Live-Earth-Wallpapers
awesome-spectral-indices
| Live-Earth-Wallpapers | awesome-spectral-indices | |
|---|---|---|
| 16 | 4 | |
| 298 | 763 | |
| - | 2.5% | |
| 3.7 | 5.9 | |
| about 2 months ago | 10 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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Live-Earth-Wallpapers
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Gui to set desktop background to live satellite images. For Windows, Mac and Linux. You can create your own image compositions with all known Earth and Sun satellite images.
Link: https://github.com/lennart-rth/Live-Earth-Wallpapers
- I developed a installable GUI, that automaticly sets your desktop background to live satellite images of the Earth. You can even customize the image composition together with live Sun Images. It supports all publicly available live satellite Images of the earth!
- I developed a python GUI, that automaticly sets your desktop background to live satellite images of the Earth. You can even customize the image composition via the gui or a config.yml file. It supports all known earth-bound satellite Images. If you found one that isn´t please comment :)
- I developed a installable GUI for MacOS, that automaticly sets your desktop background to live satellite images of the Earth. You can even customize the image composition or the type of satellite image.
- I developed a GUI, that automaticly sets your desktop background to live satellite images of the Earth. You can even customize the image composition in a config.yaml file. It´s installable via dpkg or python pip!
- I developed a python GUI, that automaticly sets your desktop background to live satellite images of the Earth. You can even customize the image composition.
- I wrote a GUI for Windows, Mac and Linux to routinely update your Desktop background with near realtime satellite Images of the Earth! You can customize the live satellite Images and the background composition from within the GUI or by writing a yaml config file!
awesome-spectral-indices
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Any tips or resources for vegetation analysis using 8 band imagery compared to 4 band?
You might find this github repo useful: https://github.com/awesome-spectral-indices/awesome-spectral-indices
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Best indices to use for detecting shallow water
Have you tried the augmented NDWI? That link has a ton of other indices too (scroll down for water).
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Vegetation Indices to determine the change in vegetation area using aerial images
How do you define vegetation cover to begin with? You'll need some kind of definition that uses RGB only, if you want to use these images. Have a look at this listto see if there's a vegetation index that uses RGB only.
- Spectral Indices for Remote Sensing Applications
What are some alternatives?
google-maps-at-88-mph - Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
wxee - A Python interface between Earth Engine and xarray for processing time series data
detectree - Tree detection from aerial imagery in Python
linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
TouchTerrain_for_CAGEO - Touch Terrain: A python app to create 3D printable terrain models (STL/OBJ) from only elevation data (via Google Earth Engine) or from a local geotiff. Has been used for CNC terrain models. Runs as a web app (http://touchterrain.org), as .py file (standalone.py) or as jupyter notebook. Docker image: https://github.com/ChHarding/TouchTerrain_jupyter_docker
landsat8image - A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.
Awesome-GEE - A curated list of Google Earth Engine resources
earthpy - A package built to support working with spatial data using open source python
pylandtemp - Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
rasterio - Rasterio reads and writes geospatial raster datasets