🟢 Beginner-friendly.
🆓 Free with no hidden monetary cost.
🤚🏻 Requires registration so sign-up 👉🏻https://signup.earthengine.google.com/, access via browser and Internet connection
🖥️ Available for Windows, Mac and Linux.
If you're down the rabbit hole with the how-to documents on #googleearthengine and still want to find a simple basic code to start with, feel free to check out this 16-minute video I've made for myself to remember some of the syntaxes. There's no better way to understand it than doing it yourself so, I've also included links to the script app and code in GitHub 👇🏻
⌨️ Code: https://github.com/hrllscrt/gee/tree/...
🌏 GEE sandbox: https://code.earthengine.google.com/a...
The script demonstrates how to utilize readily available data in the Earth Engine data repository like LSIB 2017 for demarcation and I've taken the liberty to play around with Landsat 9. The code should be applicable for Landsat 8 too, for those who wants to use it to extract data straight away.
Don't be shy to share your questions if you have any and have fun dissecting the data!
🟢 Beginner-friendly.
🆓 Free with no hidden monetary cost.
🤚🏻 Requires registration so sign-up 👉🏻https://signup.earthengine.google.com/, access via browser and Internet connection
🖥️ Available for Windows, Mac and Linux.
Google Earth Engine or lovingly called GEE is another free and open platform provided by Google to provide a very vast and comprehensive collection of earth observation data. Since Sentinel-2 is no longer available for download at USGS Earth Explorer, I find the alternative too challenging for me so GEE seems like the easiest way to go. If you're looking for a one-stop platform to access satellite imagery for free, GEE is a great place to start. You don't have to learn JavaScript explicitly to start using this tool.
Google Earth Pro is one of the most powerful freely available software one can use for location investigation. If you're a non-tech GIS user who needs to know just enough to get your work going, then let's hit the ground running with this tutorial for starters.
🟢 Beginner-friendly.
🆓 Free with no hidden monetary cost.
🖥️ Available for Windows, Mac and Linux.
Omg I recognized this right away and then sat here thinking, but no, it can’t be, how likely is it that I would encounter a random picture from this particular museum? But it IS.
I used to work there! There’s an upper floor to the right of the whale skeleton and I would walk by it on my way to one of the labs in the morning!
The setting is: Below the Whale Skeleton
Short story:
Searching through Google Earth a few years back at the other planets that have satellite images. Found were strange shapes and spots on several of the planets. Some were easily explainable with minimal research. Others were very similar is shape to manmade structures. Some were extremely large in size. Some have established conspiracies surrounding them already. It was incredible viewing the high resolution images available compared to when I was a child. However, let’s just keep the story simple by saying my partner and I just didn’t feel right about of some of these planetary features.
A few weeks or months pass and some article leads us back to Google Earth for some landmark on our planet so we decide to check up on the other planets so-to-say. When we re-examine the other planets, we were shocked to find Mars has chanted completely.
What was originally a decent image of Mars when we had looked at it was now a poorly cropped together selection of previous photos ranging in age. It was obviously different sections and each strange formation or spot of the planet was now in sections of photograph that had the poorest image quality.
Moral of my story, Google Earth is hiding something and what the fuck is happening on Mars?