Workflow / Requirements
Satellite imagery scheduling optimization pipeline.
A functional mock workflow for transforming mission requests, weather constraints, vendor availability, cost signals, and collection windows into an explainable human-approved recommendation.
Mission Request Intake
Operator request
area
AOI Alpha / North Atlantic maritime corridor
time Window
Next 90 minutes
priority
Time-Critical
desired Resolution
Sub-meter confirmation
imagery Type
Multi-source
max Cost
$42K
weather Sensitivity
High for optical / low for SAR
Vendor Integration Pipeline
Scheduling hub and adapter flow
Mission Request
Scheduling Hub
Vendor API Adapters
Weather / Cloud Data
Cost Model
Collection Opportunity Forecast
Optimized Recommendation
Public imagery placeholder
Weather placeholder
Mock commercial vendor A
Mock commercial vendor B
Mock SAR provider
Live Weather Intelligence
Collection confidence input
Cloud Cover
34%
Visibility
18 km
Precipitation
0.1 mm
Wind
270° / 17 kt
Sea State
MODERATE
Temperature
12°C
Weather Impact Score
24/100
Confidence Impact
-6 pts
Forecast: Broken cloud bands with improving optical collection window
Optimization Engine
Ranked vendor options
| Vendor | Collection Window | Estimated Cost | Resolution | Weather Risk | Speed Score | Confidence | Score | Decision |
|---|---|---|---|---|---|---|---|---|
| Mock SAR Provider | 00:22 UTC | $14.1K | 100 cm | 5% | 96 | 92% | 100 | Recommended |
| Weather Placeholder | Continuous | $0.6K | 5000 cm | 14% | 100 | 86% | 78 | Backup |
| Mock Commercial Vendor A | 01:48 UTC | $7.2K | 300 cm | 31% | 72 | 78% | 75 | Rejected |
| Mock Commercial Vendor B | 02:15 UTC | $18.4K | 30 cm | 38% | 64 | 81% | 73 | Rejected |
| Public Imagery Placeholder | 03:40 UTC | $1.8K | 1000 cm | 24% | 38 | 58% | 55 | Rejected |
Decision Output
Explainable collection recommendation
Best Collection Option
Mock SAR Provider
Backup Option
Weather Placeholder
Mission Success Probability
92%
Estimated Cost
$14.7K
Reasoning summary
Mock SAR Provider is recommended because it offers the strongest time-critical collection score, low weather exposure, high availability, and strong confidence inside the mission window. Weather Placeholder remains available as the backup path to reduce single-provider dependency.
Risk notes: optical providers remain weather-sensitive, lower-cost public imagery is useful for context only, and full-resolution imagery storage is deferred for later cloud architecture.
Audit Log
Decision trace
09:31
Mission request normalized
AOI, time window, budget, and sensor type captured.
09:32
Vendor adapters queried
Mock commercial, public imagery, weather, and SAR providers evaluated.
09:33
Optimization complete
Mock SAR Provider ranked highest at 100/100.
Requirements Traceability Matrix
| Requirement | Platform Feature | Status |
|---|---|---|
| Multi-vendor integration | Vendor API adapter layer and normalized tasking schema | Modeled |
| Weather-aware scheduling | Weather/cloud risk input in vendor scoring | Modeled |
| Time-critical prioritization | Speed score and collection-window weighting | Active |
| Cost optimization | Cost penalty compared against operator budget | Active |
| Redundant collection reduction | Ranked stack selects primary and backup options | Modeled |
| Data fusion support | Multi-source recommendation supports SAR, optical, and public placeholders | Ready |
| Security and integrity | Audit log, human approval, and metadata traceability | MVP |
| Scalability/load testing | Mock adapters isolate future feed-load testing | Planned |
| UI/functionality | Operator workflow with intake, ranking, approval, and traceability | Active |
| Cost-effectiveness analysis | Estimated cost is part of deterministic scoring | Active |
Storage / Data Architecture
Store metadata, tasking requests, scoring results, audit logs, and thumbnails locally.
Do not store full-resolution imagery yet.
Full imagery storage should move to AWS S3 later.
Local target: 20-50 GB for MVP.
Expansion target: 250 GB-1 TB if storing real imagery locally.