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
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51JXM_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51JXN_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51JYM_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51JYN_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KXP_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KXQ_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KXR_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KXS_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KXT_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KXU_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KYP_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KYQ_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KYR_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KYS_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KYT_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KYU_2017-04-08_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KYV_2017-04-08_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51JXH_2017-04-15_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51JXJ_2017-04-15_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HXD_2017-04-15_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HXE_2017-04-15_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51JXF_2017-04-15_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51JXG_2017-04-15_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51JXH_2017-05-05_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51JXJ_2017-05-05_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51HXD_2017-05-05_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51HXE_2017-05-05_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51JXF_2017-05-05_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51JXG_2017-05-05_final.stac-item
2021-09-24 11:22:45	ga_s2am_ard_3-2-1_51KYV_2021-09-24_final.stac-item
2021-09-24 11:22:59	ga_s2am_ard_3-2-1_51KYU_2021-09-24_final.stac-item
2021-09-24 11:23:04	ga_s2am_ard_3-2-1_51KXU_2021-09-24_final.stac-item
2021-09-24 11:23:13	ga_s2am_ard_3-2-1_51KYT_2021-09-24_final.stac-item
2021-09-24 11:23:17	ga_s2am_ard_3-2-1_51KXT_2021-09-24_final.stac-item
2021-09-24 11:23:28	ga_s2am_ard_3-2-1_51KYS_2021-09-24_final.stac-item
2021-09-24 11:23:31	ga_s2am_ard_3-2-1_51KXS_2021-09-24_final.stac-item
2021-09-24 11:23:42	ga_s2am_ard_3-2-1_51KYR_2021-09-24_final.stac-item
2021-09-24 11:23:46	ga_s2am_ard_3-2-1_51KXR_2021-09-24_final.stac-item
2021-09-24 11:23:57	ga_s2am_ard_3-2-1_51KYQ_2021-09-24_final.stac-item
2021-09-24 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2021-09-24_final.stac-item
2021-09-24 11:24:11	ga_s2am_ard_3-2-1_51KYP_2021-09-24_final.stac-item
2021-09-24 11:24:15	ga_s2am_ard_3-2-1_51KXP_2021-09-24_final.stac-item
2021-09-24 11:24:26	ga_s2am_ard_3-2-1_51JYN_2021-09-24_final.stac-item
2021-09-24 11:24:30	ga_s2am_ard_3-2-1_51JXN_2021-09-24_final.stac-item
2021-09-24 11:24:40	ga_s2am_ard_3-2-1_51JYM_2021-09-24_final.stac-item
2021-09-24 11:24:44	ga_s2am_ard_3-2-1_51JXM_2021-09-24_final.stac-item
2021-09-24 11:24:54	ga_s2am_ard_3-2-1_51JYL_2021-09-24_final.stac-item
2021-09-24 11:24:59	ga_s2am_ard_3-2-1_51JXL_2021-09-24_final.stac-item
2021-09-24 11:25:13	ga_s2am_ard_3-2-1_51JXK_2021-09-24_final.stac-item
2021-09-24 11:25:27	ga_s2am_ard_3-2-1_51JXJ_2021-09-24_final.stac-item
2021-09-24 11:25:42	ga_s2am_ard_3-2-1_51JXH_2021-09-24_final.stac-item
2021-09-24 11:25:56	ga_s2am_ard_3-2-1_51JXG_2021-09-24_final.stac-item
2021-09-27 11:31:28	ga_s2am_ard_3-2-1_51LYE_2021-09-27_final.stac-item
2021-09-27 11:31:43	ga_s2am_ard_3-2-1_51LYD_2021-09-27_final.stac-item
2021-09-27 11:31:57	ga_s2am_ard_3-2-1_51LYC_2021-09-27_final.stac-item
2021-09-27 11:32:11	ga_s2am_ard_3-2-1_51KYB_2021-09-27_final.stac-item
2021-09-27 11:32:26	ga_s2am_ard_3-2-1_51KYA_2021-09-27_final.stac-item
2021-09-27 11:32:54	ga_s2am_ard_3-2-1_51KYU_2021-09-27_final.stac-item
2021-09-27 11:32:58	ga_s2am_ard_3-2-1_51KXU_2021-09-27_final.stac-item
2021-09-27 11:33:06	ga_s2am_ard_3-2-1_51KYT_2021-09-27_final.stac-item
2021-09-27 11:33:13	ga_s2am_ard_3-2-1_51KXT_2021-09-27_final.stac-item
2021-10-01 11:15:34	ga_s2am_ard_3-2-1_51JXJ_2021-10-01_final.stac-item
2021-10-01 11:15:47	ga_s2am_ard_3-2-1_51JXH_2021-10-01_final.stac-item
2021-10-01 11:16:02	ga_s2am_ard_3-2-1_51JXG_2021-10-01_final.stac-item
2021-10-01 11:16:16	ga_s2am_ard_3-2-1_51JXF_2021-10-01_final.stac-item
2021-10-01 11:16:30	ga_s2am_ard_3-2-1_51HXE_2021-10-01_final.stac-item
2021-10-01 11:16:45	ga_s2am_ard_3-2-1_51HXD_2021-10-01_final.stac-item
2021-10-01 11:16:59	ga_s2am_ard_3-2-1_51HXC_2021-10-01_final
2021-10-01 11:17:11	ga_s2am_ard_3-2-1_51HXB_2021-10-01_final
2021-10-04 11:22:46	ga_s2am_ard_3-2-1_51KYV_2021-10-04_final.stac-item
2021-10-04 11:23:00	ga_s2am_ard_3-2-1_51KYU_2021-10-04_final.stac-item
2021-10-04 11:23:05	ga_s2am_ard_3-2-1_51KXU_2021-10-04_final.stac-item
2021-10-04 11:23:15	ga_s2am_ard_3-2-1_51KYT_2021-10-04_final.stac-item
2021-10-04 11:23:18	ga_s2am_ard_3-2-1_51KXT_2021-10-04_final.stac-item
2021-10-04 11:23:30	ga_s2am_ard_3-2-1_51KYS_2021-10-04_final.stac-item
2021-10-04 11:23:33	ga_s2am_ard_3-2-1_51KXS_2021-10-04_final.stac-item
2021-10-04 11:23:44	ga_s2am_ard_3-2-1_51KYR_2021-10-04_final.stac-item
2021-10-07 11:31:29	ga_s2am_ard_3-2-1_51LYE_2021-10-07_final.stac-item
2021-10-07 11:31:44	ga_s2am_ard_3-2-1_51LYD_2021-10-07_final.stac-item
2021-10-07 11:31:58	ga_s2am_ard_3-2-1_51LYC_2021-10-07_final.stac-item
2021-10-07 11:32:12	ga_s2am_ard_3-2-1_51KYB_2021-10-07_final.stac-item
2021-10-11 11:15:35	ga_s2am_ard_3-2-1_51JXJ_2021-10-11_final.stac-item
2021-10-11 11:15:48	ga_s2am_ard_3-2-1_51JXH_2021-10-11_final.stac-item
2021-10-11 11:16:02	ga_s2am_ard_3-2-1_51JXG_2021-10-11_final.stac-item
2021-10-11 11:16:17	ga_s2am_ard_3-2-1_51JXF_2021-10-11_final.stac-item
2021-10-11 11:16:31	ga_s2am_ard_3-2-1_51HXE_2021-10-11_final.stac-item
2021-10-11 11:16:46	ga_s2am_ard_3-2-1_51HXD_2021-10-11_final.stac-item
2021-10-14 11:22:47	ga_s2am_ard_3-2-1_51KYV_2021-10-14_final.stac-item
2021-10-14 11:23:01	ga_s2am_ard_3-2-1_51KYU_2021-10-14_final.stac-item
2021-10-14 11:23:06	ga_s2am_ard_3-2-1_51KXU_2021-10-14_final.stac-item
2021-10-14 11:23:16	ga_s2am_ard_3-2-1_51KYT_2021-10-14_final.stac-item
2021-10-17 11:31:30	ga_s2am_ard_3-2-1_51LYE_2021-10-17_final.stac-item
2021-10-17 11:31:44	ga_s2am_ard_3-2-1_51LYD_2021-10-17_final.stac-item
2021-10-17 11:31:58	ga_s2am_ard_3-2-1_51LYC_2021-10-17_final.stac-item
2021-10-17 11:32:13	ga_s2am_ard_3-2-1_51KYB_2021-10-17_final.stac-item
2021-10-21 11:15:35	ga_s2am_ard_3-2-1_51JXJ_2021-10-21_final.stac-item
2021-10-21 11:15:48	ga_s2am_ard_3-2-1_51JXH_2021-10-21_final.stac-item
2021-10-21 11:16:02	ga_s2am_ard_3-2-1_51JXG_2021-10-21_final.stac-item
2021-10-21 11:16:17	ga_s2am_ard_3-2-1_51JXF_2021-10-21_final.stac-item
2021-10-21 11:16:31	ga_s2am_ard_3-2-1_51HXE_2021-10-21_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