Release v4.4.x
2024-04-04
Version description of the v4.4.0 release of SlideRule Earth.
New Features
v4.4.0 - Resources are queried from servers instead of client. If a processing request does not include a list of
resourcesto process, the server processing the request will query CMR and populate theresourcesparameter. In addition, any sampling requests that need a populatedcatalogparameter will also be queried on the server side and have that parameter populated.v4.4.0 - 389 and 383 - updates to demo plotting and added support for downloading results
v4.4.0 - Raster sampling support when the output is an Arrow generated format (Geo/Parquet, CSV, Feather).
v4.4.0 - Added Feather output support
v4.4.0 - 43d536b - Request parameters and record information added to metadata of generated Parquet files.
v4.4.0 - 763e553 - max confidence in the signal_conf variable can be selected when filtering ATL03 photons based on confidence level
v4.4.0 - 392 - GEBCO raster sampling support added
v4.4.0 - 9d71b6e - Meta global canopy height raster support added
Issues Resolved
v4.4.0 - Logs returned to users are now consistently implemented as exception records through the
alertfunction.
Development Updates
v4.4.0 - GDAL headers removed from exported package headers
v4.4.0 - GDAL log messages are defaulted off
Getting This Release
https://github.com/SlideRuleEarth/sliderule/releases/tag/v4.4.0
Benchmarks
atl06_aoi
output: 657468 x 16 elements
total: 30.217794 secs
gdf2poly: 0.000361 secs
toregion: 0.101621 secs
__parse_native: 22.553648 secs
todataframe: 0.406877 secs
merge: 0.000003 secs
flatten: 2.973291 secs
atl06p: 29.944871 secs
atl06_ancillary
output: 1180 x 17 elements
total: 3.515006 secs
gdf2poly: 0.000361 secs
toregion: 0.101621 secs
__parse_native: 0.706065 secs
todataframe: 0.005833 secs
merge: 0.014554 secs
flatten: 0.032062 secs
atl06p: 3.311915 secs
atl03_ancillary
output: 1180 x 17 elements
total: 2.783418 secs
gdf2poly: 0.000361 secs
toregion: 0.101621 secs
__parse_native: 0.164518 secs
todataframe: 0.005624 secs
merge: 0.013533 secs
flatten: 0.030675 secs
atl06p: 2.782245 secs
atl06_parquet
output: 1577 x 17 elements
total: 2.658988 secs
gdf2poly: 0.000361 secs
toregion: 0.101621 secs
__parse_native: 0.209843 secs
todataframe: 0.005624 secs
merge: 0.013533 secs
flatten: 0.043108 secs
atl06p: 2.658509 secs
atl03_parquet
output: 22833 x 22 elements
total: 1.645541 secs
gdf2poly: 0.000361 secs
toregion: 0.101621 secs
__parse_native: 0.010994 secs
todataframe: 0.005624 secs
merge: 0.013533 secs
flatten: 0.043108 secs
atl06p: 2.658509 secs
atl03sp: 1.618785 secs
atl06_sample_landsat
output: 914 x 20 elements
total: 6.421875 secs
gdf2poly: 0.000361 secs
toregion: 0.101621 secs
__parse_native: 0.371876 secs
todataframe: 0.005620 secs
merge: 0.011310 secs
flatten: 0.030409 secs
atl06p: 4.646134 secs
atl03sp: 1.618785 secs
atl06_sample_zonal_arcticdem
output: 1651 x 27 elements
total: 7.677317 secs
gdf2poly: 0.000307 secs
toregion: 0.005774 secs
__parse_native: 0.325183 secs
todataframe: 0.006104 secs
merge: 0.020617 secs
flatten: 0.046536 secs
atl06p: 7.669182 secs
atl03sp: 1.618785 secs
atl06_sample_nn_arcticdem
output: 1651 x 20 elements
total: 5.417307 secs
gdf2poly: 0.000285 secs
toregion: 0.005677 secs
__parse_native: 0.094793 secs
todataframe: 0.006071 secs
merge: 0.019175 secs
flatten: 0.039384 secs
atl06p: 5.409957 secs
atl03sp: 1.618785 secs
atl06_msample_nn_arcticdem
output: 1666932 x 20 elements
total: 134.748328 secs
gdf2poly: 0.000317 secs
toregion: 0.005744 secs
__parse_native: 96.033735 secs
todataframe: 1.105081 secs
merge: 15.617355 secs
flatten: 30.201550 secs
atl06p: 133.563389 secs
atl03sp: 1.618785 secs
atl06_no_sample_arcticdem
output: 1666932 x 16 elements
total: 71.098669 secs
gdf2poly: 0.000309 secs
toregion: 0.006578 secs
__parse_native: 57.098009 secs
todataframe: 0.983960 secs
merge: 0.000003 secs
flatten: 7.547646 secs
atl06p: 69.954445 secs
atl03sp: 1.618785 secs
atl03_rasterized_subset
output: 51968 x 22 elements
total: 3.760473 secs
gdf2poly: 0.000309 secs
toregion: 0.006578 secs
__parse_native: 1.690030 secs
todataframe: 0.035699 secs
merge: 0.000003 secs
flatten: 0.324365 secs
atl06p: 69.954445 secs
atl03sp: 3.284419 secs
atl03_polygon_subset
output: 50799 x 22 elements
total: 2.734295 secs
gdf2poly: 0.000309 secs
toregion: 0.006578 secs
__parse_native: 1.232244 secs
todataframe: 0.035859 secs
merge: 0.000003 secs
flatten: 0.320961 secs
atl06p: 69.954445 secs
atl03sp: 2.711521 secs