leizhang-geo / CNN-LSTM_for_DSM

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

Date Created 2022-07-25 (2 years ago)

Commits 22 (last one 9 months ago)

Stargazers 54 (0 this week)

Watchers 2 (0 this week)

Forks 13

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these leizhang-geo/CNN-LSTM_for_DSM is ranked #446,061 (25th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #85,417/119,431.

leizhang-geo/CNN-LSTM_for_DSM is also tagged with popular topics, for these it's ranked: deep-learning (#6,825/8512), cnn (#436/556), geospatial (#325/384)

All Topics

cnn lstm soil geospatial pedometrics deep-learning geostatistics predictive-mapping soil-organic-carbon digital-soil-mapping

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

22 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

No issues have been posted

Languages

The only known language in this repository is Python

updated: 2024-11-12 @ 10:04pm, id: 517546820 / R_kgDOHtkjRA