{
 "id": "worldfloods-wild-ride",
 "entry": null,
 "name": "WorldFloods on D-Orbit's Wild Ride mission",
 "group": "ran",
 "class": "perception",
 "location": "Earth orbit",
 "operator": "D-Orbit (the satellite)",
 "developer": "Trillium Technologies and the University of Oxford, with D-Orbit, Unibap and ESA Φ-lab",
 "host": "ION SCV Dauntless David",
 "catalogue": {
  "number": 48912,
  "name": "ION SCV-003",
  "launched": "2021-06-30",
  "decayed": "2024-12-08",
  "match": "by launch date: the only ION carrier in the catalogue launched on 30 June 2021, the date the paper gives; the reviewer's judgement"
 },
 "dates": {
  "launched": "2021-06-30",
  "ran": "after June 2021; not dated in the parts read",
  "reported": "2023-06-27",
  "ended": "2024-12-08"
 },
 "hardware": "A quad-core x86 processor with an Intel Movidius Myriad X",
 "software": "WorldFloods, a segmentation model that maps flood water",
 "did": "Produced flood maps on board from images, and was updated from the ground after launch to suit the satellite's own camera.",
 "marks": [
  {
   "stage": "L",
   "evidence": 3,
   "basis": [
    "c5"
   ]
  },
  {
   "stage": "R",
   "evidence": 2,
   "basis": [
    "c1",
    "c2"
   ]
  }
 ],
 "claims": [
  {
   "id": "c1",
   "kind": "quote",
   "text": "In this work we demonstrate, in a satellite deployed in orbit, a ML payload called 'WorldFloods' that is able to send compressed flood maps from sensed images.",
   "speaker": "Mateo-Garcia et al., the experiment's team",
   "relation": "experimenter",
   "source": "nature-worldfloods",
   "url": "https://www.nature.com/articles/s41598-023-34436-w",
   "source_title": "In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery",
   "publisher": "Scientific Reports (Mateo-Garcia and co-authors, the experiment's team)",
   "source_kind": "paper",
   "published": "2023-06-27",
   "published_basis": "page metadata",
   "accessed": "2026-10-04",
   "copy_route": "direct",
   "read": "in part: about twenty sentences of 56,100 characters"
  },
  {
   "id": "c2",
   "kind": "quote",
   "text": "For the first time, we demonstrate a successful update of the ML model to adapt it to this camera after the satellite was launched.",
   "speaker": "Mateo-Garcia et al., the experiment's team",
   "relation": "experimenter",
   "source": "nature-worldfloods",
   "url": "https://www.nature.com/articles/s41598-023-34436-w",
   "source_title": "In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery",
   "publisher": "Scientific Reports (Mateo-Garcia and co-authors, the experiment's team)",
   "source_kind": "paper",
   "published": "2023-06-27",
   "published_basis": "page metadata",
   "accessed": "2026-10-04",
   "copy_route": "direct",
   "read": "in part: about twenty sentences of 56,100 characters"
  },
  {
   "id": "c3",
   "kind": "quote",
   "text": "offering a quad-core x86 64-bit processor, a Microsemi SmartFusion2 FPGA and an Intel Movidius Myriad X Vision Processing Unit (VPU)",
   "speaker": "Mateo-Garcia et al., the experiment's team",
   "relation": "experimenter",
   "source": "nature-worldfloods",
   "url": "https://www.nature.com/articles/s41598-023-34436-w",
   "source_title": "In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery",
   "publisher": "Scientific Reports (Mateo-Garcia and co-authors, the experiment's team)",
   "source_kind": "paper",
   "published": "2023-06-27",
   "published_basis": "page metadata",
   "accessed": "2026-10-04",
   "copy_route": "direct",
   "read": "in part: about twenty sentences of 56,100 characters"
  },
  {
   "id": "c4",
   "kind": "quote",
   "text": "The D-Orbit Wild Ride mission for the carrier ION SCV Dauntless David successfully launched into LEO on a SpaceX Falcon 9 rocket on June 30th 2021",
   "speaker": "Mateo-Garcia et al., the experiment's team",
   "relation": "experimenter",
   "source": "nature-worldfloods",
   "url": "https://www.nature.com/articles/s41598-023-34436-w",
   "source_title": "In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery",
   "publisher": "Scientific Reports (Mateo-Garcia and co-authors, the experiment's team)",
   "source_kind": "paper",
   "published": "2023-06-27",
   "published_basis": "page metadata",
   "accessed": "2026-10-04",
   "copy_route": "direct",
   "read": "in part: about twenty sentences of 56,100 characters"
  },
  {
   "id": "c5",
   "kind": "data",
   "fields": {
    "OBJECT_NAME": "ION SCV-003",
    "LAUNCH_DATE": "2021-06-30",
    "DECAY_DATE": "2024-12-08"
   },
   "speaker": "CelesTrak satellite catalogue",
   "relation": "catalogue",
   "source": "celestrak-48912",
   "url": "https://celestrak.org/satcat/records.php?CATNR=48912&FORMAT=json",
   "source_title": "Satellite catalogue record 48912 (ION SCV-003)",
   "publisher": "CelesTrak",
   "source_kind": "catalogue",
   "published": "undated",
   "published_basis": "a live catalogue record; dated by when it was read",
   "accessed": "2026-10-04",
   "copy_route": "json",
   "read": "in full"
  }
 ],
 "conflicts": [],
 "notes": "Peer reviewed, and written by the people who ran the experiment, so it counts as their own technical account. The paper does not use the catalogue's name for the satellite; the match rests on the launch date.",
 "changed": "Added on 4 October 2026, in the second round of reading.",
 "headline": "L3 R2"
}