The app is here: cc.olab.io

The app is here: cc.olab.io
Here are a few screenshots:

You can claim a location on the latitude/longitude grid created for each location. To do that you need to login – and the app should remember you whenever you come back.
You can also just upload the picture from wherever you are – without logging in. To do this click on the icon that represents your location – the gray one.

IMG_6520

IMG_6521

IMG_6527

Manual tests

We did a test in Brooklyn to see how far people need to be spread apart for the pictures to still overlap. We started in a tighter grid, took a pictures simultaneously, then moved out from the center, following the stops as below. We had a very low cloud ceiling, but still a lot of overlap in our images.

pictureSkyTest

Each time, we faced North, positioned the phone parallel to the sky, and took two pictures, one vertical, one horizontal.

picturesSky_test1

.1, .15, .25 and .4 miles apart:

round2

round3

round4

round5

And the results of the second test in Chicago:

Screenshot 2015-03-26 22.15.57

pictureSky_chicago

Saturday August 16 | 11:59

The Cloud Observation workshop starts at 11 at Agora.

In this workshop we learn how to do a ground truth observation and we take a crowdsourced image of the clouds.In the first part of the workshop we will school ourselves in the art of the observer – of extracting the essential from the accidental. We learn to tune our sensory apparatus to the nuances of the clouds and what they can tell us about climate, environment and ourselves.
In he second part of the workshop we position ourselves at GPS coordinates that form the points of a large grid. At the moment when an atmosphere-observing satellite is flying over our geolocation and taking a picture, we take photographs looking directly up. Our photographs are stitched together to form a single large image, opposite to the one taken by the satellite.In effect we create a very large sensor, a very large eye looking outwards. Each cell in this sensor array is an individual human, with human effort powering the infrastructure of our technology.
This image of the clouds is compared to the one taken by a satellite, and the two images (clouds from both sides) represent the two ways of knowing: a scientific narrative, and a human experience narrative. This exploration of perspectives is motivated by an interest in how we create ideologies and is based on the practice of collecting ‘ground truth’ and comparing data gathered at a distance to what is there in reality.