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Vector Data

Search our spatial data collections at...

https://earthworks.stanford.edu

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Satellite Imagery

• Planetscope is a 3-meter resolution, multispectral image of the Earth, daily.
• Delivery:
  • planet.com/explorer
  • Orders API
  • ArcGIS Pro & QGIS Integrations
  • Google Earth Engine integration

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Fill out this form for access.

Planet 101 Slides: https://slides.com/staceymaples/planet-stanford-lovedataweek

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Google Earth Engine is more than 100 petabytes and over 700 datasets of Earth Observation Data, updated in near-realtime, colocated with planet-scale processing power and its FREE! 

Access Public Domain Datasets like:

• 50+ years of Landsat
• Sentinel 1 & 2
• Digital Elevation Models
• NASA's MODIS-derived annual land cover maps
• ESA's GlobCover
• NOAA's Global Forecast System (GFS)
• and hundreds more!

Open the Code Editor and load our sample scripts with this link!

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Earth Engine 101: https://github.com/StanfordGeospatialCenter/Google-Earth-Engine_101

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Google Earth Engine Python API Access (hack)
https://samapriyaroy.medium.com/google-cloud-projects-and-earth-engine-integration-in-universities-a-practical-guide-fb16d8dad14a

Geocoding

Search our spatial data collections at...

https://locator.stanford.edu

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Maritime Shipping

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Vessels API

The Spire Vessels API is a REST API service that returns only the most recent information provided for each vessel, in JSON format.

It joins the position reports and static voyage reports which are transmitted in separate AIS messages into a single record. This saves the end user from having to join AIS messages and keep track of the MMSI identifiers linked to each IMO number.

Historical Positions API

The Historical Positions API allows the retrieval of all historical positions for a specific vessel; and either from the beginning of the archive, or within a specified time window. Data available from 2018.

Vessels API

The Spire Vessels API is a REST API service that returns only the most recent information provided for each vessel, in JSON format.

It joins the position reports and static voyage reports which are transmitted in separate AIS messages into a single record. This saves the end user from having to join AIS messages and keep track of the MMSI identifiers linked to each IMO number.

Historical Positions API

The Historical Positions API allows the retrieval of all historical positions for a specific vessel; and either from the beginning of the archive, or within a specified time window. Data available from 2018.

Historical Positions API

The Historical Positions API allows the retrieval of all historical positions for a specific vessel; and either from the beginning of the archive, or within a specified time window. Data available from 2018.

Historical Backfile to 2018

Vessel Characteristics

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Latest Vessels Dataset (LVI) Overview

The Latest Vessels Dataset (LVI) delivers up-to-date global vessel information, sourced from Satellite-AIS (S-AIS), Terrestrial-AIS, and Dynamic AIS systems. Ideal for maritime tracking, planning, and analytics, it provides detailed data for the last 7 days.

Key Data Categories

• Vessel Identification:

  • MMSI, IMO, Vessel Name, Callsign
  • Vessel Type, Cargo Type, Flag, and Vessel Class

• Positional Data:

  • Timestamped positions (UTC), Longitude, Latitude (WGS84)
  • Speed Over Ground (SOG), Course Over Ground (COG), Rate of Turn (ROT), Heading
  • Navigation Status and Source

• Static and Voyage Information:

  • Dimensions (Length, Width, Draught)
  • Destination and Estimated Time of Arrival (ETA)

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Vessel Characteristics Data Overview

The Vessel Characteristics Data Dictionary provides a comprehensive framework for understanding vessel specifications, capabilities, and operational parameters. The data is categorized into fields that address various aspects of vessel performance, design, and history, making it invaluable for maritime operations, logistics, and analytics.

Key Data Categories

• Vessel Capacity:
  Includes metrics such as deadweight, gross/net tonnage, container capacity (TEU/FEU), lane meters, and passenger capacity. Also provides details on specific cargo capacities like refrigerated space and grain cubic capacity.

• Vessel Design:
  Describes structural and functional attributes, such as coated tanks, self-unloading capabilities, and gear specifications, including lifting capacity.

• Vessel Dimensions:
  Details physical dimensions, including draught, length, air draught, and beam, essential for port compatibility and cargo planning.

• Vessel History:
  Tracks historical data, such as construction year, owner changes, and previous names, aiding in vessel tracking and lifecycle analysis.

• Vessel Propulsion:
  Provides propulsion system specifications, including engine count, maximum output, and propeller configurations, critical for performance evaluation.

• Vessel Registration:
  Includes classification society codes, ice class status, and certificate details, important for compliance and operational standards.

• Vessel Type and Trading Status:
  Categorizes vessels by type, trading status (active, newbuilding, or retired), and specific subtypes for refined classification.

• Vessel Bunker (Fuel):
  Lists fuel tank capacities and types, offering insights into fuel requirements, sailing range, and environmental compliance.

This detailed dataset supports decision-making across maritime industries, enabling efficient fleet management, route planning, and compliance monitoring.

Questions about where spatial data fits in your research?

Join Stanford Geospatial Center Slack!

stanford-geospatial.slack.com

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