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DRIP-SLIP

DRIP and SLIP Landslide Detection Package

https://github.com/NASA-DEVELOP/DRIP-SLIP

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
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    Academic publication links
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    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
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    Scientific vocabulary similarity
    Low similarity (12.8%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

DRIP and SLIP Landslide Detection Package

Basic Info
  • Host: GitHub
  • Owner: NASA-DEVELOP
  • License: other
  • Language: Python
  • Default Branch: master
  • Size: 26.4 KB
Statistics
  • Stars: 66
  • Watchers: 17
  • Forks: 34
  • Open Issues: 2
  • Releases: 0
Created about 10 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License

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

  1. 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).
  2. 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: jr23@email.sc.edu, aakash.ahamed@nasa.gov, jfayne2@gmu.edu
  • 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.

  1. Users should sign up for an earthdata login and change Line 347 of DRIP.py to reflect their credentials.
  2. Username and password for USGS should also be contained within a "usgs.txt" file in the same directory as SLIP.py and DRIP.py.
  3. 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

  • Name: NASA-DEVELOP
  • Login: NASA-DEVELOP
  • Kind: organization
  • Location: NASA Langley Research Center

GitHub Events

Total
  • Watch event: 1
  • Fork event: 2
Last Year
  • Watch event: 1
  • Fork event: 2

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 19
  • Total Committers: 3
  • Avg Commits per committer: 6.333
  • Development Distribution Score (DDS): 0.421
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
kashingtondc a****d@f****u 11
Mike Bender m****4 7
Aakash Ahamed a****d@A****l 1
Committer Domains (Top 20 + Academic)
fandm.edu: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • 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 requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
  • abhirupdikshit (1)
Pull Request Authors
  • kovralex1 (1)
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