During the weekend of March 25-27, 2011, PLOTS staff – Jeff Warren (Boston), Liz Barry (New York), Shannon Dosemagen (New Orleans), Adam Griffith (Asheville), Mathew Lippincott (Portland), Stewart Long (Oakland) and Sara Wylie (Washington D.C.) – met in New York for the first PLOTS summit. We were able to come together for our first staff meeting due in part to the sponsorship of MITs Center for Future Civic Media.

On Friday, PLOTS was invited to teach one of the Trade School classes at the Whitney Museum of American Art – we were easily identifiable with a Mylar balloon floating in the outside courtyard. Despite the cold temperatures, students came to our Make Your Own Spectrometer class where they created spectrometers with paper tubes, CDs, razor blades and tape. Interested in trying out your own or have ideas on how to improve the design? Check out the spectrometer page on the Public Laboratory website. After making spectrometers, students were able to look at water samples collected from the Gowanus Canal and various puddles of standing water from Central Park. Having just released the online spectral analysis tool, students were then given a demonstration on analyzing samples and the first steps in identifying polycyclic aromatic hydrocarbons (PAHs), as this tool is still in development.

Saturday brought a full day of meetings where, amongst other things, we discussed potential upcoming projects including mapping in Salt Lake, Utah and Lome, Togo and decided on creating a website similar to data.gov for all of the images that have been collected on the Gulf Coast and at other sites. We additionally discussed tool curriculum, research goals, incorporating PLOTS into a nonprofit and some of our retail endeavors in the upcoming months – maps, t-shirts and starter kits for mapping. We also decided on a couple of larger PLOTS community events for the next year. The first is what we are calling a “barn raising” where we pick a site that PLOTS team members have been working at and host a 3-4 day workshop where tools are tested in cooperation with community members and others that can help test and solve problems with each tool in use. Potential sites for the 2011 barn raising include Butte, Montana, Grand Isle, Louisiana, and Wiley’s Last Resort in Kentucky. Also in the works is a PLOTS conference with workshops, roundtables and other small sessions for tool and idea R&D. We are looking at early 2012 to host this first gathering.

On Sunday, we headed to the Gowanus Canal Superfund site, where we have an active aerial mapping project happening in partnership with the Gowanus Canal Conservancy. One of the difficulties that we’ve experienced with the site is that strong and unpredictable springtime winds have given mappers difficulties as balloons are popped on the barbed wire that lines the heavily industrialized canal. Charles A. Stewart from Let’s Fly Kites came to meet Liz Barry and Leif Percifield who lead the project at Gowanus and as an expert kite flyer, brought a couple of his kites to demonstrate. The new kites that we tested had structure and flew well with the rig attached. Liz and Leif decided on a Delta-Box hybrid model to try out during future mappings of the canal.

What should you look for coming out of this weekend? Lots! And we hope that you all will be active contributors going forward! Next online in the coming month – the first printed maps of the Gulf Coast thanks in part to a sponsorship from Development Seed.

Video tutorial by Cesar Harada and Adam Griffith:

_ Instructions :
1. isolate the part that you are interested in using the menu/ image/ adjustment/ replace color. There you want to have a quite fuzzy selection and darken the desired part.
2. after isolating the part you are interested in -black area- apply menu/ image/ adjustment/ threshold
3. use magic wand /untick “contiguous” pixel to select all the black pixels available. Open menu/ window/ histogram/ expanded view. Here you will see how many black pixels are selected. Now you know how many black pixels there is on this image – corresponding the area of wetland from the original UV picture. You can convert the number of pixels into a % (proportions of wetland) or in surface area for quantifying. It is possible to optimize this workflow by creating a script or recording the chain of actions.
Same thread on Public Laboratory

Yesterday we went aerial mapping a landscape that is just about to change radically : restoration of the oyster reef in Mobile Alabama, Dog river mouth – known as Helen Wood Park beach. In two hours from now (2011 January 22 6AM), hundreds of volunteers will come to install a massive oyster reef here. From 8AM today “Volunteers will be deploying approximately 23,000 bags of oyster shells to create new reefs and habitat at the mouth of Dog River” – see them in action here .

Aerial mapping Prof. Dawn McKinney & Prof. Leo Denton of the University of Mobile South Alabama. Thanks to Shannon Dosemagen for organizing the trip.

These are the different reefs and bags of oyster they are installing. 5 non-profit organizations are working together to accomplish this massive landscaping project.

We took about 5000 aerial pictures that I turned into 3 very large resolution maps to make one huge map (at the top of the post):

Download these full resolution maps to your computer as .zip file (27mb). If you want to learn how to make one of these map, check this post.

This time, in addition of aerial photography, I also took ground samples (~250x microscopy), sand, sediment, organic material taken at regular interval. The idea is : if we are able to say what is on the ground – sometimes we may find oil spilled still – we can qualify and quantify what we see on the aerial pictures. We will come back in a few weeks to map again and see the effects of installing an artificial oyster reef here : “before and after”

—
Original blog post : http://cesarharada.posterous.com/mapping-river-dog-mouth-mobile-alabama
date : 20110121@15:41, low-tide.
Location : 30.57562, -88.07847
Mapping for Grassroots Mapping & LA Bucket Brigade.
Photos : Prof. Leo Denton and Prof. Dawn McKinney
Stitching : Cesar Harada
Left at 10:45 – return 20:30
Milleage : start 761963 – end 764803

This post was written by Christopher Johnson, a student at South Alabama University that participated in the Grassroots Mapping project in Alabama.

Hello! My name is Christopher Johnson, and I was one of the University of South Alabama (USA) students to participate in the Grassroots Mapping project in Professor Dawn McKinney‘s Computer Science class. It was a bit weird to go outside and do a project, since our majors are all computer-related, but I think in the long run the class was better for it.

Basically we were broken into teams of around six, each team having at least two of each major: CS, IT, and IS (not our actual majors; we were assigned a major for each third of the course, which we rotated). We had to work in teams to stitch together parts of Dauphin Island using Cartagen, among a few other things essential to the Freshman course.

Most of the technical problems came with Cartagen being down for a short period and unusable pictures – the nice sea breeze can be a difficult adversary. Another difficulty was overcoming the challenges we created ourselves, such as arguments within the group and people not showing up for class.

Overall it was a very good learning experience; I was one of those who went to Dauphin Island (taking the pictures was optional), and we had a lot of fun. I’d definitely do it again, given the opportunity, and I recommend that everybody go out there and try to make a difference. It’s more fun than you think, and you can really make a difference in your community!

A group of students attending Western Carolina University, under the guidance of Adam Griffith, took on the project of mapping the campus using aerial photography in the fall of 2010. The project was initiated because there was concern about the Google Earth images that covered the campus and the surrounding Cullowhee area. Satellites for Google Earth images only pass by every couple weeks and our campus is experiencing lots of change through construction of new buildings and new facilities that Google Earth does not reflect. Also, the images are of extremely poor quality, and unless you are familiar with the campus it is difficult to discern cars and some buildings and small structures.. This is where we come in: our images taken only 1000 feet in the air are of much better quality and clarity than those in Google Earth, and when we complete the project we would love for Google to insert our images into their maps.

Process

The photographs were taken by suspending a camera inside the top of a 2 liter soda bottle and attaching this setup to a 250 gram balloon which was on 1000 feet of string (see materials picture d). We also used the same soda bottle-camera rigging attached to a kite to test which produced better photos (balloon). The balloon was pulled by hand by students on the ground and was navigated around campus, making sure to steer clear of tall buildings, trees, and other high objects that could snag the string. The camera was 14 megapixels and was set on continuous mode so it would take about a picture per second while up in the air. After several flights, we discovered what conditions were most suitable to our endeavor. The best photos were taken when the sun was out with no clouds in the sky. Lights winds were fine, but heavier winds caused the balloon to be jerked around, which would not allow the camera to focus. Advice for other mappers would be that no matter what equipment you use to take your aerial photos, make sure it is sturdy enough to withstand a fall! We experienced a malfunction where the balloon burst while we were pulling it in, and the camera struck pavement roughly. Luckily it survived with little to no damage.

Stitching

When first reviewing the outline of the project, stitching the photos together to form the map seemed like a simple enough task. We found out otherwise. The photos chosen had to be almost completely straight down and in focus on the area being photographed in order for them to be properly stitched together to fit Google Earth. Because the camera was in so much motion while in the air, there were very few pictures that turned out to be completely straight down. Due to this fact, we had to warp several photos when they were stitched and manually force them to mirror Google Earth. Stitching these photos turned out to be the most difficult and time consuming task for the whole project. However, our end product was such an improvement over Google Earth that the effort was worth it. Our photos had about 7cm resolution or 7 cm per pixel, which is a vast difference from Google Earth.

With 2 boats we took this route (see google map) :

I traced this route with my mobile phone Google Nexus One and the fantabulous Open GPS tracker for Android – 4 stars rating!
This is what we could see from the boat, kinda boring :

Soon after I launched a balloon and Hunter a kite out there, kinda exciting :

we captured nice pictures, here 6 details :

These 6 pictures were made using 270 stills… that was a 12 hours work on photoshop since hugin (an open-source photo mosaic software) didnt do the trick – yet :/ Still working on it to automate the process and spend more time sipping mango juice

In addition to what we had a bad GPS trace – my bad, I mean, it is good but I did’nt know where we started taking pictures on that route… Also the GPS time-stamp and the camera time-stamp did not match… So, here is the trick I found:

Ok, so now we have this huge empty map :

That’s another 6 hours work adjusting 700 pics layer by layer on photoshop ; hey, 270 images in 12 hours VS 700 images in 6 hours => see, it is much faster with a support map! We got that :

Don’t forget to put a scale and cardinal orientation + legal mentions.
So, under your eyes that’s a 17000 x 17000 pixel map, made of 970 pictures taken at 1000ft altitude, depicting about 5 linear km of damaged coastline. Combining the 6 details views and the general map we could observe that the south side was much more exposed to the spill (more dark brown brrrrr). Using this map we could also establish that on the exposed side, even the inland waterways are strongly affected by the spill : we can use these maps to quantify the surface affected by the oil spill, and the mass of crude attached to the surface coastline. Now even cooler, you can see these maps on google earth, download the KMZ file here (dont worry it is a tiny file – all the content is online). FLY !

Apart from mapping this catastrophe – which is very useful for scientific study and for lawsuits against BP- why am I personally learning aerial photography? Well, because I am currently designing an oil collecting robot called “protei“.

Protei is a sailing semi-autonomous robot with a long oil absorbing tail. Surface oil drifts downwind, so Protei sails upwind, taking and taking, intercepting oil sheens. Imagine many many of these cheap machines out there in the ocean collecting oil

After some research …

I built a steampunk test machine that is pretty promising with a flexible hull front-steering :

We are also testing at sea the behavior of a long tail, and same, going pretty well …

See these little balloons on the surface of the water? And this is when aerial photography comes handy : to evaluate the efficiency and behavior of Protei, seeing everything from above helps a lot, I can see the trajectory, the movement of the tail, the interaction with oil.  Also having a highly visible “flying flag” in the sky is amazing to optimize safety and long range communication (flying antenna)… Exciting no? And the challenge is here, millions of liters of crude oil gushing in the Gulf of Mexico, in the Niger Delta, in Latin America, the middle east, in Asia… Protei_Oil_Spill has a busy future!

Of course, just like grassroots mapping, Protei is developed open-source and collaboratively, so I hope that sometimes soon, Protei will come back to land with a lot of amazing pictures for LA Bucket Brigade and its amazing oil  spill map, GrassrootMapping, Cartagen and Open_Sailing! I received most electronic parts for the next prototype of Protei_Oil_Spill this morning (YAY!), I am building in New Orleans, so if you are around, or if you want to help the project remotely, do get in touch – cesar@protei.org – thanks!

(Cross-blogged with Unterbahn.com)

The day after working with landowners and activists in Umm Salamuna in the West Bank, we stopped by to visit Alice Gray, who organized the protest. She runs a permaculture farm project in Bethlehem called Bustan Qaraaqa, and was interested in mapping the farm periodically to monitor growth and erosion. She was quite excited about the kite concept so we thought we’d give it a try.

The attempt was somewhat frustrating – while the day before we had over 30mph winds, at the farm we had the opposite problem: very little wind. BQ is located in a sharp valley where it’s hard to get a view from above (see picture) but we finally managed to loft a small parafoil kite (thanks Nadya!) with an iPod nano attached. We let it out about 500 feet, but the kite flew at a very low angle, and in the wrong direction. In the end we got a reasonable image of the other side of the valley, which we’ll try to rectify as a proof of concept.

We’re using VLC to review frames manually, saving the clearest ones as PNG images. Then we use hugin with the SIFT algorithm to auto-stitch the video frames together. This is a bit involved and if we continue using video we may want to make a web interface to do this automatically. As in: point it at a YouTube video and it generates a panorama as well as it can and opens it in Map Warper. As it turned out, the hilly terrain proved too much to successfully warp this capture into a usable map; see the final product. What we need is a much higher point of view, if there are going to be any hills. Luckily some of the kites I bought in San Juan last week are ideal for this – and they fly much more vertically so we won’t have to worry about being as far upwind of the target site.

These two days definitely show the ‘worst case scenario’ for this kind of mapping… super high and low winds, steep valleys and ridges, low-res video and time limitations. Anyways the best part of the day was when two Palestinian kids and their dad came out to see who the idiots were who couldn’t fly a kite… and helped us get one in the air:

Coming soon – our last day of mapping in the middle east was at the Royal Scientific Society of Jordan, where we captured some absolutely fantastic images under some of the best conditions we’ve seen so far.

The wind was so strong that our first kite, carefully made that morning from dowels and Tyvek, shattered immediately. Instead, we launched a small soft kite with an iPod nano attached to it. Here’s a stitched image of the video footage we captured:

See all the pictures on Flickr.

The iPod has an SD camera which can capture many hours of video – and it’s so super light that we can fly it on a pocket kite. Many of the frames are blurred and the resolution is pretty poor (we’d thought of using a Flip camera but they’re more expensive and heavier) but when you go through the footage frame by frame you can find lots of good images. We then stitched these together with Calico and got the above image. It helped a lot to put a small ‘sail’ on the back of the iPod so it didn’t spin as much.

Everyone was cold but once we started flying the kites we all got really excited. The owner of the land was there with his kids and they helped assemble the rig and fly the kite:

The mapping was a big success – everyone ‘got’ why we were doing it, that documenting the tree planting and how they’re changing the landscape is a form of testimony. We’re still working to rectify the imagery, and I’d like to ask folks if they have any ideas – the stitching software we’re using assumes images were taken from a single viewpoint, but the kite and camera were moving all over the place. As you can see above, the stitching distorts things and we lose a lot of detail – how can we reconstruct a high-res image that assumes multiple perspectives? I’m looking at this tutorial to start with. We’re also thinking about an algorithm to dump the clear, undistorted and unblurred frames from a movie file. Ideas?

Cross-posted with Unterbahn.com