Open-source Python tooling for remote sensing, climate and geohazards.
FEZtool is an open-source initiative building tools for Earth-science researchers, engineers and students. Every tool is released openly, documented in plain language, and designed so that a standard analysis takes a few lines of code rather than a bespoke toolchain.
Processing of multispectral satellite and aerial imagery, from spectral indices to classification.
Methods for geology, land cover and environmental assessment that hold up in peer review.
Analytics that support climate-change studies and the management of natural resources.
Reproducible, tested Python packages built on the established scientific stack.
Each tool covers one Earth-science domain and shares the same principles: open code, a small and consistent API, and documentation written for practitioners.
Remote sensing
An open-source Python package for geospatial multispectral image processing and remote sensing: spectral indices, filters, image enhancement, change detection, clustering and classification behind one calculator API.
$ pip install fezrsFault and geohazard monitoring
Version 1 is an earthquake monitor. Every 30 minutes it collects reports from IRSC, USGS and EMSC, merges reports of the same quake, tags fault zones, significant events and active sequences, and publishes a feed, a map and downloadable data.
A research tool, not an official earthquake warning service.
Climate change
Climate-change analytics: trend detection and indicator calculation for climate and land-surface time series.
FEZrs is an open-source Python package for geospatial multispectral image processing and remote sensing. It brings indices, filters, enhancement, texture, PCA, clustering, change detection and SVM classification into a single, consistent framework for research and teaching.
Every calculator inherits one base class, so an NDVI, a Sobel filter and a K-Means classification are called the same way. No plotting or raster I/O code is needed.
Import a calculator
Pick the operation you need from the fezrs package.
Point it at your bands
Pass the GeoTIFF band paths the method requires, such as NIR and red.
Export the result
execute() writes a publication-ready figure; to_raster() then writes a georeferenced GeoTIFF with the source CRS and transform.
from fezrs import NDVICalculator
ndvi = NDVICalculator(nir_path="B5.tif", red_path="B4.tif")
ndvi.execute(output_path="./outputs")
# Optional: full-precision GeoTIFF for GIS
ndvi.to_raster(output_path="./outputs/ndvi.tif")$ pip install fezrs Thirty-seven calculators in five groups, as listed in the FEZrs paper. Each name maps to a class, so NDVI is NDVICalculator.
Satellite-specific helpers (Landsat 8 and GeoEye) are also included.
Built on
Every image below was produced by FEZrs from multispectral scenes in the project's example folder. Select an operation to view its output.
GaussianCalculatorGaussian smoothing suppresses high-frequency noise while keeping broad spatial structure.Drag the handle to move between the two results.
SobelGaussian
K-MeansHSVFEZrs has been applied in peer-reviewed and conference work on land cover, multispectral analysis and engineering geology, and in field-based studies.
Merit Award, Ideator category 9th Iran National Young Scientists Festival
Software paper under review Submitted to the Journal of Open Source Software, with ten co-authors from the FEZrs project. Read the manuscript
2025, Kharazmi Journal of Earth Sciences 11(1)
M. Talkhablou, M. Farmahini Farahani, S. Siah Mansouri
SVM, K-Means and spectral indices
2024, 2nd International Conference for Iranian Geography and Earth Sciences Students
K. Rezaei, M. Farmahini Farahani
K-Means and spectral indices
2024, 8th Symposium of Sedimentological Society of Iran
M. Farmahini Farahani, K. Rezaei, S. Karamollahi, F. Jafari Moghadam
Principal component analysis
Field study, Isfahan, Iran
FEZrs used for field-based remote sensing and geospatial workflows
Multispectral analysis
FEZdocs covers installation, the full API reference for every FEZrs calculator, and worked examples. It is released under CC BY 4.0 and maintained alongside the code.
Planning to use FEZrs in a course, a research group or a production workflow? Tell us about your data and goals, and we will walk you through the tools that fit.
You can also write to info@feztool.com.
The core team behind FEZtool. FEZrs itself is the work of ten paper co-authors and a wider group of contributors across Earth science and software engineering.
Founder, Research & Development
Geophysics PhD researcher at the Chinese University of Hong Kong. Leads the scientific direction of FEZtool and the design of the FEZrs methods.
Product, Design & Engineering
Shapes the product and its interfaces, and is the lead maintainer of the FEZrs codebase, from architecture to release.
Full-stack Engineering
Builds and maintains FEZtool's web applications and services, connecting the Python tooling to the people who use it.
Business Development & Operations
Manages partnerships, operations and the team, and is the corresponding author of the FEZrs paper.
Backend Engineering & Security
Develops FEZtool's Python backend services and geospatial software, with a background in web and API security testing.
Technical Strategy Lead
Leads technical strategy at FEZtool and is a co-author of the FEZrs software paper.
Questions about the tools, collaboration proposals or bug reports are all welcome. For code issues, GitHub is the fastest route.
Universities that FEZtool works with on research and teaching.
The Chinese University of Hong Kong
University of Tehran
Shamsipour Technical College
Kharazmi University
Islamic Azad University