From b1f3196459a3791bf773d2ecf22b51c8002a1bc5 Mon Sep 17 00:00:00 2001 From: j8seangel Date: Tue, 24 Oct 2023 08:08:18 +0200 Subject: [PATCH] New Crowdin updates (#2311) New translations datasets --- libs/i18n-labels/en/datasets.json | 154 ++++++++++++++++++++++--- libs/i18n-labels/es/datasets.json | 154 ++++++++++++++++++++++--- libs/i18n-labels/fr/datasets.json | 156 +++++++++++++++++++++++--- libs/i18n-labels/id/datasets.json | 156 +++++++++++++++++++++++--- libs/i18n-labels/pt/datasets.json | 156 +++++++++++++++++++++++--- libs/i18n-labels/source/datasets.json | 156 +++++++++++++++++++++++--- libs/i18n-labels/val/datasets.json | 156 +++++++++++++++++++++++--- 7 files changed, 992 insertions(+), 96 deletions(-) diff --git a/libs/i18n-labels/en/datasets.json b/libs/i18n-labels/en/datasets.json index 74d5dca344..3068c213cd 100644 --- a/libs/i18n-labels/en/datasets.json +++ b/libs/i18n-labels/en/datasets.json @@ -1255,12 +1255,12 @@ "description": "Dataset for VMS Papua New Guinea (Private)", "schema": { "id": "id", - "flag": "flag", - "source": "source", - "callsign": "callsign", - "shipname": "shipname", + "registryInfo": "registryInfo", + "registryOwners": "registryOwners", + "selfReportedInfo": "selfReportedInfo", "lastTransmissionDate": "lastTransmissionDate", - "firstTransmissionDate": "firstTransmissionDate" + "firstTransmissionDate": "firstTransmissionDate", + "registryAuthorizations": "registryAuthorizations" } }, "private-png-presence": { @@ -1346,6 +1346,55 @@ "vessel_id": "vessel_id" } }, + "public-ais-presence-viirs-match": { + "name": "VIIRS", + "description": "The night lights vessel detections layer, known as visible infrared imaging radiometer suite or VIIRS, shows vessels at sea that satellites have detected by the light they emit at night. Though not exclusively associated with fishing vessels, this activity layer is likely to show vessels associated with activities like squid fishing, which use bright lights and fish at night.
\n
\nBased on the Suomi NPP satellite, the VIIRS sensor makes a pass across the entire planet at least once every night, detecting lights to provide at least one daily observation globally. Due to the orbit design of polar orbiting satellites, regions closer to polar will have more over-passes per day, while equatorial regions have only one over-pass daily.
\n
\nBecause the vessels are detected solely based on light emission, we can detect individual vessels and even entire fishing fleets that may not broadcast identity information and so may not be represented elsewhere on the Global Fishing Watch map. Global Fishing Watch ingests boat detections processed from low light imaging data collected by the U.S. National Oceanic and Atmospheric Administration (NOAA) VIIRS. The boat detections are processed in near-real time by the Earth Observation Group at the Colorado School of Mines. The data, known as VIIRS boat detections, picks up the presence of vessels, including those fishing using lights to attract catch or to conduct operations at night.Lights from fixed offshore infrastructure and other non-vessel sources are excluded. Read more about VIIRS night light vessel detections, and download the data.
\n
\nGlobal Fishing Watch has developed a sophisticated system to match available automatic identification system (AIS) data to respective night light vessel detections. This matching is done using a probabilistic model that determines AIS-message/VIIRS-detection pairs based on all available AIS records right before and right after the time the satellite VIIRS image was taken, as well as the probability of pairing a specific AIS message to any of the vessels appearing on that image. Using this information, Global Fishing Watch has added the experimental ability to filter detections based on vessel type and gear type within the VIIRS activity layer.
\n
\nMore than 85% of the detections are from vessels that lack AIS or publicly shared vessel monitoring system (VMS) transponders. The global addition of the VIIRS layer enables you to rapidly filter the night light detections that either were matched or not with AIS where vessel identification is available.
\n
\nRadiance indicates the brightness of the light source received by the VIIRS sensor. Radiance is impacted by the moon, clouds, and the angle of the vessel from the satellite. Two vessels with the same brightness, or light intensity, may have different radiance levels depending on the conditions. In general, vessels that are not actively fishing using light may have lower radiance levels. Exceptions should be considered when vessels are approaching a coastline. To further explore how vessel lights at night emit different radiance levels, the VIIRS activity layer can be filtered to specific ranges of interest associated with different human behaviours.
\n
\nThose using night light detections data should consider the South Atlantic Anomaly (SAA), an area where the Earth's inner Van Allen radiation belt is at its lowest altitude, allowing more energetic particles from space to penetrate. When such particles hit the sensors on a satellite, this can create a false signal which might cause the algorithm to recognize it as a boat detection. A filtration algorithm has been applied but there may still be some mis-identification", + "schema": { + "cel": "cel", + "lat": "lat", + "lon": "lon", + "pos": "pos", + "flag": "flag", + "htime": "htime", + "matched": { + "keyword": "Matching", + "enum": { + "true": true, + "false": false + } + }, + "radiance": { + "keyword": "Radiance", + "enum": { + "0": 0, + "10000": 10000 + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "unknown": "unknown", + "fishing": "fishing", + "carrier": "Carrier", + "support": "Support" + } + }, + "detect_id": "detect_id", + "qf_detect": { + "keyword": "qf_detect", + "enum": { + "1": 1, + "2": 2, + "3": 3, + "5": 5, + "7": 7, + "10": 10 + } + }, + "timestamp": "timestamp", + "vessel_id": "vessel_id" + } + }, "public-areas-to-be-avoided-1618836788619": { "name": "Areas to be Avoided by Cargo Shipping", "description": "25 nm buffer around islands recommending shipping diversion", @@ -1877,6 +1926,23 @@ "description": "", "schema": {} }, + "public-global-all-tracks": { + "name": "Tracks", + "description": "The dataset contains the tracks from all vessels (AIS) - Version 20231026", + "schema": { + "lat": "lat", + "lon": "lon", + "flag": "flag", + "night": "night", + "speed": "speed", + "course": "course", + "seg_id": "seg_id", + "elevation": "elevation", + "timestamp": "timestamp", + "distance_from_port": "distance_from_port", + "distance_from_shore": "distance_from_shore" + } + }, "public-global-all-vessels": { "name": "AIS (All Vessels)", "description": "Vessels from AIS", @@ -1963,7 +2029,9 @@ "name": "Encounter Events. (AIS)", "description": "Identified from AIS data as locations where two vessels, a carrier and fishing vessel, were within 500 meters for at least 2 hours and traveling at a median speed under 2 knots, while at least 10 km from a coastal anchorage.", "schema": { + "flag": "flag", "fields": "fields", + "duration": "Duration", "event_id": "event_id", "event_end": "event_end", "vessel_id": "vessel_id", @@ -2125,14 +2193,16 @@ "vessel_type": { "keyword": "vessel_type", "enum": { - "fishing": "fishing", "carrier": "Carrier", - "cargo": "cargo", - "bunker_or_tanker": "bunker_or_tanker", - "passenger": "passenger", "seismic_vessel": "seismic_vessel", - "other_non_fishing": "other_non_fishing", - "unknown": "unknown" + "passenger": "passenger", + "other": "other", + "support": "Support", + "bunker": "bunker", + "gear": "gear", + "cargo": "cargo", + "fishing": "fishing", + "discrepancy": "discrepancy" } }, "vessel-groups": "vessel-groups" @@ -2144,7 +2214,7 @@ "schema": {} }, "public-global-sar-presence": { - "name": "SAR", + "name": "SAR with Neural classification", "description": "Synthetic aperture radar (SAR) can detect at-sea vessels and structures in any weather conditions. SAR is a satellite-based sensor that shoots microwaves to the Earth surface and measures the amplitude and phase of the signals that are reflected back from objects on the ground and water, known as backscatter.
\\n
\\nThe SAR image formed from this backscatter contains rich information about size, orientation, composition, condition and texture of the features on the water.
\\n
\\nThese imaging systems overcome any weather condition and illumination level, including clouds or rain, daylight or darkness.They give an advantage over some other satellite sensors, such as electro-optical imagery, which is similar to taking a picture with a camera and relies on sunlight and/or the infrared radiation emitted by objects on the ground. This latter method can be confounded by cloud cover, haze, weather events and seasonal darkness at high latitudes. SAR by comparison has proven to be the most consistent option for detecting vessels at sea.
\\n
\\nDetecting vessels with SAR
\\n
\\nWe use SAR imagery from the Copernicus Sentinel-1 mission of the European Space Agency (ESA), which is sourced from polar-orbiting satellites (S1A and, formerly, S1B), to detect all vessels on each scene. Our approach combines a modified version of a well established ship detection method (Constant False Alarm Rate) with modern machine learning to identify the size of detections and eliminate false detections. This detection approach consists of identifying the pixels with a “brightness” level above the mean backscatter of the background, representing the sea clutter around the target, and then using machine learning to filter and improve the results.
\\n
\\nMatching SAR detections to automatic identification system (AIS) transmitters
\\n
\\nAIS transmitters broadcast the vessel’s GPS positions to help nearby vessels avoid collisions, and these AIS messages can be recorded by satellite constellations. Global Fishing Watch has developed a sophisticated system to match available AIS data to respective SAR vessel detections. This matching is done using a likelihood model that determines AIS-message/SAR-detection pairs based on all available AIS records right before and right after the time the SAR image was taken, as well as the probability of pairing a specific AIS message to any of the vessels appearing on that image. The matching algorithm provides a score and a confidence value for each potential SAR-AIS match. Only higher confidence matches are included. Learn more about the methods in this pre-print paper - https://eartharxiv.org/repository/view/3239/
\\n
\\nAIS matching and vessel identity
\\n
\\nNot all vessels are required to carry AIS transmitters (e.g. the European Union only requires use of AIS for vessels over 20 meters in length), and vessels engaged in unlawful activity may shut off their AIS transmitters. This means that for all “AIS matched” SAR detections, we have information available about the detected vessel from its AIS, such as the characteristics of the craft and whether it is fishing or not. On the other hand, all “AIS unmatched” SAR detections correspond to vessels that cannot be tracked with AIS, some of which may be engaged in illegal, unreported and unregulated (IUU) fishing. In any case, unmatched SAR detections provide the missing information about vessel traffic in the ocean.
\\n
\\nSource
\\n
\\nWe use SAR imagery from ESA’s Sentinel-1 Interferometric Wide swath mode (IW) Level-1 Ground Range Detected (GRD) product, covering all coastal waters around the world with a resolution of about 20 meters. We analyze SAR scenes and detect objects using the Google Earth Engine platform and a neural net classifer.
\\n
\\nDetection footprints
\\n
\\nDetection footprints are areas within each satellite scan (or scene) that the platform uses to perform detections. These filters help to keep relevant detections and exclude data that may be inaccurate.
\\n
\\nDetection footprints are smaller than the total scene as they exclude any land areas and islands, and exclude a 500 meter buffer from the boundaries of the scene and a 1 kilometer buffer from shorelines.
\\n
\\nFiltering
\\n
\\nGFW has post-processed the SAR detections to reduce noise (false positives), remove offshore infrastructure, and exclude areas with sea ice at high latitudes.
", "schema": { "id": "id", @@ -2152,6 +2222,7 @@ "lon": "lon", "pos": "pos", "cell": "cell", + "flag": "flag", "htime": "htime", "ssvid": "ssvid", "matched": { @@ -2161,8 +2232,65 @@ "false": false } }, + "geartype": { + "keyword": "geartype", + "enum": { + "dredge_fishing": "Dredge fishing", + "seiners": "Seiners", + "passenger": "passenger", + "pole_and_line": "Pole and line", + "cargo_or_tanker": "cargo_or_tanker", + "other": "other", + "other_purse_seines": "Other purse seines", + "purse_seine_support": "Purse seine support", + "specialized_reefer": "specialized_reefer", + "carrier": "Carrier", + "trawlers": "Trawlers", + "set_gillnets": "Set gillnets", + "squid_jigger": "Squid jigger", + "seismic_vessel": "seismic_vessel", + "tug": "tug", + "bunker": "bunker", + "gear": "gear", + "purse_seines": "Purse seines", + "patrol_vessel": "patrol_vessel", + "set_longlines": "Set longlines", + "tuna_purse_seines": "Tuna purse seines", + "trollers": "Trollers", + "drifting_longlines": "Drifting longlines", + "pots_and_traps": "Pots and traps", + "non_fishing": "non_fishing", + "inconclusive": "inconclusive", + "fixed_gear": "Fixed gear", + "cargo": "cargo" + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "carrier": "Carrier", + "seismic_vessel": "seismic_vessel", + "passenger": "passenger", + "other": "other", + "support": "Support", + "bunker": "bunker", + "gear": "gear", + "cargo": "cargo", + "fishing": "fishing", + "discrepancy": "discrepancy" + } + }, "timestamp": "timestamp", - "confidence": "confidence" + "vessel_id": "vessel_id", + "confidence": "confidence", + "neural_vessel_type": { + "keyword": "neural_vessel_type", + "enum": { + "Likely non-fishing": "Likely non-fishing", + "Likely Fishing": "Likely Fishing", + "Unknown": "Other" + } + } } }, "public-global-support-vessels": { diff --git a/libs/i18n-labels/es/datasets.json b/libs/i18n-labels/es/datasets.json index fa1ca7683f..f6417faad8 100644 --- a/libs/i18n-labels/es/datasets.json +++ b/libs/i18n-labels/es/datasets.json @@ -1255,12 +1255,12 @@ "description": "VMS de Papúa Nueva Guinea (Buques de pesca)", "schema": { "id": "id", - "flag": "bandera", - "source": "fuente", - "callsign": "signatura", - "shipname": "shipname", + "registryInfo": "registryInfo", + "registryOwners": "registryOwners", + "selfReportedInfo": "selfReportedInfo", "lastTransmissionDate": "lastTransmissionDate", - "firstTransmissionDate": "firstTransmissionDate" + "firstTransmissionDate": "firstTransmissionDate", + "registryAuthorizations": "registryAuthorizations" } }, "private-png-presence": { @@ -1346,6 +1346,55 @@ "vessel_id": "vessel_id" } }, + "public-ais-presence-viirs-match": { + "name": "VIIRS", + "description": "La capa de detección nocturna de barcos, conocida como conjunto de radiómetros de imágenes infrarrojas visibles (VIIRS, por sus siglas en ingles), muestra las embarcaciones en el mar que los satélites han detectado por la luz que emiten durante la noche. Aunque no se asocia exclusivamente con embarcaciones pesqueras, es probable que esta capa de actividad muestre embarcaciones asociadas con actividades como la pesca de calamar, que utilizan luces brillantes y pescan de noche.
\n
\nBasado en el satélite Suomi NPP, el sensor VIIRS pasa por todo el planeta al menos una vez cada noche, detectando luces para proporcionar al menos una observación diaria a nivel mundial. Debido al diseño de la órbita de los satélites de órbita polar, las regiones más cercanas a los polos tendrán más sobrepasos por día, mientras que las regiones ecuatoriales solo tienen un sobrepaso por día.
\n
\nDebido a que las embarcaciones se detectan únicamente en función a la emisión de luz, podemos detectar embarcaciones individuales e incluso flotas pesqueras completas que pueden no transmitir información de su identidad y, por lo tanto, pueden no estar representadas en otra parte del mapa de Global Fishing Watch. Global Fishing Watch incluye las detecciones de embarcaciones procesadas a partir de datos de las imágenes satelitales nocturnas recopilados por la Administración Nacional Oceánica y Atmosférica de los EE. UU. (NOAA por sus siglas en inglés) VIIRS. Las detecciones de embarcaciones son procesadas casi en tiempo real por el Earth Observation Group en la Colorado School of Mines. Los datos, conocidos como detecciones de embarcaciones VIIRS, detectan la presencia de embarcaciones, incluidas aquellas que pescan con luces para atraer a su recurso objetivo o para realizar operaciones nocturnas. Se excluyen las luces de las infraestructuras fijas en el mar y otras fuentes ajenas a las embarcaciones. Obtenga más información sobre las detecciones nocturnas de embarcaciones VIIRS y descargue los datos.
\n
\nGlobal Fishing Watch ha desarrollado un sistema sofisticado para hacer coincidir los datos disponibles del sistema de identificación automática (AIS, por sus siglas en inglés) con las respectivas detecciones nocturnas de embarcaciones. Esta coincidencia se realiza mediante un modelo probabilístico que determina los mensajes AIS/detección VIIRS que coinciden en función de todos los registros AIS disponibles justo antes y después de la hora en que se tomó la imagen satelital VIIRS, así como la probabilidad de emparejar un mensaje específico de AIS para cualquiera de las embarcaciones que aparecen en esa imagen satelital. Con esta información, Global Fishing Watch agregó la capacidad de filtrar las detecciones según el tipo de embarcación y el tipo de arte de pesca dentro de la capa de actividad VIIRS.
\n
\nMás del 85% de las detecciones son de embarcaciones que carecen de transpondedores AIS o del sistema de monitoreo de embarcaciones (VMS, por sus siglas en inglés). La adición global de la capa VIIRS le permite rápidamente filtrar las detecciones nocturnas que coincidieron o no con AIS, donde la identificación de la embarcación está disponible.
\n
\nEl resplandor indica el brillo de la fuente de luz recibida por el sensor VIIRS. El resplandor se ve afectado por la luna, las nubes y el ángulo de la embarcación identificada desde el satélite. Dos embarcaciones con el mismo brillo o intensidad de luz pueden tener diferentes niveles de resplandor dependiendo de las condiciones. En general, las embarcaciones que no están pescando activamente con luz pueden tener niveles de resplandor más bajos. Deben considerarse excepciones cuando los barcos se acercan a la costa. Para explorar más a fondo cómo las luces de las embarcaciones emiten diferentes niveles de resplandor durante la noche, la capa de actividad VIIRS puede ser filtrada por rangos específicos de interés asociados con diferentes comportamientos humanos.
\n
\nAquellos que utilizan datos de detecciones nocturnas deben considerar la Anomalía del Atlántico Sur (SAA, siglas en inglés), un área donde el cinturón interno de resplandor de Van Allen de la Tierra se encuentra en su altitud más baja, lo que permite que penetren más partículas energéticas del espacio. Cuando tales partículas golpean los sensores en un satélite, esto puede crear una señal falsa que podría hacer que el algoritmo lo reconozca como una detección de embarcación. Se ha aplicado un algoritmo de filtración, pero aún puede haber algún error de identificación ", + "schema": { + "cel": "cel", + "lat": "lat", + "lon": "lon", + "pos": "pos", + "flag": "bandera", + "htime": "htime", + "matched": { + "keyword": "coincidencia", + "enum": { + "true": true, + "false": false + } + }, + "radiance": { + "keyword": "Resplandor", + "enum": { + "0": 0, + "10000": 10000 + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "unknown": "unknown", + "fishing": "fishing", + "carrier": "carrier", + "support": "support" + } + }, + "detect_id": "detect_id", + "qf_detect": { + "keyword": "qf_detect", + "enum": { + "1": 1, + "2": 2, + "3": 3, + "5": 5, + "7": 7, + "10": 10 + } + }, + "timestamp": "timestamp", + "vessel_id": "vessel_id" + } + }, "public-areas-to-be-avoided-1618836788619": { "name": "Areas to be Avoided by Cargo Shipping", "description": "25 nm buffer around islands recommending shipping diversion", @@ -1877,6 +1926,23 @@ "description": "", "schema": {} }, + "public-global-all-tracks": { + "name": "Trayectorias", + "description": "The dataset contains the tracks from all vessels (AIS) - Version 20231026", + "schema": { + "lat": "lat", + "lon": "lon", + "flag": "bandera", + "night": "night", + "speed": "velocidad", + "course": "course", + "seg_id": "seg_id", + "elevation": "elevation", + "timestamp": "timestamp", + "distance_from_port": "distance_from_port", + "distance_from_shore": "distance_from_shore" + } + }, "public-global-all-vessels": { "name": "AIS (All Vessels)", "description": "Vessels from AIS", @@ -1963,7 +2029,9 @@ "name": "Encounter Events. (AIS)", "description": "Identificado de los datos AIS como lugares donde dos buques, un transportador y uno pesquero; estuvieron a 500 metros durante al menos 2 horas y viajando a una velocidad media de <2 nudos, y a menos de 10 km de la costa.", "schema": { + "flag": "bandera", "fields": "fields", + "duration": "duración", "event_id": "event_id", "event_end": "event_end", "vessel_id": "vessel_id", @@ -2125,14 +2193,16 @@ "vessel_type": { "keyword": "vessel_type", "enum": { - "fishing": "fishing", "carrier": "carrier", - "cargo": "cargo", - "bunker_or_tanker": "bunker_or_tanker", - "passenger": "passenger", "seismic_vessel": "seismic_vessel", - "other_non_fishing": "other_non_fishing", - "unknown": "unknown" + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "Arte", + "cargo": "cargo", + "fishing": "fishing", + "discrepancy": "discrepancy" } }, "vessel-groups": "vessel-groups" @@ -2144,7 +2214,7 @@ "schema": {} }, "public-global-sar-presence": { - "name": "SAR", + "name": "SAR with Neural classification", "description": "El radar de apertura sintética (SAR) puede detectar embarcaciones y estructuras en el mar en cualquier condición climática. SAR es un sensor satelital que dispara microondas a la superficie de la Tierra y mide la amplitud y la fase de las señales que se reflejan desde los objetos en el suelo y el agua, lo que se conoce como retrodispersión.
\n
\nLa imagen SAR formada a partir de esta retrodispersión contiene abundante información sobre el tamaño, la orientación, la composición, el estado y la textura de los objetos en el agua.
\n
\nEstos sistemas de medición funcionan en cualquier condición climática y nivel de iluminación, incluyendo las nubes o la lluvia, la luz del día o la oscuridad. Brindan una ventaja sobre otros sensores satelitales, como las imágenes electro-ópticas, las cuales son similares a tomar una fotografía con una cámara; los resultados dependen de la luz del sol y/o la radiación infrarroja emitida por objetos en el suelo. Las imágenes electro-ópticas pueden ser afectadas por la nubosidad, la neblina, los fenómenos meteorológicos y la oscuridad estacional en latitudes altas. En comparación, SAR ha demostrado ser la opción más consistente para detectar embarcaciones en el mar.
\n
\nDetección de embarcaciones con SAR
\n
\nUsamos imágenes SAR de la misión Copernicus Sentinel-1 de la Agencia Espacial Europea (ESA por sus siglas en inglés), que provienen de satélites en órbita polar (S1A y, anteriormente, S1B), para detectar todas las naves en cada escena. Nuestro enfoque combina una versión modificada de un método de detección de barcos bien establecido (tasa constante de alarmas falsas, CFAR por sus siglas en inglés) con el aprendizaje automático moderno para identificar el tamaño de las detecciones y eliminar las falsas detecciones. Este método de detección consiste en identificar los píxeles mediante un nivel de \"brillo\" por encima de la retrodispersión media del fondo, representando el eco marino alrededor del objeto, y luego usar el aprendizaje automático para filtrar y mejorar los resultados.
\n
\nEmparejamiento de las detecciones de SAR con los transmisores del sistema de identificación automática (AIS)
\n
\nLos transmisores AIS transmiten las posiciones GPS de la embarcación para ayudar a las embarcaciones cercanas a evitar colisiones, y estos mensajes AIS pueden ser registrados por constelaciones de satélites. Global Fishing Watch ha desarrollado un sistema sofisticado para emparejar los datos AIS disponibles con las detecciones de embarcaciones SAR respectivas. Este emparejamiento se realiza mediante un modelo de probabilidad que determina los pares de detecciones de SAR y mensajes AIS en función de todos los registros AIS disponibles justo antes y después del momento en que se tomó la imagen SAR, así como la probabilidad de emparejar un mensaje AIS específico con cualquiera de las embarcaciones que aparecen en esa imagen. El algoritmo de emparejamiento proporciona una puntuación y un valor de confianza para cada emparejamiento potencial de SAR-AIS. Solo se incluyen los emparejamientos con altos valores de confianza. Obtenga más información sobre la metodologíaen este estudio prepublicado: https://eartharxiv.org/repository/view/3239/
\n
\nEmparejamiento AIS e identidad de la embarcación
\n
\nNo todas las embarcaciones están obligadas a llevar transmisores AIS (por ejemplo, la Unión Europea solo requiere el uso de AIS para embarcaciones de más de 20 metros de eslora), y las embarcaciones involucradas en actividades ilegales pueden apagar sus transmisores AIS. Esto significa que, mediante el AIS de todas las detecciones de SAR \"emparejadas con AIS\", tenemos información disponible como las características de la embarcación y si está pescando o no.. Por otro lado, todas las detecciones de SAR “no emparejadas con AIS” corresponden a embarcaciones que no pueden ser rastreadas con AIS, algunas de las cuales pueden estar involucradas en pesca ilegal, no declarada y no reglamentada (INDNR). En cualquier caso, las detecciones de SAR no emparejadas proporcionan información faltante sobre el tráfico de embarcaciones en el océano.
\n
\nFuente
\n
\nUtilizamos imágenes SAR del producto Sentinel-1 Interferometric Wide Swath Mode (IW) Level-1 Ground Range Detected (GRD) de la ESA, que cubre todas las aguas costeras del mundo con una resolución de aproximadamente 20 metros. Analizamos escenas SAR y detectamos objetos utilizando la plataforma Google Earth Engine y un clasificador de redes neuronales.
\n
\nZonas de detección
\n
\nLa zona de detección es el área dentro de cada escaneo satelital (o escena) que la plataforma usa para realizar detecciones. Estos filtros ayudan a mantener detecciones relevantes y excluyen datos que pueden ser inexactos.
\n
\nLa zona de detección es más pequeña que la escena total, ya que excluye cualquier área terrestre o islas, al igual que un borde de 500 metros en los límites de la escena y cualquier área a menos de 1 kilómetro de las costas.
\n
\nFiltración
\n
\nGFW ha procesado posteriormente las detecciones de SAR para reducir el ruido (falsos positivos), eliminar las infraestructuras en alta mar y excluir áreas con hielo marino en latitudes altas
", "schema": { "id": "id", @@ -2152,6 +2222,7 @@ "lon": "lon", "pos": "pos", "cell": "cell", + "flag": "bandera", "htime": "htime", "ssvid": "ssvid", "matched": { @@ -2161,8 +2232,65 @@ "false": false } }, + "geartype": { + "keyword": "geartype", + "enum": { + "dredge_fishing": "Pesca de dragado", + "seiners": "cerqueros", + "passenger": "passenger", + "pole_and_line": "vara", + "cargo_or_tanker": "cargo_or_tanker", + "other": "other", + "other_purse_seines": "Otras redes de cerco", + "purse_seine_support": "purse_seine_support", + "specialized_reefer": "specialized_reefer", + "carrier": "carrier", + "trawlers": "Red de arrastre", + "set_gillnets": "Redes de enmalle", + "squid_jigger": "Jigger calamar", + "seismic_vessel": "seismic_vessel", + "tug": "tug", + "bunker": "bunker", + "gear": "Arte", + "purse_seines": "Redes de cerco", + "patrol_vessel": "patrol_vessel", + "set_longlines": "Palangres", + "tuna_purse_seines": "redes de cerco atunera", + "trollers": "curricaneros", + "drifting_longlines": "Palangres a la deriva", + "pots_and_traps": "Trampas y nasas", + "non_fishing": "non_fishing", + "inconclusive": "inconclusive", + "fixed_gear": "equipo fijo", + "cargo": "cargo" + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "carrier": "carrier", + "seismic_vessel": "seismic_vessel", + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "Arte", + "cargo": "cargo", + "fishing": "fishing", + "discrepancy": "discrepancy" + } + }, "timestamp": "timestamp", - "confidence": "confidence" + "vessel_id": "vessel_id", + "confidence": "confidence", + "neural_vessel_type": { + "keyword": "neural_vessel_type", + "enum": { + "Likely non-fishing": "Likely non-fishing", + "Likely Fishing": "Likely Fishing", + "Unknown": "Desconocido" + } + } } }, "public-global-support-vessels": { diff --git a/libs/i18n-labels/fr/datasets.json b/libs/i18n-labels/fr/datasets.json index c1ff2a5d5a..54f6ace15e 100644 --- a/libs/i18n-labels/fr/datasets.json +++ b/libs/i18n-labels/fr/datasets.json @@ -1255,12 +1255,12 @@ "description": "Dataset for VMS Papua New Guinea (Private)", "schema": { "id": "id", - "flag": "pavillon", - "source": "source", - "callsign": "indicatifs d'appel", - "shipname": "shipname", + "registryInfo": "registryInfo", + "registryOwners": "registryOwners", + "selfReportedInfo": "selfReportedInfo", "lastTransmissionDate": "lastTransmissionDate", - "firstTransmissionDate": "firstTransmissionDate" + "firstTransmissionDate": "firstTransmissionDate", + "registryAuthorizations": "registryAuthorizations" } }, "private-png-presence": { @@ -1346,6 +1346,55 @@ "vessel_id": "vessel_id" } }, + "public-ais-presence-viirs-match": { + "name": "VIIRS Match", + "description": "The night lights vessel detections layer, known as visible infrared imaging radiometer suite or VIIRS, shows vessels at sea that satellites have detected by the light they emit at night. Though not exclusively associated with fishing vessels, this activity layer is likely to show vessels associated with activities like squid fishing, which use bright lights and fish at night.The satellite makes a single over-pass across the entire planet every night, detecting lights not obscured by clouds and designed to give at least one observation globally every day. Because the vessels are detected solely based on light emission, we can detect individual vessels and even entire fishing fleets that are not broadcasting automatic identification system (AIS) and so are not represented in the AIS apparent fishing effort layer. Lights from fixed offshore infrastructure and other non-vessel sources are excluded. Global Fishing Watch ingests boat detections processed from low light imaging data collected by the U.S. National Oceanic and Atmospheric Administration (NOAA) VIIRS. The boat detections are processed in near-real time by NOAA’s Earth Observation Group, located in Boulder, Colorado. The data, known as VIIRS boat detections, picks up the presence of fishing vessels using lights to attract catch or to conduct operations at night. More than 85% of the detections are from vessels that lack AIS or Vessel Monitoring System (VMS) transponders. Due to the orbit design of polar orbiting satellites, regions closer to polar will have more over-passes per day, while equatorial regions have only one over-pass daily. Read more about this product, and download the data here.Those using night light detections data should acknowledge the South Atlantic Anomaly (SAA), an area where the Earth's inner Van Allen radiation belt is at its lowest altitude, allowing more energetic particles from space to penetrate. When such particles hit the sensors on a satellite, this can create a false signal which might cause the algorithm to recognize it as a boat presence. A filtration algorithm has been applied but there may still be some mis-identification. The GFW layer includes quality flags (QF), including a filter to show only detections which NOAA has classified as vessels (QF1)", + "schema": { + "cel": "cel", + "lat": "lat", + "lon": "lon", + "pos": "pos", + "flag": "pavillon", + "htime": "htime", + "matched": { + "keyword": "matched", + "enum": { + "true": true, + "false": false + } + }, + "radiance": { + "keyword": "radiance", + "enum": { + "0": 0, + "10000": 10000 + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "unknown": "unknown", + "fishing": "pêche", + "carrier": "carrier", + "support": "support" + } + }, + "detect_id": "detect_id", + "qf_detect": { + "keyword": "qf_detect", + "enum": { + "1": 1, + "2": 2, + "3": 3, + "5": 5, + "7": 7, + "10": 10 + } + }, + "timestamp": "timestamp", + "vessel_id": "vessel_id" + } + }, "public-areas-to-be-avoided-1618836788619": { "name": "Areas to be Avoided by Cargo Shipping", "description": "25 nm buffer around islands recommending shipping diversion", @@ -1877,6 +1926,23 @@ "description": "", "schema": {} }, + "public-global-all-tracks": { + "name": "Trajectoires", + "description": "The dataset contains the tracks from all vessels (AIS) - Version 20231026", + "schema": { + "lat": "lat", + "lon": "lon", + "flag": "pavillon", + "night": "night", + "speed": "vitesse", + "course": "course", + "seg_id": "seg_id", + "elevation": "elevation", + "timestamp": "timestamp", + "distance_from_port": "distance_from_port", + "distance_from_shore": "distance_from_shore" + } + }, "public-global-all-vessels": { "name": "AIS (All Vessels)", "description": "Vessels from AIS", @@ -1961,9 +2027,11 @@ }, "public-global-encounters-events": { "name": "Événements de rencontre (AIS)", - "description": "The dataset contains encounter events for AIS. [Fishing-Carriers, Carriers-Fishing, Support-Fishing, Fishing-Support]", + "description": "The dataset contains encounter events for AIS.", "schema": { + "flag": "pavillon", "fields": "fields", + "duration": "durée", "event_id": "event_id", "event_end": "event_end", "vessel_id": "vessel_id", @@ -2125,14 +2193,16 @@ "vessel_type": { "keyword": "vessel_type", "enum": { - "fishing": "pêche", "carrier": "carrier", - "cargo": "cargo", - "bunker_or_tanker": "bunker_or_tanker", - "passenger": "passenger", "seismic_vessel": "seismic_vessel", - "other_non_fishing": "other_non_fishing", - "unknown": "unknown" + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "engin", + "cargo": "cargo", + "fishing": "pêche", + "discrepancy": "discrepancy" } }, "vessel-groups": "vessel-groups" @@ -2144,7 +2214,7 @@ "schema": {} }, "public-global-sar-presence": { - "name": "SAR", + "name": "SAR with Neural classification", "description": "SAR", "schema": { "id": "id", @@ -2152,6 +2222,7 @@ "lon": "lon", "pos": "pos", "cell": "cell", + "flag": "pavillon", "htime": "htime", "ssvid": "ssvid", "matched": { @@ -2161,8 +2232,65 @@ "false": false } }, + "geartype": { + "keyword": "type d’engin", + "enum": { + "dredge_fishing": "Pêche_dragée", + "seiners": "seiners", + "passenger": "passenger", + "pole_and_line": "pole_et_ligne", + "cargo_or_tanker": "cargo_or_tanker", + "other": "other", + "other_purse_seines": "autres_seines de sac", + "purse_seine_support": "purse_seine_support", + "specialized_reefer": "specialized_reefer", + "carrier": "carrier", + "trawlers": "trawlers", + "set_gillnets": "set_gillnets", + "squid_jigger": "jigger squid", + "seismic_vessel": "seismic_vessel", + "tug": "tug", + "bunker": "bunker", + "gear": "engin", + "purse_seines": "purse_seines", + "patrol_vessel": "patrol_vessel", + "set_longlines": "set_longlines", + "tuna_purse_seines": "tuna_purse_seines", + "trollers": "trollers", + "drifting_longlines": "drifting_longlines", + "pots_and_traps": "pots_and_traps", + "non_fishing": "non_fishing", + "inconclusive": "inconclusive", + "fixed_gear": "équipement_fixe", + "cargo": "cargo" + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "carrier": "carrier", + "seismic_vessel": "seismic_vessel", + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "engin", + "cargo": "cargo", + "fishing": "pêche", + "discrepancy": "discrepancy" + } + }, "timestamp": "timestamp", - "confidence": "confidence" + "vessel_id": "vessel_id", + "confidence": "confidence", + "neural_vessel_type": { + "keyword": "neural_vessel_type", + "enum": { + "Likely non-fishing": "Likely non-fishing", + "Likely Fishing": "Likely Fishing", + "Unknown": "Inconnu" + } + } } }, "public-global-support-vessels": { diff --git a/libs/i18n-labels/id/datasets.json b/libs/i18n-labels/id/datasets.json index 75ad86e1fa..4364d53208 100644 --- a/libs/i18n-labels/id/datasets.json +++ b/libs/i18n-labels/id/datasets.json @@ -1255,12 +1255,12 @@ "description": "Dataset for VMS Papua New Guinea (Private)", "schema": { "id": "id", - "flag": "flag", - "source": "source", - "callsign": "callsign", - "shipname": "shipname", + "registryInfo": "registryInfo", + "registryOwners": "registryOwners", + "selfReportedInfo": "selfReportedInfo", "lastTransmissionDate": "lastTransmissionDate", - "firstTransmissionDate": "firstTransmissionDate" + "firstTransmissionDate": "firstTransmissionDate", + "registryAuthorizations": "registryAuthorizations" } }, "private-png-presence": { @@ -1346,6 +1346,55 @@ "vessel_id": "vessel_id" } }, + "public-ais-presence-viirs-match": { + "name": "VIIRS Match", + "description": "The night lights vessel detections layer, known as visible infrared imaging radiometer suite or VIIRS, shows vessels at sea that satellites have detected by the light they emit at night. Though not exclusively associated with fishing vessels, this activity layer is likely to show vessels associated with activities like squid fishing, which use bright lights and fish at night.The satellite makes a single over-pass across the entire planet every night, detecting lights not obscured by clouds and designed to give at least one observation globally every day. Because the vessels are detected solely based on light emission, we can detect individual vessels and even entire fishing fleets that are not broadcasting automatic identification system (AIS) and so are not represented in the AIS apparent fishing effort layer. Lights from fixed offshore infrastructure and other non-vessel sources are excluded. Global Fishing Watch ingests boat detections processed from low light imaging data collected by the U.S. National Oceanic and Atmospheric Administration (NOAA) VIIRS. The boat detections are processed in near-real time by NOAA’s Earth Observation Group, located in Boulder, Colorado. The data, known as VIIRS boat detections, picks up the presence of fishing vessels using lights to attract catch or to conduct operations at night. More than 85% of the detections are from vessels that lack AIS or Vessel Monitoring System (VMS) transponders. Due to the orbit design of polar orbiting satellites, regions closer to polar will have more over-passes per day, while equatorial regions have only one over-pass daily. Read more about this product, and download the data here.Those using night light detections data should acknowledge the South Atlantic Anomaly (SAA), an area where the Earth's inner Van Allen radiation belt is at its lowest altitude, allowing more energetic particles from space to penetrate. When such particles hit the sensors on a satellite, this can create a false signal which might cause the algorithm to recognize it as a boat presence. A filtration algorithm has been applied but there may still be some mis-identification. The GFW layer includes quality flags (QF), including a filter to show only detections which NOAA has classified as vessels (QF1)", + "schema": { + "cel": "cel", + "lat": "lat", + "lon": "lon", + "pos": "pos", + "flag": "flag", + "htime": "htime", + "matched": { + "keyword": "matched", + "enum": { + "true": true, + "false": false + } + }, + "radiance": { + "keyword": "radiance", + "enum": { + "0": 0, + "10000": 10000 + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "unknown": "unknown", + "fishing": "fishing", + "carrier": "carrier", + "support": "support" + } + }, + "detect_id": "detect_id", + "qf_detect": { + "keyword": "qf_detect", + "enum": { + "1": 1, + "2": 2, + "3": 3, + "5": 5, + "7": 7, + "10": 10 + } + }, + "timestamp": "timestamp", + "vessel_id": "vessel_id" + } + }, "public-areas-to-be-avoided-1618836788619": { "name": "Areas to be Avoided by Cargo Shipping", "description": "25 nm buffer around islands recommending shipping diversion", @@ -1877,6 +1926,23 @@ "description": "", "schema": {} }, + "public-global-all-tracks": { + "name": "Lintasan", + "description": "The dataset contains the tracks from all vessels (AIS) - Version 20231026", + "schema": { + "lat": "lat", + "lon": "lon", + "flag": "flag", + "night": "night", + "speed": "kecepatan", + "course": "course", + "seg_id": "seg_id", + "elevation": "elevation", + "timestamp": "timestamp", + "distance_from_port": "distance_from_port", + "distance_from_shore": "distance_from_shore" + } + }, "public-global-all-vessels": { "name": "AIS (All Vessels)", "description": "Vessels from AIS", @@ -1961,9 +2027,11 @@ }, "public-global-encounters-events": { "name": "Encounter Events. (AIS)", - "description": "The dataset contains encounter events for AIS. [Fishing-Carriers, Carriers-Fishing, Support-Fishing, Fishing-Support]", + "description": "The dataset contains encounter events for AIS.", "schema": { + "flag": "flag", "fields": "fields", + "duration": "durasi", "event_id": "event_id", "event_end": "event_end", "vessel_id": "vessel_id", @@ -2125,14 +2193,16 @@ "vessel_type": { "keyword": "vessel_type", "enum": { - "fishing": "fishing", "carrier": "carrier", - "cargo": "cargo", - "bunker_or_tanker": "bunker_or_tanker", - "passenger": "passenger", "seismic_vessel": "seismic_vessel", - "other_non_fishing": "other_non_fishing", - "unknown": "unknown" + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "Peralatan", + "cargo": "cargo", + "fishing": "fishing", + "discrepancy": "discrepancy" } }, "vessel-groups": "vessel-groups" @@ -2144,7 +2214,7 @@ "schema": {} }, "public-global-sar-presence": { - "name": "SAR", + "name": "SAR with Neural classification", "description": "SAR", "schema": { "id": "id", @@ -2152,6 +2222,7 @@ "lon": "lon", "pos": "pos", "cell": "cell", + "flag": "flag", "htime": "htime", "ssvid": "ssvid", "matched": { @@ -2161,8 +2232,65 @@ "false": false } }, + "geartype": { + "keyword": "geartype", + "enum": { + "dredge_fishing": "dredge_fishing", + "seiners": "seiners", + "passenger": "passenger", + "pole_and_line": "pole_and_line", + "cargo_or_tanker": "cargo_or_tanker", + "other": "other", + "other_purse_seines": "other_purse_seines", + "purse_seine_support": "purse_seine_support", + "specialized_reefer": "specialized_reefer", + "carrier": "carrier", + "trawlers": "trawlers", + "set_gillnets": "set_gillnets", + "squid_jigger": "squid_jigger", + "seismic_vessel": "seismic_vessel", + "tug": "tug", + "bunker": "bunker", + "gear": "Peralatan", + "purse_seines": "purse_seines", + "patrol_vessel": "patrol_vessel", + "set_longlines": "set_longlines", + "tuna_purse_seines": "tuna_purse_seines", + "trollers": "trollers", + "drifting_longlines": "drifting_longlines", + "pots_and_traps": "pots_and_traps", + "non_fishing": "non_fishing", + "inconclusive": "inconclusive", + "fixed_gear": "fixed_gear", + "cargo": "cargo" + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "carrier": "carrier", + "seismic_vessel": "seismic_vessel", + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "Peralatan", + "cargo": "cargo", + "fishing": "fishing", + "discrepancy": "discrepancy" + } + }, "timestamp": "timestamp", - "confidence": "confidence" + "vessel_id": "vessel_id", + "confidence": "confidence", + "neural_vessel_type": { + "keyword": "neural_vessel_type", + "enum": { + "Likely non-fishing": "Likely non-fishing", + "Likely Fishing": "Likely Fishing", + "Unknown": "Tidak diketahui" + } + } } }, "public-global-support-vessels": { diff --git a/libs/i18n-labels/pt/datasets.json b/libs/i18n-labels/pt/datasets.json index a95f8b1254..535e32ce72 100644 --- a/libs/i18n-labels/pt/datasets.json +++ b/libs/i18n-labels/pt/datasets.json @@ -1255,12 +1255,12 @@ "description": "Papua Nova Guiné VMS (Embarcações pesqueiras)", "schema": { "id": "id", - "flag": "flag", - "source": "source", - "callsign": "callsign", - "shipname": "Embarcação", + "registryInfo": "registryInfo", + "registryOwners": "registryOwners", + "selfReportedInfo": "selfReportedInfo", "lastTransmissionDate": "última data de transmissão", - "firstTransmissionDate": "primeira data de transmissão" + "firstTransmissionDate": "primeira data de transmissão", + "registryAuthorizations": "registryAuthorizations" } }, "private-png-presence": { @@ -1346,6 +1346,55 @@ "vessel_id": "vessel_id" } }, + "public-ais-presence-viirs-match": { + "name": "VIIRS Match", + "description": "The night lights vessel detections layer, known as visible infrared imaging radiometer suite or VIIRS, shows vessels at sea that satellites have detected by the light they emit at night. Though not exclusively associated with fishing vessels, this activity layer is likely to show vessels associated with activities like squid fishing, which use bright lights and fish at night.The satellite makes a single over-pass across the entire planet every night, detecting lights not obscured by clouds and designed to give at least one observation globally every day. Because the vessels are detected solely based on light emission, we can detect individual vessels and even entire fishing fleets that are not broadcasting automatic identification system (AIS) and so are not represented in the AIS apparent fishing effort layer. Lights from fixed offshore infrastructure and other non-vessel sources are excluded. Global Fishing Watch ingests boat detections processed from low light imaging data collected by the U.S. National Oceanic and Atmospheric Administration (NOAA) VIIRS. The boat detections are processed in near-real time by NOAA’s Earth Observation Group, located in Boulder, Colorado. The data, known as VIIRS boat detections, picks up the presence of fishing vessels using lights to attract catch or to conduct operations at night. More than 85% of the detections are from vessels that lack AIS or Vessel Monitoring System (VMS) transponders. Due to the orbit design of polar orbiting satellites, regions closer to polar will have more over-passes per day, while equatorial regions have only one over-pass daily. Read more about this product, and download the data here.Those using night light detections data should acknowledge the South Atlantic Anomaly (SAA), an area where the Earth's inner Van Allen radiation belt is at its lowest altitude, allowing more energetic particles from space to penetrate. When such particles hit the sensors on a satellite, this can create a false signal which might cause the algorithm to recognize it as a boat presence. A filtration algorithm has been applied but there may still be some mis-identification. The GFW layer includes quality flags (QF), including a filter to show only detections which NOAA has classified as vessels (QF1)", + "schema": { + "cel": "cel", + "lat": "lat", + "lon": "lon", + "pos": "pos", + "flag": "flag", + "htime": "htime", + "matched": { + "keyword": "matched", + "enum": { + "true": true, + "false": false + } + }, + "radiance": { + "keyword": "radiance", + "enum": { + "0": 0, + "10000": 10000 + } + }, + "shiptype": { + "keyword": "tipo de embarcação", + "enum": { + "unknown": "unknown", + "fishing": "pesca", + "carrier": "carrier", + "support": "support" + } + }, + "detect_id": "detect_id", + "qf_detect": { + "keyword": "qf_detect", + "enum": { + "1": 1, + "2": 2, + "3": 3, + "5": 5, + "7": 7, + "10": 10 + } + }, + "timestamp": "timestamp", + "vessel_id": "vessel_id" + } + }, "public-areas-to-be-avoided-1618836788619": { "name": "Areas to be Avoided by Cargo Shipping", "description": "25 nm buffer around islands recommending shipping diversion", @@ -1877,6 +1926,23 @@ "description": "", "schema": {} }, + "public-global-all-tracks": { + "name": "Rotas", + "description": "The dataset contains the tracks from all vessels (AIS) - Version 20231026", + "schema": { + "lat": "lat", + "lon": "lon", + "flag": "flag", + "night": "night", + "speed": "velocidade", + "course": "course", + "seg_id": "seg_id", + "elevation": "elevation", + "timestamp": "timestamp", + "distance_from_port": "distance_from_port", + "distance_from_shore": "distance_from_shore" + } + }, "public-global-all-vessels": { "name": "AIS (All Vessels)", "description": "Vessels from AIS", @@ -1961,9 +2027,11 @@ }, "public-global-encounters-events": { "name": "Encounter Events. (AIS)", - "description": "The dataset contains encounter events for AIS. [Fishing-Carriers, Carriers-Fishing, Support-Fishing, Fishing-Support]", + "description": "The dataset contains encounter events for AIS.", "schema": { + "flag": "flag", "fields": "fields", + "duration": "duração", "event_id": "event_id", "event_end": "event_end", "vessel_id": "vessel_id", @@ -2125,14 +2193,16 @@ "vessel_type": { "keyword": "vessel_type", "enum": { - "fishing": "pesca", "carrier": "carrier", - "cargo": "cargo", - "bunker_or_tanker": "bunker_or_tanker", - "passenger": "passenger", "seismic_vessel": "seismic_vessel", - "other_non_fishing": "other_non_fishing", - "unknown": "unknown" + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "petrecho", + "cargo": "cargo", + "fishing": "pesca", + "discrepancy": "discrepancy" } }, "vessel-groups": "vessel-groups" @@ -2144,7 +2214,7 @@ "schema": {} }, "public-global-sar-presence": { - "name": "SAR", + "name": "SAR with Neural classification", "description": "SAR", "schema": { "id": "id", @@ -2152,6 +2222,7 @@ "lon": "lon", "pos": "pos", "cell": "cell", + "flag": "flag", "htime": "htime", "ssvid": "ssvid", "matched": { @@ -2161,8 +2232,65 @@ "false": false } }, + "geartype": { + "keyword": "Aparelho de pesca", + "enum": { + "dredge_fishing": "dredge_fishing", + "seiners": "seiners", + "passenger": "passenger", + "pole_and_line": "Vara e isca viva", + "cargo_or_tanker": "cargo_or_tanker", + "other": "other", + "other_purse_seines": "Rede de Cerco", + "purse_seine_support": "purse_seine_support", + "specialized_reefer": "specialized_reefer", + "carrier": "carrier", + "trawlers": "Arrasto", + "set_gillnets": "Emalhe de Fundo", + "squid_jigger": "squid_jigger", + "seismic_vessel": "seismic_vessel", + "tug": "tug", + "bunker": "bunker", + "gear": "petrecho", + "purse_seines": "purse_seines", + "patrol_vessel": "patrol_vessel", + "set_longlines": "Espinhel de fundo", + "tuna_purse_seines": "tuna_purse_seines", + "trollers": "trollers", + "drifting_longlines": "Espinhel de superfície", + "pots_and_traps": "Armadilhas e potes", + "non_fishing": "non_fishing", + "inconclusive": "inconclusive", + "fixed_gear": "fixed_gear", + "cargo": "cargo" + } + }, + "shiptype": { + "keyword": "tipo de embarcação", + "enum": { + "carrier": "carrier", + "seismic_vessel": "seismic_vessel", + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "petrecho", + "cargo": "cargo", + "fishing": "pesca", + "discrepancy": "discrepancy" + } + }, "timestamp": "timestamp", - "confidence": "confidence" + "vessel_id": "vessel_id", + "confidence": "confidence", + "neural_vessel_type": { + "keyword": "neural_vessel_type", + "enum": { + "Likely non-fishing": "Likely non-fishing", + "Likely Fishing": "Likely Fishing", + "Unknown": "Desconhecido" + } + } } }, "public-global-support-vessels": { diff --git a/libs/i18n-labels/source/datasets.json b/libs/i18n-labels/source/datasets.json index 258d3ac8d2..e3f283178a 100644 --- a/libs/i18n-labels/source/datasets.json +++ b/libs/i18n-labels/source/datasets.json @@ -1255,12 +1255,12 @@ "description": "Dataset for VMS Papua New Guinea (Private)", "schema": { "id": "id", - "flag": "flag", - "source": "source", - "callsign": "callsign", - "shipname": "shipname", + "registryInfo": "registryInfo", + "registryOwners": "registryOwners", + "selfReportedInfo": "selfReportedInfo", "lastTransmissionDate": "lastTransmissionDate", - "firstTransmissionDate": "firstTransmissionDate" + "firstTransmissionDate": "firstTransmissionDate", + "registryAuthorizations": "registryAuthorizations" } }, "private-png-presence": { @@ -1346,6 +1346,55 @@ "vessel_id": "vessel_id" } }, + "public-ais-presence-viirs-match": { + "name": "VIIRS Match", + "description": "The night lights vessel detections layer, known as visible infrared imaging radiometer suite or VIIRS, shows vessels at sea that satellites have detected by the light they emit at night. Though not exclusively associated with fishing vessels, this activity layer is likely to show vessels associated with activities like squid fishing, which use bright lights and fish at night.The satellite makes a single over-pass across the entire planet every night, detecting lights not obscured by clouds and designed to give at least one observation globally every day. Because the vessels are detected solely based on light emission, we can detect individual vessels and even entire fishing fleets that are not broadcasting automatic identification system (AIS) and so are not represented in the AIS apparent fishing effort layer. Lights from fixed offshore infrastructure and other non-vessel sources are excluded. Global Fishing Watch ingests boat detections processed from low light imaging data collected by the U.S. National Oceanic and Atmospheric Administration (NOAA) VIIRS. The boat detections are processed in near-real time by NOAA’s Earth Observation Group, located in Boulder, Colorado. The data, known as VIIRS boat detections, picks up the presence of fishing vessels using lights to attract catch or to conduct operations at night. More than 85% of the detections are from vessels that lack AIS or Vessel Monitoring System (VMS) transponders. Due to the orbit design of polar orbiting satellites, regions closer to polar will have more over-passes per day, while equatorial regions have only one over-pass daily. Read more about this product, and download the data here.Those using night light detections data should acknowledge the South Atlantic Anomaly (SAA), an area where the Earth's inner Van Allen radiation belt is at its lowest altitude, allowing more energetic particles from space to penetrate. When such particles hit the sensors on a satellite, this can create a false signal which might cause the algorithm to recognize it as a boat presence. A filtration algorithm has been applied but there may still be some mis-identification. The GFW layer includes quality flags (QF), including a filter to show only detections which NOAA has classified as vessels (QF1)", + "schema": { + "cel": "cel", + "lat": "lat", + "lon": "lon", + "pos": "pos", + "flag": "flag", + "htime": "htime", + "matched": { + "keyword": "matched", + "enum": { + "true": true, + "false": false + } + }, + "radiance": { + "keyword": "radiance", + "enum": { + "0": 0, + "10000": 10000 + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "unknown": "unknown", + "fishing": "fishing", + "carrier": "carrier", + "support": "support" + } + }, + "detect_id": "detect_id", + "qf_detect": { + "keyword": "qf_detect", + "enum": { + "1": 1, + "2": 2, + "3": 3, + "5": 5, + "7": 7, + "10": 10 + } + }, + "timestamp": "timestamp", + "vessel_id": "vessel_id" + } + }, "public-areas-to-be-avoided-1618836788619": { "name": "Areas to be Avoided by Cargo Shipping", "description": "25 nm buffer around islands recommending shipping diversion", @@ -1877,6 +1926,23 @@ "description": "", "schema": {} }, + "public-global-all-tracks": { + "name": "Tracks", + "description": "The dataset contains the tracks from all vessels (AIS) - Version 20231026", + "schema": { + "lat": "lat", + "lon": "lon", + "flag": "flag", + "night": "night", + "speed": "speed", + "course": "course", + "seg_id": "seg_id", + "elevation": "elevation", + "timestamp": "timestamp", + "distance_from_port": "distance_from_port", + "distance_from_shore": "distance_from_shore" + } + }, "public-global-all-vessels": { "name": "AIS (All Vessels)", "description": "Vessels from AIS", @@ -1961,9 +2027,11 @@ }, "public-global-encounters-events": { "name": "Encounter Events. (AIS)", - "description": "The dataset contains encounter events for AIS. [Fishing-Carriers, Carriers-Fishing, Support-Fishing, Fishing-Support]", + "description": "The dataset contains encounter events for AIS.", "schema": { + "flag": "flag", "fields": "fields", + "duration": "duration", "event_id": "event_id", "event_end": "event_end", "vessel_id": "vessel_id", @@ -2125,14 +2193,16 @@ "vessel_type": { "keyword": "vessel_type", "enum": { - "fishing": "fishing", "carrier": "carrier", - "cargo": "cargo", - "bunker_or_tanker": "bunker_or_tanker", - "passenger": "passenger", "seismic_vessel": "seismic_vessel", - "other_non_fishing": "other_non_fishing", - "unknown": "unknown" + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "gear", + "cargo": "cargo", + "fishing": "fishing", + "discrepancy": "discrepancy" } }, "vessel-groups": "vessel-groups" @@ -2144,7 +2214,7 @@ "schema": {} }, "public-global-sar-presence": { - "name": "SAR", + "name": "SAR with Neural classification", "description": "SAR", "schema": { "id": "id", @@ -2152,6 +2222,7 @@ "lon": "lon", "pos": "pos", "cell": "cell", + "flag": "flag", "htime": "htime", "ssvid": "ssvid", "matched": { @@ -2161,8 +2232,65 @@ "false": false } }, + "geartype": { + "keyword": "geartype", + "enum": { + "dredge_fishing": "dredge_fishing", + "seiners": "seiners", + "passenger": "passenger", + "pole_and_line": "pole_and_line", + "cargo_or_tanker": "cargo_or_tanker", + "other": "other", + "other_purse_seines": "other_purse_seines", + "purse_seine_support": "purse_seine_support", + "specialized_reefer": "specialized_reefer", + "carrier": "carrier", + "trawlers": "trawlers", + "set_gillnets": "set_gillnets", + "squid_jigger": "squid_jigger", + "seismic_vessel": "seismic_vessel", + "tug": "tug", + "bunker": "bunker", + "gear": "gear", + "purse_seines": "purse_seines", + "patrol_vessel": "patrol_vessel", + "set_longlines": "set_longlines", + "tuna_purse_seines": "tuna_purse_seines", + "trollers": "trollers", + "drifting_longlines": "drifting_longlines", + "pots_and_traps": "pots_and_traps", + "non_fishing": "non_fishing", + "inconclusive": "inconclusive", + "fixed_gear": "fixed_gear", + "cargo": "cargo" + } + }, + "shiptype": { + "keyword": "shiptype", + "enum": { + "carrier": "carrier", + "seismic_vessel": "seismic_vessel", + "passenger": "passenger", + "other": "other", + "support": "support", + "bunker": "bunker", + "gear": "gear", + "cargo": "cargo", + "fishing": "fishing", + "discrepancy": "discrepancy" + } + }, "timestamp": "timestamp", - "confidence": "confidence" + "vessel_id": "vessel_id", + "confidence": "confidence", + "neural_vessel_type": { + "keyword": "neural_vessel_type", + "enum": { + "Likely non-fishing": "Likely non-fishing", + "Likely Fishing": "Likely Fishing", + "Unknown": "Unknown" + } + } } }, "public-global-support-vessels": { diff --git a/libs/i18n-labels/val/datasets.json b/libs/i18n-labels/val/datasets.json index 68ee2e7a37..d898666579 100644 --- a/libs/i18n-labels/val/datasets.json +++ b/libs/i18n-labels/val/datasets.json @@ -1255,12 +1255,12 @@ "description": "crwdns69806:0crwdne69806:0", "schema": { "id": "crwdns69808:0crwdne69808:0", - "flag": "crwdns69810:0crwdne69810:0", - "source": "crwdns69812:0crwdne69812:0", - "callsign": "crwdns69814:0crwdne69814:0", - "shipname": "crwdns69816:0crwdne69816:0", + "registryInfo": "crwdns69822:0crwdne69822:0", + "registryOwners": "crwdns69824:0crwdne69824:0", + "selfReportedInfo": "crwdns69826:0crwdne69826:0", "lastTransmissionDate": "crwdns69818:0crwdne69818:0", - "firstTransmissionDate": "crwdns69820:0crwdne69820:0" + "firstTransmissionDate": "crwdns69820:0crwdne69820:0", + "registryAuthorizations": "crwdns69828:0crwdne69828:0" } }, "private-png-presence": { @@ -1346,6 +1346,55 @@ "vessel_id": "crwdns65547:0crwdne65547:0" } }, + "public-ais-presence-viirs-match": { + "name": "crwdns69830:0crwdne69830:0", + "description": "crwdns69832:0crwdne69832:0", + "schema": { + "cel": "crwdns69834:0crwdne69834:0", + "lat": "crwdns69836:0crwdne69836:0", + "lon": "crwdns69838:0crwdne69838:0", + "pos": "crwdns69840:0crwdne69840:0", + "flag": "crwdns69842:0crwdne69842:0", + "htime": "crwdns69844:0crwdne69844:0", + "matched": { + "keyword": "crwdns69846:0crwdne69846:0", + "enum": { + "true": true, + "false": true + } + }, + "radiance": { + "keyword": "crwdns69852:0crwdne69852:0", + "enum": { + "0": 0, + "10000": 0 + } + }, + "shiptype": { + "keyword": "crwdns69858:0crwdne69858:0", + "enum": { + "unknown": "crwdns69860:0crwdne69860:0", + "fishing": "crwdns69862:0crwdne69862:0", + "carrier": "crwdns69864:0crwdne69864:0", + "support": "crwdns69866:0crwdne69866:0" + } + }, + "detect_id": "crwdns69868:0crwdne69868:0", + "qf_detect": { + "keyword": "crwdns69870:0crwdne69870:0", + "enum": { + "1": 0, + "2": 0, + "3": 0, + "5": 0, + "7": 0, + "10": 0 + } + }, + "timestamp": "crwdns69884:0crwdne69884:0", + "vessel_id": "crwdns69886:0crwdne69886:0" + } + }, "public-areas-to-be-avoided-1618836788619": { "name": "crwdns65549:0crwdne65549:0", "description": "crwdns65551:0crwdne65551:0", @@ -1877,6 +1926,23 @@ "description": "crwdns66113:0crwdne66113:0", "schema": {} }, + "public-global-all-tracks": { + "name": "crwdns69888:0crwdne69888:0", + "description": "crwdns69890:0crwdne69890:0", + "schema": { + "lat": "crwdns69892:0crwdne69892:0", + "lon": "crwdns69894:0crwdne69894:0", + "flag": "crwdns69896:0crwdne69896:0", + "night": "crwdns69898:0crwdne69898:0", + "speed": "crwdns69900:0crwdne69900:0", + "course": "crwdns69902:0crwdne69902:0", + "seg_id": "crwdns69904:0crwdne69904:0", + "elevation": "crwdns69906:0crwdne69906:0", + "timestamp": "crwdns69908:0crwdne69908:0", + "distance_from_port": "crwdns69910:0crwdne69910:0", + "distance_from_shore": "crwdns69912:0crwdne69912:0" + } + }, "public-global-all-vessels": { "name": "crwdns66115:0crwdne66115:0", "description": "crwdns66117:0crwdne66117:0", @@ -1961,9 +2027,11 @@ }, "public-global-encounters-events": { "name": "crwdns66233:0crwdne66233:0", - "description": "crwdns66235:0crwdne66235:0", + "description": "crwdns69914:0crwdne69914:0", "schema": { + "flag": "crwdns69916:0crwdne69916:0", "fields": "crwdns66237:0crwdne66237:0", + "duration": "crwdns69918:0crwdne69918:0", "event_id": "crwdns66239:0crwdne66239:0", "event_end": "crwdns66241:0crwdne66241:0", "vessel_id": "crwdns66243:0crwdne66243:0", @@ -2125,14 +2193,16 @@ "vessel_type": { "keyword": "crwdns66461:0crwdne66461:0", "enum": { - "fishing": "crwdns66463:0crwdne66463:0", "carrier": "crwdns66465:0crwdne66465:0", - "cargo": "crwdns66467:0crwdne66467:0", - "bunker_or_tanker": "crwdns66469:0crwdne66469:0", - "passenger": "crwdns66471:0crwdne66471:0", "seismic_vessel": "crwdns66473:0crwdne66473:0", - "other_non_fishing": "crwdns66475:0crwdne66475:0", - "unknown": "crwdns66477:0crwdne66477:0" + "passenger": "crwdns66471:0crwdne66471:0", + "other": "crwdns69920:0crwdne69920:0", + "support": "crwdns69922:0crwdne69922:0", + "bunker": "crwdns69924:0crwdne69924:0", + "gear": "crwdns69926:0crwdne69926:0", + "cargo": "crwdns66467:0crwdne66467:0", + "fishing": "crwdns66463:0crwdne66463:0", + "discrepancy": "crwdns69928:0crwdne69928:0" } }, "vessel-groups": "crwdns66479:0crwdne66479:0" @@ -2144,7 +2214,7 @@ "schema": {} }, "public-global-sar-presence": { - "name": "crwdns66485:0crwdne66485:0", + "name": "crwdns69930:0crwdne69930:0", "description": "crwdns66487:0crwdne66487:0", "schema": { "id": "crwdns66489:0crwdne66489:0", @@ -2152,6 +2222,7 @@ "lon": "crwdns66493:0crwdne66493:0", "pos": "crwdns66495:0crwdne66495:0", "cell": "crwdns66497:0crwdne66497:0", + "flag": "crwdns69932:0crwdne69932:0", "htime": "crwdns66499:0crwdne66499:0", "ssvid": "crwdns66501:0crwdne66501:0", "matched": { @@ -2161,8 +2232,65 @@ "false": true } }, + "geartype": { + "keyword": "crwdns69934:0crwdne69934:0", + "enum": { + "dredge_fishing": "crwdns69936:0crwdne69936:0", + "seiners": "crwdns69938:0crwdne69938:0", + "passenger": "crwdns69940:0crwdne69940:0", + "pole_and_line": "crwdns69942:0crwdne69942:0", + "cargo_or_tanker": "crwdns69944:0crwdne69944:0", + "other": "crwdns69946:0crwdne69946:0", + "other_purse_seines": "crwdns69948:0crwdne69948:0", + "purse_seine_support": "crwdns69950:0crwdne69950:0", + "specialized_reefer": "crwdns69952:0crwdne69952:0", + "carrier": "crwdns69954:0crwdne69954:0", + "trawlers": "crwdns69956:0crwdne69956:0", + "set_gillnets": "crwdns69958:0crwdne69958:0", + "squid_jigger": "crwdns69960:0crwdne69960:0", + "seismic_vessel": "crwdns69962:0crwdne69962:0", + "tug": "crwdns69964:0crwdne69964:0", + "bunker": "crwdns69966:0crwdne69966:0", + "gear": "crwdns69968:0crwdne69968:0", + "purse_seines": "crwdns69970:0crwdne69970:0", + "patrol_vessel": "crwdns69972:0crwdne69972:0", + "set_longlines": "crwdns69974:0crwdne69974:0", + "tuna_purse_seines": "crwdns69976:0crwdne69976:0", + "trollers": "crwdns69978:0crwdne69978:0", + "drifting_longlines": "crwdns69980:0crwdne69980:0", + "pots_and_traps": "crwdns69982:0crwdne69982:0", + "non_fishing": "crwdns69984:0crwdne69984:0", + "inconclusive": "crwdns69986:0crwdne69986:0", + "fixed_gear": "crwdns69988:0crwdne69988:0", + "cargo": "crwdns69990:0crwdne69990:0" + } + }, + "shiptype": { + "keyword": "crwdns69992:0crwdne69992:0", + "enum": { + "carrier": "crwdns69994:0crwdne69994:0", + "seismic_vessel": "crwdns69996:0crwdne69996:0", + "passenger": "crwdns69998:0crwdne69998:0", + "other": "crwdns70000:0crwdne70000:0", + "support": "crwdns70002:0crwdne70002:0", + "bunker": "crwdns70004:0crwdne70004:0", + "gear": "crwdns70006:0crwdne70006:0", + "cargo": "crwdns70008:0crwdne70008:0", + "fishing": "crwdns70010:0crwdne70010:0", + "discrepancy": "crwdns70012:0crwdne70012:0" + } + }, "timestamp": "crwdns66509:0crwdne66509:0", - "confidence": "crwdns66511:0crwdne66511:0" + "vessel_id": "crwdns70014:0crwdne70014:0", + "confidence": "crwdns66511:0crwdne66511:0", + "neural_vessel_type": { + "keyword": "crwdns70016:0crwdne70016:0", + "enum": { + "Likely non-fishing": "crwdns70018:0crwdne70018:0", + "Likely Fishing": "crwdns70020:0crwdne70020:0", + "Unknown": "crwdns70022:0crwdne70022:0" + } + } } }, "public-global-support-vessels": {