#rasterio — Public Fediverse posts

Hello Mastodon, an #introduction.
I'm a geospatial scientist with a PhD in Earth System and Geoinformation Science. I work in remote sensing and #GeoAI, mostly on drought, vegetation, and land — in Africa and the US Great Plains.
I'll mostly post maps, model results, and #GoogleEarthEngine and Python tutorials (#geopandas, #rasterio). I'm also building a national GIS data portal for #Cameroon.
#RemoteSensing #GIS #EarthObservation #Python

RE: https://wisskomm.social/@ioer/115899330915763542

I really took a deep dive into #datashader with this map: Locals & Tourists in Germany, as derived from 67 Million Geo-Social Media Posts (2007-2022) in Germany. The data includes public shared posts from Instagram, Flickr, Twitter and iNaturalist.

I always wanted to create such a map, following the footsteps of Eric Fisher's Locals & Tourists dataset from 2011 [1].

I shared the code for producing this map here [2]. The repository is available here [3]. This includes some neat methods for various #geospatial processing tasks in #Python, such as exporting a datashader map to a #GeoTiff [4] with the help of #Xarray and #Rasterio.

Finally, all of this was created in a privacy-preserving way using #HyperLogLog, which allowed me to share the code and abstracted data publicly for full reproducibility and transparency. [6] #FAIR

Below you'll find the link to the (quite succinct) publication in Natur und Landschaft in Karten (#NuL).

[1]: https://www.flickr.com/photos/walkingsf/albums/72157624209158632
[2]: https://code.ad.ioer.info/wip/digital_traces_map/html/03_visualization.html
[3]: https://gitlab.hrz.tu-chemnitz.de/ad/digital_traces_map/
[4]: https://gitlab.hrz.tu-chemnitz.de/s7398234--tu-dresden.de/base_modules/-/blob/main/raster.py?ref_type=heads#L78
[5]: https://www.nul-online.de/article-7301410-1111/landschaft-und-natur-in-karten-.html
[6]: https://doi.org/10.71830/VDMUWW

Current project: Automatic pipeline for downloading and processing Sentinel 2 imagery. Once that works, automatic upload to a TAK server as datapackage...

#python #rasterio #sentinel2 #satelliteimagery #tak #atak

Utilisation de #Python et #RasterIO pour lire les metadonnées des images géographiques. https://youtu.be/VfKTQj54Fzg?si=hx3EdSvOJqWTx30X

👀 Is anyone of you aware of a python solution for creating a bivariate map from a raster?

#gischat #python #rasterio #geopandas

Been working on bringing back an old Python project, to get OBJ files from GeoTIFFs using #RasterIo.

Mostly for my own amusement, and to get back to doing some Python after a break.

A panorama of #Edinburgh old town, camera is positioned above the spire of the Hub in LawnMarket.

The odd dark spike to the south was the crane being used to build the Virgin Hotel in Cowgate, the DSM is from a couple of years back.

I've been struggling with adding a colormap to a landcover raster. There is https://gdal.org/programs/gdalattachpct.html but apparently it isn't included in the GDAL that comes with QGIS or osgeo4win.

I finally tried using #rasterio, and and am happy to report that it works like a charm! https://rasterio.readthedocs.io/en/stable/topics/color.html#writing-colormaps

I got to bed quite late yesterday because I was fixing some #Rasterio code of mine...

And then I dreamt about the goddamn stuff...

I think I'll need to make a "stop doing raster data" meme at some point!

#coding #geodata

I have been working on a set of hierarchical hexagonal European population projections based on @WorldPopProject using @qgis @geopandas and #rasterio

#DataVisualization

This is then a population density render using @qgis @geopandas and #rasterio 1km² #population data at an #European scale including a reasonable chunk of #EasternEurope

Just 😍

I couldn't wait, so here's a work-in-progress #mosaic of #SwissTOPO aerial imagery. All thanks to #Python, #RasterIO, #GDAL, and a few late night coding sessions.

I can't get over the quality of these images, especially that water. ✨

Has anyone in the maphive used #GDAL or #rasterio to sieve *a targeted value* in a #raster

I'm having some success with these tools to weed out small polygons globally, but I'm actually aiming to affect one DN/class and not the others.

https://gdal.org/programs/gdal_sieve.html#gdal-sieve

#maps

After fighting #GDAL, #RasterIO, and a million other tools for a couple evenings, I finally have a pipeline that can create unified Slippy #map tiles from a mix of #GeoTIFFs and other tiles, all across multiple projections!

It feels like a huge win on the way to a scalable raster pipeline.

I'm sure this is child's play for experienced raster data wranglers, but it feels so good for my first major success!

@TheRealJimShady Yeah, thanks had not seen that #rasterio #python #geopandas

Population density map of #India 🇮🇳.

On the map, you can see many dark hotspots denoting densely populated cities and towns, mixed in with lighter regions with less people. All major #Indian cities show high population densities, including #NewDelhi, #Kolkata, #Chennai, #Bengaluru, #Hyderabad, and #Mumbai.

I created this map in #python using #matplotlib #geopandas #rasterio packages. For population data, I used the 2022 GHS population grid data.

#30daymapchallenge #datavisualization #dataviz

#30DayMapChallenge day 15 - Food/Drink

Feeling pretty proud of myself to have made it to the halfway point. I feel like I've learned a lot so far but there have been some really cool maps I've seen others do which has #inspired me to explore new tools😊

Today I used raster data to create a #topography map of the #Champagne region of #France. I used #QGIS to manually draw a .shp to clip the raster and then #rasterio, #matplotlib, #earthpy and #numpy to build the map.

#datadon #DataScience

I see that Sean Gillies (https://sgillies.net/) has verified both #Shapely and #Rasterio are running on #Python 3.11.0.

https://pypi.org/project/shapely/
"Shapely is a BSD-licensed Python package for manipulation and analysis of planar geometric objects."

https://pypi.org/project/rasterio/
"Rasterio reads and writes #geospatial raster data."