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
2020-03-23 09:48:12	ga_s2am_ard_3-2-1_55GDQ_2020-03-23_final.stac-item
2020-03-23 09:48:16	ga_s2am_ard_3-2-1_55GCQ_2020-03-23_final.stac-item
2020-03-23 09:48:18	ga_s2am_ard_3-2-1_55GEP_2020-03-23_final.stac-item
2020-03-23 09:48:20	ga_s2am_ard_3-2-1_54GYV_2020-03-23_final
2020-03-23 09:48:27	ga_s2am_ard_3-2-1_55GDP_2020-03-23_final.stac-item
2020-03-23 09:48:31	ga_s2am_ard_3-2-1_55GCP_2020-03-23_final.stac-item
2020-03-23 09:48:41	ga_s2am_ard_3-2-1_55GDN_2020-03-23_final.stac-item
2020-03-23 09:48:45	ga_s2am_ard_3-2-1_55GCN_2020-03-23_final.stac-item
2020-03-23 09:48:56	ga_s2am_ard_3-2-1_55GCM_2020-03-23_final
2020-03-23 11:21:20	ga_s2am_ard_3-2-1_52LBK_2020-03-23_final.stac-item
2020-03-23 11:21:22	ga_s2am_ard_3-2-1_51LZE_2020-03-23_final.stac-item
2020-03-23 11:21:28	ga_s2am_ard_3-2-1_52LDJ_2020-03-23_final.stac-item
2020-03-23 11:21:32	ga_s2am_ard_3-2-1_52LCJ_2020-03-23_final.stac-item
2020-03-23 11:21:35	ga_s2am_ard_3-2-1_52LBJ_2020-03-23_final.stac-item
2020-03-23 11:21:36	ga_s2am_ard_3-2-1_51LZD_2020-03-23_final.stac-item
2020-03-23 11:21:43	ga_s2am_ard_3-2-1_52LDH_2020-03-23_final.stac-item
2020-03-23 11:21:46	ga_s2am_ard_3-2-1_52LCH_2020-03-23_final.stac-item
2020-03-23 11:21:49	ga_s2am_ard_3-2-1_52LBH_2020-03-23_final.stac-item
2020-03-23 11:21:51	ga_s2am_ard_3-2-1_51LZC_2020-03-23_final.stac-item
2020-03-23 11:21:55	ga_s2am_ard_3-2-1_51LYC_2020-03-23_final.stac-item
2020-03-23 11:21:57	ga_s2am_ard_3-2-1_52KDG_2020-03-23_final.stac-item
2020-03-23 11:22:01	ga_s2am_ard_3-2-1_52KCG_2020-03-23_final.stac-item
2020-03-23 11:22:03	ga_s2am_ard_3-2-1_52KBG_2020-03-23_final.stac-item
2020-03-23 11:22:03	ga_s2am_ard_3-2-1_51KZB_2020-03-23_final.stac-item
2020-03-23 11:22:05	ga_s2am_ard_3-2-1_51KYB_2020-03-23_final.stac-item
2020-03-23 11:22:06	ga_s2am_ard_3-2-1_52KDF_2020-03-23_final.stac-item
2020-03-23 11:22:08	ga_s2am_ard_3-2-1_52KCG_2020-03-23_final.stac-item
2020-03-23 11:22:08	ga_s2am_ard_3-2-1_52KCF_2020-03-23_final.stac-item
2020-03-23 11:22:08	ga_s2am_ard_3-2-1_52KBF_2020-03-23_final.stac-item
2020-03-23 11:22:09	ga_s2am_ard_3-2-1_52KBG_2020-03-23_final.stac-item
2020-03-23 11:22:10	ga_s2am_ard_3-2-1_52KDF_2020-03-23_final.stac-item
2020-03-23 11:22:10	ga_s2am_ard_3-2-1_51KZB_2020-03-23_final.stac-item
2020-03-23 11:22:11	ga_s2am_ard_3-2-1_51KYB_2020-03-23_final.stac-item
2020-03-23 11:22:15	ga_s2am_ard_3-2-1_52KCF_2020-03-23_final.stac-item
2020-03-23 11:22:19	ga_s2am_ard_3-2-1_52KBF_2020-03-23_final.stac-item
2020-03-23 11:22:20	ga_s2am_ard_3-2-1_51KZA_2020-03-23_final.stac-item
2020-03-23 11:22:23	ga_s2am_ard_3-2-1_51KYA_2020-03-23_final.stac-item
2020-03-23 11:22:30	ga_s2am_ard_3-2-1_52KCE_2020-03-23_final.stac-item
2020-03-23 11:22:33	ga_s2am_ard_3-2-1_52KBE_2020-03-23_final.stac-item
2020-03-23 11:22:34	ga_s2am_ard_3-2-1_51KZV_2020-03-23_final.stac-item
2020-03-23 11:22:38	ga_s2am_ard_3-2-1_51KYV_2020-03-23_final.stac-item
2020-03-23 11:22:44	ga_s2am_ard_3-2-1_52KCD_2020-03-23_final.stac-item
2020-03-23 11:22:48	ga_s2am_ard_3-2-1_52KBD_2020-03-23_final.stac-item
2020-03-23 11:22:49	ga_s2am_ard_3-2-1_51KZU_2020-03-23_final.stac-item
2020-03-23 11:22:52	ga_s2am_ard_3-2-1_51KYU_2020-03-23_final.stac-item
2020-03-23 11:22:57	ga_s2am_ard_3-2-1_51KXU_2020-03-23_final.stac-item
2020-03-23 11:22:59	ga_s2am_ard_3-2-1_52KCC_2020-03-23_final.stac-item
2020-03-23 11:23:02	ga_s2am_ard_3-2-1_52KBC_2020-03-23_final.stac-item
2020-03-23 11:23:03	ga_s2am_ard_3-2-1_51KZT_2020-03-23_final.stac-item
2020-03-23 11:23:06	ga_s2am_ard_3-2-1_51KYT_2020-03-23_final.stac-item
2020-03-23 11:23:10	ga_s2am_ard_3-2-1_51KXT_2020-03-23_final.stac-item
2020-03-23 11:23:13	ga_s2am_ard_3-2-1_52KCB_2020-03-23_final.stac-item
2020-03-23 11:23:17	ga_s2am_ard_3-2-1_52KBB_2020-03-23_final.stac-item
2020-03-23 11:23:17	ga_s2am_ard_3-2-1_51KZS_2020-03-23_final.stac-item
2020-03-23 11:23:21	ga_s2am_ard_3-2-1_51KYS_2020-03-23_final.stac-item
2020-03-23 11:23:24	ga_s2am_ard_3-2-1_52KCA_2020-03-23_final.stac-item
2020-03-23 11:23:24	ga_s2am_ard_3-2-1_51KXS_2020-03-23_final.stac-item
2020-03-23 11:23:31	ga_s2am_ard_3-2-1_52KBA_2020-03-23_final.stac-item
2020-03-23 11:23:32	ga_s2am_ard_3-2-1_51KZR_2020-03-23_final.stac-item
2020-03-23 11:23:35	ga_s2am_ard_3-2-1_51KYR_2020-03-23_final.stac-item
2020-03-23 11:23:39	ga_s2am_ard_3-2-1_51KXR_2020-03-23_final.stac-item
2020-03-23 11:23:46	ga_s2am_ard_3-2-1_52KBV_2020-03-23_final.stac-item
2020-03-23 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2020-03-23_final.stac-item
2020-03-23 11:23:50	ga_s2am_ard_3-2-1_51KYQ_2020-03-23_final.stac-item
2020-03-23 11:23:53	ga_s2am_ard_3-2-1_51KXQ_2020-03-23_final.stac-item
2020-03-23 11:23:58	ga_s2am_ard_3-2-1_51KWQ_2020-03-23_final.stac-item
2020-03-23 11:24:00	ga_s2am_ard_3-2-1_51KZP_2020-03-23_final.stac-item
2020-03-23 11:24:01	ga_s2am_ard_3-2-1_52KBU_2020-03-23_final.stac-item
2020-03-23 11:24:04	ga_s2am_ard_3-2-1_51KYP_2020-03-23_final.stac-item
2020-03-23 11:24:08	ga_s2am_ard_3-2-1_51KXP_2020-03-23_final.stac-item
2020-03-23 11:24:11	ga_s2am_ard_3-2-1_51KWP_2020-03-23_final.stac-item
2020-03-23 11:24:15	ga_s2am_ard_3-2-1_51JZN_2020-03-23_final.stac-item
2020-03-23 11:24:15	ga_s2am_ard_3-2-1_52JBT_2020-03-23_final.stac-item
2020-03-23 11:24:19	ga_s2am_ard_3-2-1_51JYN_2020-03-23_final.stac-item
2020-03-23 11:24:22	ga_s2am_ard_3-2-1_51JXN_2020-03-23_final.stac-item
2020-03-23 11:24:26	ga_s2am_ard_3-2-1_51JWN_2020-03-23_final.stac-item
2020-03-23 11:24:28	ga_s2am_ard_3-2-1_51JZM_2020-03-23_final.stac-item
2020-03-23 11:24:29	ga_s2am_ard_3-2-1_52JBS_2020-03-23_final.stac-item
2020-03-23 11:24:33	ga_s2am_ard_3-2-1_51JYM_2020-03-23_final.stac-item
2020-03-23 11:24:37	ga_s2am_ard_3-2-1_51JXM_2020-03-23_final.stac-item
2020-03-23 11:25:00	ga_s2am_ard_3-2-1_51JVL_2020-03-23_final.stac-item
2020-03-23 11:25:13	ga_s2am_ard_3-2-1_51JVK_2020-03-23_final.stac-item
2020-03-23 11:25:27	ga_s2am_ard_3-2-1_51JVJ_2020-03-23_final.stac-item
2020-03-23 11:25:42	ga_s2am_ard_3-2-1_51JVH_2020-03-23_final.stac-item
2020-03-23 11:25:53	ga_s2am_ard_3-2-1_51JWG_2020-03-23_final.stac-item
2020-03-23 11:25:56	ga_s2am_ard_3-2-1_51JVG_2020-03-23_final.stac-item
2020-03-23 11:26:02	ga_s2am_ard_3-2-1_51JUG_2020-03-23_final.stac-item
2020-03-23 11:26:07	ga_s2am_ard_3-2-1_51JWF_2020-03-23_final.stac-item
2020-03-23 11:26:11	ga_s2am_ard_3-2-1_51JVF_2020-03-23_final.stac-item
2020-03-23 11:26:14	ga_s2am_ard_3-2-1_51JUF_2020-03-23_final.stac-item
2020-03-23 11:26:18	ga_s2am_ard_3-2-1_51HXE_2020-03-23_final.stac-item
2020-03-23 11:26:22	ga_s2am_ard_3-2-1_51HWE_2020-03-23_final.stac-item
2020-03-23 11:26:25	ga_s2am_ard_3-2-1_51HVE_2020-03-23_final.stac-item
2020-03-23 11:26:28	ga_s2am_ard_3-2-1_51HUE_2020-03-23_final.stac-item
2020-03-23 11:26:32	ga_s2am_ard_3-2-1_51HXD_2020-03-23_final.stac-item
2020-03-23 11:26:36	ga_s2am_ard_3-2-1_51HWD_2020-03-23_final.stac-item
2020-03-23 11:26:40	ga_s2am_ard_3-2-1_51HVD_2020-03-23_final.stac-item
2020-03-23 11:26:43	ga_s2am_ard_3-2-1_51HUD_2020-03-23_final.stac-item
2020-03-23 11:26:55	ga_s2am_ard_3-2-1_51HVC_2020-03-23_final.stac-item
2020-03-23 11:26:58	ga_s2am_ard_3-2-1_51HUC_2020-03-23_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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