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GitHub / 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"

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leizhang-geo%2FCNN-LSTM_for_DSM
PURL: pkg:github/leizhang-geo/CNN-LSTM_for_DSM

Stars: 38
Forks: 8
Open issues: 0

License: None
Language: Python
Size: 3.97 MB
Dependencies parsed at: Pending

Created at: about 3 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Commit Stats

Commits: 20
Authors: 2
Mean commits per author: 10.0
Development Distribution Score: 0.35
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/leizhang-geo/CNN-LSTM_for_DSM

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

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