Reverse Dependencies of rasterio
The following projects have a declared dependency on rasterio:
- pylusat — Python for Land-use suitability analysis tools
- pynattas — Pynattas, a powerful open-source Python package that provides a comprehensive set of tools for model building and deployment
- pyopenrivercam — pyopenrivercam (pyorc) is a front and backend to control river camera observation locations
- pyosv — Python Open Satellite Vision
- pypeec — PyPEEC - 3D PEEC Solver
- pyposeidon — Framework for Sea Level Hydrodynamic simulations
- pyquickmaps — A slim python library to link (seafloor) maps and sampling data with prediction methods. Needs scipy, numpy, matplotlib, pykrige, osgeo, rasterio.
- pyraws — Python for RAW Sentinel2 data (PyRawS) is a powerful open-source Python package that provides a comprehensive set of tools for working with Sentinel-2 Raw data. It provides utilities for coarse spatial bands coregistration, geo-referencing, data visualization, and image processing.
- pyresample — Geospatial image resampling in Python
- pyrip — Raster Image Processor - a thin wrap that provides some convenient functions over gdal
- PySAGA-cmd — A package that allows you to run SAGA GIS tools using Python.
- pysatproc — Python library and CLI tools for processing geospatial imagery for ML
- PySDMs — An object-oriented class for semi-Auto ML for geospatial classification tasks.
- pyshbundle — PySHbundle: A Python implementation of GRACE Spherical Harmonics Synthesis MATLAB codes SHbundle
- pysheds — 🌎 Simple and fast watershed delineation in python.
- PyShoreVolume — Python Based Shoreline Change and Beach Volume Analysis Tool
- pyspatialml — Machine learning for GIS spatial modelling
- pystac — Python library for working with the SpatioTemporal Asset Catalog (STAC) specification
- pystream-model — Python STREAM hydrological rainfall-runoff model
- pysy — For faster proccessing geofile
- pytiles — python OGC WMS server
- pytorch-eo — Deep Learning for Earth Observation
- pytorch-segmentation-models-trainer — Image segmentation models training of popular architectures.
- pytRIBS — A pre-to-post processing python package for the distributed hydrological model tRIBS
- pyvpp — Python package to download phenological data from Wekeo (HR-VPP datsets from Sentinel 2)[D[
- pyWAPOR — no summary
- pywapor-test — no summary
- ra2ce — Risk Assessment and Adaptation for Critical infrastructurE (RA2CE).
- ragu — Radar Analysis Graphical Utility (RAGU)
- rastachimp — Tools for topological processing of polygons vectorized from rasters
- raster-basics — Basic GeoTIFF Processing
- raster-footprint — Create GeoJSON geometries that bound the extents of valid data in a raster.
- raster-forge — Raster Forge is an package for the manipulation of raster data. It includes a library and a graphical user interface (GUI) application.
- raster-loader — Python library for loading GIS raster data to standard cloud-based data warehouses that don't natively support raster data.
- raster-tools — Tools for processing geospatial data
- raster2dggs — no summary
- raster2ML — Convert georeferenced Geotiff or any spatial raster format to machine learning ready data.
- raster2points — Tool to convert rasters to points
- raster4ml — A geospatial raster processing library for machine learning
- rasterarea — This package provides a more accurate way to claculate the area of rasters.
- rasterioxyz — Package for tiling georeferenced rasterio datasets according to the XYZ tiles standard.
- rasterra — A sleek, object-oriented interface designed for intuitive raster data manipulation in Python.
- rasterstats — Summarize geospatial raster datasets based on vector geometries
- rastervision-core — A rastervision plugin that adds geospatial machine learning pipelines
- rastless-cli — A cli for managing data and user access for the cloud application rastless
- Rat — Resevoir Monitoring using Satellite Remote Sensing
- ravenpy — A Python wrapper to setup and run the hydrologic modelling framework Raven.
- rch — A package containing the personal python utilities of Riley Hales
- regi0 — A Python toolkit to complement and verify biological records.
- region-grow — Creates a new polygon locally given a set of points using a region grow algorithm approach and a satellite image in GeoTIFF format. The polygon output format is ESRI Shapefile
- regionmask — create masks of geospatial regions for arbitrary grids
- restee — Python package to call processed EE objects via the REST API to local data
- rgbgeotif — Convert GeoTif files to array
- rio-alpha — A replacement for pxm-alpha
- rio-cloudmask — Cloud masking plugin for rasterio
- rio-cogeo — Cloud Optimized GeoTIFF (COGEO) creation plugin for rasterio
- rio-color — Color correction plugin for rasterio
- rio-colormap — Rasterio CLI plugin example
- rio-ds-mask — Extract an image's dataset-level mask and write to a new file.
- rio-faux — Create empty image from a model.
- rio-hist — Histogram matching plugin for rasterio
- rio-l8qa — CLI and python module for working with Landsat 8 QA band
- rio-mbtiles — A Rasterio plugin command that exports MBTiles
- rio-merge-rgba — rio merge alternative optimized for RGBA
- rio-metasay — Skeleton of a Python package
- rio-mucho — Windowed multiprocessing wrapper for rasterio
- rio-rgbify — Encode arbitrary bit depth rasters in psuedo base-256 as RGB
- rio-stac — Create STAC Items from raster datasets.
- rio-terrain — Rasterio CLI plugin to perform common operations on single-band elevation rasters
- rio-tiler — User friendly Rasterio plugin to read raster datasets.
- rio-trend — no summary
- rio-vrt — A simple librairy to build a vrt from multiple raster source relying only on rasterio
- rioxarray — geospatial xarray extension powered by rasterio
- RiskChanges — Library for computation of Loss and risk for Changing Natural Hazards
- rivers-datasets-aggregation — A toolbox for grid and vector data aggregation on river stations.
- riversand — Catchmentwide erosion rate calculator
- rockhound — Download geophysical models and load them as Python data structures.
- rok4-tools — Python tools for ROK4 project
- rov-sent-api — no summary
- rpcm — Rational Polynomial Camera Model for optical satellite images.
- RRaster — Rasterio function wrappers for simple raster processing in Python that mimics the R Raster syntax.
- RSensePy — Biophysical parameter calculator for Sentinel 2 and Landsat 8,9 data
- rsisa — Remote Sensing Instance Segmentation Algorithms
- s1-enumerator — Enumerates Sentinel-1 A/B Interferograms
- s11-classifier — Classifier
- s2p — Satellite Stereo Pipeline.
- s2stac — Create a STAC from local S2 data.
- samgis — A backend for machine learning instance segmentation on geospatial data even without dedicated graphics cards.
- sarsen — Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors
- satellite-images-nso — NSO Satellite Extractor and cropper
- satindex — This package calculates several indexes based onn multiband satellite images.
- SatIOpsT — Satellite Image Operations Toolbox
- satip — Satip provides the functionality necessary for
- satseg — A python package to assist in multispectral satellite image segmentation.
- satsense — Library for multispectral remote imaging.
- satsure-ds-utils — Common Utilities for SatSure Data Science Team.
- scale-nucleus — The official Python client library for Nucleus, the Data Platform for AI
- scaneo — A labelling tool for satellite imagery
- scarplet — A Python package for topographic template matching
- scgt — UC Santa Cruz Geographical Toolkit