agr-ayush / Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification

LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.

agr-ayush
agr-ayush
Date Created 2018-07-11 (6 years ago)
Commits 10 (last one 3 years ago)
Stargazers 59 (0 this week)
Watchers 3 (0 this week)
Forks 34
License unknown
Ranking

RepositoryStats indexes 633,559 repositories, of these agr-ayush/Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification is ranked #439,829 (31st percentile) for total stargazers, and #418,320 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #85,565/129,482.

agr-ayush/Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification is also tagged with popular topics, for these it's ranked: python (#17,853/23457),  machine-learning (#6,437/8412),  time-series-analysis (#121/161)

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Recent Commit History

1 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

PythonPython

updated: 2025-03-16 @ 08:52pm, id: 140582549 / R_kgDOCGEelQ