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    [Q] Basemap labels in QGIS map composer

    Arhanghelul
    By Arhanghelul,
    Hello friends ! I am trying to create a map in QGIS using Google Hybrid plug-in as a basemap. When i export my map from Map Composer in QGIS, the labels from the basemap (street names, places, locations, etc) are not exportet on the map. So, how can i keep the labels on the exported basemap ? Thank you.

    How to add GRASS plugin in Windows QGIS

    Lurker
    By Lurker,
    hello, I just install QGIS + GRASS latest version and I would like to add this extension : http://www.slopestability.org/software.html I dont see this function in GRASS toolbox inside QGIS so I want to add it, how to do that? note : I use windows 10 thank you for the help

    How to open extension-less Precipitation Forecast Data from ECWMF

    Lurker
    By Lurker,
    Oke I got this data for my local agency, this is actually a forecast data from ECMWF this format just like this : this file on zip and inside this zip there are hundred data with this format : D1F092500000925____1 those number can be anything and different each files I thought this is netcdf data and try to open using panoply, but give me error anyone familiar with precipitation data/weather forecast data? how to open this and deploy as a tiff files that can be importe

    Web API for Volume Calculation

    Pavan
    By Pavan,
    Do we have any Web API to calculate volume from a DSM .tiff image or any other format files? we are looking similar to this video. 

    Alluvial Diamond Deposits

    batalhadematos
    By batalhadematos,
    Hi all, I need your help on identify alluvial diamond deposits using remote sensing. Does anyone have knowledge on this topic? Some of the question I have: - What minerals should I look for when the target is alluvial diamonds deposits (kimberlite could also be a target)? - Can anyone guide me on the steps required for identify those on a Landsat-8 scene? Thank you very much Regards Paulo

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    • GPS is an incredible piece of modern technology. Not only does it allow for locating objects precisely anywhere on the planet, but it also enables the turn-by-turn directions we take for granted these days — all without needing anything more than a radio receiver and some software to decode the signals constantly being sent down from space. [Chris] took that last bit bit as somewhat of a challenge and set off to write a software-defined GPS receiver from the ground up. As GPS started as a military technology, the level of precision needed for things like turn-by-turn navigation wasn’t always available to civilians. The “coarse” positioning is only capable of accuracy within a few hundred meters, so this legacy capability is the first thing that [Chris] tackles here. It is pretty fast, though, with the system able to resolve a location in 24 seconds from cold start and then displaying its information in a browser window. Everything in this build is done in Python as well, meaning that it’s a great starting point for investigating how GPS works and for building other projects from there. The other thing that makes this project accessible is that the only other hardware needed besides a computer that runs Python is an RTL-SDR dongle. These inexpensive TV dongles ushered in a software-defined radio revolution about a decade ago when it was found that they could receive a wide array of radio signals beyond just TV. source: Hackaday and  GitHub - chrisdoble/gps-receiver
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