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Notebook for retrieving NDWI anomalies from continuous monitor servic…
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batic authored Sep 22, 2023
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500 changes: 500 additions & 0 deletions GEM-data/gem-NDWI-anomalies.ipynb

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5 changes: 3 additions & 2 deletions GEM-data/gem-datasets.ipynb
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"source": [
"To facilitate easier navigation and clearer overview of data produced and made available within GEM project, we have structured the data collections into several notebooks:\n",
"\n",
"- [Built-up areas use-case](GEM-builtup-usecase.ipynb) contains the following data:\n",
"- [Built-up areas use-case](gem-builtup-usecase.ipynb) contains the following data:\n",
" * Google open buildings raster data over Africa\n",
" * Results of LightGBM regression built-up model \n",
" * Results of LightGBM categorical built-up model\n",
" * Results of several TFCN regression and classification built-up models\n",
"\n",
"- [Map making use-case](GEM-map-making-usecase.ipynb)\n",
"\n",
"- [Continuous monitoring service](gem-NDWI-anomalies.ipynb)\n",
"\n",
"\n",
"Each notebook will show how data collections, pertinent to GEM in general, or some of the GEM use-cases in particularl, can be accessed with GEM processing framework - eo-learn. Some explanation about the collections is also given, so the notebooks represent a self-sufficient and concise documentation about the datasets.\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.15"
"version": "3.11.4"
}
},
"nbformat": 4,
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