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NDVI images with Sentinel 2
By ASalas,
Hello:
I am working with Sentinel 2 images to generate NDVI maps, using QGIS. I create the NDVI image with the raster calculator using the formula NDVI=(NIR-R)/(NIR+R), but I wonder how do other factors such as cloud shadow or the previous treatment of the images. I also would like to know the difference of working with the 1C data or the 2A data to get NDVI values.
Linkage mapper
Linking many polygons using linkage mapper
By Maya007,
I have a set of polygons showing core forests and also sets of lines showing the connections between core forests. Is it possible to link these polygons with the given lines using linkage mapper?
Linkage mapper
By Maya007,
Hello all,
Can anyone suggest where i could find details about "Linkage mapper". I tried to run linkage mapper tools in ArcMap 10.5 version and it shows some errors
Thanks
Least cost method in Arcmap
By Maya007,
Hello again,
I was trying to do least cost distance using ArcMAp. I tried to run least cost distance tool and it shows error as 999999. The input raster used in the cost distance tool were
1.A raster file showing the origin
2. Resulting file from a weighted overlay tool.
I think the raster file showing the origin has some problem which stops the operation. I was trying with a dummy point to know how this funtion works. Is it because of that? I first made a point shape file
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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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