API reference¶

# SpaceLiDAR._download — Method.

This is a method because it will segfault if precompiled.

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# SpaceLiDAR.angle — Function.

Rough approximation of the track angle on a Euclidian lon/lat plot.

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# SpaceLiDAR.angle! — Method.

Calculatitudee angle of direction in degrees where North is 0° for a DataFrame.

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# SpaceLiDAR.angle — Method.

angle(longitude::Vector{Number}, latitude::Vector{Number})

Calculate the angle of direction from previous points in degrees where North is 0°. Points are given as longitude and latitude pairs in their own vector. The angle for the first point is undefined and set to the second.

Returns a Vector{Number} of angles

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# SpaceLiDAR.classify — Function.

Retrieve all points as classified as ground in ATL08.

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# SpaceLiDAR.download_curl — Method.

Hacked version of Base.download which adds cookies and (optional) netrc parsing.

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# SpaceLiDAR.gedi_info — Method.

Derive info based on file id.

The id is built up as follows, see section 2.4 in the user guide GEDI02A2019110014613O01991T049050200101.h5 or newer (V2) GEDI02A2019242104318O0404601T023430200302V002.h5

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# SpaceLiDAR.granule_from_file — Method.

Generate granule from .h5 file.

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# SpaceLiDAR.granules_from_folder — Method.

Generate granules from folder filled with .h5 files.

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# SpaceLiDAR.in_bbox — Method.

Filter with bbox.

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# SpaceLiDAR.info — Method.

Derive info based on file id.

The id is built up as follows, see 1.2.5 in the user guide ATL03[yyyymmdd][hhmmss][ttttccss][vvvrr].h5

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# SpaceLiDAR.info — Method.

Derive info based on file id.

The id is built up as follows, see 1.2.5 in the user guide ATL03[yyyymmdd][hhmmss][ttttccss][vvvrr].h5

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# SpaceLiDAR.netrc! — Method.

Writes/updates netrc file for ICESat-2 and GEDI downloads.

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# SpaceLiDAR.points — Method.

points(g::ICESat2_Granule{:ATL06})

Retrieve the points for a given ATL06 (Land Ice) granule as a list of namedtuples, one for each beam. The names of the tuples are based on the following fields:

Column	Field	Description
`longitude`	`land_ice_segments/longitude`	Longitude of segment center, WGS84, East=+
`latitude`	`land_ice_segments/latitude`	Latitude of segment center, WGS84, North=+
`height`	`land_ice_segments/h_li`	Standard land-ice segment height
`height_error`	`land_ice_segments/sigma_geo_h`	Total vertical geolocation error
`datetime`	`land_ice_segments/delta_time`	+ `ancillary_data/atlas_sdp_gps_epoch` + `gps_offset`
`quality`	`land_ice_segments/atl06_quality_summary`	Boolean flag indicating the best-quality subset
`track`	`gt1l` - `gt3r` groups	-
`power`	`-`	"strong" or "weak" laser power
`detector_id`	`atlas_spot_number attribute`	-
`height_reference`	`land_ice_segments/dem/dem_h`	Height of the (best available) DEM

You can combine the output in a DataFrame with reduce(vcat, DataFrame.(points(g))).

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# SpaceLiDAR.s3! — Function.

Change default download locatio n to a S3 bucket.

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# SpaceLiDAR.shift — Method.

shift(longitude, latitude, angle, distance)

Shift longitude and latitude with distance m in direction angle, where North is 0°. Returns a tuple of the shifted coordinates: (longitude, latitude)

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# SpaceLiDAR.splitline — Function.

Split a linestring if the next point is further than distance. Not using Haversine here, as we want to split on meridians and such.

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# SpaceLiDAR.track_power — Method.

Return whether track is a strong or weak beam. See Section 7.5 The Spacecraft Orientation Parameter of the ATL03 ATDB.

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