Planet Labs' Open Satellite Feed

Sep 09, 2026 10:44 PM - 51 minutes ago 1

Planet Labs is simply a 15-year-old, San Francisco-based outer shaper and constellation operator. They run aliases person operated 4 different constellations passim their history and seizure imagery of the full Earth's landmasses each day. As of this writing, LinkedIn lists the patient arsenic having 1,751 associated members.

Their CEO, Will Marshall, is 1 of the firm's 3 co-founders. In February, he posted images alongside the Secretary General of NATO, Mark Rutte, French President Emmanuel Macron and Kaja Kallas, who was Estonia's Prime Minister betwixt 2021 and 2024 and is now Vice-President of the European Commission.

Planet Labs Open Satellite Feed

Their latest Pelican-11 satellite, which will subordinate their Tanager constellation, was deployed by SpaceX's Transporter 17 Mission connected July 7th.

Planet Labs Open Satellite Feed

This is its merchandise into Lower Low Earth Orbit (LLEO) complete Greece.

Planet Labs Open Satellite Feed

As of this writing, Planet Labs' Ephemerides work lists 97 of their satellites that are still successful orbit. These are their latest specifications from GCAT.

$ wget https://ephemerides.planet-labs.com/planet_mc.tle $ grep '^2.*' planet_mc.tle \ | cut -d' ' -f2 \ > NORAD_IDs.csv $ ~/duckdb

.maxrows 4000 SELECT State, Name, * EXCLUDE(AltNames, Bus, Dest, Attach_flag, Subtype_flag, Orbit_flag, ID_flag, Status_or_failure_flag, Coarse_type, SDate, SDate_Year, "Primary", DDate, Manufacturer, Motor, JCAT, ODate, Type, OQUAL, PLName, Shape, Name, State, DryMass, TotMass) FROM 'satcat.parquet' WHERE Satcat IN (SELECT column0::VARCHAR FROM 'NORAD_IDs.csv') AND Status = 'In orbit' ORDER BY Launch_Tag, Name;

┌─────────┬──────────────┬────────┬──────────┬───────┬────────────┬─────────────┬────────┬───────┬─────────┬─────────┬───────────────┬─────────┬────────────┬─────────┬───────┬──────────┐ │ State │ Name │ Apogee │ Diameter │ Inc │ Launch_Tag │ LDate │ Length │ Mass │ OpOrbit │ Owner │ Parent │ Perigee │ Piece │ Satcat │ Span │ Status │ │ varchar │ varchar │ int32 │ float │ float │ varchar │ varchar │ float │ float │ varchar │ varchar │ varchar │ varchar │ varchar │ varchar │ float │ varchar │ ├─────────┼──────────────┼────────┼──────────┼───────┼────────────┼─────────────┼────────┼───────┼─────────┼─────────┼───────────────┼─────────┼────────────┼─────────┼───────┼──────────┤ │ US │ SkySat A │ 597 │ 0.6 │ 97.81 │ 2013-066 │ 2013 Nov 21 │ 0.8 │ 90.0 │ LLEO/S │ SKYBOX │ S39450 │ 567 │ 2013-066C │ 39418 │ 0.6 │ In orbit │ │ US │ SkySat C1 │ 515 │ 0.5 │ 97.51 │ 2016-040 │ 2016 Jun 22 │ 1.2 │ 110.0 │ LLEO/S │ TBELLA │ S41620 │ 499 │ 2016-040C │ 41601 │ 0.5 │ In orbit │ │ US │ SkySat C2 │ 502 │ 0.5 │ 97.42 │ 2016-058 │ 2016 Sep 16 │ 1.2 │ 110.0 │ LLEO/S │ TBELLA │ S41775 │ 501 │ 2016-058D │ 41773 │ 0.5 │ In orbit │ │ US │ SkySat C4 │ 506 │ 0.5 │ 97.43 │ 2016-058 │ 2016 Sep 16 │ 1.2 │ 110.0 │ LLEO/S │ TBELLA │ S41775 │ 497 │ 2016-058B │ 41771 │ 0.5 │ In orbit │ │ US │ SkySat C5 │ 503 │ 0.5 │ 97.42 │ 2016-058 │ 2016 Sep 16 │ 1.2 │ 110.0 │ LLEO/S │ TBELLA │ S41775 │ 501 │ 2016-058C │ 41772 │ 0.5 │ In orbit │ │ US │ SkySat C6 │ 527 │ 0.5 │ 97.35 │ 2017-068 │ 2017 Oct 31 │ 1.2 │ 110.0 │ LLEO/S │ PLABST │ S42994 │ 500 │ 2017-068F │ 42992 │ 0.5 │ In orbit │ │ US │ SkySat C7 │ 527 │ 0.5 │ 97.35 │ 2017-068 │ 2017 Oct 31 │ 1.2 │ 110.0 │ LLEO/S │ PLABST │ S42994 │ 500 │ 2017-068E │ 42991 │ 0.5 │ In orbit │ │ US │ SkySat C8 │ 527 │ 0.5 │ 97.35 │ 2017-068 │ 2017 Oct 31 │ 1.2 │ 110.0 │ LLEO/S │ PLABST │ S42994 │ 500 │ 2017-068D │ 42990 │ 0.5 │ In orbit │ │ US │ SkySat C9 │ 528 │ 0.5 │ 97.35 │ 2017-068 │ 2017 Oct 31 │ 1.2 │ 110.0 │ LLEO/S │ PLABST │ S42994 │ 500 │ 2017-068C │ 42989 │ 0.5 │ In orbit │ │ US │ SkySat C12 │ 588 │ 0.5 │ 97.77 │ 2018-099 │ 2018 Dec 3 │ 1.2 │ 110.0 │ LLEO/S │ PLABST │ S43763 │ 572 │ 2018-099AR │ 43797 │ 0.5 │ In orbit │ │ US │ Flock 4q-16 │ 531 │ 0.1 │ 97.48 │ 2023-174 │ 2023 Nov 11 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11079 SD4.4 │ 516 │ 2023-174R │ 58271 │ 0.3 │ In orbit │ │ US │ Flock 4q-2 │ 529 │ 0.1 │ 97.48 │ 2023-174 │ 2023 Nov 11 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11079 SD1.2 │ 512 │ 2023-174BS │ 58320 │ 0.3 │ In orbit │ │ US │ Flock 4q-4 │ 530 │ 0.1 │ 97.48 │ 2023-174 │ 2023 Nov 11 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11079 SD1.4 │ 517 │ 2023-174BZ │ 58327 │ 0.3 │ In orbit │ │ US │ Flock 4q-9 │ 529 │ 0.1 │ 97.48 │ 2023-174 │ 2023 Nov 11 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11079 SD3.1 │ 512 │ 2023-174BU │ 58322 │ 0.3 │ In orbit │ │ US │ Pelican 1 │ 530 │ 0.6 │ 97.48 │ 2023-174 │ 2023 Nov 11 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11079 │ 515 │ 2023-174AS │ 58296 │ 3.0 │ In orbit │ │ US │ Flock 4be-1 │ 515 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 506 │ 2024-149BC │ 60518 │ 0.3 │ In orbit │ │ US │ Flock 4be-11 │ 517 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 507 │ 2024-149AK │ 60501 │ 0.3 │ In orbit │ │ US │ Flock 4be-13 │ 517 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 506 │ 2024-149AW │ 60512 │ 0.3 │ In orbit │ │ US │ Flock 4be-14 │ 516 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 505 │ 2024-149BB │ 60517 │ 0.3 │ In orbit │ │ US │ Flock 4be-17 │ 517 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 509 │ 2024-149AA │ 60492 │ 0.3 │ In orbit │ │ US │ Flock 4be-18 │ 519 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 509 │ 2024-149N │ 60480 │ 0.3 │ In orbit │ │ US │ Flock 4be-19 │ 516 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 505 │ 2024-149CZ │ 60563 │ 0.3 │ In orbit │ │ US │ Flock 4be-22 │ 518 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 508 │ 2024-149AC │ 60494 │ 0.3 │ In orbit │ │ US │ Flock 4be-23 │ 518 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 509 │ 2024-149Y │ 60490 │ 0.3 │ In orbit │ │ US │ Flock 4be-24 │ 517 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 507 │ 2024-149AP │ 60505 │ 0.3 │ In orbit │ │ US │ Flock 4be-25 │ 517 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 510 │ 2024-149V │ 60487 │ 0.3 │ In orbit │ │ US │ Flock 4be-28 │ 516 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 505 │ 2024-149BD │ 60519 │ 0.3 │ In orbit │ │ US │ Flock 4be-29 │ 515 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 508 │ 2024-149AT │ 60509 │ 0.3 │ In orbit │ │ US │ Flock 4be-3 │ 516 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 506 │ 2024-149CX │ 60561 │ 0.3 │ In orbit │ │ US │ Flock 4be-31 │ 517 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 509 │ 2024-149W │ 60488 │ 0.3 │ In orbit │ │ US │ Flock 4be-32 │ 518 │ 0.1 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 508 │ 2024-149AF │ 60497 │ 0.3 │ In orbit │ │ US │ Flock 4be-34 │ 517 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 509 │ 2024-149AD │ 60495 │ 0.3 │ In orbit │ │ US │ Flock 4be-5 │ 515 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 507 │ 2024-149CV │ 60559 │ 0.3 │ In orbit │ │ US │ Flock 4be-6 │ 515 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 506 │ 2024-149BA │ 60516 │ 0.3 │ In orbit │ │ US │ Flock 4be-7 │ 518 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 510 │ 2024-149P │ 60481 │ 0.3 │ In orbit │ │ US │ Flock 4be-9 │ 515 │ 0.1 │ 97.45 │ 2024-149 │ 2024 Aug 16 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11288 │ 507 │ 2024-149AY │ 60514 │ 0.3 │ In orbit │ │ US │ Tanager 1 │ 516 │ 0.6 │ 97.44 │ 2024-149 │ 2024 Aug 16 │ 2.3 │ 150.0 │ LLEO/S │ PLAN │ A11288 │ 507 │ 2024-149AR │ 60507 │ 3.0 │ In orbit │ │ US │ Flock 4g-1 │ 518 │ 0.1 │ 97.45 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009BK │ 62666 │ 0.3 │ In orbit │ │ US │ Flock 4g-10 │ 518 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 512 │ 2025-009BP │ 62670 │ 0.3 │ In orbit │ │ US │ Flock 4g-11 │ 515 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 512 │ 2025-009W │ 62629 │ 0.3 │ In orbit │ │ US │ Flock 4g-12 │ 516 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009S │ 62625 │ 0.3 │ In orbit │ │ US │ Flock 4g-14 │ 518 │ 0.1 │ 97.45 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009BL │ 62667 │ 0.3 │ In orbit │ │ US │ Flock 4g-15 │ 518 │ 0.1 │ 97.45 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009BX │ 62678 │ 0.3 │ In orbit │ │ US │ Flock 4g-17 │ 519 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009CA │ 62681 │ 0.3 │ In orbit │ │ US │ Flock 4g-2 │ 518 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009BE │ 62661 │ 0.3 │ In orbit │ │ US │ Flock 4g-22 │ 514 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009AN │ 62645 │ 0.3 │ In orbit │ │ US │ Flock 4g-24 │ 515 │ 0.1 │ 97.45 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009AE │ 62637 │ 0.3 │ In orbit │ │ US │ Flock 4g-25 │ 514 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009AP │ 62646 │ 0.3 │ In orbit │ │ US │ Flock 4g-26 │ 515 │ 0.1 │ 97.45 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009AA │ 62633 │ 0.3 │ In orbit │ │ US │ Flock 4g-27 │ 514 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 512 │ 2025-009AJ │ 62641 │ 0.3 │ In orbit │ │ US │ Flock 4g-28 │ 515 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009AB │ 62634 │ 0.3 │ In orbit │ │ US │ Flock 4g-3 │ 515 │ 0.1 │ 97.45 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009AG │ 62639 │ 0.3 │ In orbit │ │ US │ Flock 4g-31 │ 513 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009AV │ 62652 │ 0.3 │ In orbit │ │ US │ Flock 4g-36 │ 519 │ 0.1 │ 97.45 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 512 │ 2025-009BU │ 62675 │ 0.3 │ In orbit │ │ US │ Flock 4g-6 │ 517 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 512 │ 2025-009BD │ 62660 │ 0.3 │ In orbit │ │ US │ Flock 4g-7 │ 516 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 512 │ 2025-009R │ 62624 │ 0.3 │ In orbit │ │ US │ Flock 4g-8 │ 516 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 511 │ 2025-009E │ 62613 │ 0.3 │ In orbit │ │ US │ Flock 4g-9 │ 520 │ 0.1 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11398 │ 512 │ 2025-009P │ 62622 │ 0.3 │ In orbit │ │ US │ Pelican 2 │ 516 │ 0.6 │ 97.44 │ 2025-009 │ 2025 Jan 14 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11398 │ 512 │ 2025-009Y │ 62631 │ 3.0 │ In orbit │ │ US │ Pelican 3 │ 464 │ 0.6 │ 97.26 │ 2025-188 │ 2025 Aug 26 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11588 │ 458 │ 2025-188A │ 65315 │ 3.0 │ In orbit │ │ US │ Pelican 4 │ 464 │ 0.6 │ 97.26 │ 2025-188 │ 2025 Aug 26 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11588 │ 458 │ 2025-188B │ 65316 │ 3.0 │ In orbit │ │ US │ Flock 4h-10 │ 518 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276AZ │ 66713 │ 0.3 │ In orbit │ │ US │ Flock 4h-12 │ 513 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BB │ 66715 │ 0.3 │ In orbit │ │ US │ Flock 4h-14 │ 512 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BD │ 66717 │ 0.3 │ In orbit │ │ US │ Flock 4h-15 │ 518 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BE │ 66718 │ 0.3 │ In orbit │ │ US │ Flock 4h-16 │ 517 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BF │ 66719 │ 0.3 │ In orbit │ │ US │ Flock 4h-18 │ 518 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BH │ 66721 │ 0.3 │ In orbit │ │ US │ Flock 4h-19 │ 513 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276BJ │ 66722 │ 0.3 │ In orbit │ │ US │ Flock 4h-2 │ 513 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276AR │ 66705 │ 0.3 │ In orbit │ │ US │ Flock 4h-20 │ 513 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276BK │ 66723 │ 0.3 │ In orbit │ │ US │ Flock 4h-21 │ 513 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276BL │ 66724 │ 0.3 │ In orbit │ │ US │ Flock 4h-22 │ 517 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BM │ 66725 │ 0.3 │ In orbit │ │ US │ Flock 4h-23 │ 518 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BN │ 66726 │ 0.3 │ In orbit │ │ US │ Flock 4h-24 │ 517 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BP │ 66727 │ 0.3 │ In orbit │ │ US │ Flock 4h-25 │ 512 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276BQ │ 66728 │ 0.3 │ In orbit │ │ US │ Flock 4h-26 │ 518 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BR │ 66729 │ 0.3 │ In orbit │ │ US │ Flock 4h-27 │ 513 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BS │ 66730 │ 0.3 │ In orbit │ │ US │ Flock 4h-29 │ 517 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BU │ 66732 │ 0.3 │ In orbit │ │ US │ Flock 4h-3 │ 517 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276AS │ 66706 │ 0.3 │ In orbit │ │ US │ Flock 4h-30 │ 518 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BV │ 66733 │ 0.3 │ In orbit │ │ US │ Flock 4h-31 │ 517 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BW │ 66734 │ 0.3 │ In orbit │ │ US │ Flock 4h-32 │ 518 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276BX │ 66735 │ 0.3 │ In orbit │ │ US │ Flock 4h-33 │ 513 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276BY │ 66736 │ 0.3 │ In orbit │ │ US │ Flock 4h-34 │ 513 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276BZ │ 66737 │ 0.3 │ In orbit │ │ US │ Flock 4h-35 │ 512 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276CA │ 66738 │ 0.3 │ In orbit │ │ US │ Flock 4h-36 │ 514 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276CB │ 66739 │ 0.3 │ In orbit │ │ US │ Flock 4h-4 │ 518 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276AT │ 66707 │ 0.3 │ In orbit │ │ US │ Flock 4h-5 │ 513 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276AU │ 66708 │ 0.3 │ In orbit │ │ US │ Flock 4h-7 │ 516 │ 0.1 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 513 │ 2025-276AW │ 66710 │ 0.3 │ In orbit │ │ US │ Flock 4h-8 │ 517 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276AX │ 66711 │ 0.3 │ In orbit │ │ US │ Flock 4h-9 │ 515 │ 0.1 │ 97.45 │ 2025-276 │ 2025 Nov 28 │ 0.3 │ 5.7 │ LLEO/S │ PLAN │ A11695 │ 511 │ 2025-276AY │ 66712 │ 0.3 │ In orbit │ │ US │ Pelican 5 │ 515 │ 0.6 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11695 │ 512 │ 2025-276B │ 66667 │ 3.0 │ In orbit │ │ US │ Pelican 6 │ 516 │ 0.6 │ 97.44 │ 2025-276 │ 2025 Nov 28 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11695 │ 513 │ 2025-276AP │ 66703 │ 3.0 │ In orbit │ │ US │ Edda 1 │ 509 │ 0.6 │ 97.41 │ 2026-100 │ 2026 May 3 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11839 │ 500 │ 2026-100AP │ 69017 │ 3.0 │ In orbit │ │ S │ Pelican 8 │ 518 │ 0.6 │ 97.72 │ 2026-100 │ 2026 May 3 │ 2.3 │ 160.0 │ LLEO/S │ FVM │ A11839 │ 482 │ 2026-100AQ │ 69018 │ 3.0 │ In orbit │ │ US │ Pelican 9 │ 508 │ 0.6 │ 97.41 │ 2026-100 │ 2026 May 3 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11839 │ 500 │ 2026-100AR │ 69019 │ 3.0 │ In orbit │ │ US │ Pelican 11 │ 597 │ 0.6 │ 97.76 │ 2026-156 │ 2026 Jul 7 │ 2.3 │ 160.0 │ LLEO/S │ PLAN │ A11917 │ 587 │ 2026-156C │ 69871 │ 3.0 │ In orbit │ └─────────┴──────────────┴────────┴──────────┴───────┴────────────┴─────────────┴────────┴───────┴─────────┴─────────┴───────────────┴─────────┴────────────┴─────────┴───────┴──────────┘

These are the spectrum consequence levels of their SuperDove and SkySat satellites compared alongside RapidEye, Landsat-8 and Sentinel-2.

Planet Labs Open Satellite Feed

The Hyperspectral Pelican constellation differs from their different constellations arsenic its satellites seizure 426 bands of light. I reviewed immoderate of its free imagery past year.

Last year, Planet Labs announced a caller Disaster Data feed. This is simply a Cloudflare-hosted, DuckDB & QGIS-friendly provender pinch prime imagery they've captured from various earthy and man-made disasters soon aft they've occurred. The metadata describing the images is shipped arsenic Parquet and JSON files.

In this post, I'll analyse the imagery they've captured and published openly this year.

My Workstation

I'm utilizing a 5.7 GHz AMD Ryzen 9 9950X CPU. It has 16 cores and 32 threads and 1.2 MB of L1, 16 MB of L2 and 64 MB of L3 cache. It has a liquid cooler attached and is housed successful a spacious, full-sized Cooler Master HAF 700 machine case.

The strategy has 96 GB of DDR5 RAM clocked astatine 4,800 MT/s and a 5th-generation, Crucial T700 4 TB NVMe M.2 SSD which tin publication astatine speeds up to 12,400 MB/s. There is simply a heatsink connected the SSD to thief support its somesthesia down. This is my system's C drive.

The strategy is powered by a 1,200-watt, afloat modular Corsair Power Supply and is sat connected an ASRock X870E Nova 90 Motherboard.

I'm moving Ubuntu 24 LTS via Microsoft's Ubuntu for Windows connected Windows 11 Pro. In lawsuit you're wondering why I don't tally a Linux-based desktop arsenic my superior activity environment, I'm still utilizing an Nvidia GTX 1080 GPU which has amended driver support connected Windows and ArcGIS Pro only supports Windows natively.

Installing Prerequisites

I'll usage GDAL 3.9.3 to manipulate imagery and jq to thief format information successful this post.

Note: Last year, GDAL 3.12 was released and made a important overhaul to its CLI. It's apt the commands successful this station would request to beryllium adjusted to fresh this aliases newer versions of GDAL.

$ sudo apt update $ sudo apt install \ gdal-bin \ jq

I'll usage DuckDB, on pinch its H3, JSON, Lindel, Parquet and Spatial extensions successful this post.

$ cd ~ $ wget -c https://github.com/duckdb/duckdb/releases/download/v1.5.4/duckdb_cli-linux-amd64.zip $ unzip -j duckdb_cli-linux-amd64.zip $ chmod +x duckdb $ ~/duckdb

INSTALL h3 FROM community; INSTALL lindel FROM community; INSTALL json; INSTALL parquet; INSTALL spatial;

I'll group up DuckDB to load each installed hold each clip it launches.

.timer on .width 180 LOAD h3; LOAD lindel; LOAD json; LOAD parquet; LOAD spatial;

The maps successful this station were rendered pinch QGIS type 4.2.1. QGIS is simply a desktop exertion that runs connected Windows, macOS and Linux. The exertion has grown successful fame successful caller years and has ~22M exertion launches from users each astir the world each month.

The boundaries and spot names were originated from Natural Earth. The earthquake information is from the USGS. Maritime Boundaries were originated from Marine Regions. I utilized QGIS' HCMGIS plugin to adhd outer imagery basemaps from Bing to this post.

The List of Disasters

This is simply a programmatic measurement of getting the database of disasters. Each statement represents the URL slug wherever the assets and event-specific archiving tin beryllium found.

$ touch catalog.json; rm catalog.json $ wget https://data.source.coop/planet/disasterdata/catalog.json $ jq -r '.links[]|.href' catalog.json \ | grep '.*[0-9]/catalog.json' \ | cut -d/ -f2 \ | sort

colombia-earthquake-2026-08-10 gironde-wildfire-2026 hurricane-melissa-2025 nepal-flash-flood-2026-08-26 philippines-earthquake-2026-06-08 venezuela-earthquake-2026-06-24

Pre-event Basemaps

Each event's files will incorporate a assortment of assets. The types of assets disposable alteration betwixt the events. Two of the events, Colombia and Venezuela, person basemaps. These are mosaics of respective outer images captured complete a caller play of clip and purpose to person a very debased magnitude of unreality screen obscuring the Earth's surface.

The basemap for Venezuela covers 280 KM of coastline and up to 52 KM inland.

Planet Labs Open Satellite Feed

The basemaps are released arsenic tiles and, successful the lawsuit of Colombia, are shipped arsenic 93 GeoTIFFs pinch corresponding JSON files for their metadata.

I'll download the database of basemap assets for Colombia below.

$ mkdir -p colombia_basemap $ cd colombia_basemap $ wget https://data.source.coop/planet/disasterdata/Colombia-earthquake-2026-08-10/pre-event/basemap-2026q2/items.parquet

This is an illustration grounds for 1 of the tiles.

$ echo "FROM 'items.parquet' LIMIT 1" \ | ~/duckdb -json \ | jq -S .

[ { "assets": { "thumbnail": { "href": "https://data.source.coop/planet/disasterdata/colombia-earthquake-2026-08-10/pre-event/basemap-2026q2/items/585-1059/585-1059_thumbnail.png", "roles": [ "thumbnail" ], "title": "Thumbnail", "type": "image/png" }, "visual": { "eo:bands": [ { "common_name": "red", "name": "Red" }, { "common_name": "green", "name": "Green" }, { "common_name": "blue", "name": "Blue" }, { "common_name": "alpha", "name": "Alpha" } ], "href": "https://data.source.coop/planet/disasterdata/colombia-earthquake-2026-08-10/pre-event/basemap-2026q2/items/585-1059/585-1059_visual.tif", "roles": [ "data", "visual" ], "title": "Visual (true-colour RGB) basemap quad COG", "type": "image/tiff; application=geotiff; profile=cloud-optimized" } }, "bbox": { "xmax": -76.99218748925043, "xmin": -77.16796873922601, "ymax": 6.315298537512351, "ymin": 6.140554781656619 }, "collection": "pre-event-basemap-2026q2", "constellation": "planetscope", "datetime": "2026-05-16 15:00:00+03", "end_datetime": "2026-07-01 03:00:00+03", "geometry": "POLYGON ((-77.16796873922601 6.140554781656619, -76.99218748925043 6.140554781656619, -76.99218748925043 6.315298537512351, -77.16796873922601 6.315298537512351, -77.16796873922601 6.140554781656619))", "gsd": 4.77731426716, "id": "585-1059", "links": [ { "href": "../../../../catalog.json", "rel": "root", "title": "Planet Crisis Response — Colombia Earthquake (2026)", "type": "application/json" }, { "href": "../../collection.json", "rel": "parent", "title": null, "type": "application/json" }, { "href": "../../collection.json", "rel": "collection", "title": null, "type": "application/json" }, { "href": "https://data.source.coop/planet/disasterdata/colombia-earthquake-2026-08-10/pre-event/basemap-2026q2/items/585-1059/585-1059.json", "rel": "self", "title": null, "type": "application/json" }, { "href": "./585-1059_thumbnail.png", "rel": "thumbnail", "title": null, "type": "image/png" } ], "pl:mosaic": "global_quarterly_2026q2_mosaic", "pl:mosaic_id": "649cf917-0aab-40eb-94df-c222535f2cf7", "pl:percent_covered": 100, "pl:quad_id": "585-1059", "proj:epsg": 3857, "proj:shape": [ 4096, 4096 ], "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/raster/v1.1.0/schema.json", "https://stac-extensions.github.io/projection/v1.1.0/schema.json" ], "stac_version": "1.0.0", "start_datetime": "2026-04-01 03:00:00+03", "type": "Feature" } ]

I'll build a database of each tile's GeoTIFF URL and download them pinch 8 parallel threads. The resulting GeoTIFFs return up 1.7 GB of space.

$ echo "WITH a AS ( SELECT DISTINCT UNNEST([assets.visual.href]) AS url FROM READ_PARQUET('items.parquet') ) FROM a WHERE url IS NOT NULL" \ | ~/duckdb -csv -noheader \ | xargs \ -I% \ -P8 \ wget -c "%"

I'll past build a azygous GeoTIFF from those tiles and usage WEBP compression. This tin thief reduce the record size 80%+ pinch minimal changes successful appearance. The resulting GeoTIFF is 327 MB.

$ gdalbuildvrt mosaic.vrt *visual.tif $ gdal_translate \ -co NUM_THREADS=ALL_CPUS \ -of COG \ -co COMPRESS=WEBP \ mosaic.vrt \ mosaic.tif

I will past person the JSON metadata files into a azygous Parquet file.

$ mkdir -p metadata $ echo "SELECT href FROM ( SELECT UNNEST(links, recursive := true) FROM READ_PARQUET('items.parquet') ) WHERE href LIKE 'https%'" \ | ~/duckdb -csv -noheader \ | xargs \ -I% \ -P8 \ wget -P metadata/ -c "%"

$ touch footprints.json; rm footprints.json $ for FILENAME in metadata/*.json; do jq -c . $FILENAME >> footprints.json done

COPY( SELECT * EXCLUDE(geometry), geometry: ST_GEOMFROMGEOJSON(geometry) FROM 'footprints.json' ) TO 'footprints.parquet' ( FORMAT 'PARQUET', CODEC 'ZSTD', COMPRESSION_LEVEL 22, ROW_GROUP_SIZE 15000);

These are the numbers of unsocial values for each section successful the properties structure. I've excluded immoderate nested structures and lists.

SELECT column_name, column_type, approx_unique, min, max FROM (SUMMARIZE SELECT properties.* FROM 'footprints.parquet') WHERE column_type::TEXT NOT LIKE 'STRUCT%' AND column_type::TEXT NOT LIKE '%[]%' ORDER BY LOWER(column_name);

The datetime section appears to beryllium the timestamp of the oldest image successful the mosaic and the end_datetime appears to beryllium erstwhile the mosaic was either published aliases erstwhile the newest image wrong the mosaic was captured.

┌────────────────────┬─────────────┬───────────────┬──────────────────────────────────────┬──────────────────────────────────────┐ │ column_name │ column_type │ approx_unique │ min │ max │ │ varchar │ varchar │ int64 │ varchar │ varchar │ ├────────────────────┼─────────────┼───────────────┼──────────────────────────────────────┼──────────────────────────────────────┤ │ constellation │ VARCHAR │ 1 │ planetscope │ planetscope │ │ datetime │ TIMESTAMP │ 1 │ 2026-05-16 12:00:00 │ 2026-05-16 12:00:00 │ │ end_datetime │ TIMESTAMP │ 1 │ 2026-07-01 00:00:00 │ 2026-07-01 00:00:00 │ │ gsd │ DOUBLE │ 1 │ 4.77731426716 │ 4.77731426716 │ │ pl:mosaic │ VARCHAR │ 1 │ global_quarterly_2026q2_mosaic │ global_quarterly_2026q2_mosaic │ │ pl:mosaic_id │ UUID │ 1 │ 649cf917-0aab-40eb-94df-c222535f2cf7 │ 649cf917-0aab-40eb-94df-c222535f2cf7 │ │ pl:percent_covered │ BIGINT │ 1 │ 100 │ 100 │ │ pl:quad_id │ VARCHAR │ 86 │ 585-1059 │ 596-1054 │ │ proj:code │ VARCHAR │ 1 │ EPSG:3857 │ EPSG:3857 │ │ start_datetime │ TIMESTAMP │ 1 │ 2026-04-01 00:00:00 │ 2026-04-01 00:00:00 │ └────────────────────┴─────────────┴───────────────┴──────────────────────────────────────┴──────────────────────────────────────┘

These are the basemap tiles' footprints successful narration to Columbia and the wider region.

Planet Labs Open Satellite Feed

Below, I've zoomed successful connected Pereira.

Planet Labs Open Satellite Feed

Pre- and Post-Event Imagery

There are 2 high-level categories of assets successful immoderate event: pre- and post-event imagery. I'll usage the post-event imagery for Nepal for this walk-through.

In the files listings for either pre- aliases post-event imagery, location will beryllium an items.parquet file. Clicking the filename will bring up a webpage describing its contents, but adjacent to the filename is simply a nexus that you tin entree from the bid statement and/or DuckDB, without Cloudflare blocking your client.

Planet Labs Open Satellite Feed

The pursuing will download the 83 KB Parquet-formatted, post-event metadata record for the flash-flood disaster successful Nepal past month.

$ wget -O nepal.post.parquet \ https://data.source.coop/planet/disasterdata/nepal-flash-flood-2026-08-26/post-event/items.parquet

There are 24 records successful this file.

SELECT COUNT(*) FROM 'nepal.post.parquet';

This is an illustration record.

$ echo "FROM 'nepal.post.parquet' LIMIT 1" \ | ~/duckdb -json \ | jq -S .

[ { "assets": { "analytic": null, "pansharpened": { "eo:bands": null, "href": "https://data.source.coop/planet/disasterdata/nepal-flash-flood-2026-08-26/post-event/pelican-2026-08-27/items/20260827_060956_98_3009/20260827_060956_98_3009_pansharpened.tif", "pl:asset_type": "ortho_pansharpened", "pl:bundle_type": "pansharpened_udm2", "proj:bbox": [ 335132.5, 3125818.0, 346500.5, 3137230.5 ], "proj:epsg": 32645, "proj:shape": [ 22825, 22736 ], "proj:transform": [ 0.5, 0.0, 335132.5, 0.0, -0.5, 3137230.5, 0.0, 0.0, 1.0 ], "raster:bands": [ { "data_type": "uint16", "nodata": 0.0, "spatial_resolution": 0.5, "statistics": { "maximum": 58588.0, "minimum": 11968.0 } }, { "data_type": "uint16", "nodata": 0.0, "spatial_resolution": 0.5, "statistics": { "maximum": 33961.0, "minimum": 10257.0 } }, { "data_type": "uint16", "nodata": 0.0, "spatial_resolution": 0.5, "statistics": { "maximum": 34764.0, "minimum": 7934.0 } }, { "data_type": "uint16", "nodata": 0.0, "spatial_resolution": 0.5, "statistics": { "maximum": 29368.0, "minimum": 6403.0 } }, { "data_type": "uint16", "nodata": 0.0, "spatial_resolution": 0.5, "statistics": { "maximum": 42197.0, "minimum": 7554.0 } }, { "data_type": "uint16", "nodata": 0.0, "spatial_resolution": 0.5, "statistics": { "maximum": 39092.0, "minimum": 7926.0 } } ], "roles": [ "data" ], "title": "Pansharpened multiband ortho COG", "type": "image/tiff; application=geotiff; profile=cloud-optimized" }, "thumbnail": { "href": "https://data.source.coop/planet/disasterdata/nepal-flash-flood-2026-08-26/post-event/pelican-2026-08-27/items/20260827_060956_98_3009/20260827_060956_98_3009_thumbnail.png", "roles": [ "thumbnail" ], "title": "Thumbnail", "type": "image/png" }, "udm": null, "udm2": { "eo:bands": null, "href": "https://data.source.coop/planet/disasterdata/nepal-flash-flood-2026-08-26/post-event/pelican-2026-08-27/items/20260827_060956_98_3009/20260827_060956_98_3009_udm2.tif", "pl:asset_type": "ortho_pansharpened_udm2", "pl:bundle_type": "pansharpened_udm2", "proj:bbox": [ 335132.5, 3125818.0, 346500.5, 3137230.5 ], "proj:epsg": 32645, "proj:shape": [ 22825, 22736 ], "proj:transform": [ 0.5, 0.0, 335132.5, 0.0, -0.5, 3137230.5, 0.0, 0.0, 1.0 ], "raster:bands": [ { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 1.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 0.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 1.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 1.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 0.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 1.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 100.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 2.0, "minimum": 0.0 } } ], "roles": [ "data", "snow-ice", "cloud", "cloud-shadow" ], "title": "Usable Data Mask (UDM2) — per-pixel quality", "type": "image/tiff; application=geotiff; profile=cloud-optimized" }, "visual": { "eo:bands": null, "href": "https://data.source.coop/planet/disasterdata/nepal-flash-flood-2026-08-26/post-event/pelican-2026-08-27/items/20260827_060956_98_3009/20260827_060956_98_3009_visual.tif", "pl:asset_type": "ortho_visual", "pl:bundle_type": "visual", "proj:bbox": [ 335132.5, 3125818.0, 346500.5, 3137230.5 ], "proj:epsg": 32645, "proj:shape": [ 22825, 22736 ], "proj:transform": [ 0.5, 0.0, 335132.5, 0.0, -0.5, 3137230.5, 0.0, 0.0, 1.0 ], "raster:bands": [ { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 255.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 255.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 255.0, "minimum": 0.0 } }, { "data_type": "uint8", "spatial_resolution": 0.5, "statistics": { "maximum": 255.0, "minimum": 0.0 } } ], "roles": [ "data", "visual" ], "title": "Visual (true-colour RGB) ortho COG", "type": "image/tiff; application=geotiff; profile=cloud-optimized" } }, "bbox": { "xmax": 85.43406669026984, "xmin": 85.31918550951734, "ymax": 28.35121763114424, "ymin": 28.24911357422872 }, "collection": "post-event-pelican-2026-08-27", "constellation": "pelican", "created": "2026-08-27 10:33:45+03", "datetime": "2026-08-27 09:09:56.99105+03", "eo:cloud_cover": 85, "geometry": "POLYGON ((85.33889798257499 28.35121763114424, 85.31918550951734 28.2661375282364, 85.41382376956273 28.24911357422872, 85.43406669026984 28.334115698528574, 85.33889798257499 28.35121763114424))", "gsd": 0.55, "id": "20260827_060956_98_3009", "instruments": null, "links": [ { "href": "../../../../catalog.json", "rel": "root", "title": "Planet Crisis Response — Bhote Koshi–Trishuli Outburst Flood, Nepal (2026)", "type": "application/json" }, { "href": "../../collection.json", "rel": "parent", "title": null, "type": "application/json" }, { "href": "../../collection.json", "rel": "collection", "title": null, "type": "application/json" }, { "href": "https://data.source.coop/planet/disasterdata/nepal-flash-flood-2026-08-26/post-event/pelican-2026-08-27/items/20260827_060956_98_3009/20260827_060956_98_3009.json", "rel": "self", "title": null, "type": "application/json" }, { "href": "./20260827_060956_98_3009_thumbnail.png", "rel": "thumbnail", "title": null, "type": "image/png" } ], "pl:data_version": null, "pl:ground_control": true, "pl:ground_control_ratio": null, "pl:item_type": "PelicanScene", "pl:pixel_resolution": 0.5, "pl:publishing_stage": "finalized", "pl:quality_category": "standard", "pl:strip_id": "20260827_060956_98_3009_strip", "platform": "3009", "published": "2026-08-27 10:33:45+03", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/raster/v1.1.0/schema.json", "https://stac-extensions.github.io/projection/v1.1.0/schema.json" ], "stac_version": "1.0.0", "type": "Feature", "updated": "2026-08-27 10:33:45+03", "view:azimuth": 255.9, "view:off_nadir": 3.8, "view:sun_azimuth": 171.2, "view:sun_elevation": 71.6 } ]

These are the numbers of unsocial values for each section successful the properties structure. I've excluded structures and lists.

$ ~/duckdb --nullvalue ""

SELECT column_name, column_type[:15], approx_unique, min[:25], max[:25] FROM (SUMMARIZE FROM 'nepal.post.parquet') WHERE column_type::TEXT NOT LIKE 'STRUCT%' AND column_type::TEXT NOT LIKE '%[]%' ORDER BY LOWER(column_name);

┌─────────────────────────┬──────────────────┬───────────────┬───────────────────────────┬───────────────────────────┐ │ column_name │ column_type[:15] │ approx_unique │ min[:25] │ max[:25] │ │ varchar │ varchar │ int64 │ varchar │ varchar │ ├─────────────────────────┼──────────────────┼───────────────┼───────────────────────────┼───────────────────────────┤ │ postulation │ VARCHAR │ 6 │ post-event-pelican-2026-0 │ post-event-skysat-2026-08 │ │ constellation │ VARCHAR │ 3 │ pelican │ skysat │ │ created │ TIMESTAMP WITH │ 18 │ 2026-08-26 09:32:01+03 │ 2026-09-01 09:45:14+03 │ │ datetime │ TIMESTAMP WITH │ 26 │ 2026-08-26 08:01:25.99322 │ 2026-09-01 08:06:35.68372 │ │ eo:cloud_cover │ BIGINT │ 15 │ 47 │ 93 │ │ geometry │ GEOMETRY('EPSG: │ 25 │ POLYGON ((85.339966733816 │ POLYGON ((85.321140858017 │ │ gsd │ DOUBLE │ 11 │ 0.55 │ 3.9 │ │ id │ VARCHAR │ 24 │ 20260826_050125_99_255f │ 20260901_050635_67_300b │ │ pl:data_version │ VARCHAR │ 7 │ 20260826T100156Z │ 20260828T092936Z │ │ pl:ground_control │ BOOLEAN │ 1 │ existent │ existent │ │ pl:ground_control_ratio │ BIGINT │ 1 │ 1 │ 1 │ │ pl:item_type │ VARCHAR │ 2 │ PSScene │ SkySatCollect │ │ pl:pixel_resolution │ DOUBLE │ 2 │ 0.5 │ 3.0 │ │ pl:publishing_stage │ VARCHAR │ 1 │ finalized │ finalized │ │ pl:quality_category │ VARCHAR │ 2 │ modular │ trial │ │ pl:strip_id │ VARCHAR │ 7 │ 20260827_060956_98_3009_s │ s3_20260827T020055Z │ │ level │ VARCHAR │ 7 │ 251f │ SSC9 │ │ published │ TIMESTAMP WITH │ 18 │ 2026-08-26 09:32:01+03 │ 2026-09-01 09:45:14+03 │ │ stac_version │ VARCHAR │ 1 │ 1.0.0 │ 1.0.0 │ │ type │ VARCHAR │ 1 │ Feature │ Feature │ │ updated │ TIMESTAMP WITH │ 12 │ 2026-08-26 17:32:46+03 │ 2026-09-02 08:47:29+03 │ │ view:azimuth │ DOUBLE │ 14 │ 3.7 │ 276.1 │ │ view:off_nadir │ DOUBLE │ 12 │ 2.1 │ 28.9 │ │ view:sun_azimuth │ DOUBLE │ 24 │ 92.7 │ 255.4 │ │ view:sun_elevation │ DOUBLE │ 21 │ 26.9 │ 71.8 │ └─────────────────────────┴──────────────────┴───────────────┴───────────────────────────┴───────────────────────────┘

These are the numbers of images captured by each constellation connected immoderate fixed day.

PIVOT ( SELECT constellation, taken_on: datetime::DATE, cnt: COUNT(*) FROM 'nepal.post.parquet' GROUP BY 1, 2 ) ON constellation USING SUM(cnt) GROUP BY taken_on ORDER BY taken_on;

┌────────────┬─────────┬─────────────┬────────┐ │ taken_on │ pelican │ planetscope │ skysat │ │ day │ int128 │ int128 │ int128 │ ├────────────┼─────────┼─────────────┼────────┤ │ 2026-08-26 │ │ 9 │ │ │ 2026-08-27 │ 3 │ │ 2 │ │ 2026-08-28 │ │ 5 │ │ │ 2026-08-31 │ │ │ 2 │ │ 2026-09-01 │ 3 │ │ │ └────────────┴─────────┴─────────────┴────────┘

These are the highest and lowest resolutions of the imagery captured, surgery down by constellation.

SELECT constellation, min_: MIN("pl:pixel_resolution"), max_: MAX("pl:pixel_resolution") FROM 'nepal.post.parquet' GROUP BY 1 ORDER BY 2;

┌───────────────┬────────┬────────┐ │ constellation │ min_ │ max_ │ │ varchar │ double │ double │ ├───────────────┼────────┼────────┤ │ pelican │ 0.5 │ 0.5 │ │ skysat │ 0.5 │ 0.5 │ │ planetscope │ 3.0 │ 3.0 │ └───────────────┴────────┴────────┘

The images person been published arsenic quickly arsenic 1.4 hours aft being captured.

SELECT hours_: ROUND(EPOCH(created - datetime) / 3600, 1), num_images: COUNT(*) FROM 'nepal.post.parquet' GROUP BY 1 ORDER BY 1;

┌────────┬────────────┐ │ hours_ │ num_images │ │ double │ int64 │ ├────────┼────────────┤ │ 1.4 │ 3 │ │ 1.5 │ 4 │ │ 1.6 │ 4 │ │ 1.7 │ 1 │ │ 2.2 │ 4 │ │ 3.1 │ 4 │ │ 4.0 │ 2 │ │ 4.1 │ 2 │ └────────┴────────────┘

These are the locations of the footprints successful narration to the full of Nepal and confederate China.

Planet Labs Open Satellite Feed

The imagery has been captured astatine different times and, successful immoderate cases, overlaps pinch different imagery that has already been collected.

Planet Labs Open Satellite Feed

Downloading Imagery

I'll build a database of the SkySat GeoTIFFs and download them pinch 4 parallel threads.

$ mkdir -p nepal_skysat $ cd nepal_skysat $ echo "SELECT href FROM ( SELECT UNNEST(assets.visual, recursive := true) FROM '../nepal.post.parquet' WHERE constellation = 'skysat' )" \ | ~/duckdb -csv -noheader \ | xargs \ -I% \ -P4 \ wget -c "%"

The resulting images are 1.9 GB successful total.

749M 20260827_020055_ssc1_u0001_visual.tif 416M 20260827_020055_ssc1_u0002_visual.tif 359M 20260831_092523_ssc9_u0002_visual.tif 342M 20260831_092523_ssc9_u0003_visual.tif 1.9G total

These are the outer images.

Planet Labs Open Satellite Feed

There was a batch of unreality screen erstwhile these images were captured, but immoderate of the settlements affected by the flash flood tin beryllium seen.

Planet Labs Open Satellite Feed

Usable Data Masks

The supra images person usable information disguise (UDM) counterparts which pinpoint areas wherever the imagery is covered by clouds.

$ echo "SELECT href FROM ( SELECT UNNEST(assets.udm, recursive := true) FROM '../nepal.post.parquet' WHERE constellation = 'skysat' )" \ | ~/duckdb -csv -noheader \ | xargs \ -I% \ -P4 \ wget -c "%"

The UDMs for the supra images are 49 MB successful total.

22M 20260827_020055_ssc1_u0001_udm.tif 8.8M 20260827_020055_ssc1_u0002_udm.tif 12M 20260831_092523_ssc9_u0002_udm.tif 7.5M 20260831_092523_ssc9_u0003_udm.tif 49M total

The areas coloured successful achromatic will person a clear position of the Earth's surface, achromatic will beryllium obstructed by clouds, and the grey areas don't incorporate immoderate imagery.

Planet Labs Open Satellite Feed

Imagery from the PlanetScope and Tanager constellations will beryllium paired pinch UDM2s, which, successful summation to clouds, tin place shadows, haze and snow.

Thank you for taking the clip to publication this post. I connection some consulting and hands-on improvement services to clients successful North America and Europe. If you'd for illustration to talk really my offerings tin thief your business please interaction maine via LinkedIn.