geemap
ieo
Our great sponsors
| geemap | ieo | |
|---|---|---|
| 17 | 1 | |
| 3,196 | 5 | |
| 2.9% | - | |
| 9.2 | 0.0 | |
| 9 days ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
geemap
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I'm a senior in my CS major and it's incredible I didn't hear about GIS projects until now. Glad to be here.
Try out Google Earth Engine and browse through it's catalogue to get a feel for what's available. GEE allows you to work with global datasets and immediately see a preview of the results (there's also geemap if you prefer doing this from a Python notebook instead of the online JS editor)
- Getting started with Google Earth Engine
- I'm building an IDE and open source library to make it easier to work with geospatial data using Python
- Opinion on Earth Engine or Planetary Computer?
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Confusion Matrix using Google Earth Engine Python API
Suggest using the ML module from geemap https://geemap.org/ Iv had a lot of success with that library.
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Does anyone use Google Earth Engine?
Check our Jupyter notebook GEEMAP package it's awesome! https://geemap.org/ Just last month Google opened up Google Earth Engine for commerical use. as Microsoft has Planetary Computer now.
- Google Earth Engine Tutorials
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Creating a timelapse of an area with satellite data
This Jupyter notebook package is great for working with Google Earth Engine and does timelapse https://geemap.org/
- Remote sensing class that uses Google Earth Engine worth taking?
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Software suggestion?
Good place to start is: https://geemap.org/
ieo
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Best Python API for Landsat download?
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?
streamlit - Streamlit — A faster way to build and share data apps.
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.
opentopodata - Open alternative to the Google Elevation API!
landsatlinks - A simple CLI interface to generate urls for Landsat Collection 2 Level 1 product bundles and download them
wxee - A Python interface between Earth Engine and xarray for processing time series data
awesome-spectral-indices - A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
streamlit-geospatial - A multi-page streamlit app for geospatial
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.
Awesome-GEE - A curated list of Google Earth Engine resources
flood-sim - This repo simulates water flooding.
dsm2dtm - Generates DTM (Digital Terrain Model) from DSM (Digital Surface Model).