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KMarkert / g4g23_python_climate_example.ipynb
Last active October 19, 2024 17:19
g4g23_python_climate_example.ipynb
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KMarkert / ee_stac_crawl.ipynb
Created August 27, 2024 20:11
ee_stac_crawl.ipynb
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{
"description": "Global residential/non-residential landuse classification generated based on spatial distribution and semantic attributes of Points of Interest(POI) data.\n \nPlease refer to the [journal article](https://doi.org/10.1080/17538947.2023.2174607) for technical details about the methodology used to generate the dataset. \n\nSee [Office Website of MapSpace Program](\nhttps://mapspace.ornl.gov) for\nmore details.\n",
"extent": {
"spatial": {
"bbox": [
[
-180,
-90,
180,
90
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KMarkert / ee_in_bq_blog_viz.ipynb
Last active August 18, 2025 10:21
Colab Notebook highlighting how to visualize geospatial data from BigQuery in Colab with Matplotlib
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KMarkert / g4g25_deeplearning_crnn_vfinal.ipynb
Last active August 26, 2025 15:07
g4g25_deeplearning_crnn_vfinal.ipynb
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