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 6 months ago)

Stargazers 52 (0 this week)

Watchers 2 (0 this week)

Forks 12

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RepositoryStats indexes 564,918 repositories, of these leizhang-geo/CNN-LSTM_for_DSM is ranked #439,037 (22nd percentile) for total stargazers, and #467,289 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #82,794/111,200.

leizhang-geo/CNN-LSTM_for_DSM is also tagged with popular topics, for these it's ranked: deep-learning (#6,713/8170), cnn (#429/524), geospatial (#321/374)

All Topics

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

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

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updated: 2024-08-23 @ 06:23pm, id: 517546820 / R_kgDOHtkjRA