🌀️ Conversations with AI — 199

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geo-watch-2024-08-31-chilcotin-c.tar.gz

complete watch/README.md ✅

@batch eval - \
  blue_geo watch - target=chilcotin-river-landslide to=aws_batch - - \
  geo-watch-2024-08-31-chilcotin-c

harvest commands from geo-watch-2024–08–31-chilcotin-c ✅ map ✅ reduce ✅

@select geo-watch-2024-08-31-chilcotin-c-query-2024-08-31-84801
@download

datacube_id:
- datacube-copernicus-sentinel_2-S2A_MSIL1C_20240731T191911_N0511_R099_T10UEC_20240801T003519-SAFE
- datacube-copernicus-sentinel_2-S2A_MSIL1C_20240807T190911_N0511_R056_T10UEC_20240808T002811-SAFE
- datacube-copernicus-sentinel_2-S2A_MSIL2A_20240731T191911_N0511_R099_T10UEC_20240801T023153-SAFE
- datacube-copernicus-sentinel_2-S2A_MSIL2A_20240807T190911_N0511_R056_T10UEC_20240808T020449-SAFE
- datacube-copernicus-sentinel_2-S2B_MSIL1C_20240802T190919_N0511_R056_T10UEC_20240802T224842-SAFE
- datacube-copernicus-sentinel_2-S2B_MSIL1C_20240804T231559_N0511_R087_T01UBT_20240823T075819-SAFE
- datacube-copernicus-sentinel_2-S2B_MSIL1C_20240804T231559_N0511_R087_T60UXC_20240823T075819-SAFE
- datacube-copernicus-sentinel_2-S2B_MSIL1C_20240805T191909_N0511_R099_T10UEC_20240805T230124-SAFE
- datacube-copernicus-sentinel_2-S2B_MSIL2A_20240802T190919_N0511_R056_T10UEC_20240802T231522-SAFE
- datacube-copernicus-sentinel_2-S2B_MSIL2A_20240805T191909_N0511_R099_T10UEC_20240805T234014-SAFE

map:
  activity:
    mean: 0.0
    std: 0.0
  datacube_id: datacube-copernicus-sentinel_2-S2B_MSIL1C_20240804T231559_N0511_R087_T01UBT_20240823T075819-SAFE
  filename: T01UBT_20240804T231559_TCI.jp2
  shape:
  - 1147
  - 1127
  - 3
  target:
    catalog: copernicus
    collection: sentinel_2
    name: chilcotin-river-landslide
    params:
      height: 0.051
      width: 0.12
    query_args:
      datetime: 2024-07-30/2024-08-09
      lat: 51.84718
      lon: -122.790264
      radius: 0.01
  valid: false

python3 -m blue_geo.watch.workflow map \
  --datacube_id datacube-copernicus-sentinel_2-S2B_MSIL1C_20240804T231559_N0511_R087_T01UBT_20240823T075819-SAFE \
  --object_name geo-watch-2024-08-31-chilcotin-c-query-2024-08-31-84801-14-47-45-55666-005

blue_geo_watch_map \
  offset=005,suffix=14-47-45-55666,- \
  geo-watch-2024-08-31-chilcotin-c-query-2024-08-31-84801

generate metadata ✅

reject frames with low activity frame ✅

filter to remove the frame, if all white or all black ✅

signature += nbs ✅

python3 -m blue_geo.watch.workflow reduce \
  --query_object_name geo-watch-2024-08-31-chilcotin-c-query-2024-08-31-84801 \
  --suffix 14-47-45-55666 \
  --object_name geo-watch-2024-08-31-chilcotin-c

blue_geo_watch_reduce \
  suffix=14-47-45-55666,- \
  geo-watch-2024-08-31-chilcotin-c-query-2024-08-31-84801 \
  geo-watch-2024-08-31-chilcotin-c

reject frames with low activity. ✅

continues.