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El Centro Sample Dataset Release

· One min read
Ellie Jones
ML & Data Science Lead

El Centro, USA

El Centro, USA

We are excited to announce the release of our second sample dataset tailed to agriculture use cases!

El Centro, California is near the USA/Mexico border, and is surrounded by irrigated fields. It is one of the most productive farming regions in California.

To access this sample dataset, please reach out to us at insert_email_here@wyvern.space!

Hyperspectral Data v1.1 Release

· 2 min read
Ellie Jones
ML & Data Science Lead

Lithium Mines, Atacama Desert

Lithium Mines, Atacama Desert

We are excited to announce version 1.1 of our Hyperspectral Data Products!

We have implemented significant improvements to our processing pipeline, resulting in improved image quality and consistent pixel size.

Release Notes

  • Updated all folder and file naming convention to align with official Wyvern Product ID defined as:
    • wyvern_<platform_name>_<capture_date_time>_<collection_id>_<auxiliary_file_type>.<file_extension>, where
    1. <platform_name> is one of the satellites in the Dragonette constellation
    2. <capture_date_time> is acquisition time in UTC format [YYYY][MM][DD]T[hh][mm][ss]
    3. <collection_id> is the first 8 characters of the image GUID
    4. <auxiliary_file_type> is auxiliary delivery filessuch as preview, thumbnail, data_mask
    5. <file_extension> is common format file extensions such as .tiff or .json
  • Introduced official product versioning and incremented up to v1.1
  • Improvements to interpolation during geolocation processing steps.
  • The pixel cell size for delivered imagery data products has been updated to preserve as much of the ground sample distance (GSD) and inherent resolving capability of the imaging system on the Dragonette satellites as possible. Since the L1B imagery data product is delivered in Geographic WGS84 (EPSG 4326) coordinate system the spatial X & Y cell size of any given image pixel is defined in angular Longitude & Latitude degree units. In order to preserve the inherent GSD the pixel cell size for any given imagery data product is set as the Longitude & Latitude angular degree equivalents of X=5.0 m x Y=5.0 m spatial size for the latitude location of the center of the image scene. Consequently, the pixel cell size in Longitude & Latitude degree units will be non-square and vary based on the latitude location of any given imagery data product (e.g., at 40°N latitude X=5.0 m x Y=5.0 m in cartesian map distance translates to Lon=0.0000586° x Lat=0.0000450° in geographic angular degrees).
  • Updated the STAC JSON metadata:
    • Added the processing version.
    • Changed the common name for Band_799nm to nir.
  • Improved radiance values for all bands, particularly bands 503 nm, 510 nm, 519 nm, 535 nm, 549 nm.
    • Improved bias subtraction and flat fielding.
    • Improved the overall radiometry for band 510 nm.
    • Minor vertical image destriping corrections.

Datasets

Along with the release of our v1.1 data product, our sample datasets have been updated accordingly.

Available Datasets

  • Big Spring, Texas
  • El Centro, California

Hyperspectral Data v1.0 Release

· One min read
Ellie Jones
ML & Data Science Lead

Big Spring, Texas

Big Spring, Texas

We are very pleased to be announcing version 1.0 of our Hyperspectral Data Products!

This is the inaugural release of our Hyperspectral Data Products, and we can't be more excited to share it with you. Please refer to our Data Product Guide for more details on the current version of our data products.

Release Notes

No release notes

Datasets

Along with the release of our v1.0 data product, our sample datasets have been updated accordingly.

Available Datasets

  • Big Spring, Texas