Reverse Dependencies of rasterio
The following projects have a declared dependency on rasterio:
- earthkit-aggregate — Aggregation tools for meteorological and climate data.
- earthml — A library to Perform different possible operations on Geo-Spatial Dataset
- earthnet-minicuber — EarthNet Minicuber
- earthpie — Specialised version of open source earthpy package that does not plot img directly but returns array to use with plt.imshow
- earthpy — A set of helper functions to make working with spatial data in open source tools easier. This package is maintained by Earth Lab and was originally designed to support the earth analytics education program.
- earthstat — EarthStat Library
- easysnowdata — package to easily get data relevant to snow
- ecoscape-layers — EcoScape habitat and matrix layer creation
- ecoscope — Standard Analytical Reporting Framework for Conservation
- eis_toolkit — EIS Toolkit is a comprehensive collection of tools suitable for mineral prospectivity mapping. This toolkit has been developed as part of the Exploration Information System project which has been funded by European Union.
- ela — A Python package for exploratory lithology analysis
- elapid — Species distribution modeling support tools
- elevation — Python script to download global terrain digital elevation models, SRTM 30m DEM and SRTM 90m DEM.
- ellipsis — Package to interact with the Ellipsis API
- ellipsis-AI — Package to use Ellipsis Drive for AI
- ellipsisAI — Package to use Ellipsis Drive for AI
- emagpy — API for FDEM inversion and data manipulation
- embrs — A fire simulation tool optimized for autonomous firefighting systems development
- emrecharge — Tools for EM Groundwater Recharge
- eo-grow — Earth observation framework for scaled-up processing in Python
- eo-learn — Earth observation processing framework for machine learning in Python
- eo-validation — Collaborative validation tools for remote sensing imagery
- eobox — A toolbox for processing earth observation data with Python.
- eodag — Earth Observation Data Access Gateway
- eodag-cube — Data access for EODAG
- eodal — The Earth Observation Data Analysis Library EOdal
- eodatasets3 — Packaging, metadata and provenance for OpenDataCube EO3 datasets
- eodc — Python SDK for interacting with EODC services.
- eoreader — Remote-sensing opensource python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
- eosets — This library aims to simplify any process working with different sets of EO data handled by EOReader.
- eotdl — Earth Observation Training Data Lab
- EOTorchLoader — Pytorch data loader for Earth observation imagery
- epiw — Python package for weather query
- esi-utils-pager — USGS PAGER loss modeling functionality
- ESMValTool — ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP.
- eurocropsml — EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.
- experiment-goodies — Useful helpers, callbacks and more for experimenting with ml models
- fairpredictor — A package for running predictions using fAIr
- fake-geo-images — Fake geospatial images for unit tests
- fakemap — Python Boilerplate contains all the boilerplate you need to create a Python package.
- fcpgtools — Tools to create Flow-Conditioned Parameter Grids (FCPGs) from Flow Direction Rasters (FDRs) and arbitrary rasterized parameter data.
- felicette — Satellite imagery for dummies.
- fgddem-py — convert FGD-DEM to GeoTIFF
- fieldfinder — Agricultural field detection using spectral indices and threshold masks.
- FINE — Framework for integrated energy systems assessment
- fire-split — Split individual fire events from tif files
- flipnslide — A concise Python package to preprocess large scientific images for use with GPUs.
- flopy — FloPy is a Python package to create, run, and post-process MODFLOW-based models
- flowcast — A framework for dynamically stringing together operations over gridded netcdf data, to create derived insights
- flusstools — Analyze and design river ecosystems
- Fused — no summary
- fuslib2021 — Library for remote sensing images fusion
- gbdx-surface-water — Functions and constants used by the surface water detection via GBDX Notebook
- gcs-helpers — GCS_HELPERS: helper methods for working with google cloud storage
- gdal-dask-reproject — no summary
- gdalTools — some useful tools in gdal
- gdptools — Gdptools
- gee-downloader — Evoland models and data loaders
- geedim — Search, composite and download Google Earth Engine imagery.
- geeltermap — Python mapping application based on Geemap and GEE designed to provide phenology, flood and LST satellite data to eLTER sites
- gemgis — Spatial data processing for geomodeling
- geo-benchmark — A benchmark designed to advance foundation models for Earth monitoring, tailored for remote sensing. It encompasses six classification and six segmentation tasks, curated for precision and model evaluation. The package also features a comprehensive evaluation methodology and showcases results from 20 established baseline models.
- geo-inference — Extract features from geospatial imagery using deep learning models
- geo-rasterizer — Package to rasterize shapes in a geodataframe to a reference geotif.
- GEOAkaze — Geolocation correction using Akaze
- Geoarchpy — Simpler geological and property models
- geobeam — geobeam adds GIS capabilities to your Apache Beam pipelines
- geobench — A benchmark designed to advance foundation models for Earth monitoring, tailored for remote sensing. It encompasses six classification and six segmentation tasks, curated for precision and model evaluation. The package also features a comprehensive evaluation methodology and showcases results from 20 established baseline models.
- geobo — Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences
- geoca — A Python module for CA models based on geo-raster data
- geococo — Converts GIS annotations to Microsoft's Common Objects In Context (COCO) dataset format
- geocover-utils — Set of library and tools to work with GeoCover data (https://www.swisstopo.admin.ch/en/geological-model-2d-geocover)
- geocube — Tool to convert geopandas vector data into rasterized xarray data.
- geodata-harvester — An automation tool for harvesting and processing geodata from the web
- geodata-preprocess-IIITB-SCL — Dealing with Geopspatial Data, faster computation of ndvi indices using dask
- geodemora — A python package for interactive mapping
- geoengine — A package for easy access to Geo Engine instances
- geoenrich — A package to enrich your geo-referenced data (e.g. species occurrences) with environmental data.
- GeoFuns — A package for geo tools used to map card score
- geogear — GEOGEAR analysis functions
- geoget — Download geodata for anywhere in Earth
- geograph — Group Team Challenge 2021 - Biodiversity Team
- geohub — A python package created with some data and geospatial analysis skills
- geoips — Geolocated Information Processing System
- geokrige — GeoKrige is a Python package designed for spatial interpolation using Kriging Methods. While primarily tailored for geospatial analysis, it is equally applicable to other spatial analysis tasks.
- geolabel-maker — Data preparation for geospatial artificial intelligence
- geolibs — A wrapper library that integrates GeoEngine and MMLab libraries for GeoSpatial ML development.
- geomanager — Wagtail based Geospatial Data Manager
- GeoPatch — GeoPatch is a package for generating patches from remote sensing data
- geopolygonize — Convert geographic rasters into simplified polygons
- georeader-spaceml — Lightweight reader for raster files
- georetriever — Retrieve geological data for geothermal systems from coordinates in Python!
- georise — A Python Library Built on GDAL for Visualization of Geospatial Maps
- geosardine — Spatial operations extend fiona and rasterio
- GEOSLAM — Seismo-Lineament Analysis Method
- geospatial — A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
- geospatial-ml — A collection of Python packages for geospatial analysis and machine learning.
- geosyspy — Easy-to-use python wrapper for Geosys APIs (time series, imagery products)
- geotiff-crop-dataset — A Pytorch dataset that crops rasterio-readable image files to small sections on the fly.
- geotile — Package for working with geographic raster tiles