rasterio
flood-sim
| rasterio | flood-sim | |
|---|---|---|
| 6 | 1 | |
| 2,138 | 4 | |
| 0.7% | - | |
| 8.6 | 0.0 | |
| 12 days ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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.
rasterio
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Building a Dynamic Tile Server Using Cloud Optimized GeoTIFF(COG) with TiTiler
TiTiler is a dynamic tile server built on FastAPI and Rasterio/GDAL. Its main features include support for Cloud Optimized GeoTIFF(COG), multiple projection methods, various output formats (JPEG, JP2, PNG, WEBP, GTIFF, NumpyTile), WMTS, and virtual mosaic. It also provides Lambda and ECS deployment environments using AWS CDK.
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Python: How to save NumPy 2d-array to an asc-file so that it can be opened in ArcGIS Pro?
You're missing transform headers etc, you can write it out with GDAL but rasterio is generally easier to use than the Python GDAL bindings, here's an example.
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How to convert (geo?)tifs into something I can query with geocoordinates (PostgreSQL?) ?
Out of curiosity, what's stopping you from keeping the data in GTiff and just sampling from them with coordinates? Lots of free software lets you do that easily (e.g. QGIS, rasterio if you use Python etc). Am I not seeing something here?
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Library Writing Realizations
> X. People will not read the docs.
> Docs are almost useless. Nobody reads them.
> They'll read a one page quick start, and then they want to just start digging in writing code.
> Keep the intros very minimal and very focused on getting things working.
I, for one, read the docs. May fortune smile on those who put effort into https://rasterio.readthedocs.io/
They are terse, but enough breadcrumbs to fumble my way to a working input for gdal_proximity.py
Possibly I'm not a representative sample, but one of my mantras at the office is "If you ain't doc'in', you ain't rockin'."
(Though we are only doing ransom note wiki pages, not library documentation.)
If the package doesn't have shiny Sphynx docs, at least afford us a few cryptic utterances in the source code.
- How do I open .vrt file to see content of the file in python?
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Better alternative to gdal_translate [cross posted with r/QGIS]
Looks like rio (Rasterio CLI) also uses gdal libraries. https://github.com/rasterio/rasterio/blob/master/rasterio/rio/clip.py
flood-sim
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I created a script to simulate water logging using DEM and Ortho as inputs (GitHub repo in comments). Might be useful for people into uav mapping.
GitHub repo - https://github.com/seedlit/flood-sim
What are some alternatives?
titiler - Build your own Raster dynamic map tile services
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
earthpy - A package built to support working with spatial data using open source python
dsm2dtm - Generates DTM (Digital Terrain Model) from DSM (Digital Surface Model).
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
whitebox - WhiteboxTools Python Frontend [Moved to: https://github.com/giswqs/whitebox-python]
wxee - A Python interface between Earth Engine and xarray for processing time series data
awesome-spectral-indices - A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
geoserver-rest - Python library for management for geospatial data in GeoServer.
yesql - A Clojure library for using SQL.
Fiona - Fiona reads and writes geographic data files
QGIS - QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)