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First 133 results for ” R.; Zhao”

1. Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations

   Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere (TOA) r...

   L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125

   Publication

2. Detection and emission estimates of NOx sources over China North Plain using OMI observations
   J Zhang, RJ van der A, J Ding | Status: published | Journal: Int. J. of Remote Sens. | Volume: 9 | Year: 2018 | First page: 2847 | Last page: 2859 | doi: 10.1080/01431161.2018.1430402

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3. Assessing long-term spatio-temporal variability in humidity and drought in Iran using Pedj Drought Index (PDI)

   Although drought is a normal feature of climate, there is confusion about its characteristics in ...

   A. Lashkari, M. Irannezhad, H. Zare, L. D. Labzovskii | Journal: Journal of Arid Environments | Year: 2021 | doi: https://doi.org/10.1016/j.jaridenv.2020.104336

   Publication

4. A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods

   As urbanization intensifies, the quantification of methane (CH4) emissions at city scales faces ...

   Li, X.; Zhang, Y.; de Leeuw, G.; Yao, X.; He, Z.; Wu, H.; Yang, Z. | Journal: . Remote Sens. | Volume: 17 | Year: 2025 | First page: 1 | Last page: 32 | doi: https://doi.org/10.3390/rs17183152.

   Publication

5. Significant contribution of inland ships to the total NOx emissions along the Yangtze River

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   Zhang, X., van der A, R., Ding, J., Zhang, X., and Yin, Y. | Journal: Atmos. Chem. Phys. | Volume: 23 | Year: 2023 | First page: 5587 | Last page: 5604 | doi: https://doi.org/10.5194/acp-23-5587-2023

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