OpenDroneMap generates georeferenced maps, point clouds, elevation models and textured 3D models from aerial images.
Data-processing
- GeoTorch is a spatiotemporal deep learning framework on top of PyTorch and Apache Sedona. It enables spatiotemporal machine learning practitioners to implement deep learning models.
- Here is a hands-on coding lesson teaching geospatial concepts and Python packages for querying, accessing and processing geospatial data.
- This workshop presents and exemplifies a subset of GRASS GIS toolsets for satellite imagery data processing and analysis in combination with other core modules and add-ons.
- This post teaches you how to get started with automating your QGIS workflows on Windows or Mac, using a command-line utility called qgis_process.
- This website aims to list all open-source (OS) Python libraries that can be used for doing various operations, analyses, visualizations etc. related to GIS and Earth Observation.
- The spatstat package has extensive capabilities for exploratory analysis, statistical modelling, simulation and statistical inference with a strong focus on analysing spatial point patterns in 2D.
- Actinia is an open source REST API for scalable, distributed, high performance processing of geographical data that mainly uses GRASS GIS for computational tasks. Learn more about it here.
- This course provides an introduction into core concepts and applications of data science based approaches to geospatial data analysis. You will find the materials for this course here.
- Here is a thorough ebook for learning GIS. Subjects include data visualization with QGIS, GIS and analysis tools, Earth observation and imagery analysis, and geospatial data processing.
