Open-source alternatives to Aws Lambda Docker Rasterio

cogserver

A Python library for working with STAC Catalogs via Pandas DataFrames

sat-api-pg OpenAPI Docs

This is not an officially supported Google product, though support will be provided on a best-effort basis.

Best practices with cloud-optimized-geotiffs (COGs)

The SpatioTemporal Asset Catalog (STAC) family of specifications aim to standardize the way geospatial asset metadata is structured and queried. A "spatiotemporal asset" is any file that represents information about the Earth at a certain place and time. The original focus was on scenes of…

Sat-search is a Python 3 library and a command line tool for discovering and downloading publicly available satellite imagery using STAC compliant API.

stactools is a high-level command line tool and Python library for working with STAC. It is based on PySTAC.

FastAPI implemention of the STAC API spec.

``` pip install aiocogeo

A wrapper for running GDAL in the browser using gdal-js

This repo contains a work in progress example of a Planet Disaster Data 'catalog' with STAC Items, as well as html / handlebars templates.

rioxarray README

golang wrapper for github.com/OSGEO/gdal

Turn a list of STAC items into a 4D xarray DataArray (dims: time, band, y, x), including reprojection to a common grid. The array is a lazy Dask array, so loading and processing the data in parallel—locally or on a cluster—is just a compute() call away.

This is a Spatio-Temporal Asset Catalog (STAC) browser for static catalogs. Minimal support for APIs is implemented, but it not the focus of the Browser and may lead to issues. It attempts to surface all included data in a user-centric way (an approach which can inform how data is represented in…

This is an Intake data source for SpatioTemporal Asset Catalogs (STAC). The STAC specification provides a common metadata specification, API, and catalog format to describe geospatial assets, so they can more easily indexed and discovered. A 'spatiotemporal asset' is any file that represents…

Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and images. It functions as a dataset version control system and a machine learning data streaming engine to support large-scale model training. The system utilizes a serverless PostgreSQL vector store to index high-dimensional embeddings for semantic search. It provides a visual interface for inspecting multimodal datasets and viewing annotations such as bounding boxes and masks. The platform handles cloud-agnostic storage synchronization and implements lazy, compressed data strea

This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for rendering geospatial data, calculating spherical geometry, and visualizing map markers and heatmaps. It serves as a helper collection to handle complex geospatial tasks within Android applications. The library features a marker clustering tool to group nearby markers into single icons and a map data visualizer for generating heatmaps based on the intensity and distribution of geographic points. It also includes a polyline encoding tool for compressing coordinate sequences into com

Fast sorted collections for Swift using in-memory B-trees

Amazon API Gateway sample using Amazon Cognito credentials through AWS Lambda

Sample demonstrating consuming Amazon Cognito Streams

Tools to work with Amazon API Gateway, Swagger, and RAML

Blazor Library for IndexedDB DOM API