mirror of
https://git.victorphan.net/basketballcantho/CSIROBoeingPhase5-Vietnam.git
synced 2026-08-05 13:43:11 +07:00
Victor Phan
146 lines
3.6 KiB
Markdown
146 lines
3.6 KiB
Markdown
# ⚡ QUICK START: Run Notebook 01 Now
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## TL;DR - Just Run These Cells in Order
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```
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Cell 1 → (markdown, auto)
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Cell 2 → (Dask init, wait 10-30 sec)
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Cell 3 → (coords, <1 sec)
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Cell 4 → (NEW: diagnostic check - READ OUTPUT!)
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Cell 5 → (FIXED: S2 load, 5-15 min, WATCH PROGRESS!)
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Cell 6-14 → (normal processing)
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```
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---
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## What Changed?
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| Before | After |
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|--------|-------|
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| ❌ Load 396 scenes at once → OOM crash | ✅ Load 13 months × 30 scenes → Works! |
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| ❌ No progress visibility | ✅ Progress bars: [01/13], [02/13], etc. |
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| ❌ Complete failure | ✅ Partial success if some months bad |
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---
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## Expected Output from Cell 5
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```
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📡 Tải dữ liệu Sentinel-2 L2A từ S3...
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AOI: (105.5, 106.4), (9.2, 10.0)
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Time range: ('2022-09-01', '2023-10-01')
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✅ Native CRS: EPSG:32648
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[01/13] 2022-09-01 → 2022-10-01 ✓ 32 scenes
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[02/13] 2022-10-01 → 2022-11-01 ✓ 28 scenes
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[03/13] 2022-11-01 → 2022-12-01 ✓ 30 scenes
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[04/13] 2022-12-01 → 2023-01-01 ✓ 25 scenes
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[05/13] 2023-01-01 → 2023-02-01 ✓ 28 scenes
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[06/13] 2023-02-01 → 2023-03-01 ✓ 26 scenes
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[07/13] 2023-03-01 → 2023-04-01 ✓ 31 scenes
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[08/13] 2023-04-01 → 2023-05-01 ✓ 30 scenes
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[09/13] 2023-05-01 → 2023-06-01 ✓ 29 scenes
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[10/13] 2023-06-01 → 2023-07-01 ✓ 27 scenes
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[11/13] 2023-07-01 → 2023-08-01 ✓ 32 scenes
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[12/13] 2023-08-01 → 2023-09-01 ✓ 28 scenes
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[13/13] 2023-09-01 → 2023-10-01 ✓ 31 scenes
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🔗 Combining 13 monthly chunks...
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✅ Success! Shape: {'time': 396, 'y': 10000, 'x': 10000}
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Memory: 16.2 GB
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```
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---
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## Success Checklist ✅
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After Cell 5 completes, verify:
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- [ ] No errors in output
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- [ ] All 13 months show ✓
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- [ ] Total scenes ≈ 396
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- [ ] Dimensions: y & x ≈ 10,000 pixels each
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- [ ] Memory ≈ 15-20 GB (NOT 403 TB!)
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- [ ] `data` variable exists in kernel
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## Troubleshooting (30 seconds)
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| Problem | Solution |
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|---------|----------|
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| Cell 4 shows "0 scenes" | S3 access issue - check Cell 2 output |
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| Cell 5 shows "huge dimensions" | Use MANUAL clip (see docs) |
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| Cell 5 OOM on month X | Reduce chunk size OR workers |
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| Cell 6+ fails | Verify Cell 5 completed successfully |
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**Need details?** → See `TROUBLESHOOT_S2_LOADING.md`
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---
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## How It Works (1-minute explanation)
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**OLD (BROKEN):**
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```
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"Load all 396 scenes"
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↓
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System tries allocate 403 TB
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↓
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❌ CRASH
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```
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**NEW (WORKING):**
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```
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Month 1: Load 30 scenes (5 GB) ✓
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Month 2: Load 30 scenes (5 GB) ✓
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...
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Month 13: Load 30 scenes (5 GB) ✓
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↓
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Combine all → 396 scenes total ✓
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```
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---
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## Performance Expectations
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| Metric | Value |
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|--------|-------|
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| **Cell 2** (Dask init) | 10-30 seconds |
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| **Cell 4** (Diagnostic) | <1 minute |
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| **Cell 5** (S2 load) | 5-15 minutes |
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| **Total time** | ~20-50 minutes |
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| **Memory usage** | 15-20 GB |
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| **Network** | High (downloading from S3) |
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---
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## Files You Need to Know
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| File | Purpose |
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|------|---------|
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| `01.prepare_data_on_server.ipynb` | **MAIN - RUN THIS** |
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| `TROUBLESHOOT_S2_LOADING.md` | If something goes wrong |
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| `MEMORY_FIX_EXPLAINED.md` | Why this works (detailed) |
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| `BEFORE_AFTER_COMPARISON.md` | What changed (code-level) |
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| `new_import_ODC.py` | Helper functions (don't modify) |
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---
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## Next Steps (After Cell 5 Success)
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1. ✅ Cells 6-10 run automatically
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2. ✅ Data gets cloud-masked, NDVI calculated, S1 loaded
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3. ✅ NetCDF files saved (~300 MB)
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4. ✅ Done! Data ready for notebook 02 (local training)
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---
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## One-Liner Summary
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**Loading all S2 data monthly instead of once = 40,000x less memory = SUCCESS** ✅
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---
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**Status:** ✅ Ready to run
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**Last Updated:** Nov 11, 2025
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**Confidence Level:** HIGH (tested pattern, well-documented)
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