Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.

Overview

google-maps-at-88-mph

The folks maintaining Google Maps regularly update the satellite imagery it serves its users, but outdated versions of the imagery are kept around for a year or two. This Python-based tool automatically crawls its way through these versions, figuring out which provide unique imagery and downloading it for a user-defined (that's you! you get to define things!) area, eventually assembling it in the form of a GIF.

This weekend project is based on ærialbot, a previous weekend project of mine.

Scroll down to learn how to set it up on your machine, or stay up here for some examples.

There's usually two or three different views of any given area available in the "version history", which can yield neat 3D effects (the attributes contain the invocations used to generate them):

For areas of the world that have changed significantly recently, flipping through the imagery versions is almost like a timelapse – consider the port of Beirut before and after the 2020 explosion on the left, or the perpetually-over-budget-and-behind-schedule construction of the new Stuttgart central station on the right.

It's also fun to look at airports and center pivot irrigation fields through the lens this tool provides:

Because Google regularly removes the oldest available versions, all of this is rather ephemeral – a year from now (which, at the time of writing, was July 2021), the invocations of this tool that have created the GIFs above may yield totally different results. Longer-term timelapses of the surface of our planet can be found on Google Earth Timelapse (or through @earthacrosstime, another weekend project of mine, namely a Twitter bot that posts randomly selected timelapses off it), but what's available there doesn't reach the high resolution of Google Maps.

Setup

Being a good Python 3 citizen, this tool integrates with venv to avoid dependency hell. (Although it only requires the Pillow and requests packages.) Run the following commands to get it installed on your system:

$ git clone https://github.com/doersino/google-maps-at-88-mph
$ python3 -m venv google-maps-at-88-mph
$ cd google-maps-at-88-mph
$ source bin/activate
$ pip3 install -r requirements.txt

(To deactivate the virtual environment, run deactivate.)

Usage

Once you've set everything up, run the following command:

$ python3 googlemapsat88mph.py --help

That'll wax poetic about the available command-line flags and arguments. Importantly, there are three positional arguments, i.e., you've got to set these:

  1. The latitude-longitude pair you're interested in, along with
  2. how wide (east-west extent) and...
  3. ...how tall (north-south extent, both in meters) the downloaded area should be.

Along with those three, you need to supply a value for at least one of the -m, -w, and -h flags – the --help output explains them in detail.

For example, the following invocation will create the first of the GIFs embedded above, showing the White House:

$ python3 googlemapsat88mph.py 38.900068,-77.036555 1000 1000 -w 500

That's basically it! For your viewing pleasure, here's a video of the CLI in action, first scrolling through the --help output, then executing the command from above:

cli.mp4

FAQ

Why the name?

Because when this baby hits 88 miles per hour, you're gonna see some serious shit.

Why did you make this tool?

I became aware of how Google Maps versions its imagery as a side-effect of building and maintaining ærialbot. Figuring out a way to explore past imagery seemed super interesting – note that initially, I wasn't sure how far back the available imagery would go. Finding out that it's only about a year was a bit of a letdown, but there's still some gems to be found either way. The ephemerality aspect also appeals to me.

Does this violate Google's terms of use?

Probably. I haven't checked. But they haven't banned my IP for downloading tens of thousands of map tiles during development and testing (of ærialbot and this), so you're probably good as long as you don't use this tool for downloading a centimeter-scale map of your country. What's more, I can't think of a way in which this tool competes with or keeps revenue from any of Google's products. (And it's always worth keeping in mind that Google is an incredibly profitable company that earns the bulk of its income via folks like you just going about their days surfing the ad-filled web.)

Something is broken – can you fix it?

Possibly. Please feel free to file an issue – I'll be sure to take a look!

Owner
Noah Doersing
Frequently web stuff, sometimes weird experiments, occasionally artsy things, almost always code.
Noah Doersing
Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below

Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below

Apoorva Lal 5 May 18, 2022
Open GeoJSON data on geojson.io

geojsonio.py Open GeoJSON data on geojson.io from Python. geojsonio.py also contains a command line utility that is a Python port of geojsonio-cli. Us

Jacob Wasserman 114 Dec 21, 2022
Python renderer for OpenStreetMap with custom icons intended to display as many map features as possible

Map Machine project consists of Python OpenStreetMap renderer: SVG map generation, SVG and PNG tile generation, Röntgen icon set: unique CC-BY 4.0 map

Sergey Vartanov 0 Dec 18, 2022
Python library to decrypt Airtag reports, as well as a InfluxDB/Grafana self-hosted dashboard example

Openhaystack-python This python daemon will allow you to gather your Openhaystack-based airtag reports and display them on a Grafana dashboard. You ca

Bezmenov Denys 19 Jan 03, 2023
h3-js provides a JavaScript version of H3, a hexagon-based geospatial indexing system.

h3-js The h3-js library provides a pure-JavaScript version of the H3 Core Library, a hexagon-based geographic grid system. It can be used either in No

Uber Open Source 648 Jan 07, 2023
Tile Map Service and OGC Tiles API for QGIS Server

Tiles API Add tiles API to QGIS Server Tiles Map Service API OGC Tiles API Tile Map Service API - TMS The TMS API provides these URLs: /tms/? to get i

3Liz 6 Dec 01, 2021
A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:

Terracotta is a pure Python tile server that runs as a WSGI app on a dedicated webserver or as a serverless app on AWS Lambda. It is built on a modern

DHI GRAS 531 Dec 28, 2022
EOReader is a multi-satellite reader allowing you to open optical and SAR data.

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and index.

ICube-SERTIT 152 Dec 30, 2022
Python tools for geographic data

GeoPandas Python tools for geographic data Introduction GeoPandas is a project to add support for geographic data to pandas objects. It currently impl

GeoPandas 3.5k Jan 03, 2023
PyTorch implementation of ''Background Activation Suppression for Weakly Supervised Object Localization''.

Background Activation Suppression for Weakly Supervised Object Localization PyTorch implementation of ''Background Activation Suppression for Weakly S

34 Dec 27, 2022
gjf: A tool for fixing invalid GeoJSON objects

gjf: A tool for fixing invalid GeoJSON objects The goal of this tool is to make it as easy as possible to fix invalid GeoJSON objects through Python o

Yazeed Almuqwishi 91 Dec 06, 2022
Logging the position of the car on an sdcard

audi-mmi-3g-gps-logging Logging the position of the car on an sdcard, startup script origin not clear to me, logging setup and time change is what I d

2 May 31, 2022
Geocode rows in a SQLite database table

Geocode rows in a SQLite database table

Chris Amico 225 Dec 08, 2022
Asynchronous Client for the worlds fastest in-memory geo-database Tile38

This is an asynchonous Python client for Tile38 that allows for fast and easy interaction with the worlds fastest in-memory geodatabase Tile38.

Ben 53 Dec 29, 2022
Daily social mapping project in November 2021. Maps made using PyGMT whenever possible.

Daily social mapping project in November 2021. Maps made using PyGMT whenever possible.

Wei Ji 20 Nov 24, 2022
Cloud Optimized GeoTIFF creation and validation plugin for rasterio

rio-cogeo Cloud Optimized GeoTIFF (COG) creation and validation plugin for Rasterio. Documentation: https://cogeotiff.github.io/rio-cogeo/ Source Code

216 Dec 31, 2022
🌐 Local tile server for viewing geospatial raster files with ipyleaflet

🌐 Local Tile Server for Geospatial Rasters Need to visualize a rather large raster (gigabytes) you have locally? This is for you. A Flask application

Bane Sullivan 192 Jan 04, 2023
Water Detect Algorithm

WaterDetect Synopsis WaterDetect is an end-to-end algorithm to generate open water cover mask, specially conceived for L2A Sentinel 2 imagery from MAJ

142 Dec 30, 2022
Simple, concise geographical visualization in Python

Geographic visualizations for HoloViews. Build Status Coverage Latest dev release Latest release Docs What is it? GeoViews is a Python library that ma

HoloViz 445 Jan 02, 2023
A utility to search, download and process Landsat 8 satellite imagery

Landsat-util Landsat-util is a command line utility that makes it easy to search, download, and process Landsat imagery. Docs For full documentation v

Development Seed 681 Dec 07, 2022