Ndvi Python Packages

ndvi2gif

Multi-seasonal remote sensing analysis suite: composites, land cover classification, phenology, hydroperiod and SAR processing with Google Earth Engine

synapse-sr

SYNAPSE-SR: Sentinel-2 super-resolution from 10 m to 2 m resolution. Physics-consistent deep learning with per-pixel trust maps and calibrated uncertainty. Flash (any CPU) and Pro (Mamba). pip install synapse-sr

unbihexium

Python library for Earth observation, geospatial analysis, remote sensing and SAR: spectral indices, terrain, geostatistics, STAC and GeoJSON I/O, a CLI, a FastAPI service and a model zoo of 520 reproducible starter models with ONNX export. MPL-2.0, CPython 3.10 to 3.14.

loam-geo

loam-geo — an open-source Python alternative to AWS SageMaker Geospatial (which closed to new customers in 2026). Process Sentinel-2 & Landsat imagery over STAC/COGs: spectral indices (NDVI, band-math), cloud masking, reproject/resample, temporal composites, reverse-geocoding. Execution-agnostic, runs in any region.

satelliteimage

Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.

climateservaccess

Custom library to access data through ClimateSERV API

satellite-image

Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.