ICAMS | open source module in python for InSAR

by ymcmrs Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | ICAMS Summary

ICAMS is a Python library. ICAMS has no bugs, it has no vulnerabilities and it has low support. However ICAMS build file is not available. You can download it from GitHub.

An open source module in python for InSAR troposphere Correction using global Atmospheric Models that considers the spatial Stochastic properties of the troposphere (ICAMS). We model (funcitonal model + stochatic model) the tropospheric parameters (P,T, and e) layer by layer along the altitude levels, and we calculate the InSAR delays along the LOS direction. ICAMS can be applied with all of the weather models (global or local). Currently, our code support to download and process ERA5 reanalysis data from ECMWF, and ICAMS can be used with MintPy hdf5 outputs directly. This is research code provided to you "as is" with NO WARRANTIES OF CORRECTNESS. Use at your own risk.

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Quality

Security

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Support

ICAMS has a low active ecosystem.

It has 7 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

ICAMS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ICAMS is current.

Quality

ICAMS has no bugs reported.

Security

ICAMS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ICAMS does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ICAMS releases are not available. You will need to build from source code and install.

ICAMS has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed ICAMS and discovered the below as its top functions. This is intended to give you an instant insight into ICAMS implemented functionality, and help decide if they suit your requirements.

Calculate LOS parameters
Returns the trend model for a given point
Print progress bar
Removes a trend from the data
R Load ECMWF data
Set the coordinates of a point
Calculate the raw value
Read an ECM file
Calculate the ergodic equation
Resample DEM data
Read region from string
Calculate the griddata coordinates for a set of points
Get latitude and longitude from meta data
Calculate the griddata and zenithm
Format an era 5 year
Read a text line from a txt file
Generate a txt file
Return True if s is a number
Read orbit parameter
Process an array
Getos3 coordinates from Lands3D coordinates
Get the center of the meta data
Convert a numpy array to a string
Parse command line parser
Write an hdf5 file
Determine the SNWE in the bounding box

Get all kandi verified functions for this library.

ICAMS Key Features

No Key Features are available at this moment for ICAMS.

ICAMS Examples and Code Snippets

No Code Snippets are available at this moment for ICAMS.

Community Discussions

No Community Discussions are available at this moment for ICAMS.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ICAMS

You can download it from GitHub.
You can use ICAMS like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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