From 3b813b4beb83a37d6a134ddb47d3f40ef5739d0f Mon Sep 17 00:00:00 2001 From: SarvaPulla Date: Mon, 15 Aug 2022 19:29:20 -0500 Subject: [PATCH] Add THREDDS and Siphon --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 99bb5b0..5f5eaa5 100644 --- a/README.md +++ b/README.md @@ -200,6 +200,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana * [Nanocubes](https://github.com/laurolins/nanocube) - An in-memory data structure for spatiotemporal data cubes. * [PGRestAPI](https://github.com/spatialdev/PGRestAPI) - Node.js REST API for PostGres Spatial Entities. AKA: SpatialServer. * [Terracotta](https://github.com/DHI-GRAS/terracotta) - A light-weight, versatile XYZ tile server. MIT-licensed, pure Python, serving Cloud-Optimized GeoTIFF (COG). +* [THREDDS](https://github.com/Unidata/thredds) - The THREDDS Data Server (TDS) is a web server that provides metadata and data access for scientific data sets, using OPeNDAP, OGC WCS, HTTP, and other data access protocols. * [utilery](https://github.com/tilery/utilery) - Micro vector tile manufacturing from PostGIS. * [Zoo Project WPS](http://www.zoo-project.org/) - A WPS (Web Processing Service) implementation written in C, Python and JavaScript. It is an open source platform which implements the WPS 1.0.0 and WPS 2.0.0 standards edited by the Open Geospatial Consortium (OGC). It provides a developer-friendly framework for creating and chaining WPS compliant Web Services. @@ -550,6 +551,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana * [scikit-mobility](https://github.com/scikit-mobility/scikit-mobility) - Mobility analysis in Python. * [sentinelsat](https://github.com/sentinelsat/sentinelsat) - Search and download Copernicus Sentinel satellite images. * [Shapely](https://pypi.python.org/pypi/Shapely) - Manipulation and analysis of geometric objects in the Cartesian plane. +* [Siphon](https://github.com/unidata/siphon) - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server. * [som-tsp](https://github.com/DiegoVicen/som-tsp) - Solving the Traveling Salesman Problem using Self-Organizing Maps. * [Spectral Python](https://github.com/spectralpython/spectral) - Python module for hyperspectral image processing. * [stac-fastapi](https://github.com/stac-utils/stac-fastapi) - STAC API implementation with FastAPI.