# \[CubeSats Online Summer 2020\] Making Prompt 1: Satellite Imagery Stories **URL:** \ **Category:** CubeSats 🛰\ **Created:** [July 17, 2020, 2:51pm UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52 "2020-07-17T14:51:19Z")\ **Posts on this page:** 9\ **Page:** 1
**Author:** ![katherine](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/katherine/32/15_2.png) [@katherine](https://heyplix.mit.edu/u/katherine)\ **Post date:** [July 17, 2020, 2:51pm UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/1 "2020-07-17T14:51:19Z")
For this short activity, we’d like you to **use satellite images to tell a geography-based story**! 1. Select one of the satellite imagery databases or tools from the list below. 2. Use the tool to identify a region of interest (maybe your hometown, library location, or favorite vacation spot) 3. Take screenshots of your region of interest at **two different timepoints** and see how it has changed over time! 4. Reply to this thread with your images, and add some comments to tell your story! You’ll also find some example stories from the PLIX team below. _Feel free to get creative!_ **Open-Source Satellite Data** _Select one of these datasets or tools to find images of your community!_ - [Google Earth Engine Timelapse](https://earthengine.google.com/timelapse/) - [Global Forest Change Maps](https://earthenginepartners.appspot.com/google.com/science-2013-global-forest?hl=en&llbox=80.9%2C-62.3%2C-169.6%2C-169.6&t=ROADMAP&layers=2%2Clayer4%2Clayer0%2C11%2C12) (_Note that this tool includes multiple years per filter; so you could choose to do multiple different filters or one filter at different locations!_) - [USGS Earth Explorer](https://earthexplorer.usgs.gov/) - [Open Aerial Map](https://map.openaerialmap.org/#/-18.720703125,18.47960905583197,3?_k=kwpl24) - [NASA Infrared Wavelengths Datasets](https://catalog.data.gov/dataset?tags=infrared-wavelengths) - [USGS GloVis](https://glovis.usgs.gov/app?fullscreen=1) These are just a few examples to get started with. If you find or know of other tools, feel free to use those! * * * This _Making Prompt_ is part of the **PLIX CubeSats Online** 🛰 workshop series. You can find more information and links to sign-up in the linked thread below ⬇ > [@CubeSats Online Workshops -- July/August 2020](https://heyplix.mit.edu/t/cubesats-online-workshops-july-august-2020/28): > > PLIX CubeSats Online satellite3-week mini online course starting week of July 20, 2020 Group calls on Wednesdays from 12:00-1:00PM EDT Over the course of three weeks, we’ll cover a series of activities from our [PLIX CubeSat Activity Series](https://plix.media.mit.edu/activities/cubesats) for public library patrons to learn about space environments and how they can be characterized with small spacecrafts. If you’d like to attend, [please RSVP](https://forms.gle/KVjHNPxyPoqaYutv9)! And please let us know if you have any questions in the thread below. You can find more info abo… ---
**Author:** ![Lydia](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/lydia/32/14_2.png) [@Lydia](https://heyplix.mit.edu/u/Lydia)\ **Post date:** [July 17, 2020, 3:06pm UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/2 "2020-07-17T15:06:28Z")
I looked through [Global Forest Change Maps](https://earthenginepartners.appspot.com/google.com/science-2013-global-forest?hl=en&llbox=80.9%2C-62.3%2C-169.6%2C-169.6&t=ROADMAP&layers=2%2Clayer4%2Clayer0%2C11%2C12). This shows forest loss, extent, and gain on the coast of Massachusetts. The red shows forest degradation since 2000. **2019** ![Screen Shot 2020-07-15 at 2.55.08 PM](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/b721a1bfdbb685232e3b2ddf01b140a453a11d2a.jpeg) **2020** ![Screen Shot 2020-07-15 at 2.55.31 PM](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/049bca9abaf6840ea5f6492c58d4aab15b9aa37f.jpeg) PS: When I was putting my screenshots in this post, the preview made them look cropped, but it looks normal now that it’s posted. 😊 ---
**Author:** ![averymsnormandin](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/averymsnormandin/32/20_2.png) [@averymsnormandin](https://heyplix.mit.edu/u/averymsnormandin)\ **Post date:** [July 17, 2020, 3:19pm UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/3 "2020-07-17T15:19:35Z")
Hi, all! I explored the capability of using [Google Earth Pro](https://www.google.com/earth/versions/) for tracking urban development in Rye, New Hampshire. Here’s what I found : ) **1992 April** ![Screen Shot 2020-07-17 at 11.18.26 AM](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/11768e3d0fc28b4fba63061e1966cfb559a60402.jpeg) **2018 May** ![Screen Shot 2020-07-17 at 11.18.34 AM](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/37db44c69afcc7ae91a8267370827d2c71fa3317.jpeg) I was interested to see how much housing had been developed along the coastline, and noticed that several homes had been built in a high flood-risk/coastal erosion area. I am curious as to how satellite imagery will be used more and more to make decisions where to expand cities in the future! ---
**Author:** ![aaffinito](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/aaffinito/32/63_2.png) [@aaffinito](https://heyplix.mit.edu/u/aaffinito)\ **Post date:** [July 20, 2020, 6:18pm UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/4 "2020-07-20T18:18:08Z")
I looked at Urban development in Amman Jordan, where I lived from 2012-2013. It’s amazing to see the expansion of the city into the desert landscape after just 30 or so years! ![Amman 1984](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/c76c209e95d9b0f9f8ebabde22effe8273d1e428.jpeg) ![Amman 2018](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/37fb81ec53e8a4aa25059db042adab8853b9de26.jpeg) It was also interesting to note the way the quality of the image resolution changed over time, marking what I’m guessing is increased capacity in the satellites. ---
**Author:** ![Audrey\_Snowden](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/audrey_snowden/32/66_2.png) [@Audrey\_Snowden](https://heyplix.mit.edu/u/Audrey_Snowden)\ **Post date:** [July 20, 2020, 9:26pm UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/5 "2020-07-20T21:26:47Z")
With Google Engine Earth Timelapse, I looked at the UNESCO World Heritage city of Santiago de Queretaro in Queretaro, Mexico. The amount of development between 1984 and 2018 is staggering! What stood out to me was the green in the 2018 shot–what are those planned green spaces? ![Untitled design (2)](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/0d4f090e0f2178db2df9d0b7531f156dc270e38b.jpeg) ---
**Author:** ![katherine](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/katherine/32/15_2.png) [@katherine](https://heyplix.mit.edu/u/katherine)\ **Post date:** [July 21, 2020, 8:17pm UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/6 "2020-07-21T20:17:19Z")
I took a look at Chicago using the USGS Earth Explorer! This first image was taken from LandSat 7 in 2011 --\> ![chicago-landsat7-2011](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/051c5a87cd4f6d0d0739c33871df8225e917eab5.png) Then, my second image was taken from LandSat 8 in 2020–\> ![chicago-landsat8-2020](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/d17461b3849943b50f13fbd4ea3795b40797c047.jpeg) Like @aaffinito, I also noticed the way that image resolution improved over time – presumably from technological advances! pretty cool stuff 🕶 ---
**Author:** ![Eva](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/eva/32/62_2.png) [@Eva](https://heyplix.mit.edu/u/Eva)\ **Post date:** [July 22, 2020, 1:45am UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/7 "2020-07-22T01:45:47Z")
I used Google Engine Earth Timelapse to explore the construction of the new eastern span replacement of the San Francisco-Oakland Bay Bridge. Although the construction started in 2002 and was completed in 2013, I only noticed changes in the images starting in 2004. ![Bay Bridge Construction 2004](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/2209199dc913727aabf09f82fabf6758f9253c79.jpeg) Here is the completed segment in 2013: ![Bay Bridge Construction 2013](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/d66d6fddac3573ef450084c6a88b31bd3e4b610a.jpeg) You can see that the old bridge section is still attached. And 2017 with the old section removed: ![Bay Bridge Construction 2017](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/1d5cb24f044d51e777f54fad6c1ebd5cea55bd7a.jpeg) So fascinating. I am now curious to learn more about the building process and the long-term impact the new span will have on the Bay Area. ---
**Author:** ![Tienya\_Smith](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/tienya_smith/32/73_2.png) [@Tienya\_Smith](https://heyplix.mit.edu/u/Tienya_Smith)\ **Post date:** [July 22, 2020, 3:02am UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/8 "2020-07-22T03:02:15Z")
I used Google Earth Engine Timelapse to examine urban development on Roosevelt Island (Manhattan) and Vernon Blvd. (Queens). Both communities run along the East River in New York City near ConEdison’s Training Facility. This was also the area where Amazon planned to build HQ2 NYC. _1984_ ![image](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/bc8265c353c965b70c4d9eeba42002b678c15b6f.jpeg) _2018_ ![image](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/75b1838b2e6b824b5415d48f7384ab7afb745919.jpeg) ---
**Author:** ![Dave](https://yyz2.discourse-cdn.com/flex036/user_avatar/heyplix.mit.edu/dave/32/60_2.png) [@Dave](https://heyplix.mit.edu/u/Dave)\ **Post date:** [July 22, 2020, 5:06am UTC](https://heyplix.mit.edu/t/cubesats-online-summer-2020-making-prompt-1-satellite-imagery-stories/52/9 "2020-07-22T05:06:33Z")
I used Google Earth Engine Timelapse to view the rising water level of Lake Michigan from 2008 to 2018. This year, Lake Michigan is near record high levels which has caused severe erosion along the shoreline in my town and neighboring communities in northwest Indiana. I also marked the location of my library. **2008 Lake Michigan Shoreline in Michigan City, IN** ![2008 Lake Michigan](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/43b093a65bd3a4a0ff927e6c1daebf354059dd90.jpeg) **2018 Lake Michigan Shoreline in Michigan City, IN** ![2018 Lake w Library.PNG](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/b82bc57ac6f102cb7d65599de2825455641947e2.jpeg) **Lake Michigan Shoreline Timelapse** ![Lake Michigan 2008 2018](https://canada1.discourse-cdn.com/flex036/uploads/mit2/original/1X/bff0fc357600048be7cc0a350361fdb5f055ae6b.gif)