diff --git a/.github/styles/config/vocabularies/docs/accept.txt b/.github/styles/config/vocabularies/docs/accept.txt index 7404376..1289484 100644 --- a/.github/styles/config/vocabularies/docs/accept.txt +++ b/.github/styles/config/vocabularies/docs/accept.txt @@ -52,6 +52,9 @@ coroutines (?i)LLMs (?i)Imager (?i)pushbroom +(?i)Satellogic +(?i)Wyvern +(?i)Hyperspectral rollout (?i)automations (?i)protobuf diff --git a/api-reference/python/tilebox.datasets/Client.create_dataset.mdx b/api-reference/python/tilebox.datasets/Client.create_dataset.mdx index f88d52e..94f7b2d 100644 --- a/api-reference/python/tilebox.datasets/Client.create_dataset.mdx +++ b/api-reference/python/tilebox.datasets/Client.create_dataset.mdx @@ -76,7 +76,7 @@ Create a dataset. A geometry field -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 diff --git a/datasets/concepts/datasets.mdx b/datasets/concepts/datasets.mdx index d379516..cbd9b0f 100644 --- a/datasets/concepts/datasets.mdx +++ b/datasets/concepts/datasets.mdx @@ -204,7 +204,7 @@ dataset, err := client.Datasets.Create(ctx, 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 diff --git a/datasets/open-data.mdx b/datasets/open-data.mdx index 86a7125..09ba53e 100644 --- a/datasets/open-data.mdx +++ b/datasets/open-data.mdx @@ -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. - - 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 + + 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. + + + +### 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. + + + USGS Landsat timeline + + + + + 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. + + + 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. + + + 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. + + + 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. @@ -104,3 +134,23 @@ Tilebox currently supports the following datasets from Umbra Space: Time-series SAR data provided as Opendata by Umbra Space. + +### 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. + + + + 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. + + + +### 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. + + + + High resolution, hyperspectral imagery provided as Opendata by Wyvern. + +