SkySatScene

The SkySat ortho scene product is orthorectified and designed for a wide variety of applications that require imagery with an accurate geolocation and cartographic projection. It has been processed to remove distortions caused by terrain and can be used for cartographic purposes.

Products Overview¶

The SkySat Ortho Scene product includes Visual, Analytic, Panchromatic, and Pansharpened Multispectral imagery that is uncalibrated and in a raw digital number format. The Ortho Scene product is sensor and geometrically corrected, and is projected to a cartographic map projection. The geometric correction uses fine Digital Elevation Models (DEMs) with a post spacing of between 30 and 90 meters. Ground Control Points (GCPs) are used in the creation of every image and the accuracy of the product will vary from region to region based on available GCPs.

Item Properties¶

Property Name	Description	Type
_permissions	Assets available for the item which the authenticated user has permission to download.	array
geometry	Geographic boundary of the item's footprint, formatted as a GeoJSON polygon.	json
id	Globally unique item identifier.	string
acquired	Timestamp that the item was captured.	datetime
camera_id	Camera used for imaging.	string
clear_confidence_percent	percentage value: per-pixel algorithmic confidence in 'clear' classification	int [0-100]
clear_percent	Percent of clear values in dataset. Clear values represents scene content areas (non-blackfilled) that are deemed to be not impacted by cloud, haze, shadow and/or snow.	int [0-100]
cloud_cover	Average percentage of cloud coverage.	double
cloud_percent	Percent of cloud values in dataset. Cloud values represent scene content areas (non-blackfilled) that contain opaque clouds which prevent reliable interpretation of the land cover content.	int [0-100]
ground_control	Positional accuracy of the item. If the item has uncertain positional accuracy, this value will be false.	boolean
gsd	Ground sample distance - the distance between pixel centers as measured on the ground in meters.	double
heavy_haze_percent	Percent of heavy haze values in dataset. Heavy haze values represent scene content areas (non-blackfilled) that contain thin low altitude clouds, higher altitude cirrus clouds, soot and dust which allow fair recognition of land cover features, but not having reliable interpretation of the radiometry or surface reflectance.	int [0-100]
item_type	Name of the item type.	string
light_haze_percent	Percent of light haze values in dataset. Light haze values represent scene content areas (non-blackfilled) that contain thin low altitude clouds, higher altitude cirrus clouds, soot and dust which allow reliable recognition of land cover features, and have up to +/-10% uncertainty on commonly used indices (EVI and NDWI).	int [0-100]
pixel_resolution	Pixel resolution of the imagery in meters.	double
provider	Name of the item provider (e.g. “planetscope”, ”rapideye”).	string
published	Timestamp that the item was published to the Planet API.	datetime
publishing_stage	Stage of publishing for an item. SkySatCollect items will be first published and remain in "finalized" stage.	string
quality_category	Metric for image quality. To qualify for “standard” image quality an image must meet a variety of quality standards, for example: sun altitude greater than or equal to 10 degrees, off nadir view angle less than 20 degrees, and saturated pixels fewer than 20%. If the image does not meet these criteria it is considered “test” quality.	string
satellite_azimuth	Angle from true north to the satellite vector at the time of imaging, averaged across the full SkySatCollect, projected on the horizontal plane in degrees (0 - 360).	double
satellite_id	Globally unique satellite identifier.	string
shadow_percent	Percent of shadow values in dataset. Shadow values represent scene content areas (non-blackfilled) that are not fully exposed to the solar illumination as a result of atmospheric transmission losses due to cloud, haze, soot and dust, and therefore do not allow for reliable interpretation of the radiometry or surface reflectance.	int [0-100]
snow_ice_percent	Percent of snow and ice values in dataset. Snow_ice values represent scene content areas (non-blackfilled) that are hidden below snow and/or ice.	int [0-100]
strip_id	The unique identifier of the image stripe that the item came from.	string
sun_azimuth	The angle of the sun, as seen by the observer, measured clockwise from the north (0 - 360).	double
sun_elevation	The angle of the sun above the horizon (0 - 90).	double
updated	Timestamp that the item record was last updated.	datetime
view_angle	The satellite's across-track, off-nadir viewing angle. Positive numbers denote east, negative numbers denote west (-25 - +25).	double
visible_confidence_percent	Visible values represent the fraction of the scene content (excluding the portion of the image which contains blackfill) which is comprised of clear, light haze, shadow, snow/ice categories, and is given as a percentage ranging from zero to one hundred.	int [0-100]
visible_percent	Average of confidence percent for clear_percent, light_haze_percent, shadow_percent and snow_ice_percent	int [0-100]

Available Asset Types¶

Asset Name	Description
basic_analytic	Top of atmosphere radiance (at sensor) and sensor corrected GeoTiff product. Scene based framing and not projected to a cartographic projection.
basic_analytic_dn	Basic sensor corrected scene GeoTiff product. Scene based framing and not projected to a cartographic projection.
basic_analytic_dn_rpc	Rational Polynomial Coefficients text file used to orthorectify basic_analytic_dn asset.
basic_analytic_rpc	Rational Polynomial Coefficients text file used to orthorectify the basic_analytic asset.
basic_analytic_udm	Usable Data Mask - Usable data bit mask in GeoTIFF format for basic analytic scene assets.
basic_analytic_udm2	Usable Data Mask 2.0. Read more about this new asset here.
basic_l1a_panchromatic_dn	Basic, pre-super resolution, panchromatic GeoTiff product.
basic_l1a_panchromatic_dn_rpc	Rational Polynomial Coefficients text file used to orthorectify the basic_l1a_panchromatic asset.
basic_panchromatic	Unorthorectified Radiometrically-calibrated panchromatic image stored as 16-bit scaled radiance
basic_panchromatic_dn	Basic sensor corrected panchromatic band GeoTiff. Scene based framing and not projected to a cartographic projection.
basic_panchromatic_dn_rpc	Rational Polynomial Coefficients text file used to orthorectify basic_panchromatic_dn asset.
basic_panchromatic_rpc	Rational polynomial coefficient for unorthorectified panchromatic image stored as 12-bit digital numbers
basic_panchromatic_udm2	Usable Data Mask 2.0. Read more about this new asset here.
ortho_analytic	Radiometrically calibrated GeoTiff suitable for analytic applications
ortho_analytic_sr	Orthorectified product, radiometrically calibrated and atmospherically corrected to surface reflectance
ortho_analytic_dn	Non-radiometrically calibrated GeoTiff suitable for analytic applications.
ortho_analytic_udm	Unusable Data Mask - Unusable data bit mask in GeoTIFF format for the analytic scene assets.
ortho_analytic_udm2	Usable Data Mask 2.0. Read more about this new asset here.
ortho_panchromatic	Orthorectified Radiometrically-calibrated panchromatic image stored as 16-bit scaled radiance
ortho_panchromatic_dn	Basic sensor corrected panchromatic band GeoTiff. Scene based framing and not projected to a cartographic projection.
ortho_panchromatic_udm	Unusable Data Mask - Unusable data bit mask in GeoTIFF format for the pansharpened DN scene assets.
ortho_panchromatic_udm2	Usable Data Mask 2.0. Read more about this new asset here.
ortho_pansharpened	Color corrected and pansharpened GeoTiff for visual applications.
ortho_pansharpened_udm	Unusable Data Mask - Unusable data bit mask in GeoTIFF format for the pansharpened scene assets.
ortho_pansharpened_udm2	Usable Data Mask 2.0. Read more about this new asset here.
ortho_visual	Color corrected GeoTiff for visual applications.

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