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STAR.NET produces the least squares ALTA/NSPS results you need for your surveys. Reports output both geodetic and ground coordinates with combined scale factors. The Sum of Squares, Error Factors, and Chi-Square test are sensitive to the inputs and give excellent feedback reports that offer tremendous flexibility. MicroSurvey STAR*NET is an easy-to-use Windows application that adjusts 2D/3D survey networks using rigorous least-squares techniques.MicroSurvey STAR*NET 8 is an easy-to-use Windows application that adjusts 2D/3D survey networks using rigorous Least Squares techniques.STAR.NET results are formatted for quick review. You can simply comment out bad measurements. Records are one per line and can be edited with any text editor.
#MICROSURVEY STARNET DOWNLOAD SOFTWARE#
The STAR.NET dat input file can be created by many software packages. MicroSurvey STAR*NET is an easy-to-use Windows application that adjusts 2D/3D survey networks using rigorous least-squares techniques. Input Files: Simple to Work With & Understand. Use different instruments on the same job in varying atmospheric conditions and STAR.NET will compensate for the accuracy changes. Easily mixes conventional total station measurements with GPS vectors and leveling data. Results have been used by surveyors around the world for more than 20 years. STAR.NET is the easiest least squares adjustment package to use and understand.Īllows more flexibility in how crews collect measurements. With the new Version 7, you will find better organization of the reports and plot windows, as well as a handful of workflow tools to ensure you can validate and correct your network as efficiently as possible. If you have used STAR.NET before, you will recognize the same powerful network adjustment functionality that has been used by survey professionals for more than two decades. It handles networks containing conventional observations with up to 10,000 adjustable stations. MicroSurvey STAR.NET is an easy-to-use Windows application that adjusts 2D/3D survey networks using rigorous least-squares techniques.