Rindcalc is an open source python package created to calculateremote-sensing indices and composites.
Project description
Rindcalc
A Spectral Index Raster Calculator For Satellite Image Processing
For more information visit the Rindcalc documentation
Rindcalc is an open source python library built on numpy and gdal aiming to provide seamless and accurate raster index calculations and composites of satellite and aerial imagery.
It currently consists of index calculation, composite and utility functions for Landsat-8 and USDA NAIP imagery, with Sentinel-2 and MODIS satellite functionality in the works
Roadmap
- Finish Sentinel-2 implementation
- Rework Landsat, NAIP, and Sentinel to operate in classes
- Segmentation and zonal statistics
Install with pip
Dependencies:
- GDAL - need to build from .whl file
- NumPy
pip install rindcalc
Install with conda
conda install -c rindcalc rindcalc
If rindcalc is not importing after conda install on Windows 10 then rindcalc files need to be moved from Lib/pythonX.X/site-packages/ to Lib/site-packages within the conda env folder.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file rindcalc-3.0.0.tar.gz
.
File metadata
- Download URL: rindcalc-3.0.0.tar.gz
- Upload date:
- Size: 10.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a5f59a164fc29b7bedf276a9f1b8e638b1b4fc000798731451e4add4ca445ae7 |
|
MD5 | de716b6a49b451b33923eb5fb8b602e7 |
|
BLAKE2b-256 | 2a77721f20a3fa97076ca3ec43040d5f0a32ab950447186e2925dbf9880612a0 |
File details
Details for the file rindcalc-3.0.0-py3-none-any.whl
.
File metadata
- Download URL: rindcalc-3.0.0-py3-none-any.whl
- Upload date:
- Size: 26.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e39aff114bd06c1a6cd15ab6c9aedd3c4c1073b19fd1f104939d85e1e2473d6b |
|
MD5 | ae57223744d1fd78332de769e5a995af |
|
BLAKE2b-256 | c6509763eb36cdc78340b6afabe5385054d8551192c8c67cf221345b8d90d65e |