google-maps-at-88-mph
awesome-spectral-indices
Our great sponsors
| google-maps-at-88-mph | awesome-spectral-indices | |
|---|---|---|
| 4 | 4 | |
| 122 | 755 | |
| - | 3.8% | |
| 2.6 | 5.9 | |
| over 2 years ago | 17 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
google-maps-at-88-mph
- Google Maps at 88mph: Google Maps keeps old satellite imagery around for a while – this Python-based tool collects what's available for a user-specified region in the form of a GIF
-
The Empire State Building looks... interesting... in the 45-degree imagery on Google Maps
I've recently written a tool, Google Maps at 88 mph (the name's a reference) that collects all available imagery versions for a given area in the form of a GIF. In the last week, I've extended it to handle the 45-degree imagery (looking at cities at an oblique angle) available via an API.
- GitHub - doersino/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.
awesome-spectral-indices
-
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
-
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).
-
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?
dotwiz - A blazing fast dict subclass that supports dot access notation.
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
googlemaps-scraper - Google Maps reviews scraping
wxee - A Python interface between Earth Engine and xarray for processing time series data
red-dot
detectree - Tree detection from aerial imagery in Python
goestools - 📡 LRIT demodulator from weather satellite GEO-KOMPSAT-2A (GK-2A).
linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
localtileserver - 🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
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