collections
Repository with information about openly available collections (by sentinel-hub)
sentinelhub-py
Download and process satellite imagery in Python using Sentinel Hub services. (by sentinel-hub)
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collections | sentinelhub-py | |
---|---|---|
2 | 3 | |
25 | 785 | |
- | 2.2% | |
9.6 | 7.5 | |
7 days ago | 26 days ago | |
JavaScript | Python | |
Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
collections
Posts with mentions or reviews of collections.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-10.
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[OC] here is the vegetation index (NDVI) of Australia in 2019, since you all loved Africa so much!
Accessible for free here
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[OC] Earth in a year (2019 True-Color Sentinel-2 L2A data)
Other info: - More HQ material: https://www.flickr.com/photos/sentinelhub/albums/72157689337129213 - Access the data: https://github.com/sentinel-hub/public-collections/tree/main/collections/sentinel-s2-l2a-mosaic-120
sentinelhub-py
Posts with mentions or reviews of sentinelhub-py.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-27.
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how to find the NDVI index of a define area with python?
To download and process the satelite images this toolkit can help you: https://sentinelhub-py.readthedocs.io/en/latest/
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World Mosaic Time-lapse 2020 [3020 × 1510] [OC]
Overall description of used tools: - python: eo-learn and sentinelhub-py - gdal for GIS related stuff - ray for cluster computing
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[OC] here is the vegetation index (NDVI) of Australia in 2019, since you all loved Africa so much!
Python packages sentinelhub-py and eo-learn
What are some alternatives?
When comparing collections and sentinelhub-py you can also consider the following projects:
eo-learn - Earth observation processing framework for machine learning in Python
earthacrosstime - Mastodon/Twitter bot that posts videos showcasing how random locations in the world have changed since 1984.
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
gramps - Source code for Gramps Genealogical program