Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-12-15 12:04:58	ga_s2am_ard_3-2-1_50JMR_2021-12-15_final
2021-12-15 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-12-15_final
2021-12-15 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-12-15_final
2021-12-15 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-12-15_final
2021-12-15 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-12-15_final
2021-12-15 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-12-15_final
2021-12-15 12:06:14	ga_s2am_ard_3-2-1_50JLL_2021-12-15_final
2021-12-16 09:51:12	ga_s2am_ard_3-2-1_55LHC_2021-12-16_final.stac-item
2021-12-16 09:51:25	ga_s2am_ard_3-2-1_56KKG_2021-12-16_final.stac-item
2021-12-16 09:51:30	ga_s2am_ard_3-2-1_55KGB_2021-12-16_final
2021-12-16 09:51:33	ga_s2am_ard_3-2-1_55KFB_2021-12-16_final
2021-12-16 09:52:13	ga_s2am_ard_3-2-1_55KGU_2021-12-16_final
2021-12-16 09:52:17	ga_s2am_ard_3-2-1_55KFU_2021-12-16_final
2021-12-16 09:52:20	ga_s2am_ard_3-2-1_55KEU_2021-12-16_final
2021-12-16 09:52:42	ga_s2am_ard_3-2-1_55KGS_2021-12-16_final
2021-12-16 09:53:04	ga_s2am_ard_3-2-1_55KER_2021-12-16_final
2021-12-16 09:53:07	ga_s2am_ard_3-2-1_55KDR_2021-12-16_final
2021-12-16 09:53:25	ga_s2am_ard_3-2-1_55KGP_2021-12-16_final
2021-12-16 09:53:33	ga_s2am_ard_3-2-1_55KEP_2021-12-16_final
2021-12-16 09:53:36	ga_s2am_ard_3-2-1_55KDP_2021-12-16_final
2021-12-16 09:53:38	ga_s2am_ard_3-2-1_55JGN_2021-12-16_final
2021-12-16 09:53:47	ga_s2am_ard_3-2-1_55JEN_2021-12-16_final
2021-12-16 09:53:47	ga_s2am_ard_3-2-1_55JGM_2021-12-16_final
2021-12-16 09:53:51	ga_s2am_ard_3-2-1_55JDN_2021-12-16_final
2021-12-16 09:53:58	ga_s2am_ard_3-2-1_55JCN_2021-12-16_final
2021-12-16 09:53:58	ga_s2am_ard_3-2-1_55JFM_2021-12-16_final
2021-12-16 09:54:16	ga_s2am_ard_3-2-1_55JEL_2021-12-16_final
2021-12-16 09:54:20	ga_s2am_ard_3-2-1_55JDL_2021-12-16_final
2021-12-16 09:54:27	ga_s2am_ard_3-2-1_55JFK_2021-12-16_final
2021-12-16 09:54:38	ga_s2am_ard_3-2-1_55JCK_2021-12-16_final
2021-12-16 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2021-12-16_final
2021-12-16 09:54:49	ga_s2am_ard_3-2-1_55JDJ_2021-12-16_final
2021-12-16 09:55:14	ga_s2am_ard_3-2-1_55JEG_2021-12-16_final
2021-12-16 09:55:18	ga_s2am_ard_3-2-1_55JDG_2021-12-16_final
2021-12-16 09:55:21	ga_s2am_ard_3-2-1_55JCG_2021-12-16_final
2021-12-16 09:55:24	ga_s2am_ard_3-2-1_55JBG_2021-12-16_final
2021-12-16 09:55:29	ga_s2am_ard_3-2-1_55JEF_2021-12-16_final
2021-12-16 09:55:32	ga_s2am_ard_3-2-1_55JDF_2021-12-16_final
2021-12-16 09:55:39	ga_s2am_ard_3-2-1_55JBF_2021-12-16_final
2021-12-16 09:55:43	ga_s2am_ard_3-2-1_55HEE_2021-12-16_final
2021-12-16 09:55:47	ga_s2am_ard_3-2-1_55HDE_2021-12-16_final
2021-12-16 09:55:50	ga_s2am_ard_3-2-1_55HCE_2021-12-16_final
2021-12-16 09:55:54	ga_s2am_ard_3-2-1_55HBE_2021-12-16_final
2021-12-16 09:56:05	ga_s2am_ard_3-2-1_55HCD_2021-12-16_final
2021-12-16 09:56:08	ga_s2am_ard_3-2-1_55HBD_2021-12-16_final
2021-12-16 09:56:10	ga_s2am_ard_3-2-1_54HYJ_2021-12-16_final
2021-12-16 09:56:49	ga_s2am_ard_3-2-1_55HCA_2021-12-16_final
2021-12-16 09:56:52	ga_s2am_ard_3-2-1_55HBA_2021-12-16_final
2021-12-16 09:56:53	ga_s2am_ard_3-2-1_54HYF_2021-12-16_final
2021-12-16 09:56:57	ga_s2am_ard_3-2-1_54HXF_2021-12-16_final
2021-12-16 09:56:58	ga_s2am_ard_3-2-1_55HDV_2021-12-16_final
2021-12-16 09:57:03	ga_s2am_ard_3-2-1_55HCV_2021-12-16_final
2021-12-16 09:57:06	ga_s2am_ard_3-2-1_55HBV_2021-12-16_final
2021-12-16 09:57:08	ga_s2am_ard_3-2-1_54HYE_2021-12-16_final
2021-12-16 09:57:11	ga_s2am_ard_3-2-1_54HXE_2021-12-16_final
2021-12-16 09:57:47	ga_s2am_ard_3-2-1_55HCS_2021-12-16_final
2021-12-16 09:57:50	ga_s2am_ard_3-2-1_55HBS_2021-12-16_final
2021-12-16 09:57:51	ga_s2am_ard_3-2-1_54HYB_2021-12-16_final
2021-12-16 11:31:29	ga_s2am_ard_3-2-1_52LBJ_2021-12-16_final
2021-12-16 11:31:31	ga_s2am_ard_3-2-1_51LWE_2021-12-16_final
2021-12-16 11:31:35	ga_s2am_ard_3-2-1_51LZD_2021-12-16_final
2021-12-16 11:31:39	ga_s2am_ard_3-2-1_51LYD_2021-12-16_final
2021-12-16 11:31:48	ga_s2am_ard_3-2-1_51LZC_2021-12-16_final
2021-12-16 11:32:00	ga_s2am_ard_3-2-1_51LWC_2021-12-16_final
2021-12-16 11:32:07	ga_s2am_ard_3-2-1_51KYB_2021-12-16_final
2021-12-16 11:32:15	ga_s2am_ard_3-2-1_51KWB_2021-12-16_final
2021-12-16 11:32:19	ga_s2am_ard_3-2-1_51KVB_2021-12-16_final
2021-12-16 11:32:26	ga_s2am_ard_3-2-1_51KXA_2021-12-16_final
2021-12-16 11:32:29	ga_s2am_ard_3-2-1_51KWA_2021-12-16_final
2021-12-16 11:32:32	ga_s2am_ard_3-2-1_51KVA_2021-12-16_final
2021-12-16 11:32:50	ga_s2am_ard_3-2-1_51KYU_2021-12-16_final
2021-12-16 11:33:02	ga_s2am_ard_3-2-1_51KYT_2021-12-16_final
2021-12-16 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-12-16_final
2021-12-16 11:33:16	ga_s2am_ard_3-2-1_51KVT_2021-12-16_final
2021-12-16 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-12-16_final
2021-12-16 11:34:14	ga_s2am_ard_3-2-1_51KVP_2021-12-16_final
2021-12-16 11:34:25	ga_s2am_ard_3-2-1_51JWN_2021-12-16_final
2021-12-16 11:34:29	ga_s2am_ard_3-2-1_51JVN_2021-12-16_final
2021-12-16 11:34:32	ga_s2am_ard_3-2-1_51JUN_2021-12-16_final
2021-12-16 11:34:36	ga_s2am_ard_3-2-1_51JTN_2021-12-16_final
2021-12-16 11:34:37	ga_s2am_ard_3-2-1_50JRT_2021-12-16_final
2021-12-16 11:34:54	ga_s2am_ard_3-2-1_51JWL_2021-12-16_final
2021-12-16 11:34:58	ga_s2am_ard_3-2-1_51JVL_2021-12-16_final
2021-12-16 11:35:16	ga_s2am_ard_3-2-1_51JUK_2021-12-16_final
2021-12-16 11:35:19	ga_s2am_ard_3-2-1_51JWJ_2021-12-16_final
2021-12-16 11:35:26	ga_s2am_ard_3-2-1_51JVJ_2021-12-16_final
2021-12-16 11:35:56	ga_s2am_ard_3-2-1_51JVG_2021-12-16_final
2021-12-16 11:35:59	ga_s2am_ard_3-2-1_51JUG_2021-12-16_final
2021-12-16 11:36:02	ga_s2am_ard_3-2-1_51JTG_2021-12-16_final
2021-12-16 11:36:05	ga_s2am_ard_3-2-1_50JQM_2021-12-16_final
2021-12-16 11:36:10	ga_s2am_ard_3-2-1_51JVF_2021-12-16_final
2021-12-16 11:36:17	ga_s2am_ard_3-2-1_51JTF_2021-12-16_final
2021-12-16 11:36:23	ga_s2am_ard_3-2-1_51HVE_2021-12-16_final
2021-12-16 11:36:26	ga_s2am_ard_3-2-1_50JPL_2021-12-16_final
2021-12-16 11:36:28	ga_s2am_ard_3-2-1_51HUE_2021-12-16_final
2021-12-16 11:36:32	ga_s2am_ard_3-2-1_51HTE_2021-12-16_final
2021-12-16 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-12-16_final
2021-12-16 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-12-16_final
2021-12-16 11:36:46	ga_s2am_ard_3-2-1_51HTD_2021-12-16_final
2021-12-16 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2021-12-16_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years