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Viewshed tool
By Maya007,
Hello all,
I want to study the visibility of wind mills or the areas of land which can see the tall wind mills. I know the locations of the wind mills. I just need to check which all places on the land can see the windmill.
I have the dem raster file of the terrain. I also have tree heights and building heights in the study area.
When i use the viewshed tool, it asks for raster file which is the dem file and then observer points. In this case what are the observer points ?
Th
OWA in GIS
By Maya007,
Hello again,
Does someone know how to use OWA or ordered weighted averaging method in GIS as a multi criteria method?
Thanks,
Maaya.
3d analyst and spatial analyst
By Maya007,
A basic question here
What are the differences between spatial analyst and 3d analyst tools? I see tools in these two formats for example : Hillshade available as 3d and spatial analyst. Which is best and when is it to be used?
Thanks
Maaya
Remote sensing applications
By AGaber,
Remote Sensing in Groundwater Studies
Chapter 2
Remote Sensing in Groundwater Studies
Abstract Groundwater study in an area requires the idea of lithological units,
structural disposition, geomorphic set-up, surface water condition, vegetation, etc.
These can be well understood with the help of remote sensing (RS). It is the study
of satellite images and aerial photographs. Satellite images are basically the electromagnetic
(e-m) record of broad spectrum (ultraviolet, visible, i
Spatial planning using Method TOPSIS
By Maya007,
Hello all,
Can someone help me with the multi criteria evaluation to select a suitable site for wind farms using TOPSIS in GIS? I see mostly AHP method being used to find weights of factors, i want to use some other method instead of AHP to find factor weights.
Please add in your suggestions :)
Thanks in advance,
Maya
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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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