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3 changes: 3 additions & 0 deletions .github/styles/config/vocabularies/docs/accept.txt
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Expand Up @@ -52,6 +52,9 @@ coroutines
(?i)LLMs
(?i)Imager
(?i)pushbroom
(?i)Satellogic
(?i)Wyvern
(?i)Hyperspectral
rollout
(?i)automations
(?i)protobuf
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Expand Up @@ -76,7 +76,7 @@ Create a dataset.
A geometry field
</ParamField>

Note that the type can be a list of the types above, indicating that the field is an array, e.g. `list[str]`.
Note that the type can also be a list of one of the types, indicating that the field is an array, e.g. `list[str]`.

## Field options

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2 changes: 1 addition & 1 deletion datasets/concepts/datasets.mdx
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Expand Up @@ -204,7 +204,7 @@ dataset, err := client.Datasets.Create(ctx,
</CodeGroup>

This code will create a new catalog with 7 fields in total.
4 of those fields are auto-generated by choosing the spatio-temporal dataset type, and 3 (`granule_name`, `cloud_cover`, `proj_shape`) are additional fields that are defined.
4 of those fields are auto-generated by choosing the spatio-temporal dataset type, and 3 (`granule_name`, `cloud_cover`, `proj_shape`) are custom fields that are defined.

## Accessing a dataset

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62 changes: 56 additions & 6 deletions datasets/open-data.mdx
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Expand Up @@ -65,17 +65,47 @@ Tilebox currently supports the following datasets from the Copernicus Data Space
atmospheric constituents related to monitoring and forecasting air quality,
the ozone layer, and climate change.
</Accordion>
<Accordion title="Landsat 8">
Landsat-8 is part of the long-running Landsat programme led by USGS and NASA and
carries the Operational Land Imager (OLI) and the Thermal Infrared Sensor
(TIRS). The Operational Land Imager (OLI), on board Landsat-8 measures in
<Accordion title="Sentinel 6">
The Sentinel-6 mission represents a groundbreaking advancement in Earth observation,
providing invaluable insights for scientists, environmentalists, and stakeholders worldwide.
At the heart of this mission is the cutting-edge radar altimeter instrument, designed to
measure sea surface height and monitor key oceanographic parameters with unparalleled accuracy.
The Sentinel-6 satellite collects precise data by employing advanced radar technology,
allowing for a comprehensive understanding of sea level variations, ocean currents, and climate patterns.
</Accordion>
</AccordionGroup>

### United States Geological Survey (USGS)

The [United States Geological Survey (USGS)](https://www.usgs.gov/) provides a wide range of Earth observation data, including [Landsat](https://science.nasa.gov/mission/landsat/) data, which are also available as open data through Tilebox.

<Frame caption="Landsat missions © USGS">
<img src="https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/full_width/public/media/images/5019-Landsat-timeline-L7_decomissioned_2025%201.png?itok=meijDrCj" alt="USGS Landsat timeline" />
</Frame>

<AccordionGroup>
<Accordion title="Landsat 1-3">
Landsat-1/2/3 carry the Multispectral Scanner (MSS) instrument, which measures in the VIS and NIR portions of the spectrum. Its images have 79 m spatial resolution.
</Accordion>
<Accordion title="Landsat 4-5">
Landsat-4/5 carry both the Multispectral Scanner (MSS) which measures in the VIS, NIR and SWIR
portions of the spectrum in a 30m spatial resolution, and the Thematic Mapper (TM) instrument, which measures in the thermal-infrared band in a 120 m spatial resolution.
</Accordion>
<Accordion title="Landsat 7">
Landsat-7 carries the Enhanced Thematic Mapper Plus (ETM+) instrument, which measures in the VIS, NIR and SWIR and thermal-infrared
portions of the spectrum. Its images have 15-60 m spatial resolution.
</Accordion>
<Accordion title="Landsat 8-9">
Landsat-8/9 are part of the long-running Landsat programme led by USGS and NASA and
carry the Operational Land Imager (OLI) and the Thermal Infrared Sensor
(TIRS). The Operational Land Imager (OLI), on board measures in
the VIS, NIR and SWIR portions of the spectrum. Its images have 15 m
panchromatic and 30 m multi-spectral spatial resolutions along a 185 km wide
swath, covering wide areas of the Earth's landscape while providing
high enough resolution to distinguish features like urban centres, farms,
forests and other land uses. The entire Earth falls within view once every
16 days due to Landsat-8's near-polar orbit. The Thermal Infra-Red Sensor
instrument, on board Landsat-8, is a thermal imager operating in pushbroom
16 days due to Landsat-8/9's near-polar orbit. The Thermal Infra-Red Sensor (TIRS)
instrument on board is a thermal imager operating in pushbroom
mode with two Infra-Red channels: 10.8 µm and 12 µm with 100 m spatial
resolution.
</Accordion>
Expand Down Expand Up @@ -104,3 +134,23 @@ Tilebox currently supports the following datasets from Umbra Space:
Time-series SAR data provided as Opendata by Umbra Space.
</Accordion>
</AccordionGroup>

### Satellogic

[Satellogic](https://satellogic.com/) offers the EarthView dataset, which includes high-resolution satellite images captured over all continents. The dataset is available through Tilebox as a spatio-temporal dataset.

<AccordionGroup>
<Accordion title="Satellogic EarthView">
High resolution satellite images provided as Opendata by Satellogic. The dataset provides Top-of-Atmosphere (TOA) reflectance values across four spectral bands (Red, Green, Blue, Near-Infrared) at a Ground Sample Distance (GSD) of 1 meter, accompanied by comprehensive metadata such as off-nadir angles, sun elevation, and other pertinent details. Users should note that due to an artifact in region delineation, a small number of regions present overlaps.
</Accordion>
</AccordionGroup>

### Wyvern

[Wyvern](https://wyvern.space/) offers a constellation of satellites providing high-resolution, hyperspectral imagery. They offer products from their [Dragonette constellation](https://wyvern.space/our-products/generation-one-hyperspectral-satellites/) as open data, which is also available through Tilebox as a spatio-temporal dataset.

<AccordionGroup>
<Accordion title="Wyvern Dragonette">
High resolution, hyperspectral imagery provided as Opendata by Wyvern.
</Accordion>
</AccordionGroup>