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I agree with you, on some satellites, the difference of resolution between pan and multispectral becomes ridiculous. Keep in mind that a ration 1:4 means you get 16 Pan pixels for one multispectral ! High contrast objects completely "smear" on the neighbours. I understand for marketing reasons, producers want to announce the highest figures, but.... I'm not even talking about the effective resolution of these images. If you want, you can resample a Landsat TM image to 10 cm ! I don't thin an algorithm will be able to reconstruct high res multispectral images suitable with classification. If the information is not there, you will never reconstruct it. On the same mood, you could also publish a movie captured with your cell phone on a Blu-Ray disc. It's feasible, but the results... If your classification is mainly based on spectral properties (e.g. agriculture), I will rather work on pure spectral bands only. If recognition is more based on shape and structure, Pan-sharpening may help. I would rather use pan sharpened images for visual interpretation only.

But not all are free.......

sad news, thousand people dead, RIP for them the news taken from CNN : Kathmandu, Nepal (CNN)A 7.8 magnitude earthquake centered less than 50 miles from Kathmandu rocked Nepal with devastating force Saturday, toppling homes, temples and historic buildings and leaving at least 1,457 people dead, authorities said. Afterward, whole streets and squares in the nation's capital and largest city were covered in rubble. The injured wound up being treated outside hospitals in chaotic scenes. Residents, terrorized by a seemingly endless series of aftershocks, huddled outdoors for safety. The death toll was reported by Nepal's Ministry of Home Affairs. But given that the rescue effort is still in its early stages and that people in outlying areas may well have been affected, as well, it seems probable the number will rise. In neighboring Tibet, roads buckled, buildings collapsed and at least 12 people were killed, China's state media reported, citing local authorities. Separately, at least four Chinese citizens in Nepal -- two workers with a Chinese company, a tourist and a mountaineer -- have been killed, state media reported, citing the Chinese Embassy in Kathmandu. source : http://edition.cnn.com/2015/04/25/asia/nepal-earthquake-7-5-magnitude/

Hi guys! I`m working on land cover change detection project of Kyiv province in Ukraine using Landsat data and ancillary information. I want to find change in Land Cover from 1990 to 2014 of Kyiv province using Decision Tree approach in ENVI. I have already done radiometric correction, atmospheric correction and apply cloud mask to whole Landsat`s scenes, and now I have question and request. Do I need to do mosaicking before classification or mosaicking classified image ? Does anybody have some decision rules for splitting pixels for appropriate land cover classes using Landsat data, DEM, VI? Thanks

remember the old glory days, when everything is in rapidshare this is the news from them : RapidShare, one of the first file hosting services on the Internet, is shutting down next month. After March 31, all of its user accounts and data will be deleted. The Switzerland-based service went online in 2002 and saw hundreds of millions of monthly visitors during its glory days a few years ago. Chances are, most of them didn’t come to download the latest Creative Commons-licenced folk album, but unlike Megaupload, RapidShare managed to stay on the right side of the law. The service saw a surge of new users after the Megaupload shutdown in early 2012 and even had to limit download speeds to cope with demand for a while. source : http://techcrunch.com/2015/02/10/rapidshare-shuts-down/

Piratebay & Isohunt, largest torrent sites goes open source, you can download their web script, even they provide database dump also http://openbay.isohunt.to/

Drones have just found their new best friends: coders. On Oct. 13, the Linux Foundation unveiled a nonprofit organization called the Dronecode Project, an open-source development initiative uniting thousands of coders for the purpose of building an aerial operating system for drones. Hopeful that the project will bring order to the chaos that has surrounded software developers as they sprint to carve out a share of the bourgeoning market for unmanned aircraft systems (UAS), UAS operators are now asking whether Dronecode will finally provide the horsepower and industry-wide support needed to launch a universal drone operating system. Dronecode’s instant edge in the industry is the result of combining the responsive and creative culture of an open-source development platform with the institutional knowledge of founding members like 3D Robotics, Baidu, Box, DroneDeploy, Intel, Qualcomm and Walkera. While the Dronecode Project appears to have the heft for a home run, its success will depend upon whether the aerial operating system it ultimately produces can win the hearts of the operators who rely on UAS day in and day out for filmmaking, firefighting, precision agriculture, pipeline inspection, package delivery pilot programs and hundreds of other applications. Meeting this challenge will require more than just talented coders. In addition to relying on user-friendly platforms and systems that intelligently adapt to flight in new environments, UAS operators now expect a system that is engineered with an eye toward the regulatory environmentswithin which they operate. The Federal Aviation Administration’s September 2014 approval of several petitions to operate small UASs weighing 55 pounds or less under Section 333 of the FAA Modernization and Reform Act of 2012 provides a preliminary road map for operational compliance. To become the industry standard, Dronecode will have to build a practical platform that takes the FAA’s road map into account and makes it easy for operators to comply with federal aviation safety standards. Monitoring and controlling altitude, for example, is a primary consideration of the FAA in ensuring that commercial UAS operations do not interfere with manned aircraft. The FAA’s Sept. 25 Grant of Exemption to Astraeus Aerial expressly limited operations to below 400 feet and included an in-depth analysis of the system’s altitude reading capabilities prior to granting authorization. Since most UASs do not include a typical barometric altimeter, the FAA has approved operating systems that provide altitude information to the UAS pilot through a digitally encoded telemetric data feed that downlinks from the UAS to a ground-based, on-screen display. But what happens when the connection to the UAS operator on the ground is lost? While many coders could build a GPS-based altitude reading system before having their morning coffee, it is the challenge of preparing for lost-link events that will require collaboration between the greatest minds in software, artificial intelligence and “sense and avoid” systems — precisely the type of collaboration Dronecode aims to facilitate. To date, the FAA’s analysis of lost-link events has focused on the ability of the UAS, upon losing a connection, to perform preprogrammed maneuvers that include flying to safety without the control of an operator. Thus, while improving the operator experience is an important factor for Dronecode’s success, lasting success in the UAS software industry will require systems to perform safely and reliably without an operator. These systems will truly be “unmanned.” With hundreds of thousands of lines of code already written, only time will tell whether Dronecode’s operating system will be tailored to the operating parameters defined by the FAA and accepted in the UAS community. source ; http://www.computerworld.com/article/2841493/one-code-to-rule-them-all-dronecode.html

from nsaneforums : source : http://www.nsaneforums.com/topic/211877-windows-leak-site-wzor-goes-dark-a-day-after-feds-arrest-microsoft-mole/ another story from betabbs.org http://www.betabbs.org/index.php?/topic/9699-wzor-goes-dark-a-day-after-feds-arrest-microsoft-mole/ old news, but interesting topic