From 7727ec23243236810d47fb42b4beac2a583c57eb Mon Sep 17 00:00:00 2001
From: David Montero Loaiza <49817852+davemlz@users.noreply.github.com>
Date: Sun, 19 Feb 2023 22:14:56 +0100
Subject: [PATCH] Added cubo

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 17fc3a3..7e22a29 100644
--- a/README.md
+++ b/README.md
@@ -785,6 +785,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
 * [Climata](https://github.com/heigeo/climata) - Python library for loading and iterating over climate and flow time series data (from ACIS/NOAA RCCs, CoCoRaHS, Hydromet/USBR, CNRFC ESP/NWS, SNOTEL/AWDB/NRCS, and NWIS/USGS).
 * [CoastSat](https://github.com/kvos/CoastSat) - CoastSat is an open-source software toolkit written in Python that enables users to obtain time-series of shoreline position at any coastline worldwide from 30+ years (and growing) of publicly available satellite imagery.
 * [cog_validator](https://github.com/rouault/cog_validator) - This is a standalone (Python / Flask) service that allows users to submit GeoTIFF files (preferably by URL) and check their compliance with the Cloud Optimized GeoTIFF (COG) specification.
+* [cubo](https://github.com/davemlz/cubo) - Easily create EO mini cubes from STAC in Python.
 * [CuPy](https://github.com/cupy/cupy) - NumPy-like API accelerated with CUDA.
 * [cuSpatial](https://github.com/rapidsai/cuspatial) - GPU-Accelerated Spatial and Trajectory Data Management and Analytics Library.
 * [dask-geopandas](https://github.com/geopandas/dask-geopandas) - Parallelized GeoPandas with Dask.