🌀️ Conversations with AI — 395

Next,

2 failures.

😁

@select datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311100223-103001010B9A1B00
@datacube ingest scope=rgb .
@open QGIS .

🧑🏽‍🚒 5 acquisition(s)
🧑🏽‍🚒 #01: 2025–01–13T19:06:55Z — 43.2%
🧑🏽‍🚒 #02: 2025–01–14T18:30:58Z — 14.6%
🧑🏽‍🚒 #03: 2025–01–14T18:36:40Z — 16.5%
🧑🏽‍🚒 #04: 2025–01–15T18:52:40Z — 13.1%
🧑🏽‍🚒 #05: 2025–01–16T18:58:02Z — 36.6%

ingest_building: generate the histogram of damage ✅

🧑🏽‍🚒 observation counts: 6X: 1
🧑🏽‍🚒 88 object(s) -> 63 ingested -> 1 buildings(s)

The last day seems cloudy.

035029-377081:
  history:
    '2025-01-13T19:06:55Z': 0.4315088391304016
    '2025-01-14T18:30:58Z': 0.1455056369304657
    '2025-01-14T18:36:40Z': 0.16476252675056458
    '2025-01-15T18:52:40Z': 0.1308642327785492
    '2025-01-16T18:58:02Z': 0.3656364679336548
    '2025-01-19T18:47:58Z': 0.0

palisades analytics ingest_building \
  building=036515-375985,deep,~download,acq_count=4 \
  palisades-analytics-2025-01-27-15-10-29-dkqvtj

palisades test what=test_palisades_analytics_ingest_building_deep

implement deep ✅

🧑🏽‍🚒 observation counts: 1X: 5973, 2X: 818, 3X: 1724, 4X: 321, 5X: 418
🧑🏽‍🚒 103 object(s) -> 73 ingested -> 9,254 buildings(s)

false positives.

continues.