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(Data Science in Space Exploration) - Coggle Diagram
Data Science in Space Exploration
Missions & Instruments
Orbiters / Landers / Rovers
SmallSats & CubeSats
Telescopes (HST, JWST, Roman)
Ground Stations (DSN)
Sensors
Imagers (RGB, Multispectral, Hyperspectral)
Radar / SAR / LIDAR
Spectrometers (IR, UV, X-ray, Gamma)
Magnetometers / Particle Detectors
Data Engineering
Telemetry decoding & CCSDS
Onboard compression & storage
Ground pipelines / ETL / ELT
Metadata & provenance (STAC, PDS4)
Streaming & event buses (Kafka)
Data lakes & warehouses
APIs & access services
Math & Statistics
Linear algebra / optimization
Time-series / filtering (Kalman)
Bayesian inference / MCMC
Uncertainty quantification
Anomaly detection
Machine Learning
Supervised
Image classification
Object detection (craters, boulders)
Semantic segmentation (landforms)
Change detection
Regression (retrievals)
Unsupervised
Clustering / mixture models
Dimensionality reduction (PCA/UMAP)
Self-supervised learning
Deep Learning
CNNs / Vision Transformers
3D / point clouds
Time series (RNN, TCN)
Physics-informed nets (PINNs)
Generative models (Diffusion)
NLP
LLMs for ops & science
Summarization of telemetry
Knowledge graphs
Mission chat & copilot
Reinforcement Learning
Autonomous navigation
Scheduling & planning
Adaptive sampling
Science Domains
Planetary science (Moon, Mars, Europa)
Astrophysics & cosmology
Heliophysics / Space Weather
Earth observation from space
Exoplanets & habitability
Calibration & Data Quality
Radiometric / geometric calibration
Cross-sensor harmonization
Outlier handling & gaps
Labeling & curation
Validation & benchmarking
Ops & Ground Systems
Mission control analytics
Health & status monitoring
Fault detection / isolation / recovery
Telecom link prediction
Trajectory / navigation
Visualization & Communication
Dashboards (ops & science)
3D/VR globes & terrain
Storytelling & outreach
Notebooks / reports
Human-in-the-loop review
Governance & Ethics
Open science & FAIR
Security & access control
Bias, transparency, accountability
Reproducibility & provenance
Sustainability / cost / risk
Tooling & Languages
Python / R / Julia / MATLAB
NumPy, SciPy, pandas, xarray
PyTorch / TensorFlow / JAX
RasterIO, GDAL, spiceypy, astropy
Dask, Ray, Spark
Airflow / Prefect / Dagster
Docker / K8s / Cloud (AWS/GCP/Azure)
Onboard AI & Edge
Radiation-tolerant hardware
Model compression / quantization
Event-driven science triggers
Prioritized downlink
Distributed swarm intelligence