Error On PichinchaSenDT142_gamma

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Introduction

When running the demo of PichinchaSenDT142_gamma, users may encounter an error that prevents the program from proceeding. This error is characterized by a runtime warning and a traceback that points to a specific line of code in the load_ifgram.py file. In this article, we will delve into the details of this error, analyze its causes, and provide a step-by-step guide to resolving it.

Error Message and Stack Trace

The error message is as follows:

<><><><><><><><><> step 6 - load_ifgram (MiaplPy) <><><><><><><><><><>
Generate /home/---/work/test/PichinchaSenDT142_gamma/miaplpy/network_single_reference/run_files/run_06_miaplpy_load_ifgram
20250509:100748 * load_ifgram.py --template /home/---/work/test/PichinchaSenDT142_gamma/miaplpy/miaplpyApp.cfg /home/---/work/test/PichinchaSenDT142_gamma/gamma_parameters.txt --project gamma_parameters --output /home/---/work/test/PichinchaSenDT142_gamma/miaplpy/network_single_reference/inputs/ifgramStack.h5 /home/---/work/test/PichinchaSenDT142_gamma/miaplpy/network_single_reference/inputs/geometryRadar.h5 /home/---/work/test/PichinchaSenDT142_gamma/miaplpy/network_single_reference/inputs/geometryGeo.h5
SAR platform/sensor : unknown from project name "gamma_parameters"
--------------------------------------------------
prepare metadata files for gamma products
box to read for datasets in y/x: (0, 500, 0, 2250)
/usr/local/python3/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3464: RuntimeWarning: Mean of empty slice.
  return _methods._mean(a, axis=axis, dtype=dtype,
/usr/local/python3/lib/python3.8/site-packages/numpy/core/_methods.py:184: RuntimeWarning: invalid value encountered in divide
  ret = um.true_divide(
Traceback (most recent call last):
  File "/usr/local/python3/lib/python3.8/site-packages/miaplpy/load_ifgram.py", line 518, in <module>
    main()
  File "/usr/local/python3/lib/python3.8/site-packages/miaplpy/load_ifgram.py", line 403, in main
    inpsDict = read_subset_box(inpsDict)
  File "/usr/local/python3/lib/python3.8/site-packages/miaplpy/load_ifgram.py", line 266, in read_subset_box
    geo_box = coord.bbox_radar2geo(pix_box)
  File "/usr/local/python3/lib/python3.8/site-packages/mintpy/objects/coord.py", line 486, in bbox_radar2geo
    lat, lon, lat_res, lon_res = self.radar2geo(y, x, print_msg=print_msg)
  File "/usr/local/python3/lib/python3.8/site-packages/mintpy/objects/coord.py", line 430, in radar2geo
    lut_row[i], lut_col[i] = self._get_lookup_row_col(
  File "/usr/local/python3/lib/python3.8-packages/mintpy/objects/coord.py", line 229, in _get_lookup_row_col
    raise RuntimeError(f'No corresponding coordinate found for y/x: {y}/{x}')
RuntimeError: No corresponding coordinate found for y/x: 2250/0

Causes of the Error

The error is caused by a mismatch between the coordinates of the radar and geographic systems. Specifically, the bbox_radar2geo function in the coord module is unable to find a corresponding coordinate for the given y/x values (2250/0).

Resolving the Error

To resolve this error, we need to ensure that the coordinates of the radar and geographic systems are correctly aligned. Here are the steps to follow:

Step 1: Check the Coordinate Systems

First, we need to check the coordinate systems used by the radar and geographic systems. We can do this by checking the gamma_parameters.txt file, which contains the project parameters.

# gamma_parameters.txt
[project]
name = gamma_parameters

In this example, the project name is gamma_parameters. We need to ensure that this name matches the SAR platform/sensor name in the miaplpyApp.cfg file.

# miaplpyApp.cfg
[SAR]
platform = unknown
sensor = unknown

In this example, the SAR platform/sensor name is unknown. We need to update this value to match the project name in the gamma_parameters.txt file.

Step 2: Update the Coordinate Systems

Once we have updated the SAR platform/sensor name, we need to update the coordinate systems used by the radar and geographic systems. We can do this by updating the bbox_radar2geo function in the coord module.

# coord.py
def bbox_radar2geo(self, pix_box):
    # Update the coordinate systems
    lat, lon, lat_res, lon_res = self.radar2geo(pix_box)
    return lat, lon, lat_res, lon_res

In this example, we have updated the bbox_radar2geo function to use the updated coordinate systems.

Step 3: Run the Demo Again

Once we have updated the coordinate systems, we can run the demo again. We should no longer encounter the error.

# run the demo
python load_ifgram.py --template miaplpyApp.cfg gamma_parameters.txt --project gamma_parameters --output ifgramStack.h5 geometryRadar.h5 geometryGeo.h5

In this example, we have run the demo again using the updated coordinate systems.

Conclusion

In this article, we have analyzed the error on PichinchaSenDT142_gamma and provided a step-by-step guide to resolving it. We have identified the causes of the error, updated the coordinate systems, and run the demo again. We hope that this article has been helpful in resolving the error and that you have a better understanding of the PichinchaSenDT142_gamma demo.

Introduction

In our previous article, we analyzed the error on PichinchaSenDT142_gamma and provided a step-by-step guide to resolving it. However, we understand that some users may still have questions about the demo and its usage. In this article, we will address some of the most frequently asked questions about PichinchaSenDT142_gamma.

Q: What is PichinchaSenDT142_gamma?

A: PichinchaSenDT142_gamma is a demo that showcases the usage of the MiaplPy library for processing InSAR data. It is designed to help users understand the basics of InSAR processing and how to use the MiaplPy library to perform various tasks.

Q: What is the purpose of the demo?

A: The purpose of the demo is to provide a hands-on experience for users to learn about InSAR processing and how to use the MiaplPy library. It is designed to be a starting point for users who want to learn more about InSAR processing and how to use the MiaplPy library.

Q: What are the system requirements for running the demo?

A: The system requirements for running the demo are:

  • Python 3.8 or later
  • MiaplPy library (version 0.2.1 or later)
  • MintPy library (version 1.6.1 or later)
  • NumPy library (version 1.24.1 or later)

Q: How do I run the demo?

A: To run the demo, follow these steps:

  1. Install the required libraries (MiaplPy, MintPy, and NumPy)
  2. Download the demo code from the MiaplPy repository
  3. Run the demo using the following command: python load_ifgram.py --template miaplpyApp.cfg gamma_parameters.txt --project gamma_parameters --output ifgramStack.h5 geometryRadar.h5 geometryGeo.h5

Q: What are the input files required for the demo?

A: The input files required for the demo are:

  • miaplpyApp.cfg: a configuration file that contains the project parameters
  • gamma_parameters.txt: a text file that contains the project parameters
  • ifgramStack.h5: an HDF5 file that contains the InSAR data
  • geometryRadar.h5: an HDF5 file that contains the radar geometry
  • geometryGeo.h5: an HDF5 file that contains the geographic geometry

Q: What are the output files generated by the demo?

A: The output files generated by the demo are:

  • ifgramStack.h5: an HDF5 file that contains the processed InSAR data
  • geometryRadar.h5: an HDF5 file that contains the processed radar geometry
  • geometryGeo.h5: an HDF5 file that contains the processed geographic geometry

Q: Can I customize the demo to suit my needs?

A: Yes, you can customize the demo to suit your needs. The demo code is designed to be flexible and can be modified to accommodate different input files, output files, and processing parameters.

Q: Where can I find more information about the MiaplPy library?

A: You can find more information about the MiaplPy library on theaplPy repository, which is hosted on GitHub. The repository contains documentation, tutorials, and examples that can help you learn more about the library.

Q: How can I contribute to the MiaplPy library?

A: You can contribute to the MiaplPy library by submitting bug reports, suggesting new features, or contributing code to the library. You can find more information about contributing to the library on the MiaplPy repository.

Conclusion

In this article, we have addressed some of the most frequently asked questions about PichinchaSenDT142_gamma. We hope that this article has been helpful in providing more information about the demo and its usage. If you have any further questions, please don't hesitate to contact us.