landsat8image VS aionasa

Compare landsat8image vs aionasa and see what are their differences.

landsat8image

A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line. (by v0di)
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landsat8image aionasa
1 1
45 7
- -
0.0 0.0
about 2 years ago over 1 year ago
Python Python
MIT License MIT License
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landsat8image

Posts with mentions or reviews of landsat8image. We have used some of these posts to build our list of alternatives and similar projects.

aionasa

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

What are some alternatives?

When comparing landsat8image and aionasa you can also consider the following projects:

pylandtemp - Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

mega.py - Python library for the https://mega.nz/ API.

pyrgg - 🔧 Python Random Graph Generator

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

aiobungie - Python and asyncio Bungie API wrapper.

Shreddit - A fork of x89's Reddit post/comment mass deletion program, which they stopped updating.

Space-catalog - space catalog is a hobby application related to my hobby which is space. It is in phase 2.0, it does not have all the functionalities. Creating window applications is not my main topic, but I would like to develop this app in my spare time.

google-images-download - Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

textshot - Python tool for grabbing text via screenshot

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

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.