Leaderboard

The color scheme ranges from green (least subjected to surveillance) through yellow and orange to red (most surveillance). Note the '2007' date in the image relates to the document from which the interactive map derives its top secret classification, not to the map itself. The National Security Agency has developed a powerful tool for recording and analysing where its intelligence comes from, raising questions about its repeated assurances to Congress that it cannot keep track of all the surveillance it performs on American communications. The Guardian has acquired top-secret documents about the NSA datamining tool, called Boundless Informant, that details and even maps by country the voluminous amount of information it collects from computer and telephone networks. The focus of the internal NSA tool is on counting and categorizing the records of communications, known as metadata, rather than the content of an email or instant message. The Boundless Informant documents show the agency collecting almost 3 billion pieces of intelligence from US computer networks over a 30-day period ending in March 2013. One document says it is designed to give NSA officials answers to questions like, "What type of coverage do we have on country X" in "near real-time by asking the SIGINT [signals intelligence] infrastructure." An NSA factsheet about the program, acquired by the Guardian, says: "The tool allows users to select a country on a map and view the metadata volume and select details about the collections against that country." Under the heading "Sample use cases", the factsheet also states the tool shows information including: "How many records (and what type) are collected against a particular country." A snapshot of the Boundless Informant data, contained in a top secret NSA "global heat map" seen by the Guardian, shows that in March 2013 the agency collected 97bn pieces of intelligence from computer networks worldwide. Iran was the country where the largest amount of intelligence was gathered, with more than 14bn reports in that period, followed by 13.5bn from Pakistan. Jordan, one of America's closest Arab allies, came third with 12.7bn, Egypt fourth with 7.6bn and India fifth with 6.3bn. http://www.guardian.co.uk/world/2013/jun/08/nsa-boundless-informant-global-datamining

Me, I would make an image classification first (in ERDAS, for example). After this step, using the Conditional statement function from Model Maker in ERDAS software, I would replace the cloud areas with the land covers under that clouded area from the precedent image. Is like putting 2 layers together, the holes from the first image are filled by the second image located below. You can search on ERDAS comunity forum: http://geospatial.intergraph.com/community/forums/ Good luck, my friend !

Use a screen capture software like Snagit i think it will be helpful!

SuperSurv 3.0, released by SuperGeo Technologies, support bilingual user interface, traditional Chinese and English, and global coordinate system. SuperSurv is the mobile survey system operated on Android mobile device. SuperSurv 3.0 focuses on the convenience of data collection in field survey and supports to display base map in SGT format and Web map services. Users can import vector layer for references to collect spatial data more effectively. With GPS, camera, and custom tables, users are able to record the attributes of point, line, polygon features and photo information more completely; the collected data can be applied in other GIS software. In field survey, users are allowed to collect data, record track, and use waypoint guidance simultaneously to achieve their tasks efficiently. In addition, SuperSurv is designed with user-centered concept so that users can customize the map display, set the overlay order of layers and color of features. Also, while using measure toolbar and track toolbar, users can drag the toolbars to new positions they need that makes the operation environment meet users’ need. Supported file formats: Vector data formats: GEO, SHP, KML Raster data: SGT GPS track: SHP, KML Waypoint: TXT, CSV, KML source : SuperSurv 3