🛰️ CONSTELLATIONS SECURED: Sentinel-1, Sentinel-2, Landsat-8, Landsat-9, Suomi-NPP VIIRS ● HUD STATUS: TELEMETRY FEED LIVE 📡 CDSE RESOLUTION: 10m Optical, 20m SAR ● TEMPORAL VALIDITY: 5-Day Revisit Interval ⚡ ANOMALIES PARSED: 8 High-Confidence Detections Logged ● PEARSON CORRELATION (NTL vs GDP): r = 0.724 (p = 0.0002)
Bachelor Thesis Artifact

Space-Based
Economic Intelligence|

Detecting hidden resource extraction patterns, supply chain shifts, and regional economic anomalies by querying open ESA, NASA, and USGS satellite APIs coupled with unsupervised machine learning models.

ORBITAL FLIGHT TRACKER: 7,521 active payloads registered
Launch Sat-Map Explorer View Thesis Drafts
Telemetry Grid Node 001

STUDY MONITORING GRID

Click a marker to explore anomaly details, confidence ratings, and multi-spectral histories.

Basemap:
Heatmap Overlay:
GPS: 0.00000, 0.00000
Temporal Navigation Timeline All Time
2021 2022 2023 2024 2025+
Anomaly Selected Pending Selection

No Region Selected

Coordinates Pending

Detection Confidence 0%
CI Low Bounds 0%
CI High Bounds 0%
Temporal Z-Score: N/A
Uncertainty Margin: N/A
Before / After Imagery Comparison
Spectral Band Rendering Mode
RGB (Natural Color): True-to-life visualization as seen by the human eye (B4, B3, B2).

Select a location on the map to run multi-spectral parsing and view detailed economic indicators.

Verification Ground Truth None

Spectral Profile Radar

Illustrating normalized band ratio signatures (NDVI, NDWI, BSI) comparing selected anomalies vs. baseline.

Calculated via Sentinel-2 Spectral Response Functions

Multi-Spectral Formulations

Mathematical indicators used to translate satellite reflectance bands into mineral, crop, and water anomalies.

NDVI (Vegetation Density Index)

Measures vegetation canopy health. Sharp drops signify logging, construction, or mining clearance.

(NIR - Red) / (NIR + Red)
BSI (Bare Soil Index)

Highlights exposed bedrock and topsoil. Surges detect road building, drilling sites, and tailing footprints.

((SWIR1 + Red) - (NIR + Blue)) / ((SWIR1 + Red) + (NIR + Blue))
NDWI (Normalized Water Index)

Flags surface water changes. Critical for delineating lithium evaporation ponds and slurry dams.

(Green - NIR) / (Green + NIR)
Hypothesis Verification Engine

STATISTICAL EVIDENCE & ANALYSIS

Cross-analyzing space-based indicators against regional macroeconomics and ground-truth registries.

VIIRS Night-time Lights vs GDP Correlation

Radiance Z-Score GDP Growth
Red shaded region indicates the 2023 industrial energy crisis; blue shaded region indicates the 2025 automotive sector recovery.

Empirical Performance Metrics

F1-Score 0.000 Target > 0.80
Pearson r r = 0.000 Macro Proxy Valid
p-Value p = 0.0000 Highly Significant
Moran's I I = 0.000 Spatial Clustering
Precision 0.000 Low False Positives
Recall 0.000 Low Miss Rate
Sample Size n = 0
Sensing Quota 0 tiles

Spatial Pipeline Architecture

Extract-Transform-Load (ETL) pipeline logic mapped from raw registries to the visualization endpoint.

Ingestion GEE & CDSE APIs
Masking QA60 Cloud-Clipper
AI Analysis Isolation Forest
Serialization JSON Cache Docs

APIs Constellation Network

Mapping relationships between orbital sensors, public finance overlays, and processed outputs.

DSS S-2 L-8/9 VIIRS WB API
Hover over nodes to inspect dataset pipelines.

Academic Thesis Artifact

Czech University of Life Sciences Prague | Faculty of Economics and Management (PEF) | KII

Chapter 1: Introduction

1.1 Background & Motivation

In the modern digital economy, information engineering has expanded beyond terrestrial borders. The rise of Earth Observation (EO) satellite constellations, coupled with cloud-based geospatial computing platforms, has birthed a new domain: Space-Based Economic Intelligence.

Satellite remote sensing offers a continuous, independent, and spatially explicit alternative. Civilian constellations funded by the European Space Agency (ESA Copernicus) and the United States Geological Survey (USGS/NASA) capture high-resolution multi-spectral, radar, and atmospheric data daily.

1.2 Research Questions

  • RQ1: How reliably can open satellite spectral APIs identify localized industrial and mining resource anomalies compared to ground truth records?
  • RQ2: What is the correlation between VIIRS night-time light fluctuations and macroeconomic indicators in the target regions?
  • RQ3: What pipeline latency and processing constraints limit the scalability of free satellite APIs?
Author / Student

Eren Ozturk

XOZTE001@studenti.czu.cz

Supervisor / Advisor

Dr. Jiří Brožek

Department of Informatics, PEF CZU

Institution

CZU Prague

Czech University of Life Sciences Prague