pysatgeo
pysatgeo is a small Python package for raster and vector geospatial
processing.
The project started as a learning repo for packaging, CI, and geospatial utilities. It has now been trimmed down to a smaller set of maintained modules with clearer imports, better tests, and lighter docs.
Current Scope
The package is organized into a few focused modules:
raster: reprojection, clipping, stacking, alignment, polygonizingvector: CRS assignment, format conversion, clipping, dissolveraster_analysis: normalization, reclassification, clusteringterrain: DEM-related helpers such as slope and aspectsampling: point generation and raster samplingranking: simple AHP-style ranking helpersstyles,netcdf, andgee: smaller utility modules
Project Status
This package is still modest, but it is much more coherent than the original experimental repo.
- Public imports are available from
pysatgeoitself. - Top-level imports are resolved lazily to keep
import pysatgeolightweight. - Core behavior is covered by automated tests.
- Old experimental modules that were not maintained or documented have been removed.
Installation
Because the package depends on GDAL, rasterio, and geopandas, a Conda
environment is usually the easiest setup, especially on Windows.
Example:
conda create -n pysatgeo python=3.11 -y
conda activate pysatgeo
conda install -c conda-forge geopandas rasterio rioxarray gdal pyarrow shapely xarray scikit-learn matplotlib mapclassify scipy pytest -y
pip install pysatgeo
If you are working from this repository:
pip install -r requirements.txt
pip install -e .
Quick Start
Import the package directly:
import pysatgeo
Use functions from the top level:
import pysatgeo
pysatgeo.reproject_clip_resample_tiff(...)
pysatgeo.assign_crs_to_vector(...)
Module-level imports still work too:
from pysatgeo.raster import reproject_clip_resample_tiff
from pysatgeo.vector import assign_crs_to_vector
Development
Run the test suite from the repository root:
conda run -n pysatgeo pytest -q
The current test suite covers:
- top-level package import behavior
- raster and vector validation paths
- raster sampling and analysis helpers
- ranking helpers
- NetCDF and style parsing utilities
Documentation
Project documentation lives in the docs/ folder and is published at:
https://JPPereira93.github.io/pysatgeo
The most useful pages are:
docs/usage.mdfor quick examplesdocs/installation.mdfor environment setup- the API Reference pages for module docs
License
MIT License
Metadata
Release files for pysatgeo 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pysatgeo-1.0.0.tar.gz | 23.1 kB | Without provenance | Details for pysatgeo-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pysatgeo-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for pysatgeo-1.0.0-py3-none-any.whl |
Total release size: 45.2 kB
Release files / pysatgeo-1.0.0.tar.gz
| Download URL | pysatgeo-1.0.0.tar.gz |
|---|---|
| Size | 23.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / pysatgeo-1.0.0-py3-none-any.whl
| Download URL | pysatgeo-1.0.0-py3-none-any.whl |
|---|---|
| Size | 22.1 kB |
| Tags | Python 3 |
|
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