TEAM SEESALT
Live Monitoring Active

UN Tech Over Challenge 2

Enhanced Multi-Hazard Data Overlay with Advanced Children Vulnerability Assessment

Zhijun He
zhe@macalester.edu
Lead Developer & Data Scientist
Tiago Maluta
tiago@fundacaolemann.org.br
GIS Specialist & Vulnerability Expert

🛰️ Enhanced Real-time Analysis • 🎯 Advanced Risk Assessment • 🗺️ Interactive Visualization • 🏆 Production Ready

3
Countries Analyzed
9
Satellite Sensors
9
TIF Files Processed
85.6%
Avg Quality Score
0
High Risk Areas

Team SEESALT Innovations

🏆
Enhanced Processing
Advanced Quality Assessment
🎯
Smart Vulnerability
Children-Focused Analysis

🚀 Team Achievements

Enhanced Multi-Sensor Fusion
Advanced quality-weighted integration with spatial analysis
Children Vulnerability Framework
Comprehensive age-specific risk assessment system
Interactive Mapping Suite
Multi-layer visualization with clustering and heat maps
Production-Ready System
Automated pipeline with quality control and monitoring

Enhanced Technology Stack

🛰️
MODIS
Terra/Aqua Enhanced
📡
VIIRS
Suomi NPP Advanced
🌐
CPC
NOAA Integrated

🔬 Enhanced Capabilities

  • Spatial autocorrelation analysis
  • Anomaly detection & trends
  • Enhanced quality scoring
  • Multi-layer mapping
  • Hot spot identification
  • Real-time monitoring

Enhanced Country-by-Country Analysis
Team SEESALT Solution

🇰🇭 Cambodia
Team SEESALT Enhanced Analysis
3
🛰️ Sensors
117.7°C
🌡️ Avg Temp
81%
📊 Coverage
86.7%
⭐ Quality
🎯 Enhanced Children Vulnerability Assessment
Team SEESALT
🟢 Minimal Risk
0.17
Thermal Stress
0.00
Climate Change
0.00
Extreme Weather
0.05
Spatial Risk
0.193
Composite Index
📡 Enhanced Sensor Network Status:
🟢
CPC
Excellent
🟢
MODIS
Excellent
🔵
VIIRS
Good
🇰🇪 Kenya
Team SEESALT Enhanced Analysis
3
🛰️ Sensors
125.7°C
🌡️ Avg Temp
85%
📊 Coverage
86.7%
⭐ Quality
🎯 Enhanced Children Vulnerability Assessment
Team SEESALT
🟢 Low Risk
0.19
Thermal Stress
0.00
Climate Change
0.00
Extreme Weather
0.05
Spatial Risk
0.208
Composite Index
📡 Enhanced Sensor Network Status:
🟢
CPC
Excellent
🔵
VIIRS
Good
🟢
MODIS
Excellent
🇹🇯 Tajikistan
Team SEESALT Enhanced Analysis
3
🛰️ Sensors
91.6°C
🌡️ Avg Temp
78%
📊 Coverage
83.3%
⭐ Quality
🎯 Enhanced Children Vulnerability Assessment
Team SEESALT
🟢 Low Risk
0.21
Thermal Stress
0.00
Climate Change
0.00
Extreme Weather
0.05
Spatial Risk
0.249
Composite Index
📡 Enhanced Sensor Network Status:
🟢
MODIS
Excellent
🟡
VIIRS
Moderate
🟢
CPC
Excellent

Team SEESALT Technology Excellence

Advanced geospatial technologies with enhanced mapping and vulnerability assessment

👥 Team SEESALT Members

Zhijun He
zhe@macalester.edu
Lead Developer & Data Scientist
Tiago Maluta
tiago@fundacaolemann.org.br
GIS Specialist & Vulnerability Expert
Enhanced Python Ecosystem
Advanced geospatial processing with Rasterio, enhanced NumPy operations, Pandas data manipulation, and interactive Matplotlib visualizations
Multi-Sensor Integration
Enhanced fusion of MODIS, VIIRS, and CPC data with quality-weighted algorithms, spatial autocorrelation, and temporal trend analysis
Advanced Analytics Engine
Enhanced time series analysis, anomaly detection, seasonality patterns, and comprehensive vulnerability modeling for children
Enhanced Interactive Mapping
Multi-layer visualization with satellite imagery, clustering, heat maps, detailed popups, and real-time monitoring capabilities
Vulnerability Assessment
Comprehensive risk evaluation with thermal stress, climate change impacts, extreme weather events, and spatial vulnerability analysis
Production-Ready Architecture
Scalable, cloud-ready system with automated quality control, real-time monitoring, and comprehensive reporting capabilities

🏆 Team SEESALT - UN Tech Over Challenge 2 Complete Solution

Enhanced multi-hazard data overlay with advanced children vulnerability assessment

Enhanced Real-time Monitoring
Advanced Vulnerability Assessment
Interactive Multi-layer Mapping
Production Ready System
🎯 Key Innovations by Team SEESALT
• Enhanced Quality Scoring:
Comprehensive assessment with recommendations
• Spatial Autocorrelation:
Advanced pattern detection and analysis
• Anomaly Detection:
Extreme weather event identification
• Multi-layer Mapping:
Satellite, terrain, and heat map integration

Generated: 2025-06-17 12:24:44 UTC | Status: ✅ Production Ready | Team: SEESALT (Zhijun He & Tiago Maluta) | Data Sources: NASA MODIS, NOAA VIIRS, CPC