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
2024-01-04 12:05:11	ga_s2am_ard_3-2-1_49JGL_2024-01-04_final
2024-01-04 12:05:16	ga_s2am_ard_3-2-1_49JFL_2024-01-04_final
2024-01-04 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2024-01-04_final
2024-01-04 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2024-01-04_final
2024-01-04 12:05:26	ga_s2am_ard_3-2-1_49JGK_2024-01-04_final
2024-01-04 12:05:29	ga_s2am_ard_3-2-1_49JFK_2024-01-04_nrt
2024-01-04 12:05:34	ga_s2am_ard_3-2-1_50JLP_2024-01-04_final
2024-01-04 12:05:37	ga_s2am_ard_3-2-1_50JKP_2024-01-04_final
2024-01-04 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2024-01-04_final
2024-01-04 12:05:44	ga_s2am_ard_3-2-1_49JFJ_2024-01-04_nrt
2024-01-04 12:05:48	ga_s2am_ard_3-2-1_50JLN_2024-01-04_final
2024-01-04 12:05:52	ga_s2am_ard_3-2-1_50JKN_2024-01-04_final
2024-01-04 12:05:55	ga_s2am_ard_3-2-1_49JGH_2024-01-04_final
2024-01-04 12:05:59	ga_s2am_ard_3-2-1_49JFH_2024-01-04_nrt
2024-01-04 12:06:01	ga_s2am_ard_3-2-1_50JLM_2024-01-04_final
2024-01-04 12:06:06	ga_s2am_ard_3-2-1_50JKM_2024-01-04_final
2024-01-04 12:06:09	ga_s2am_ard_3-2-1_49JGG_2024-01-04_nrt
2024-01-04 12:06:11	ga_s2am_ard_3-2-1_50JLL_2024-01-04_final
2024-01-04 12:06:13	ga_s2am_ard_3-2-1_49JFG_2024-01-04_nrt
2024-01-04 12:06:19	ga_s2am_ard_3-2-1_49JGF_2024-01-04_nrt
2024-01-04 12:06:21	ga_s2am_ard_3-2-1_49JFF_2024-01-04_nrt
2024-01-05 09:49:33	ga_s2am_ard_3-2-1_56LMP_2024-01-05_nrt
2024-01-05 09:49:37	ga_s2am_ard_3-2-1_56LLP_2024-01-05_nrt
2024-01-05 09:49:40	ga_s2am_ard_3-2-1_56LKP_2024-01-05_nrt
2024-01-05 09:49:42	ga_s2am_ard_3-2-1_55LHJ_2024-01-05_nrt
2024-01-05 09:49:45	ga_s2am_ard_3-2-1_56LMN_2024-01-05_nrt
2024-01-05 09:49:46	ga_s2am_ard_3-2-1_55LGJ_2024-01-05_nrt
2024-01-05 09:49:51	ga_s2am_ard_3-2-1_56LLN_2024-01-05_nrt
2024-01-05 09:49:54	ga_s2am_ard_3-2-1_56LKN_2024-01-05_nrt
2024-01-05 09:49:55	ga_s2am_ard_3-2-1_55LHH_2024-01-05_nrt
2024-01-05 09:49:55	ga_s2am_ard_3-2-1_56LMM_2024-01-05_nrt
2024-01-05 09:49:56	ga_s2am_ard_3-2-1_55LGH_2024-01-05_nrt
2024-01-05 09:49:59	ga_s2am_ard_3-2-1_56LLM_2024-01-05_nrt
2024-01-05 09:50:01	ga_s2am_ard_3-2-1_56LKM_2024-01-05_nrt
2024-01-05 09:50:01	ga_s2am_ard_3-2-1_55LHG_2024-01-05_nrt
2024-01-05 09:50:56	ga_s2am_ard_3-2-1_56LLJ_2024-01-05_nrt
2024-01-05 09:50:58	ga_s2am_ard_3-2-1_56LKJ_2024-01-05_nrt
2024-01-05 09:50:58	ga_s2am_ard_3-2-1_55LHD_2024-01-05_nrt
2024-01-05 09:51:00	ga_s2am_ard_3-2-1_55LGD_2024-01-05_nrt
2024-01-05 09:51:00	ga_s2am_ard_3-2-1_56LLH_2024-01-05_nrt
2024-01-05 09:51:02	ga_s2am_ard_3-2-1_55LFD_2024-01-05_nrt
2024-01-05 09:51:30	ga_s2am_ard_3-2-1_55KFB_2024-01-05_final
2024-01-05 09:51:44	ga_s2am_ard_3-2-1_55KFA_2024-01-05_final
2024-01-05 09:51:51	ga_s2am_ard_3-2-1_56KKE_2024-01-05_nrt
2024-01-05 09:51:51	ga_s2am_ard_3-2-1_55KHV_2024-01-05_nrt
2024-01-05 09:51:55	ga_s2am_ard_3-2-1_55KGV_2024-01-05_nrt
2024-01-05 09:52:02	ga_s2am_ard_3-2-1_55KEV_2024-01-05_final
2024-01-05 09:52:04	ga_s2am_ard_3-2-1_56KKD_2024-01-05_nrt
2024-01-05 09:52:28	ga_s2am_ard_3-2-1_55KFT_2024-01-05_final
2024-01-05 09:52:31	ga_s2am_ard_3-2-1_55KET_2024-01-05_final
2024-01-05 09:52:31	ga_s2am_ard_3-2-1_55KHS_2024-01-05_final
2024-01-05 09:52:38	ga_s2am_ard_3-2-1_55KGS_2024-01-05_final
2024-01-05 09:52:42	ga_s2am_ard_3-2-1_55KFS_2024-01-05_final
2024-01-05 09:52:46	ga_s2am_ard_3-2-1_55KES_2024-01-05_final
2024-01-05 09:52:52	ga_s2am_ard_3-2-1_55KDS_2024-01-05_final
2024-01-05 09:52:53	ga_s2am_ard_3-2-1_55KGR_2024-01-05_final
2024-01-05 09:52:57	ga_s2am_ard_3-2-1_55KFR_2024-01-05_final
2024-01-05 09:53:00	ga_s2am_ard_3-2-1_55KER_2024-01-05_final
2024-01-05 09:53:04	ga_s2am_ard_3-2-1_55KDR_2024-01-05_final
2024-01-05 09:53:08	ga_s2am_ard_3-2-1_55KGQ_2024-01-05_final
2024-01-05 09:53:11	ga_s2am_ard_3-2-1_55KFQ_2024-01-05_final
2024-01-05 09:53:15	ga_s2am_ard_3-2-1_55KEQ_2024-01-05_final
2024-01-05 09:53:18	ga_s2am_ard_3-2-1_55KDQ_2024-01-05_final
2024-01-05 09:53:22	ga_s2am_ard_3-2-1_55KGP_2024-01-05_final
2024-01-05 09:53:26	ga_s2am_ard_3-2-1_55KFP_2024-01-05_final
2024-01-05 09:53:29	ga_s2am_ard_3-2-1_55KEP_2024-01-05_final
2024-01-05 09:53:33	ga_s2am_ard_3-2-1_55KDP_2024-01-05_final
2024-01-05 09:53:34	ga_s2am_ard_3-2-1_55JGN_2024-01-05_final
2024-01-05 09:53:40	ga_s2am_ard_3-2-1_55JFN_2024-01-05_final
2024-01-05 09:53:44	ga_s2am_ard_3-2-1_55JEN_2024-01-05_final
2024-01-05 09:53:44	ga_s2am_ard_3-2-1_55JGM_2024-01-05_final
2024-01-05 09:53:47	ga_s2am_ard_3-2-1_55JDN_2024-01-05_final
2024-01-05 09:53:54	ga_s2am_ard_3-2-1_55JCN_2024-01-05_final
2024-01-05 09:53:54	ga_s2am_ard_3-2-1_55JFM_2024-01-05_final
2024-01-05 09:55:18	ga_s2am_ard_3-2-1_55JCG_2024-01-05_final
2024-01-05 09:55:21	ga_s2am_ard_3-2-1_55JBG_2024-01-05_final
2024-01-05 09:55:25	ga_s2am_ard_3-2-1_55JEF_2024-01-05_final
2024-01-05 09:55:29	ga_s2am_ard_3-2-1_55JDF_2024-01-05_final
2024-01-05 09:55:32	ga_s2am_ard_3-2-1_55JCF_2024-01-05_final
2024-01-05 09:55:35	ga_s2am_ard_3-2-1_55JBF_2024-01-05_final
2024-01-05 09:55:39	ga_s2am_ard_3-2-1_55HEE_2024-01-05_final
2024-01-05 09:55:43	ga_s2am_ard_3-2-1_55HDE_2024-01-05_final
2024-01-05 09:55:47	ga_s2am_ard_3-2-1_55HCE_2024-01-05_final
2024-01-05 09:55:50	ga_s2am_ard_3-2-1_55HBE_2024-01-05_final
2024-01-05 09:55:50	ga_s2am_ard_3-2-1_55HED_2024-01-05_final
2024-01-05 09:55:53	ga_s2am_ard_3-2-1_54HYK_2024-01-05_final
2024-01-05 09:55:58	ga_s2am_ard_3-2-1_55HDD_2024-01-05_final
2024-01-05 09:56:01	ga_s2am_ard_3-2-1_55HCD_2024-01-05_final
2024-01-05 09:56:05	ga_s2am_ard_3-2-1_55HBD_2024-01-05_final
2024-01-05 09:56:06	ga_s2am_ard_3-2-1_54HYJ_2024-01-05_final
2024-01-05 09:56:12	ga_s2am_ard_3-2-1_55HDC_2024-01-05_final
2024-01-05 09:56:16	ga_s2am_ard_3-2-1_55HCC_2024-01-05_final
2024-01-05 09:56:19	ga_s2am_ard_3-2-1_55HBC_2024-01-05_final
2024-01-05 09:56:21	ga_s2am_ard_3-2-1_54HYH_2024-01-05_final
2024-01-05 09:56:27	ga_s2am_ard_3-2-1_55HDB_2024-01-05_final
2024-01-05 09:56:30	ga_s2am_ard_3-2-1_55HCB_2024-01-05_final
2024-01-05 09:56:34	ga_s2am_ard_3-2-1_55HBB_2024-01-05_final
2024-01-05 09:56:35	ga_s2am_ard_3-2-1_54HYG_2024-01-05_final
2024-01-05 09:56:41	ga_s2am_ard_3-2-1_55HDA_2024-01-05_final
2024-01-05 09:56:42	ga_s2am_ard_3-2-1_54HXG_2024-01-05_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