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street2sat

https://github.com/nasaharvest/street2sat

Science Score: 36.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 12 committers (8.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary

Keywords from Contributors

energy-system-model
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: nasaharvest
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 804 MB
Statistics
  • Stars: 12
  • Watchers: 3
  • Forks: 3
  • Open Issues: 3
  • Releases: 0
Created about 5 years ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

Street2Sat

Street2Sat is a new framework for obtaining large data sets of geo-referenced crop type labels obtained from vehicle mounted cameras that can be extended to other applications.

Paper accepted to ICML 2021 Tackling Climate Change Using AI Workshop. 🎉 Link coming soon!

Setting up the environment

  1. Clone the repository
  2. Set up and activate a Python virtual environment bash python3 -m venv venv source venv/bin/activate
  3. Install the dependencies bash pip install -r requirements.txt ## Usage

Google Cloud Platform

Ensure the Google Cloud CLI is installed.

Initial Setup (only done once) bash gsutil mb gs://street2sat-uploaded Deploying resources (done on every code update) bash sh deploy.sh

Background

Ground-truth labels on crop type and other variables are critically needed to develop machine learning methods that use satellite observations to combat climate change and food insecurity. These labels difficult and costly to obtain over large areas, particularly in Sub-Saharan Africa where they are most scarce. Street2Sat is a new framework for obtaining large data sets of geo-referenced crop type labels obtained from vehicle mounted cameras that can be extended to other applications.

Owner

  • Name: nasaharvest
  • Login: nasaharvest
  • Kind: organization

GitHub Events

Total
  • Issues event: 5
  • Watch event: 2
  • Delete event: 1
  • Issue comment event: 5
  • Push event: 14
  • Pull request event: 2
  • Create event: 1
Last Year
  • Issues event: 5
  • Watch event: 2
  • Delete event: 1
  • Issue comment event: 5
  • Push event: 14
  • Pull request event: 2
  • Create event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 330
  • Total Committers: 12
  • Avg Commits per committer: 27.5
  • Development Distribution Score (DDS): 0.545
Past Year
  • Commits: 63
  • Committers: 4
  • Avg Commits per committer: 15.75
  • Development Distribution Score (DDS): 0.54
Top Committers
Name Email Commits
ivanzvonkov i****v@g****m 150
mangomadhava m****m@g****m 86
anjalipaliyam 1****m 29
Adebowale d****7@g****m 21
pre-commit-ci[bot] 6****] 18
Diana Botchway Frimpong 1****F 7
Madhava Paliyam p****m@g****u 5
imanasmith 1****h 4
Aniket-Parlikar 5****r 4
Hannah Kerner h****r@g****m 3
imadtyx a****9@g****m 2
KartikJawanjal j****7@g****m 1
Committer Domains (Top 20 + Academic)
gsapp6.gshpc.umd.edu: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 16
  • Total pull requests: 41
  • Average time to close issues: about 1 year
  • Average time to close pull requests: 14 days
  • Total issue authors: 5
  • Total pull request authors: 8
  • Average comments per issue: 1.63
  • Average comments per pull request: 1.07
  • Merged pull requests: 38
  • Bot issues: 0
  • Bot pull requests: 5
Past Year
  • Issues: 0
  • Pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: 26 days
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.25
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 3
View more stats
Top Authors
Issue Authors
  • ivanzvonkov (9)
  • mangomadhava (3)
  • hannah-rae (2)
  • adebowaledaniel (1)
  • green512 (1)
Pull Request Authors
  • ivanzvonkov (28)
  • pre-commit-ci[bot] (8)
  • anjalipaliyam (5)
  • mangomadhava (4)
  • adebowaledaniel (2)
  • imanasmith (2)
  • Di-anaBF (2)
  • Aniket-Parlikar (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

gcp/trigger_inference/requirements.txt pypi
  • requests *
gcp/inference_cropnop/requirements.txt pypi
  • exifread *
  • google-cloud-firestore *
  • google-cloud-storage *
  • matplotlib *
  • opencv-python *
gcp/inference_segmentation/requirements.txt pypi
  • google-cloud-firestore *
  • google-cloud-storage *
  • matplotlib *
  • scikit-image *
gcp/get_satellite_img/requirements.txt pypi
  • google-cloud-firestore *
  • google-cloud-secret-manager *
  • google-cloud-storage *
  • opencv-python *
  • pyGeoTile *
  • wget *
gcp/inference_satellite/requirements.txt pypi
  • google-cloud-firestore *
  • google-cloud-storage *
  • matplotlib *
  • opencv-python *
  • pygeotile *
gcp/delete_street2sat_prediction/requirements.txt pypi
  • google-cloud-firestore *
requirements.txt pypi
  • ExifRead *
  • folium *
  • gcsfs *
  • geopandas *
  • google-cloud-firestore *
  • google-cloud-storage *
  • jupyter *
  • pre-commit *
  • torchserve *