https://github.com/almcnall/ethiopia-lcluc-tensorflow
Ethiopia LCLUC using Deep Learning
Science Score: 10.0%
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Low similarity (3.7%) to scientific vocabulary
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Ethiopia LCLUC using Deep Learning
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# Ethiopia LCLUC Ethiopia LCLUC using WorldView imagery [](https://zenodo.org/badge/latestdoi/527702332) ## Objectives - LCLUC utilizing random forest algorithm - LCLUC utilizing XGBoost algorithm - LCLUC utilizing CNN algorithm ## Data Catalog - Project Location: /explore/nobackup/projects/ilab/projects/Ethiopia/LCLUC_Ethiopia - Full Domain Data Location: /adapt/nobackup/people/mwooten3/Ethiopia_Woubet/VHR - Gonji Subset Data Location: /adapt/nobackup/people/walemu/NASA_NPP/CRPld_Map_Pred_and_Forec/EVHR/Gonji_Subset/5-toas ## Container ```bash module load singularity singularity build --sandbox nccs-lcluc docker://gitlab.nccs.nasa.gov:5050/nccs-lcluc/alaska-lcluc/nccs-lcluc ``` ## Using the container ```bash singularity shell -B /att,/lscratch/jacaraba:/tmp --nv nccs-lcluc source activate rapids ``` singularity shell --nv -B /lscratch,/explore/nobackup/projects/ilab,/explore/nobackup/projects/3sl,/explore/nobackup/people /lscratch/jacaraba/container/tensorflow-caney export PYTHONPATH="/explore/nobackup/people/jacaraba/development/tensorflow-caney:/explore/nobackup/people/jacaraba/development/ethiopia_lcluc_tensorflow"
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- Profile: https://github.com/almcnall
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