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
2020-01-05 12:04:22	ga_s2am_ard_3-2-1_49KHP_2020-01-05_final.stac-item
2020-01-05 12:04:22	ga_s2am_ard_3-2-1_50KKU_2020-01-05_final.stac-item
2020-01-05 12:04:26	ga_s2am_ard_3-2-1_49KGP_2020-01-05_final.stac-item
2020-01-05 12:04:30	ga_s2am_ard_3-2-1_50JMT_2020-01-05_final.stac-item
2020-01-05 12:04:34	ga_s2am_ard_3-2-1_50JLT_2020-01-05_final.stac-item
2020-01-05 12:04:37	ga_s2am_ard_3-2-1_49JHN_2020-01-05_final.stac-item
2020-01-05 12:04:37	ga_s2am_ard_3-2-1_50JKT_2020-01-05_final.stac-item
2020-01-05 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-05_final.stac-item
2020-01-05 12:04:43	ga_s2am_ard_3-2-1_50JMS_2020-01-05_final.stac-item
2020-01-05 12:04:48	ga_s2am_ard_3-2-1_50JLS_2020-01-05_final.stac-item
2020-01-05 12:04:51	ga_s2am_ard_3-2-1_49JHM_2020-01-05_final.stac-item
2020-01-05 12:04:51	ga_s2am_ard_3-2-1_50JKS_2020-01-05_final.stac-item
2020-01-05 12:04:53	ga_s2am_ard_3-2-1_50JMR_2020-01-05_final.stac-item
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final.stac-item
2020-01-06 09:55:05	ga_s2am_ard_3-2-1_55JBH_2020-01-06_final.stac-item
2020-01-06 09:55:19	ga_s2am_ard_3-2-1_55JBG_2020-01-06_final.stac-item
2020-01-06 09:55:30	ga_s2am_ard_3-2-1_55JCF_2020-01-06_final.stac-item
2020-01-06 09:55:33	ga_s2am_ard_3-2-1_55JBF_2020-01-06_final.stac-item
2020-01-06 09:55:37	ga_s2am_ard_3-2-1_55HEE_2020-01-06_final.stac-item
2020-01-06 09:55:41	ga_s2am_ard_3-2-1_55HDE_2020-01-06_final.stac-item
2020-01-06 09:55:45	ga_s2am_ard_3-2-1_55HCE_2020-01-06_final.stac-item
2020-01-06 09:55:48	ga_s2am_ard_3-2-1_55HBE_2020-01-06_final.stac-item
2020-01-06 09:55:49	ga_s2am_ard_3-2-1_55HED_2020-01-06_final.stac-item
2020-01-06 09:55:51	ga_s2am_ard_3-2-1_54HYK_2020-01-06_final.stac-item
2020-01-06 09:55:56	ga_s2am_ard_3-2-1_55HDD_2020-01-06_final.stac-item
2020-01-06 09:55:59	ga_s2am_ard_3-2-1_55HCD_2020-01-06_final.stac-item
2020-01-06 09:56:03	ga_s2am_ard_3-2-1_55HBD_2020-01-06_final.stac-item
2020-01-06 09:56:04	ga_s2am_ard_3-2-1_54HYJ_2020-01-06_final.stac-item
2020-01-06 09:56:10	ga_s2am_ard_3-2-1_55HDC_2020-01-06_final.stac-item
2020-01-06 09:56:14	ga_s2am_ard_3-2-1_55HCC_2020-01-06_final.stac-item
2020-01-06 09:56:17	ga_s2am_ard_3-2-1_55HBC_2020-01-06_final.stac-item
2020-01-06 09:56:19	ga_s2am_ard_3-2-1_54HYH_2020-01-06_final.stac-item
2020-01-06 09:56:25	ga_s2am_ard_3-2-1_55HDB_2020-01-06_final.stac-item
2020-01-06 09:56:28	ga_s2am_ard_3-2-1_55HCB_2020-01-06_final.stac-item
2020-01-06 09:56:32	ga_s2am_ard_3-2-1_55HBB_2020-01-06_final.stac-item
2020-01-06 09:56:34	ga_s2am_ard_3-2-1_54HYG_2020-01-06_final.stac-item
2020-01-06 09:56:39	ga_s2am_ard_3-2-1_55HDA_2020-01-06_final.stac-item
2020-01-06 09:56:40	ga_s2am_ard_3-2-1_54HXG_2020-01-06_final.stac-item
2020-01-06 09:56:43	ga_s2am_ard_3-2-1_55HCA_2020-01-06_final.stac-item
2020-01-06 09:56:46	ga_s2am_ard_3-2-1_55HBA_2020-01-06_final.stac-item
2020-01-06 09:56:48	ga_s2am_ard_3-2-1_54HYF_2020-01-06_final.stac-item
2020-01-06 09:56:52	ga_s2am_ard_3-2-1_54HXF_2020-01-06_final.stac-item
2020-01-06 09:56:53	ga_s2am_ard_3-2-1_55HDV_2020-01-06_final.stac-item
2020-01-06 09:56:57	ga_s2am_ard_3-2-1_55HCV_2020-01-06_final.stac-item
2020-01-06 09:57:01	ga_s2am_ard_3-2-1_55HBV_2020-01-06_final.stac-item
2020-01-06 09:57:02	ga_s2am_ard_3-2-1_54HYE_2020-01-06_final.stac-item
2020-01-06 09:57:03	ga_s2am_ard_3-2-1_55HDU_2020-01-06_final.stac-item
2020-01-06 09:57:06	ga_s2am_ard_3-2-1_54HXE_2020-01-06_final.stac-item
2020-01-06 09:57:12	ga_s2am_ard_3-2-1_55HCU_2020-01-06_final.stac-item
2020-01-06 09:57:16	ga_s2am_ard_3-2-1_55HBU_2020-01-06_final.stac-item
2020-01-06 09:57:17	ga_s2am_ard_3-2-1_54HYD_2020-01-06_final.stac-item
2020-01-06 09:57:21	ga_s2am_ard_3-2-1_54HXD_2020-01-06_final.stac-item
2020-01-06 11:33:25	ga_s2am_ard_3-2-1_51KVS_2020-01-06_final.stac-item
2020-01-06 11:33:29	ga_s2am_ard_3-2-1_51KUS_2020-01-06_final.stac-item
2020-01-06 11:33:33	ga_s2am_ard_3-2-1_51KXR_2020-01-06_final.stac-item
2020-01-06 11:33:36	ga_s2am_ard_3-2-1_51KWR_2020-01-06_final.stac-item
2020-01-06 11:33:39	ga_s2am_ard_3-2-1_51KVR_2020-01-06_final.stac-item
2020-01-06 11:33:42	ga_s2am_ard_3-2-1_51KUR_2020-01-06_final.stac-item
2020-01-06 11:33:47	ga_s2am_ard_3-2-1_51KXQ_2020-01-06_final.stac-item
2020-01-06 11:33:51	ga_s2am_ard_3-2-1_51KWQ_2020-01-06_final.stac-item
2020-01-06 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2020-01-06_final.stac-item
2020-01-06 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2020-01-06_final.stac-item
2020-01-06 11:34:00	ga_s2am_ard_3-2-1_51KXP_2020-01-06_final.stac-item
2020-01-06 11:34:05	ga_s2am_ard_3-2-1_51KWP_2020-01-06_final.stac-item
2020-01-06 11:34:09	ga_s2am_ard_3-2-1_51KVP_2020-01-06_final.stac-item
2020-01-06 11:34:10	ga_s2am_ard_3-2-1_51JXN_2020-01-06_final.stac-item
2020-01-06 11:34:12	ga_s2am_ard_3-2-1_51KUP_2020-01-06_final.stac-item
2020-01-06 11:34:19	ga_s2am_ard_3-2-1_51JWN_2020-01-06_final.stac-item
2020-01-06 11:34:23	ga_s2am_ard_3-2-1_51JVN_2020-01-06_final.stac-item
2020-01-06 11:34:26	ga_s2am_ard_3-2-1_51JUN_2020-01-06_final.stac-item
2020-01-06 11:34:30	ga_s2am_ard_3-2-1_51JTN_2020-01-06_final.stac-item
2020-01-06 11:34:31	ga_s2am_ard_3-2-1_50JRT_2020-01-06_final.stac-item
2020-01-06 11:34:34	ga_s2am_ard_3-2-1_51JWM_2020-01-06_final.stac-item
2020-01-06 11:34:38	ga_s2am_ard_3-2-1_51JVM_2020-01-06_final.stac-item
2020-01-06 11:34:41	ga_s2am_ard_3-2-1_51JUM_2020-01-06_final.stac-item
2020-01-06 11:34:44	ga_s2am_ard_3-2-1_50JRS_2020-01-06_final.stac-item
2020-01-06 11:34:44	ga_s2am_ard_3-2-1_51JTM_2020-01-06_final.stac-item
2020-01-06 11:34:49	ga_s2am_ard_3-2-1_51JWL_2020-01-06_final.stac-item
2020-01-06 11:34:52	ga_s2am_ard_3-2-1_51JVL_2020-01-06_final.stac-item
2020-01-06 11:34:56	ga_s2am_ard_3-2-1_51JUL_2020-01-06_final.stac-item
2020-01-06 11:34:58	ga_s2am_ard_3-2-1_51JTL_2020-01-06_final.stac-item
2020-01-06 11:35:02	ga_s2am_ard_3-2-1_51JWK_2020-01-06_final.stac-item
2020-01-06 11:35:07	ga_s2am_ard_3-2-1_51JVK_2020-01-06_final.stac-item
2020-01-06 11:35:10	ga_s2am_ard_3-2-1_51JUK_2020-01-06_final.stac-item
2020-01-06 11:35:13	ga_s2am_ard_3-2-1_51JTK_2020-01-06_final.stac-item
2020-01-06 11:35:14	ga_s2am_ard_3-2-1_51JWJ_2020-01-06_final.stac-item
2020-01-06 11:35:21	ga_s2am_ard_3-2-1_51JVJ_2020-01-06_final.stac-item
2020-01-06 11:35:25	ga_s2am_ard_3-2-1_51JUJ_2020-01-06_final.stac-item
2020-01-06 11:35:28	ga_s2am_ard_3-2-1_51JTJ_2020-01-06_final.stac-item
2020-01-06 11:35:32	ga_s2am_ard_3-2-1_50JQP_2020-01-06_final.stac-item
2020-01-06 11:35:36	ga_s2am_ard_3-2-1_51JVH_2020-01-06_final.stac-item
2020-01-06 11:35:39	ga_s2am_ard_3-2-1_51JUH_2020-01-06_final.stac-item
2020-01-06 11:35:42	ga_s2am_ard_3-2-1_51JTH_2020-01-06_final.stac-item
2020-01-06 11:35:45	ga_s2am_ard_3-2-1_50JQN_2020-01-06_final.stac-item
2020-01-06 11:35:50	ga_s2am_ard_3-2-1_51JVG_2020-01-06_final.stac-item
2020-01-06 11:35:54	ga_s2am_ard_3-2-1_51JUG_2020-01-06_final.stac-item
2020-01-06 11:35:57	ga_s2am_ard_3-2-1_51JTG_2020-01-06_final.stac-item
2020-01-06 11:36:00	ga_s2am_ard_3-2-1_50JQM_2020-01-06_final.stac-item
2020-01-06 11:36:05	ga_s2am_ard_3-2-1_51JVF_2020-01-06_final.stac-item
2020-01-06 11:36:08	ga_s2am_ard_3-2-1_51JUF_2020-01-06_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

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