Satellite image time series in R
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Updated
Jun 22, 2026 - R
Satellite image time series in R
SpatioTemporal Asset Catalog API specification - an API to make geospatial assets openly searchable and crawlable
Elasticsearch backend for stac-fastapi with Opensearch support.
Python package for creating cloud-free mosaics from Sentinel-2 imagery, with flexible scene selection, multiple compositing methods, and state-of-the-art cloud masking via OmniCloudMask.
Python wrapper for the sits R package
Client-side web application for exploring satellite imagery from Microsoft Planetary Computer. Supports Sentinel-2, Landsat, SAR, DEM, and MODIS with interactive visualization, measurement tools, and multi-band selection.
swisstopo geospatial Python utilities
This Python code provides a custom QGIS plugin widget that allows users to interact with time-series images Sentinel.
A multi-modal machine learning solution to forecast water quality parameters in South Africa rivers using Landsat satellite imagery (STAC API), TerraClimate meteorological data, and Snowflake (Snowpark ML). Developed for the EY AI & Data Challenge 2026.
A Java client for interacting with STAC-APIs.
Real-time geospatial methane tracker for West Nusa Tenggara (NTB) featuring 3D terrain-aware Gaussian Plume dispersion, Sentinel-5P macro-radar, NASA/Carbon Mapper micro-satellite tipping-and-cueing, and AI data fusion gap-filling with dMRV carbon credit reporting.
A Java client for interacting with the Microsoft Planetary Computer.
ODP tutorials: STAC discovery, H3 geospatial analysis, data pipelines, multi-dataset joins. Includes Claude Code skills for AI-assisted oceanographic data development.
FastAPI service for downloading satellite imagery from Microsoft Planetary Computer. Deployed serverless on AWS Lambda with Docker.
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