Analysis of georeferenced rasters and vectors
-
Updated
May 31, 2024 - Python
Analysis of georeferenced rasters and vectors
Generate map templates for Farming Simulator from real places.
Identifying the number of locations affected by different flood return periods using dataset of polish address points, flood hazard maps and administrative unit boundaries.
Modelling scenarios with geographic data.
🛰️ Process raster data in python
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Notebooks for preprocessing and analysis of Planetscope 4 band data/imagery, using rasterio and fiona.
An improved AHN3 gridded DTM/DSM done as university project for the MSc Geomatics @ TU Delft
Tile-based geodata processing using rasterio & Fiona
This initiative leverages cutting-edge machine learning technique such as Mask R-CNN to automate the identification of buildings in satellite images after disasters. Employing high-resolution Maxar imagery, our models efficiently and accurately pinpoint affected structures, enhancing the speed and effectiveness of emergency responses.
Tool to convert geopandas vector data into rasterized xarray data.
geospatial xarray extension powered by rasterio
ODEON is a task-agnostic framework for deep learning applied to remote sensing
A light-weight, versatile XYZ tile server, built with Flask and Rasterio 🌍
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
Add a description, image, and links to the rasterio topic page so that developers can more easily learn about it.
To associate your repository with the rasterio topic, visit your repo's landing page and select "manage topics."