https://github.com/5olitude/earthengine-image-downloader

A fast way to download satellite images by defining the location from google-earth-engine
https://github.com/5olitude/earthengine-image-downloader

deep-learning googleearthengine maps satellite-imagery

Last synced: about 2 months ago
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A fast way to download satellite images by defining the location from google-earth-engine

• Host: GitHub
• URL: https://github.com/5olitude/earthengine-image-downloader
• Owner: 5olitude
• Created: 2020-02-13T04:06:49.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-09-02T17:22:28.000Z (about 3 years ago)
• Last Synced: 2024-02-14T21:14:36.564Z (7 months ago)
• Topics: deep-learning, googleearthengine, maps, satellite-imagery
• Language: Python
• Homepage:
• Size: 26.4 KB
• Stars: 22
• Watchers: 2
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# earthengine-image-downloader

This script consists of the most suitable way to integrate geopy and google earth-engine in such a way that you can automatically download the

satellite images for training purposes in machine learning .I have tried the google-colab and the normal  terminal preinstalled packages but the task

here is to give the authentication key and its a difficult task in between code execution.So i prefer you to  use anaconda enviornment it will automatically stores the api in cache and it saves time from a user to reauthenticate.

# REQUIREMENTS FOR INSTALLING........

 

 1) INSTALL ANACONDA

    

      https://docs.anaconda.com/anaconda/install/

 

 2) CONFIGURING THE PACKAGES

   * To install this package with conda run one of the following:

   

       conda install -c conda-forge earthengine-api

       

       conda install -c conda-forge/label/gcc7 earthengine-api

       

       conda install -c conda-forge/label/cf201901 earthengine-api

   * Get Credentials

      Before getting credentials its better to try google earth engine is already authenticated so in your conda enviornment type

      

             # earthengine authenticate

3) Testing the API

   * Start a python interpreter from your conda by typing python

             # python 

   * Run the following Python lines one-by-one in python interpreter to print the metadata for a DEM dataset

   

             # import ee

             

             # ee.Initialize()

             

             # print(ee.Image('USGS/SRTMGL1_003').getInfo())

 

 

 

       EUREKA !!!! you have completed the level one :) smile

      

        #  LETS MOVE TO LEVEL 2

                

 1)    Now you require to download some python packages

 

       * GEOPY

       

          Used to convet location into coordinates

          

              # pip install geopy

             

       * PARALLEL SYNC

          

          Used to download files and extract it into your computer

            

              # pip install parallel-sync

       

       * ast and math are preinstalled with python 

        

  # execute the code

     

       # python3 satellite.py

       >>enter the location: (enter a location) 

  

  ignore the warnings and enjoy the downloads and find your file in path defined 

      

  keep coding (: