[20] Zhou, Q.; Guan, K.*; Wang, S.*; Hipple, J.; Chen, Z. "From satellite-based phenological metrics to crop planting dates: deriving field-level crop planting dates in the U.S. Midwest" ISPRS Journal of Photogrammetry and Remote Sensing, 2024. [Link]

[19] Zhou, Q.; Wang, S.*; Liu, N; Townsend, P.; Jiang, C.; Peng, B.; Verhoef, W.; Guan, K*. "Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine learning emulators" ISPRS Journal of Photogrammetry and Remote Sensing, 2023. [Link]

[18] Wang, S.*; Guan, K.*; Zhang, C; Zhou, Q.; Wang, S.; Wu, X.; Jiang, C.; Peng, B.; Mei, W.; Li, K.; Li, Z.; Yang Y.; Zhou, W.; Huang, Y.; Ma, Z. "Cross-scale sensing of field-level crop residue cover: integrating field photos, airborne hyperspectral imaging, and satellite data" Remote Sensing of Environment, 2023. [Link]

[17] Wang, S.*; Guan, K.*; Zhang, C; Jiang, C.; Zhou, Q.; Li, K.; Qin, Z.; Ainsworth, E.; He, J.; Wu, J.; Sheafer, D.; Gentry, L.; Margenot J.; Herzberger, L. "Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning" Remote Sensing of Environment, 2023. [Link]

[16] Wang, S.*; Guan, K.*; Zhang, C; Lee, D.; Margenot, J.; Ge, Y.; Peng, J.; Zhou, W.; Zhou, Q.; Huang, Y. "Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: assessing potential of airborne and spaceborne optical soil sensing" Remote Sensing of Environment, 2022. [Link]

[15] Zhou, Q.; Guan, K.*; Wang, S.*; Jiang, C.; Huang, Y.; Peng, B.; Chen, Z.; Wang, S.B.; Hipple, J.; Schaefer, D.; Qin, Z.; Stroebel, S.; Coppess, J.; Khanna, M.; Cai, Y. "Recent rapid increase of cover crop adoption across the U.S. Midwest detected by fusing multi-source satellite data" Geophysical Research Letters, 2022. [Link]

[14] Deines, J.*; Guan, K.; Lopez, B; Zhou, Q.; White, C.; Wang, S.; Lobell, D*. "Recent cover crop adoption is associated with small maize and soybean yield losses in the United States" Global Change Biology, 2022. [Link]

[13] Zhou, Q.; Wang, J.; Tian, L.*; Li, J.; Feng L.; Xing, Q. "Remotely sensed water turbidity dynamics and its potential driving factors in an urbanizing city" Journal of Hydrology, 2021. [Link]

[12] Zhou, Q.; Tian, L.; Li, J.*; Wu, H.; Zeng, Q. "Radiometric Cross-Calibration of Large-view-angle Satellite Sensors using Optimal Estimation to Reduce BRDF Influence" IEEE Transactions on Geoscience and Remote Sensing, 2020. [Link]

[11] Sun, X.; Liu, J.; Wang, J.; Tian, L.*; Zhou, Q.; Li, J. "Integrated monitoring of lakes’ turbidity in Wuhan, China during the COVID-19 epidemic using multi-sensor satellite observations" International Journal of Digital Earth, 2020. [Link]

[10] Zhou, Q.; Liu, J.; Wang, J.; Deng, S.; Tian L*. "Water turbidity monitoring of Zhiyin and Huangjia lakes in Wuhan for the 2019 novel coronavirus pneumonia using HY-1C CZI data" Geomatics and Information Science of Wuhan University, 2020 (Full paper in Chinese and abstract in English). [Link]

[09] Zhou, Q.; Tian, L.*; Li, J.; Song, Q.; Wei, A. "Coupled Approach for Radiometric Calibration and Parameter Retrieval to Improve Water Quality Estimations in Turbid Inland/Coastal Waters" Optical Express, 2020. [Link]

[08] Zhou, Q.; Sun, X.; Li, J.; Tian, L*. "Grouping-Based Time-Series Model for Monitoring of Fall Peak Coloration Dates Using Satellite Remote Sensing Data" Remote Sensing, 2020. [Link]

[07] Wang, T.*; Li, X.; Tian, L.; Chen, Z.; Li, Z.; Zhang, G.; Li, D.; Shen, X.; Li, X.; Jiang, B.; Zhou, Q.; Deng, S. Wang, J.; Zhu, H. "Space Remote Sensing Dynamic Monitoring for Urban Complex" Geomatics and Information Science of Wuhan University, 2020 (Full paper in Chinese and abstract in English). [Link]

[06] Zhou, Q.; Tian, L.; Li, W.; Li, J*. "Assessment of bidirectional reflectance effects on desert and forest for radiometric cross-calibration of satellite sensors" ISPRS Journal of Photogrammetry and Remote Sensing, 2019. [Link]

[05] Li W.; Tian L*.; Li J.; Zhou, Q.; Li Y.; Li S. "Impact of Natural and Anthropogenic Changes on the Spatial–Temporal Variations of Total Suspended Matter in the Pearl River Estuary, China" Journal of Coastal Research, 2019. [Link]

[04] Zhou, Q.; Tian, L.; Song, Q.; Li, W.; Li, J*. "Radiometric Cross-Calibration of Tiangong-2 MWI Visible/NIR Channels over Aquatic Environments using MODIS" Remote Sensing, 2018. [Link]

[03] Zhou, Q.; Tian, L.; Wai, O.W.H.; Li, J*.; Sun, Z.; Li, W. "Impacts of Insufficient Observations on the Monitoring of Short- and Long-Term Suspended Solids Variations in Highly Dynamic Waters, and Implications for an Optimal Observation Strategy" Remote Sensing, 2018. [Link]

[02] Zhou, Q.; Tian, L.; Wai, O.W.H.; Li, J*.; Sun, Z.; Li, W. "High-Frequency Monitoring of Suspended Sediment Variations for Water Quality Evaluation at Deep Bay, Pearl River Estuary, China: Influence Factors and Implications for Sampling Strategy" Water, 2018. [Link]

[01] Li, J*.; Zhou, Q.; Chen, X.; Tian, L.; Li, T. "Spatial Scale Study on Quantitative Remote Sensing of Highly Dynamic Coastal/Inland Waters" Geomatics and Information Science of Wuhan University, 2018 (Full paper in Chinese and abstract in English). [Link]

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