Datasets#

This section contains Jupyter Notebooks that highlight aspects of supported datasets. Below we provide a short table summarizing datasets that are searchable with coincident. Note that many of these datasets (or subsets) are available from different providers, the provider column identifies the source of the data used by this library.

Dataset	Alias	Type	Start	End	Extent	Source
TanDEM-X	tdx	SAR	2007-07-01		global	NASA CSDAP
Vantor Stereo	vantor	VHR	2007-07-01		global	Vantor
Coperincus DEM	cop30	SAR	2021-04-22		global	Microsoft
ICESat-2 ATL06	atl06	Altimeter	2018-10-13		global	NASA
GEDI L2A	gedi	Altimeter	2019-04-04	2023-03-17	mid-latitudes	NASA
3DEP LiDAR	3dep	LiDAR	2000-12-01		CONUS	USGS
ESA WorldCover	worldcover	LULC	2020-01-01	2021-12-31	global	Microsoft
NASA G-LiHT	gliht	LiDAR	2011-07-28	2020-03-12	US Territories	NASA G-LiHT
NOAA Coastal LiDAR	noaa	LiDAR	1996-10-09		US Territories	NOAA
NCALM LiDAR	ncalm	LiDAR	2003-05-15		US Territories	NCALM
NEON LiDAR	neon	LiDAR	2013-06-01		US Territories	NEON
ABoVE LVIS L2^*	ablvis2_1	LiDAR	2017-06-29	2017-07-17	AK and Canada	ABoVE LVIS L2
AfriSAR LVIS L2^*	aflvis2_1	LiDAR	2016-02-20	2016-03-08	Gabon	AfriSAR LVIS L2

^* These datasets only have search available, not download or in-memory read supported.

Integrating additional datasets#

If you’d like to suggest an additional dataset that would be useful, feel free to open an issue.