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
2024-04-05 09:27:07	ga_s2am_ard_3-2-1_56HLD_2024-04-04_nrt
2024-04-05 09:27:11	ga_s2am_ard_3-2-1_56HKD_2024-04-04_final
2024-04-05 09:27:11	ga_s2am_ard_3-2-1_55HGU_2024-04-04_final
2024-04-05 09:27:12	ga_s2am_ard_3-2-1_56HNC_2024-04-04_nrt
2024-04-05 09:27:18	ga_s2am_ard_3-2-1_56HMC_2024-04-04_nrt
2024-04-05 09:27:22	ga_s2am_ard_3-2-1_56HLC_2024-04-04_nrt
2024-04-05 09:27:25	ga_s2am_ard_3-2-1_56HKC_2024-04-04_final
2024-04-05 09:27:26	ga_s2am_ard_3-2-1_55HGT_2024-04-04_final
2024-04-05 09:27:33	ga_s2am_ard_3-2-1_56HMB_2024-04-04_nrt
2024-04-05 09:27:37	ga_s2am_ard_3-2-1_56HLB_2024-04-04_nrt
2024-04-05 09:27:40	ga_s2am_ard_3-2-1_56HKB_2024-04-04_interim
2024-04-05 09:27:40	ga_s2am_ard_3-2-1_55HGS_2024-04-04_nrt
2024-04-05 09:27:46	ga_s2am_ard_3-2-1_55HFS_2024-04-04_final
2024-04-05 09:27:48	ga_s2am_ard_3-2-1_56GMA_2024-04-04_nrt
2024-04-05 09:27:51	ga_s2am_ard_3-2-1_56GLA_2024-04-04_nrt
2024-04-05 09:27:54	ga_s2am_ard_3-2-1_56GKA_2024-04-04_nrt
2024-04-05 09:27:55	ga_s2am_ard_3-2-1_55GGR_2024-04-04_nrt
2024-04-05 09:27:59	ga_s2am_ard_3-2-1_55GFR_2024-04-04_final
2024-04-05 09:28:02	ga_s2am_ard_3-2-1_56GMV_2024-04-04_nrt
2024-04-05 09:28:06	ga_s2am_ard_3-2-1_56GLV_2024-04-04_nrt
2024-04-05 09:28:09	ga_s2am_ard_3-2-1_56GKV_2024-04-04_nrt
2024-04-05 09:28:09	ga_s2am_ard_3-2-1_55GGQ_2024-04-04_nrt
2024-04-05 09:28:13	ga_s2am_ard_3-2-1_55GFQ_2024-04-04_final
2024-04-05 09:28:15	ga_s2am_ard_3-2-1_56GMU_2024-04-04_nrt
2024-04-05 09:28:20	ga_s2am_ard_3-2-1_56GLU_2024-04-04_nrt
2024-04-05 09:28:23	ga_s2am_ard_3-2-1_55GGP_2024-04-04_nrt
2024-04-05 09:28:23	ga_s2am_ard_3-2-1_56GKU_2024-04-04_nrt
2024-04-05 09:28:26	ga_s2am_ard_3-2-1_56GMT_2024-04-04_nrt
2024-04-05 09:28:28	ga_s2am_ard_3-2-1_55GFP_2024-04-04_final
2024-04-05 09:28:34	ga_s2am_ard_3-2-1_56GLT_2024-04-04_nrt
2024-04-05 09:28:35	ga_s2am_ard_3-2-1_55GEP_2024-04-04_final
2024-04-05 09:28:38	ga_s2am_ard_3-2-1_55GGN_2024-04-04_nrt
2024-04-05 09:28:42	ga_s2am_ard_3-2-1_55GFN_2024-04-04_final
2024-04-05 09:28:46	ga_s2am_ard_3-2-1_55GEN_2024-04-04_final
2024-04-05 09:28:49	ga_s2am_ard_3-2-1_56GLS_2024-04-04_nrt
2024-04-05 09:28:52	ga_s2am_ard_3-2-1_55GGM_2024-04-04_nrt
2024-04-05 09:28:54	ga_s2am_ard_3-2-1_55GFM_2024-04-04_final
2024-04-05 09:28:56	ga_s2am_ard_3-2-1_55GEM_2024-04-04_final
2024-04-05 11:00:05	ga_s2am_ard_3-2-1_53LMJ_2024-04-05_nrt
2024-04-05 11:00:08	ga_s2am_ard_3-2-1_53LLJ_2024-04-05_final
2024-04-05 11:00:11	ga_s2am_ard_3-2-1_53LKJ_2024-04-05_final
2024-04-05 11:00:13	ga_s2am_ard_3-2-1_52LHP_2024-04-05_final
2024-04-05 11:00:19	ga_s2am_ard_3-2-1_53LMH_2024-04-05_final
2024-04-05 11:00:23	ga_s2am_ard_3-2-1_53LLH_2024-04-05_final
2024-04-05 11:00:26	ga_s2am_ard_3-2-1_53LKH_2024-04-05_final
2024-04-05 11:00:28	ga_s2am_ard_3-2-1_52LHN_2024-04-05_final
2024-04-05 11:00:33	ga_s2am_ard_3-2-1_53LMG_2024-04-05_final
2024-04-05 11:02:41	ga_s2am_ard_3-2-1_52KGD_2024-04-05_final
2024-04-05 11:02:45	ga_s2am_ard_3-2-1_52KFD_2024-04-05_final
2024-04-05 11:02:49	ga_s2am_ard_3-2-1_52KED_2024-04-05_final
2024-04-05 11:02:51	ga_s2am_ard_3-2-1_53KKT_2024-04-05_final
2024-04-05 11:02:52	ga_s2am_ard_3-2-1_52KHC_2024-04-05_final
2024-04-05 11:02:56	ga_s2am_ard_3-2-1_52KGC_2024-04-05_final
2024-04-05 11:02:59	ga_s2am_ard_3-2-1_52KFC_2024-04-05_final
2024-04-05 11:03:02	ga_s2am_ard_3-2-1_52KEC_2024-04-05_final
2024-04-05 11:03:05	ga_s2am_ard_3-2-1_53KKS_2024-04-05_final
2024-04-05 11:03:06	ga_s2am_ard_3-2-1_52KHB_2024-04-05_final
2024-04-05 11:03:10	ga_s2am_ard_3-2-1_52KGB_2024-04-05_final
2024-04-05 11:03:14	ga_s2am_ard_3-2-1_52KFB_2024-04-05_final
2024-04-05 11:03:16	ga_s2am_ard_3-2-1_53KKR_2024-04-05_final
2024-04-05 11:03:17	ga_s2am_ard_3-2-1_52KEB_2024-04-05_final
2024-04-05 11:03:20	ga_s2am_ard_3-2-1_52KHA_2024-04-05_final
2024-04-05 11:03:25	ga_s2am_ard_3-2-1_52KGA_2024-04-05_final
2024-04-05 11:03:28	ga_s2am_ard_3-2-1_52KFA_2024-04-05_final
2024-04-05 11:03:30	ga_s2am_ard_3-2-1_52KHV_2024-04-05_final
2024-04-05 11:03:32	ga_s2am_ard_3-2-1_52KEA_2024-04-05_final
2024-04-05 11:03:39	ga_s2am_ard_3-2-1_52KGV_2024-04-05_final
2024-04-05 11:03:43	ga_s2am_ard_3-2-1_52KFV_2024-04-05_final
2024-04-05 11:03:46	ga_s2am_ard_3-2-1_52KEV_2024-04-05_final
2024-04-05 11:03:51	ga_s2am_ard_3-2-1_52KDV_2024-04-05_final
2024-04-05 11:03:53	ga_s2am_ard_3-2-1_52KGU_2024-04-05_final
2024-04-05 11:03:57	ga_s2am_ard_3-2-1_52KFU_2024-04-05_final
2024-04-05 11:04:18	ga_s2am_ard_3-2-1_52JDT_2024-04-05_final
2024-04-05 11:04:40	ga_s2am_ard_3-2-1_52JFR_2024-04-05_final
2024-04-05 11:05:10	ga_s2am_ard_3-2-1_52JFP_2024-04-05_final
2024-04-05 11:05:31	ga_s2am_ard_3-2-1_52JDN_2024-04-05_final
2024-04-05 11:05:35	ga_s2am_ard_3-2-1_52JCN_2024-04-05_final
2024-04-05 11:05:36	ga_s2am_ard_3-2-1_52JFM_2024-04-05_final
2024-04-05 11:05:42	ga_s2am_ard_3-2-1_52JEM_2024-04-05_final
2024-04-05 11:05:46	ga_s2am_ard_3-2-1_52JDM_2024-04-05_final
2024-04-05 11:05:49	ga_s2am_ard_3-2-1_52JCM_2024-04-05_final
2024-04-05 11:05:56	ga_s2am_ard_3-2-1_52JBM_2024-04-05_final
2024-04-05 11:05:56	ga_s2am_ard_3-2-1_52JEL_2024-04-05_final
2024-04-05 11:06:00	ga_s2am_ard_3-2-1_52JDL_2024-04-05_final
2024-04-05 11:06:03	ga_s2am_ard_3-2-1_52JCL_2024-04-05_final
2024-04-05 11:06:06	ga_s2am_ard_3-2-1_52JBL_2024-04-05_final
2024-04-05 11:06:07	ga_s2am_ard_3-2-1_52HEK_2024-04-05_final
2024-04-05 11:06:09	ga_s2am_ard_3-2-1_52HDK_2024-04-05_final
2024-04-05 11:06:10	ga_s2am_ard_3-2-1_52JCL_2024-04-05_final
2024-04-05 11:06:11	ga_s2am_ard_3-2-1_52HCK_2024-04-05_final
2024-04-05 11:06:11	ga_s2am_ard_3-2-1_52HBK_2024-04-05_final
2024-04-05 11:06:12	ga_s2am_ard_3-2-1_52JBL_2024-04-05_final
2024-04-05 11:06:14	ga_s2am_ard_3-2-1_52HEK_2024-04-05_final
2024-04-05 11:06:16	ga_s2am_ard_3-2-1_52HDK_2024-04-05_final
2024-04-05 11:06:18	ga_s2am_ard_3-2-1_52HCK_2024-04-05_final
2024-04-05 11:06:21	ga_s2am_ard_3-2-1_52HBK_2024-04-05_final
2024-04-05 11:06:25	ga_s2am_ard_3-2-1_52HEJ_2024-04-05_nrt
2024-04-05 11:06:27	ga_s2am_ard_3-2-1_52HDJ_2024-04-05_nrt
2024-04-05 11:06:29	ga_s2am_ard_3-2-1_52HCJ_2024-04-05_nrt
2024-04-05 11:06:30	ga_s2am_ard_3-2-1_52HBJ_2024-04-05_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

All years