Reverse Dependencies of rioxarray

The following projects have a declared dependency on rioxarray:

• aa-toolbox — Toolbox for anticipatory action
• abses — ABSESpy makes it easier to build artificial Social-ecological systems with real GeoSpatial datasets and fully incorporate human behaviour.
• aggfly — Efficient spatial and temporal aggregation of gridded climate data
• arraylake — Python client for ArrayLake
• ashdisperse — Steady state advection-diffusion-sedimentation solver for volcanic ash dispersion
• AST-data-eng — Data engineering for large scale geospatial datasets
• bandsos — .. danger::
• BERATools — An advanced forest line feature analysis platform
• birdhouse-birdy — Birdy provides a command-line tool to work with Web Processing Services.
• blackmarblepy — Georeferenced Rasters of Nighttime Lights from NASA Black Marble data
• bmi-geotiff — Access data and metadata in a GeoTIFF file through an API or a BMI
• bmi-topography — Fetch and cache land elevation data from OpenTopography
• bpnsdata — A package to add marine environmental data to a geopandas dataframe
• ceda-datapoint — DataPoint provides python-based search/access tools for using data primarily from the CEDA Archive.
• CellAutDisp — no summary
• centum — A Python package for water accounting using energy and water balance modeling.
• cerf — An open-source geospatial Python package for assessing and analyzing future electricity technology capacity expansion feasibility.
• cgls-cpe — This package is in the cgls cloud processing environment
• cht-sfincs — no summary
• climada-petals — CLIMADA Extensions in Python
• climatePy — A Python package for getting point and gridded climate data by AOI.
• climdex-kit — Tool for multi-scenario calculation, publishing, and analysis of indices from 3D time-series of climate projections.
• climpy — Tools to analyse climate data for machine learning and event analysis
• cmfd-handler — no summary
• coastpy — Python tools for cloud-native coastal analytics.
• coclico — Python tools for Coastal Climate Core Services
• coincident — Search and analysis of STV Precursor Coincident Datasets
• copro — Python-model build on scikit-learn functions, designed to facilitate the set-up, execution, and evaluation of machine-learning models for the study of the climate-conflict nexus.
• crl-datacube — Utilities for scaling geospatial analyses
• cropclassification — Package to classify crops based on sentinel images.
• cryogrid-pytools — Tools to read in CryoGrid MATLAB data to Python and create forcing data
• cryoswath — Swath processing toolbox for CryoSat-2
• cyfi — Estimate cyanobacteria density in small, inland water bodies using Sentinel-2 satellite imagery.
• damagescanner — Direct damage assessments for natural hazards
• dea-tools — Functions and algorithms for analysing Digital Earth Australia data.
• deafrica-tools — Functions and algorithms for analysing Digital Earth Africa data.
• deepsardl — This is a main package for processeing data for DeepSAR
• duck-dataset — A thin wrapper for tool-spec created Duckdb datasets
• earthkit-data — A format-agnostic Python interface for geospatial data
• earthnet-minicuber — EarthNet Minicuber
• earthscale — Earthscale CLI
• earthstat — EarthStat Library
• easysnowdata — package to easily get data relevant to snow
• ecodatatk — Developed for limnological and hydrological studies
• elwood — An open source dataset transformation, standardization, and normalization python library.
• environmental-risk-metrics — Calculate environmental risk metrics for a given polygon
• eo-validation — Collaborative validation tools for remote sensing imagery
• eodag-cube — Data access for EODAG
• EOmaps — A library to create interactive maps of geographical datasets.
• eopf — Earth Observation Platform Core Python Modules
• 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.
• eotransform-xarray — Implements transformations on xarray data structures, to be used with eotransform streamed_process.
• epigraphhub — Epigraphhub Python package
• expden — Library to compute the experienced density
• FanInSAR — A fantastic InSAR processing library, in a more pythonic way, to accelerate your InSAR processing workflow.
• fastfuels-core — Core algorithms for the FastFuels project
• fcpgtools — Tools to create Flow-Conditioned Parameter Grids (FCPGs) from Flow Direction Rasters (FDRs) and arbitrary rasterized parameter data.
• flipnslide — A concise Python package to preprocess large scientific images for use with GPUs.
• ftw-tools — Fields of The World (FTW) Command Line Interface (CLI) for data management, ML processing, and more.
• gdal-dask-reproject — no summary
• gdptools — Gdptools
• geb — GEB simulates the environment, the individual behaviour of people, households and organizations - including their interactions - at small and large scale.
• geefcc — Forest cover change from Google Earth Engine
• geemap — A Python package for interactive mapping using Google Earth Engine and ipyleaflet
• gemgis — Spatial data processing for geomodeling
• geo-inference — Extract features from geospatial imagery using deep learning models
• 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-re — Geospatial Data Collection and Pre-Analysis Tools
• geofabrics — A package for creating geofabrics for flood modelling.
• geokube — a Python package based on xarray for GeoScience Data Analysis
• geomanager — Wagtail based Geospatial Data Manager
• geopre — no summary
• geopreprova — no summary
• geopreprova1 — no summary
• geopreprova2 — no summary
• geopreprova3 — no summary
• geospatial — A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
• geospatial-analysis-environment — Geospatial analysis environment.
• geost — The Python interface for geological point data in The Netherlands
• geoutils — Analysis and handling of georeferenced rasters and vectors
• gishndev — Desc
• glam-processing — no summary
• goes-ortho — A python package for downloading GOES-R ABI imagery, orthorectifying with a DEM, and creating timeseries
• goes2repro — A package to download and process GOES-16/17 data
• goesgcp — A package to download and process GOES-16/17 data
• google-weather-tools — Apache Beam pipelines to make weather data accessible and useful.
• gregor — A library for spatial aggregation and disaggregation
• gridmarthe — python package to read/write/manage Marthe Grids
• GRSdriver — Driver for L1C satellite images dedicated to GRS processor
• gspatial-plot — A geospatial plotting library built on top of geopandas.
• gspatial-tools — Set of utility tools built on top of Geopandas, Xarray, Rasterio and Rioxarray
• gspy — Data handling
• gval — Flexible, portable, and efficient geospatial evaluations for a variety of data.
• hazelbean — Collection of geospatial algorithms, parallel computation utilities and project management tools.
• hecstac — Create stac objects and metadata from HEC modeling software.
• hf-hydrodata — hydroframe tools and utilities
• honeybees — Honeybees is an agent-based modelling framework targeted at large-scale agent-based models.
• hvplot — A high-level plotting API for the PyData ecosystem built on HoloViews.