake

Published in Journal of China Central Normal University, 2016

Chen L., Zhang J., Chen X., Cai M., Li H. (2016). Research on meteorological factors and Logistic prediction model of cyanobacterial blooms in Erhai Lake. Journal of China Central Normal University. 50(4):606-611. https://journal.ccnu.edu.cn/zk/CN/abstract/abstract6806.shtml
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Haijun Li

Publications