DRIP-SLIP
Detecting Realtime Increased Precipitation / Sudden Landslide Identification Product.
https://github.com/NASA-DEVELOP/DRIP-SLIP
Category: Natural Resources
Sub Category: Soil and Land
Last synced: about 21 hours ago
JSON representation
Repository metadata
DRIP and SLIP Landslide Detection Package
- Host: GitHub
- URL: https://github.com/NASA-DEVELOP/DRIP-SLIP
- Owner: NASA-DEVELOP
- License: other
- Created: 2016-06-24T15:01:49.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2023-08-17T15:55:37.000Z (over 1 year ago)
- Last Synced: 2024-10-29T19:57:26.392Z (6 months ago)
- Language: Python
- Size: 26.4 KB
- Stars: 66
- Watchers: 18
- Forks: 38
- Open Issues: 2
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
README.md
Detecting Realtime Increased Precipitation (DRIP) / Sudden Landslide Identification Product (SLIP)
This software is Depreciated. For help implementing the SLIP/DRIP algorithm, please consult the following paper and google earth engine implementation
- Paper: Fayne, J. V., Ahamed, A., Roberts-Pierel, J., Rumsey, A. C., & Kirschbaum, D. (2018). Automated Satellite-based Landslide Identification Product for Nepal. Earth Interactions, (2018).
- Earth Engine implementation
Module Description:
- Purpose: Landslide identification and extreme precipitation monitoring software. Detect spectral changes from Landsat imagery that may indicate landslides in Nepal.
- Contents: SLIP.py, SLIP_Preprocess.py, DRIP.py
- Authors: Justin Roberts-Pierel, Aakash Ahamed, Jessica Fayne, Amanda Rumsey, 2015
- Contact: [email protected], [email protected], [email protected]
- Organization: NASA DEVELOP
- Programming Language: Python 3 (Can be modified for python2)
- Required Python packages: os, numpy, gdal, ogr, osr, scipy, urllib, csv, time, datetime, h5py, csv, sys, smtplib, socket, glob, copy, email, natsort. (If there is a lot of interest, please contact us and we will construct a build script to install these dependencies).
- Disclaimer: This code base is not stable and is for demonstration purposes only! Users are responsible to check for accuracy and revise to fit their objective. As of 2016, funding on this project has expired and development has ceased.
Instructions and Notes:
This system has been run and tested on headless Ubuntu 14.04 operating systems provided by the Open Science Data Cloud.
- Users should sign up for an earthdata login and change Line 347 of DRIP.py to reflect their credentials.
- Username and password for USGS should also be contained within a "usgs.txt" file in the same directory as SLIP.py and DRIP.py.
- Locations (WRS paths/rows) are hard coded in SLIP.py and DRIP.py and must be changed manually to analyze a different area of the world.
This package also makes use of download_landsat.py, which is open source property of Oliver Hagolle.
More Information:
Owner metadata
- Name: NASA-DEVELOP
- Login: NASA-DEVELOP
- Email:
- Kind: organization
- Description:
- Website: https://appliedsciences.nasa.gov/nasadevelop
- Location: NASA Langley Research Center
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/13221515?v=4
- Repositories: 6
- Last ynced at: 2023-02-28T13:50:17.858Z
- Profile URL: https://github.com/NASA-DEVELOP
GitHub Events
Total
- Watch event: 1
- Fork event: 1
Last Year
- Watch event: 1
- Fork event: 1
Committers metadata
Last synced: 7 days ago
Total Commits: 19
Total Committers: 3
Avg Commits per committer: 6.333
Development Distribution Score (DDS): 0.421
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| kashingtondc | a****d@f****u | 11 |
| Mike Bender | m****4 | 7 |
| Aakash Ahamed | a****d@A****l | 1 |
Committer domains:
- fandm.edu: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 1
Total pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 1
Total pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- abhirupdikshit (1)
Top Pull Request Authors
- kovralex1 (1)
Top Issue Labels
Top Pull Request Labels
Score: 5.318119993844217