Search ga_s2am_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-06-28 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-06-28_final.stac-item
2021-06-28 12:04:44	ga_s2am_ard_3-2-1_50JKT_2021-06-28_final.stac-item
2021-06-28 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-06-28_final.stac-item
2021-06-28 12:04:50	ga_s2am_ard_3-2-1_50JMS_2021-06-28_final.stac-item
2021-06-28 12:04:55	ga_s2am_ard_3-2-1_50JLS_2021-06-28_final.stac-item
2021-06-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-06-28_final.stac-item
2021-06-28 12:04:59	ga_s2am_ard_3-2-1_50JKS_2021-06-28_final.stac-item
2021-06-28 12:05:00	ga_s2am_ard_3-2-1_50JMR_2021-06-28_final.stac-item
2021-06-28 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-06-28_final.stac-item
2021-06-28 12:05:10	ga_s2am_ard_3-2-1_50JLR_2021-06-28_final.stac-item
2021-06-28 12:05:13	ga_s2am_ard_3-2-1_50JKR_2021-06-28_final.stac-item
2021-06-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-06-28_final.stac-item
2021-06-28 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-06-28_final.stac-item
2021-06-28 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-06-28_final.stac-item
2021-06-28 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-06-28_final.stac-item
2021-06-28 12:05:39	ga_s2am_ard_3-2-1_50JLP_2021-06-28_final.stac-item
2021-06-28 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-06-28_final.stac-item
2021-06-28 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-06-28_final.stac-item
2021-06-28 12:05:53	ga_s2am_ard_3-2-1_50JLN_2021-06-28_final.stac-item
2021-06-28 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-06-28_final.stac-item
2021-06-28 12:06:06	ga_s2am_ard_3-2-1_50JLM_2021-06-28_final.stac-item
2021-06-28 12:06:11	ga_s2am_ard_3-2-1_50JKM_2021-06-28_final.stac-item
2021-06-28 12:06:16	ga_s2am_ard_3-2-1_50JLL_2021-06-28_final.stac-item
2021-06-29 09:51:41	ga_s2am_ard_3-2-1_56KKF_2021-06-29_final.stac-item
2021-06-29 09:53:49	ga_s2am_ard_3-2-1_55JEN_2021-06-29_final.stac-item
2021-06-29 09:53:53	ga_s2am_ard_3-2-1_55JDN_2021-06-29_final.stac-item
2021-06-29 09:54:00	ga_s2am_ard_3-2-1_55JCN_2021-06-29_final.stac-item
2021-06-29 09:54:04	ga_s2am_ard_3-2-1_55JEM_2021-06-29_final.stac-item
2021-06-29 09:54:07	ga_s2am_ard_3-2-1_55JDM_2021-06-29_final.stac-item
2021-06-29 09:54:11	ga_s2am_ard_3-2-1_55JCM_2021-06-29_final.stac-item
2021-06-29 09:54:18	ga_s2am_ard_3-2-1_55JEL_2021-06-29_final.stac-item
2021-06-29 09:54:21	ga_s2am_ard_3-2-1_55JDL_2021-06-29_final.stac-item
2021-06-29 09:54:24	ga_s2am_ard_3-2-1_55JCL_2021-06-29_final.stac-item
2021-06-29 09:54:29	ga_s2am_ard_3-2-1_55JFK_2021-06-29_final.stac-item
2021-06-29 09:54:33	ga_s2am_ard_3-2-1_55JEK_2021-06-29_final.stac-item
2021-06-29 09:54:36	ga_s2am_ard_3-2-1_55JDK_2021-06-29_final.stac-item
2021-06-29 09:54:39	ga_s2am_ard_3-2-1_55JCK_2021-06-29_final.stac-item
2021-06-29 09:54:42	ga_s2am_ard_3-2-1_55JFJ_2021-06-29_final.stac-item
2021-06-29 09:54:47	ga_s2am_ard_3-2-1_55JEJ_2021-06-29_final.stac-item
2021-06-29 09:54:51	ga_s2am_ard_3-2-1_55JDJ_2021-06-29_final.stac-item
2021-06-29 09:54:52	ga_s2am_ard_3-2-1_55JFH_2021-06-29_final.stac-item
2021-06-29 09:54:54	ga_s2am_ard_3-2-1_55JCJ_2021-06-29_final.stac-item
2021-06-29 09:55:01	ga_s2am_ard_3-2-1_55JEH_2021-06-29_final.stac-item
2021-06-29 09:55:05	ga_s2am_ard_3-2-1_55JDH_2021-06-29_final.stac-item
2021-06-29 09:55:08	ga_s2am_ard_3-2-1_55JCH_2021-06-29_final.stac-item
2021-06-29 09:55:13	ga_s2am_ard_3-2-1_55JBH_2021-06-29_final.stac-item
2021-06-29 09:55:16	ga_s2am_ard_3-2-1_55JEG_2021-06-29_final.stac-item
2021-06-29 09:55:20	ga_s2am_ard_3-2-1_55JDG_2021-06-29_final.stac-item
2021-06-29 09:55:23	ga_s2am_ard_3-2-1_55JCG_2021-06-29_final.stac-item
2021-06-29 09:55:26	ga_s2am_ard_3-2-1_55JBG_2021-06-29_final.stac-item
2021-06-29 09:55:31	ga_s2am_ard_3-2-1_55JEF_2021-06-29_final.stac-item
2021-06-29 09:55:34	ga_s2am_ard_3-2-1_55JDF_2021-06-29_final.stac-item
2021-06-29 11:34:17	ga_s2am_ard_3-2-1_51JXN_2021-06-29_final.stac-item
2021-06-29 11:34:19	ga_s2am_ard_3-2-1_51KUP_2021-06-29_final.stac-item
2021-06-29 11:34:27	ga_s2am_ard_3-2-1_51JWN_2021-06-29_final.stac-item
2021-06-29 11:34:31	ga_s2am_ard_3-2-1_51JVN_2021-06-29_final.stac-item
2021-06-29 11:34:34	ga_s2am_ard_3-2-1_51JUN_2021-06-29_final.stac-item
2021-06-29 11:34:38	ga_s2am_ard_3-2-1_51JTN_2021-06-29_final.stac-item
2021-06-29 11:34:39	ga_s2am_ard_3-2-1_50JRT_2021-06-29_final.stac-item
2021-06-29 11:34:40	ga_s2am_ard_3-2-1_51JWM_2021-06-29_final.stac-item
2021-06-29 11:34:42	ga_s2am_ard_3-2-1_51JVM_2021-06-29_final.stac-item
2021-06-29 11:34:43	ga_s2am_ard_3-2-1_51JUM_2021-06-29_final.stac-item
2021-06-29 11:34:45	ga_s2am_ard_3-2-1_50JRS_2021-06-29_final.stac-item
2021-06-29 11:34:45	ga_s2am_ard_3-2-1_51JTM_2021-06-29_final.stac-item
2021-06-29 11:34:47	ga_s2am_ard_3-2-1_51JWM_2021-06-29_final.stac-item
2021-06-29 11:34:48	ga_s2am_ard_3-2-1_51JVM_2021-06-29_final.stac-item
2021-06-29 11:34:50	ga_s2am_ard_3-2-1_51JUM_2021-06-29_final.stac-item
2021-06-29 11:34:52	ga_s2am_ard_3-2-1_50JRS_2021-06-29_final.stac-item
2021-06-29 11:34:52	ga_s2am_ard_3-2-1_51JTM_2021-06-29_final.stac-item
2021-06-29 11:34:56	ga_s2am_ard_3-2-1_51JWL_2021-06-29_final.stac-item
2021-06-29 11:35:00	ga_s2am_ard_3-2-1_51JVL_2021-06-29_final.stac-item
2021-06-29 11:35:03	ga_s2am_ard_3-2-1_51JUL_2021-06-29_final.stac-item
2021-06-29 11:35:06	ga_s2am_ard_3-2-1_51JTL_2021-06-29_final.stac-item
2021-06-29 11:35:10	ga_s2am_ard_3-2-1_51JWK_2021-06-29_final.stac-item
2021-06-29 11:35:14	ga_s2am_ard_3-2-1_51JVK_2021-06-29_final.stac-item
2021-06-29 11:35:17	ga_s2am_ard_3-2-1_51JUK_2021-06-29_final.stac-item
2021-06-29 11:35:21	ga_s2am_ard_3-2-1_51JTK_2021-06-29_final.stac-item
2021-06-29 11:35:21	ga_s2am_ard_3-2-1_51JWJ_2021-06-29_final.stac-item
2021-06-29 11:35:28	ga_s2am_ard_3-2-1_51JVJ_2021-06-29_final.stac-item
2021-06-29 11:35:32	ga_s2am_ard_3-2-1_51JUJ_2021-06-29_final.stac-item
2021-06-29 11:35:35	ga_s2am_ard_3-2-1_51JTJ_2021-06-29_final.stac-item
2021-06-29 11:35:39	ga_s2am_ard_3-2-1_50JQP_2021-06-29_final.stac-item
2021-06-29 11:35:43	ga_s2am_ard_3-2-1_51JVH_2021-06-29_final.stac-item
2021-06-29 11:35:46	ga_s2am_ard_3-2-1_51JUH_2021-06-29_final.stac-item
2021-06-29 11:35:50	ga_s2am_ard_3-2-1_51JTH_2021-06-29_final.stac-item
2021-06-29 11:35:52	ga_s2am_ard_3-2-1_50JQN_2021-06-29_final.stac-item
2021-06-29 11:35:58	ga_s2am_ard_3-2-1_51JVG_2021-06-29_final.stac-item
2021-06-29 11:36:01	ga_s2am_ard_3-2-1_51JUG_2021-06-29_final.stac-item
2021-06-29 11:36:04	ga_s2am_ard_3-2-1_51JTG_2021-06-29_final.stac-item
2021-06-29 11:36:07	ga_s2am_ard_3-2-1_50JQM_2021-06-29_final.stac-item
2021-06-29 11:36:12	ga_s2am_ard_3-2-1_51JVF_2021-06-29_final.stac-item
2021-06-29 11:36:16	ga_s2am_ard_3-2-1_51JUF_2021-06-29_final.stac-item
2021-06-29 11:36:19	ga_s2am_ard_3-2-1_51JTF_2021-06-29_final.stac-item
2021-06-29 11:36:21	ga_s2am_ard_3-2-1_50JQL_2021-06-29_final.stac-item
2021-06-29 11:36:25	ga_s2am_ard_3-2-1_51HVE_2021-06-29_final.stac-item
2021-06-29 11:36:28	ga_s2am_ard_3-2-1_50JPL_2021-06-29_final.stac-item
2021-06-29 11:36:30	ga_s2am_ard_3-2-1_51HUE_2021-06-29_final.stac-item
2021-06-29 11:36:33	ga_s2am_ard_3-2-1_51HTE_2021-06-29_final.stac-item
2021-06-29 11:36:35	ga_s2am_ard_3-2-1_51HVD_2021-06-29_final.stac-item
2021-06-29 11:36:36	ga_s2am_ard_3-2-1_50HQK_2021-06-29_final.stac-item

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years