In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations | turbidity detection of water ponds using Satellite imagery

by satish1901 Python Version: Current License: MIT

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kandi X-RAY | In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations Summary

In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations is a Python library. In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Salinity and turbidity detection of water ponds using Satellite imagery

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In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations is current.

Quality

In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations has no bugs reported.

Security

In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations Key Features

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In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations Examples and Code Snippets

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Install In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations

This finishes the environment setup for water quality detection.
Clone this repository
Create a python (3.6 or greater) virtualenv
Activate the virtualenv
Install dependencies
cd to rio-pansharpen directory and run the following commands
main.py is the primary file to run the code. To see the list of arguments run. It dumps the following output. Sample commands to run the code. The output of above command will generate color coded output of water quality of each pond/lake in visual_output directory and histogram plot in histogram directory. Along with that, it will generate 2 .csv files with names vol.csv and top5avg.csv, which contains the relative volumne of water in each pond and expected value of top-10 pixel of water quality output respectively.

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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