eoreader VS ieo

Compare eoreader vs ieo and see what are their differences.

eoreader

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way. (by sertit)

ieo

Irish Earth Observation (IEO) remote sensing data processing Python module (by DrGuy)
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eoreader ieo
1 1
255 5
2.0% -
8.9 0.0
9 days ago over 1 year ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

eoreader

Posts with mentions or reviews of eoreader. We have used some of these posts to build our list of alternatives and similar projects.

ieo

Posts with mentions or reviews of ieo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-05.
  • Best Python API for Landsat download?
    2 projects | /r/remotesensing | 5 Sep 2021
    I’ve written one to manage an archive for specific states and countries using Landsat Collection 2 Level 2 data: https://github.com/drguy/ieo. Just be aware that it doesn’t install properly, and I could use some help with setup.oy.

What are some alternatives?

When comparing eoreader and ieo you can also consider the following projects:

biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

sentinel2-cloud-detector - Sentinel Hub Cloud Detector for Sentinel-2 images in Python

usgs_landsat_collection_2_metadata_subsetting_made_easy - Python function that allows you to subset Landsat Collection 2 metadata (by row, path, tier, cloud cover, dates, and mission) and save image IDs in a txt file for later ingestion by M2M Landsat API. Compatible with Landsat 4,5,7,8 Level 1 and Level 2.

s1tbx - The Sentinel-1 Toolbox

landsatlinks - A simple CLI interface to generate urls for Landsat Collection 2 Level 1 product bundles and download them

awesome-spectral-indices - A ready-to-use curated list of Spectral Indices for Remote Sensing applications.