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.
gjoseph92/stackstac की मुख्य विशेषताएं हैं: डेटा मैनेजमेंट, Data Management and Catalogues, Distributed Computing।
gjoseph92/stackstac के ओपन-सोर्स विकल्पों में शामिल हैं: azavea/stacframes — A Python library for working with STAC Catalogs via Pandas DataFrames. cholmes/pdd-stac — This repo contains a work in progress example of a Planet Disaster Data 'catalog' with STAC Items, as well as html /… addresscloud/aws-lambda-docker-rasterio — AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs. azavea/franklin — A STAC/OGC API Features Web Service. activeloopai/hub — Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and… dask/dask-image — dask-image.
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
AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs.
A Python library for working with STAC Catalogs via Pandas DataFrames
