Andrew Johnson - Report on Pi Tracker Air Traffic/Chemtrail Monitoring Project Apr/May 2014

Here are the details of Andrew Johnson's extensive report based on data gathered from his Pi Tracker Air Traffic/Chemtrail Monitoring Project:

A Systematic Attempt to Measure Air Traffic Levels and Count Persistent Jet Trails/Chemtrails Using a Raspberry Pi-Based Computer Network

"After about 9-10 months of running 1 or more "trackers", I have compiled this report to explain what was done and what the results, so far, were. Please forward to anyone who is interested in the "Chemtrail" Phenomenon. All constructive criticism will be gratefully received and reviewed (including spelling/wording corrections)! I encourage you to repost this message and the links below on forums and on Facebook. I have pasted my "Abstract" and Conclusions below - and the rest can be read in the report (over 50 pages, but quite a few pictures and tables).
Web Version: http://tinyurl.com/airtraffrep1
PDF Version: http://tinyurl.com/airtraffrep1pdf
I will be following this up with a YouTube video version of this report, where I will edit it the time-lapse videos that I refer to. If you want to look at those, they are posted on this page: http://www.checktheevidence.com/video/index.php?dir=PiTrackerTL/
Thanks for reading!
Andrew Johnson (UK)"

Abstract
This research used a collection of software and hardware to receive and decode ADS-B messages from aircraft as well as photograph the sky at 1-minute intervals. The software ran on several Raspberry Pi computers stationed at up to 6 different locations in the UK . The objective was to count the number of aircraft detected at a given location and compare these counts, both on an hourly and a daily basis, when the skies were clear enough to have seen persistent jet trails or “chemtrails”. Time-stamped time-lapse videos were generated for images taken between sunrise and sunset each day. These were inspected to count the number of trails observed in each 30-min period of daylight. Trail counts and aircraft counts were collated into a Microsoft Access Database. SQL Queries were then developed to allow comparison of aircraft counts during periods when trails were observed and clear periods when no trails were observed.

Conclusions
Detected Air Traffic Levels and Trailing
From all the data gathered so far, it seems there is no large difference in “ADS-B detectable” aircraft on days of high trailing than there are on days of no trailing. The data here does not establish a clear link between levels of aircraft and levels of trailing. Looking at some figures in isolation, it could be argued that there is a lower amount of aircraft on days of trailing. This result, therefore would tend to disprove a general statement that trailing is seen because of increased levels of air traffic – if that is the case, then it is air traffic which is not detectable in the same way as “regular” air traffic.

Perhaps a better detector is needed, although this is unlikely – as a range of 20 miles should be sufficient to “detect planes and see trails” with this sort of equipment. For example, if one examines the charts, most of them have an unbroken line of travel for the planes, which means enough of the messages were picked up, while the plane was in range, to plot the path of the plane.

Identification of Flights Leaving Trails and Formation of Grids
It was sometimes quite difficult to identify which flights left trails – perhaps because only a maximum of about 50% of the flights could have their latitude and longitude decoded. Without this information, it was impossible to know if the flight was precisely overhead, or whether it was 100 miles away. The “percentage located” figure showed no appreciable variation between days of trailing and no trailing.

The study from 25 Nov 2013 of the WA6 tracker shows that it is was not possible, using ADS-B data, to identify all of the flights which made the grids. Though, looking at some of the charts, the potential for grids to form can be seen, these were not seen “in the right place” and not enough flights were detected to prove, from this data, that civilian air traffic is responsible for forming these grids. So they remain a mystery.

A study of data from the DE72 tracker seemed also to show that flights that were travelling in a NorthóSouth Direction were rarely seen on charts – and if they were, it was over the far west of Derby – about 20 miles from where the tracker was sighted. Further attempts at identifying “trailing flights” could be undertaken, even with the existing data.

Days of Trails or No Trails?
No obvious reason could be observed why trails were seen on some days and not others. Again, taking the 25 Nov 2013 time-lapse video, it can easily be seen that there are persistent and non-persistent trails appearing in the same periods of time and the same part of the sky. So this remains unexplained.

Weather Anomalies
The tracker with the best view did seem to observe some kind of weather anomalies on some days – why would cloud formations remain in the same place above the ground, whilst “other weather” drifts past? Why would this happen the clouds both at lower and higher altitudes? What is the cause of linear weather fronts?

Announcing "PiSkyTracker"

Andrew Johnson has put together this brilliant kit for monitoring air traffic, specifically in relation to the Chemtrail phenomenon. Well worth a look. Here are the details pasted from his YouTube page and the video above gives a demonstration of its effectiveness.

This is to announce the availability of a "kit" to enable people to track and log aircraft flying over their location using a fairly cheap combination of electronics.
Contact ad.johnson@ntlworld.com or go through http://www.checktheevidence.com/

To make effective use of the kit, you will need a PC or Mac for initial set up and an internet connection to make best use of the main features. Following initial set-up, the kit can run autonomously using only a little electricity.
It will work anywhere in the world -- you just need the correct power supply for your country.

Background
For some years now, it has been possible to track aircraft flying over your location using such devices as the AirNav Radarbox and the SBS-1, but these have been quite expensive -- costing as much or more than a Laptop PC, which is needed to view the results.

Also online, sites such as www.FlightRadar24.com, Flight Aware and Virtual Radar offer tracking and aircraft identification features, though can be slow to update and somewhat cumbersome to use. Similarly, there are Android and iPhone Apps which interface to these online services and allow you, for example, to identify flights by holding up your phone in the direction of a plane in the sky. Of course, not everyone has an iPhone or Android phone...

The hardware solutions, like the AirNav box, allow flights to be logged but their logging features are not very flexible. For example, with the AirNav box (2010 version of the software), all the messages received and decoded by the box can be saved to log files -- but in a day, 600,000 messages may be received from all the aircraft that are detected, resulting in large log files, which need to be processed by special software to extract useful information. Additionally, for continuous 24/7 logging, things like the AirNav box "tie up" a PC or laptop which may be needed for other uses.

The Website and Phone App solutions don't have logging features of any great sophistication, so there is something needed to allow this logging and counting of aircraft automatically.
This is where PiSkytracker comes in to the picture.
Main Features
• Automatic Logging of Flights and Flight statistics
• Camera Support to Photograph The Sky every Few minutes
• Automatic Capture of Weather Data
• Comprehensive Plane Charting

Charting parameters can be set so that planes within a certain range are drawn on charts which are created every few minutes or every hour. Charting can be set so that only planes above a certain altitude are tracked on the chart. This therefore logs the paths of aircraft over your location (which is shown in the centre of the chart).
• Spoken Flight Announcements
• Data saved in Standard Formats

All this data is saved on a standard SD Card in formats which can be easily read and How does it Work?

The whole system relies on the fact that many aircraft are now transmitting ADS-B (Automatic Dependent Surveillance -- Broadcast) messages when in flight. These messages contain the following information
• A code number identifying the aircraft
• Flight Number
• Altitude
• Position (Latitude/Longitude)
• Speed
• Heading

(This page has a good explanation: http://planefinder.net/about/ads-b-how-planefinder-works/) The tracker simply receives and decodes these messages -- then software can be used to process the messages in any way desired. For example, you can count the number of aircraft which are detected in a given period, within a certain range and above a certain altitude or between certain altitudes.

If you are interested in getting hold of a kit, let me know. I will also be posting additional information soon. I have more or less finalised the software development, but may tweak a few things. Feedback, comments, ideas welcome!

http://www.checktheevidence.com/pdf/Announcing%20PiSkyTracker.pdf