OPEN RESEARCH SOFTWARE FOR TÜRKİYE

TÜRKİYE Seismic Intelligence & Resilience Platform

A transparent, reproducible platform that transforms earthquake catalogues, geospatial inputs and satellite acquisition metadata into decision-support analytics for Türkiye.

Seismic Analytics GeoAI Sentinel-1 Urban Exposure Open Source
ARCHIVED RESEARCH SOFTWARE Version DOI 10.5281/zenodo.21797833 Version 1.0.0 preserved as a permanent scholarly record on Zenodo.
Türkiye Seismic Intelligence and Resilience Platform — seismic risk monitoring, geospatial intelligence and resilience analytics
Research-grade seismic intelligence focused on Türkiye
1.0.0 Versioned release
USGS Live public catalogue
Sentinel-1 Satellite discovery
MIT Open-source licence
DOI Zenodo preservation

CORE CAPABILITIES

From raw seismic records to transparent analytical evidence

The platform combines catalogue analytics, quality control, spatial exploration, exposure screening, satellite workflow readiness and research-ready exports.

01

Live catalogue analytics

Near-real-time USGS earthquake records for Türkiye with configurable lookback, magnitude filters, timestamps and source transparency.

02

Scientific screening

Magnitude, depth, shallow-event share, Gutenberg–Richter b-value, rolling event-rate anomaly screening and DBSCAN spatial clustering.

03

Urban exposure intelligence

Radius-based screening of user-supplied population, facility and infrastructure points for transparent exploratory proximity analysis.

04

Sentinel-1 workflow readiness

Copernicus STAC acquisition discovery, orbit metadata inspection, same-orbit pair planning and processed InSAR displacement-point exploration.

05

Reproducible engineering

Deterministic demo data, automated tests, CI, documented methods, release validation, citation metadata and archived research outputs.

06

Research-ready outputs

CSV, Excel, Parquet and GeoJSON-compatible exports support scientific Python, GIS, Power BI, Tableau and downstream analysis.

SYSTEM ARCHITECTURE

A reproducible research pipeline built for auditability

Public and user-supplied data are validated, normalised and processed through a transparent analytical layer before reaching interactive reporting, APIs and export workflows.

USGS / Local Data → Validation → Analytics → Geo Intelligence → Reporting / API / Export
Python Pandas NumPy scikit-learn Plotly Streamlit FastAPI GitHub Actions Zenodo

THREE DATA MODES

Run immediately, connect to live data or analyse a local catalogue

A

Reproducible Demo

Synthetic, explicitly labelled demonstration data for immediate execution without credentials.

B

Live USGS

Recent public earthquake records constrained to the geographical region of Türkiye.

C

Local CSV / Excel

Upload a local catalogue and normalise common schemas into the platform's internal event model.

RESPONSIBLE-USE BOUNDARY

Decision-support research, not earthquake prediction

The platform does not predict earthquakes, issue early warnings, certify buildings, estimate official losses or replace AFAD, USGS, local authorities, engineering inspections or emergency-management institutions.

CITATION & PRESERVATION

Cite DepremNabız AI

Version 1.0.0 is preserved on Zenodo with a permanent DOI, providing a stable scholarly reference independent of the evolving GitHub repository.

Faramarz Kowsari

Türkiye Seismic Intelligence & Resilience Platform (DepremNabız AI), Version 1.0.0.

https://doi.org/10.5281/zenodo.21797833
Faramarz Kowsari

AUTHOR & MAINTAINER

Faramarz Kowsari

Author, Software Engineer and AI researcher based in Istanbul, working across research software, data engineering, artificial intelligence and reproducible technical publishing.