DRIP-SLIP | DRIP and SLIP Landslide Detection Package
kandi X-RAY | DRIP-SLIP Summary
kandi X-RAY | DRIP-SLIP Summary
DRIP-SLIP is a Python library. DRIP-SLIP has no bugs, it has no vulnerabilities and it has low support. However DRIP-SLIP build file is not available and it has a Non-SPDX License. You can download it from GitHub.
DRIP and SLIP Landslide Detection Package
DRIP and SLIP Landslide Detection Package
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Quality
Security
License
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Support
DRIP-SLIP has a low active ecosystem.
It has 49 star(s) with 34 fork(s). There are 18 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 1143 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of DRIP-SLIP is current.
Quality
DRIP-SLIP has 0 bugs and 0 code smells.
Security
DRIP-SLIP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
DRIP-SLIP code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
DRIP-SLIP has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
DRIP-SLIP releases are not available. You will need to build from source code and install.
DRIP-SLIP has no build file. You will be need to create the build yourself to build the component from source.
DRIP-SLIP saves you 157 person hours of effort in developing the same functionality from scratch.
It has 391 lines of code, 28 functions and 3 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed DRIP-SLIP and discovered the below as its top functions. This is intended to give you an instant insight into DRIP-SLIP implemented functionality, and help decide if they suit your requirements.
- Download Landsat scene
- Runs the SLIP comparison algorithm
- Crops the rasters to backfill
- Get historic bands
- Read all bands in the given path
- Convert an array to a raster
- Reproject an image
- Returns the extent of the raster
- Convert rasters to numpy arrays
- Move backfill files to historic
- Helper function to perform backfill
- Complete a cloud mask
- Calculates a cloud mask of a cloud band
- Extract a tar ID
- Mask a band array
- Find the path to the Landsat 8
- Convert a Julian day to Julian day
- Get current year
- Return current month
- Get the current day
Get all kandi verified functions for this library.
DRIP-SLIP Key Features
No Key Features are available at this moment for DRIP-SLIP.
DRIP-SLIP Examples and Code Snippets
No Code Snippets are available at this moment for DRIP-SLIP.
Community Discussions
No Community Discussions are available at this moment for DRIP-SLIP.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DRIP-SLIP
You can download it from GitHub.
You can use DRIP-SLIP 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.
You can use DRIP-SLIP 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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