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
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KBP_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KBQ_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KBR_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KBS_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KBT_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KBV_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KCP_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KCQ_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KCR_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KCS_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KCT_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KCU_2017-09-11_final.stac-item
2017-09-11 09:57:05	ga_s2am_ard_3-2-1_55KCV_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JCF_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JCG_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JCH_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JCJ_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JCL_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JCM_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JCN_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55KBP_2017-09-11_final.stac-item
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55KCP_2017-09-11_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55KBA_2017-09-14_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55KBB_2017-09-14_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55KBV_2017-09-14_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55KCA_2017-09-14_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55KCB_2017-09-14_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55KCV_2017-09-14_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55LBC_2017-09-14_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55LBD_2017-09-14_final.stac-item
2017-09-14 10:10:24	ga_s2am_ard_3-2-1_55LBE_2017-09-14_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55GCR_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCA_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCB_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCC_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCD_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCE_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCS_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCT_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCU_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HCV_2017-09-18_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55JCF_2017-09-18_final.stac-item
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55GCN_2017-09-25_final.stac-item
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55GCP_2017-09-25_final.stac-item
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55GCQ_2017-09-25_final.stac-item
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55GCR_2017-09-25_final.stac-item
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55HCS_2017-09-25_final.stac-item
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55HCT_2017-09-25_final.stac-item
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55HCU_2017-09-25_final.stac-item
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55HCV_2017-09-25_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55KBA_2017-10-04_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55KBB_2017-10-04_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55KBV_2017-10-04_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55KCA_2017-10-04_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55KCB_2017-10-04_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55KCV_2017-10-04_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55LBC_2017-10-04_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55LBD_2017-10-04_final.stac-item
2017-10-04 10:10:25	ga_s2am_ard_3-2-1_55LBE_2017-10-04_final.stac-item
2019-07-13 10:02:13	ga_s2am_ard_3-2-1_55KCV_2019-07-13_final.stac-item
2019-07-13 10:02:20	ga_s2am_ard_3-2-1_55KBV_2019-07-13_final.stac-item
2019-07-13 10:02:27	ga_s2am_ard_3-2-1_55KCU_2019-07-13_final.stac-item
2019-07-13 10:02:31	ga_s2am_ard_3-2-1_55KBU_2019-07-13_final.stac-item
2019-07-13 10:02:42	ga_s2am_ard_3-2-1_55KCT_2019-07-13_final.stac-item
2019-07-13 10:02:45	ga_s2am_ard_3-2-1_55KBT_2019-07-13_final.stac-item
2019-07-13 10:02:57	ga_s2am_ard_3-2-1_55KCS_2019-07-13_final.stac-item
2019-07-13 10:02:59	ga_s2am_ard_3-2-1_55KBS_2019-07-13_final.stac-item
2019-07-13 10:03:11	ga_s2am_ard_3-2-1_55KCR_2019-07-13_final.stac-item
2019-07-13 10:03:14	ga_s2am_ard_3-2-1_55KBR_2019-07-13_final.stac-item
2019-07-13 10:03:26	ga_s2am_ard_3-2-1_55KCQ_2019-07-13_final.stac-item
2019-07-13 10:03:29	ga_s2am_ard_3-2-1_55KBQ_2019-07-13_final.stac-item
2019-07-13 10:03:40	ga_s2am_ard_3-2-1_55KCP_2019-07-13_final.stac-item
2019-07-13 10:03:43	ga_s2am_ard_3-2-1_55KBP_2019-07-13_final.stac-item
2019-07-13 10:03:55	ga_s2am_ard_3-2-1_55JCN_2019-07-13_final.stac-item
2019-07-13 10:03:58	ga_s2am_ard_3-2-1_55JBN_2019-07-13_final.stac-item
2019-07-13 10:04:09	ga_s2am_ard_3-2-1_55JCM_2019-07-13_final.stac-item
2019-07-13 10:04:24	ga_s2am_ard_3-2-1_55JCL_2019-07-13_final.stac-item
2019-07-16 10:12:26	ga_s2am_ard_3-2-1_55KBU_2019-07-16_final.stac-item
2019-07-16 10:12:33	ga_s2am_ard_3-2-1_55KCT_2019-07-16_final.stac-item
2019-07-16 10:12:40	ga_s2am_ard_3-2-1_55KBT_2019-07-16_final.stac-item
2019-07-17 09:47:12	ga_s2am_ard_3-2-1_55HCV_2019-07-17_final.stac-item
2019-07-17 09:47:27	ga_s2am_ard_3-2-1_55HCU_2019-07-17_final.stac-item
2019-07-17 09:47:41	ga_s2am_ard_3-2-1_55HCT_2019-07-17_final.stac-item
2019-07-17 09:47:56	ga_s2am_ard_3-2-1_55HCS_2019-07-17_final.stac-item
2019-07-17 09:48:11	ga_s2am_ard_3-2-1_55GCR_2019-07-17_final.stac-item
2019-07-17 09:48:25	ga_s2am_ard_3-2-1_55GCQ_2019-07-17_final.stac-item
2019-07-17 09:48:40	ga_s2am_ard_3-2-1_55GCP_2019-07-17_final.stac-item
2019-07-17 09:48:54	ga_s2am_ard_3-2-1_55GCN_2019-07-17_final.stac-item
2019-08-06 09:47:11	ga_s2am_ard_3-2-1_55HCV_2019-08-06_final.stac-item
2019-08-06 09:47:26	ga_s2am_ard_3-2-1_55HCU_2019-08-06_final.stac-item
2019-08-09 09:54:56	ga_s2am_ard_3-2-1_55JCJ_2019-08-09_final.stac-item
2019-08-09 09:55:11	ga_s2am_ard_3-2-1_55JCH_2019-08-09_final.stac-item
2019-08-09 09:55:25	ga_s2am_ard_3-2-1_55JCG_2019-08-09_final.stac-item
2019-08-09 09:55:40	ga_s2am_ard_3-2-1_55JCF_2019-08-09_final.stac-item
2019-08-09 09:55:54	ga_s2am_ard_3-2-1_55HCE_2019-08-09_final.stac-item
2019-08-09 09:56:09	ga_s2am_ard_3-2-1_55HCD_2019-08-09_final.stac-item
2019-08-09 09:56:23	ga_s2am_ard_3-2-1_55HCC_2019-08-09_final.stac-item
2023-04-13 10:02:08	ga_s2am_ard_3-2-1_55KCV_2023-04-13_final
2023-04-13 10:02:22	ga_s2am_ard_3-2-1_55KCU_2023-04-13_final
2023-04-13 10:02:37	ga_s2am_ard_3-2-1_55KCT_2023-04-13_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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