Raster processing benchmarks for Python and R packages

Overview

Raster processing benchmarks

This repository contains a collection of raster processing benchmarks for Python and R packages. The tests cover the most common operations such as loading data, extracting values by points, downsampling, calculating NDVI, writing multilayer, cropping by extent and calculating zonal statistics. The comparison is made from the user's perspective (the simplest functions are used and the code is not optimized), so the results do not represent the best performance.

The detailed results are available at https://kadyb.github.io/raster-benchmark/report.html.

Software

Python:

R:

Reproduction

  1. Download raster data (851 MB) from Google Drive or Earth Explorer (original source, registration required) and then unzip to data/.
  2. Run all benchmarks using batch script (run_benchmarks.sh) or single benchmarks files.

Batch script

cd raster-benchmark
./run_benchmarks.sh

Single benchmark

Rscript stars/crop.R
python3 rasterio/crop.py

Dataset

Landsat 8 satellite scene (10 bands, 30 m resolution, 7771 x 7871 pixels) was used for tests.

Scene ID: LC08_L1TP_190024_20200418_20200822_02_T1

Hardware configuration

  • CPU: Intel Xeon CPU E5-2620 v2 @ 2.10GHz
  • RAM: 64 GB
  • OS: Pop!_OS 20.04 LTS

Acknowledgment

Landsat-8 image courtesy of the U.S. Geological Survey, https://earthexplorer.usgs.gov/

Owner
Krzysztof Dyba
Spatial Data Science | Remote Sensing | R
Krzysztof Dyba
geemap - A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

Qiusheng Wu 2.4k Dec 30, 2022
When traveling in the backcountry during winter time, updating yourself on current and recent weather data is important to understand likely avalanche danger.

Weather Data When traveling in the backcountry during winter time, updating yourself on current and recent weather data is important to understand lik

Trevor Allen 0 Jan 02, 2022
Automated download of LANDSAT data from USGS website

LANDSAT-Download It seems USGS has changed the structure of its data, and so far, I have not been able to find the direct links to the products? Help

Olivier Hagolle 197 Dec 30, 2022
Geocode rows in a SQLite database table

Geocode rows in a SQLite database table

Chris Amico 225 Dec 08, 2022
Build, deploy and extract satellite public constellations with one command line.

SatExtractor Build, deploy and extract satellite public constellations with one command line. Table of Contents About The Project Getting Started Stru

Frontier Development Lab 70 Nov 18, 2022
gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data

gpdvega gpdvega is a bridge between GeoPandas a geospatial extension of Pandas and the declarative statistical visualization library Altair, which all

Ilia Timofeev 49 Jul 25, 2022
Create Siege configuration files from Cloud Optimized GeoTIFF.

cogeo-siege Documentation: Source Code: https://github.com/developmentseed/cogeo-siege Description Create siege configuration files from Cloud Optimiz

Development Seed 3 Dec 01, 2022
Pure Python NetCDF file reader and writer

Pyncf Pure Python NetCDF file reading and writing. Introduction Inspired by the pyshp library, which provides simple pythonic and dependency free data

Karim Bahgat 14 Sep 30, 2022
Pandas Network Analysis: fast accessibility metrics and shortest paths, using contraction hierarchies :world_map:

Pandana Pandana is a Python library for network analysis that uses contraction hierarchies to calculate super-fast travel accessibility metrics and sh

Urban Data Science Toolkit 321 Jan 05, 2023
How to use COG's (Cloud optimized GeoTIFFs) with Rasterio

How to use COG's (Cloud optimized GeoTIFFs) with Rasterio According to Cogeo.org: A Cloud Opdtimized GeoTIFF (COG) is a regular GeoTIFF file, aimed at

Marvin Gabler 8 Jul 29, 2022
r.cfdtools 7 Dec 28, 2022
Deal with Bing Maps Tiles and Pixels / WGS 84 coordinates conversions, and generate grid Shapefiles

PyBingTiles This is a small toolkit in order to deal with Bing Tiles, used i.e. by Facebook for their Data for Good datasets. Install Clone this repos

Shoichi 1 Dec 08, 2021
A Django application that provides country choices for use with forms, flag icons static files, and a country field for models.

Django Countries A Django application that provides country choices for use with forms, flag icons static files, and a country field for models. Insta

Chris Beaven 1.2k Jan 03, 2023
Evaluation of file formats in the context of geo-referenced 3D geometries.

Geo-referenced Geometry File Formats Classic geometry file formats as .obj, .off, .ply, .stl or .dae do not support the utilization of coordinate syst

Advanced Information Systems and Technology 11 Mar 02, 2022
Logging the position of the car on an sdcard

audi-mmi-3g-gps-logging Logging the position of the car on an sdcard, startup script origin not clear to me, logging setup and time change is what I d

2 May 31, 2022
A compilation of several single-beam bathymetry surveys of the Caribbean

Caribbean - Single-beam bathymetry This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide ra

Fatiando a Terra Datasets 0 Jan 20, 2022
Rasterio reads and writes geospatial raster datasets

Rasterio Rasterio reads and writes geospatial raster data. Geographic information systems use GeoTIFF and other formats to organize and store gridded,

Mapbox 1.9k Jan 07, 2023
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.

OSMnx OSMnx is a Python package that lets you download geospatial data from OpenStreetMap and model, project, visualize, and analyze real-world street

Geoff Boeing 4k Jan 08, 2023
Mmdb-server - An open source fast API server to lookup IP addresses for their geographic location

mmdb-server mmdb-server is an open source fast API server to lookup IP addresses

Alexandre Dulaunoy 67 Nov 25, 2022
PySAL: Python Spatial Analysis Library Meta-Package

Python Spatial Analysis Library PySAL, the Python spatial analysis library, is an open source cross-platform library for geospatial data science with

Python Spatial Analysis Library 1.1k Dec 18, 2022