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.

Date Created 2018-07-11 (6 years ago)

Commits 10 (last one 2 years ago)

Stargazers 59 (0 this week)

Watchers 3 (0 this week)

Forks 32

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Ranking

RepositoryStats indexes 565,279 repositories, of these agr-ayush/Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification is ranked #403,977 (29th percentile) for total stargazers, and #413,827 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #75,902/111,292.

agr-ayush/Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification is also tagged with popular topics, for these it's ranked: python (#16,631/21414), machine-learning (#6,011/7698), time-series-analysis (#107/142)

All Topics

python land-cover tkinter-gui random-forest machine-learning time-series-analysis

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

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updated: 2024-09-14 @ 09:15am, id: 140582549 / R_kgDOCGEelQ