Jupyter Notebook remote-sensing

Open-source Jupyter Notebook projects categorized as remote-sensing

Top 6 Jupyter Notebook remote-sensing Projects

  • CoastSat

    Global shoreline mapping tool from satellite imagery

  • Awesome_Satellite_Benchmark_Datasets

    Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • ml4eo-bootcamp-2021

    Machine Learning for Earth Observation Training of Trainers Bootcamp

  • lidar-harmonization

    Code release for Intensity Harmonization for Airborne LiDAR

  • ml-earth-observation-101

    An introduction to applying machine learning to satellite imagery (remote sensing).

  • Project mention: A sneak-peak Jupyter Notebook lesson on machine learning applied to Earth observation | /r/learnmachinelearning | 2023-07-14
  • Earth_Engine_API_Examples

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

What are some of the best open-source remote-sensing projects in Jupyter Notebook? This list will help you:

Project Stars
1 CoastSat 628
2 Awesome_Satellite_Benchmark_Datasets 284
3 ml4eo-bootcamp-2021 87
4 lidar-harmonization 10
5 ml-earth-observation-101 1
6 Earth_Engine_API_Examples 0

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