pygeoapi allows users to connect their datasets of various formats (GeoJSON, Shapefile, PostGIS connection, Elasticsearch, etc.) and create RESTful endpoints following OGC Standards.
Getting-started
- Here is a hands-on coding lesson teaching geospatial concepts and Python packages for querying, accessing and processing geospatial data.
- Here is a free open access book including fundamentals and applications of Google Earth Engine. It suits users of all levels - from beginners to advanced users.
- This blog post introduces image segmentation and clarifies the different types of segmentation (semantic, instance and panoptic) and discusses annotation for segmentation projects.
- This book will introduce you to the methods required for spatial programming. It focuses on building your core programming techniques while helping you carry out various geospatial tasks.
- This post provides an introduction to satellite imagery classification, and an overview of how models are trained in practice.
- This workshops offers an introduction to Geographic Data Science. It provides an introduction to fundamental concepts of geographic data science using a hands-on approach in R.
- This post runs through why you should consider using SQL in your workflows, and then describes how you can easily undertake common GIS tasks with SQL.
- This ebook teaches you the basics of remote sensing, aerial photos, satellites, preparing images for analysis, band transformation, image classification, and more.
- Discover how to simplify the process of developing apps that use ArcGIS content and capabilities, such as mapping, navigation, and field data collection.
