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radar-science / Yang-2024-TropoTexCorr

Code and Notebooks for Yang et al. (2024) on InSAR tropospheric correction based on texture correlation

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insartroposphere

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Code and Jupyte Notebooks for:

  • Yang, Q., Yunjun, Z., Wang, R. Y. Heterogeneous InSAR Tropospheric Correction Based on Local Texture Correlation, IEEE Transactions on Geoscience and Remote Sensing, 62, doi:10.1109/TGRS.2024.3356749.


Fig. 8 Comparison of deformation rate and time series before and after tropospheric corrections. Dataset: ALOS-2 descending track 23 over Kirishima volcanoes, Kyushu, Japan.

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Code and Notebooks for Yang et al. (2024) on InSAR tropospheric correction based on texture correlation

insartroposphere

License:Apache License 2.0

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Language:Jupyter Notebook 99.8%Language:MATLAB 0.2%Language:Shell 0.0%