Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-01-03 11:41:29	ga_s2am_ard_3-2-1_51LVE_2023-01-03_final.stac-item
2023-01-03 11:44:48	ga_s2am_ard_3-2-1_50JQS_2023-01-03_final.stac-item
2023-01-04 11:11:11	ga_s2am_ard_3-2-1_52LGK_2023-01-04_final.stac-item
2023-01-04 11:16:05	ga_s2am_ard_3-2-1_52JBL_2023-01-04_final.stac-item
2023-01-07 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2023-01-07_final.stac-item
2023-01-09 10:25:16	ga_s2am_ard_3-2-1_54JTN_2023-01-09_final.stac-item
2023-01-10 09:51:28	ga_s2am_ard_3-2-1_55KGB_2023-01-10_final.stac-item
2023-01-10 09:51:32	ga_s2am_ard_3-2-1_55KFB_2023-01-10_final.stac-item
2023-01-10 09:52:18	ga_s2am_ard_3-2-1_55KEU_2023-01-10_final.stac-item
2023-01-10 09:52:26	ga_s2am_ard_3-2-1_55KGT_2023-01-10_final.stac-item
2023-01-10 09:52:33	ga_s2am_ard_3-2-1_55KET_2023-01-10_final.stac-item
2023-01-10 09:52:33	ga_s2am_ard_3-2-1_55KHS_2023-01-10_final.stac-item
2023-01-10 09:53:49	ga_s2am_ard_3-2-1_55JDN_2023-01-10_final.stac-item
2023-01-10 09:54:07	ga_s2am_ard_3-2-1_55JCM_2023-01-10_final.stac-item
2023-01-10 09:54:14	ga_s2am_ard_3-2-1_55JEL_2023-01-10_final.stac-item
2023-01-10 09:54:17	ga_s2am_ard_3-2-1_55JCL_2023-01-10_final.stac-item
2023-01-10 09:54:24	ga_s2am_ard_3-2-1_55JCL_2023-01-10_final.stac-item
2023-01-10 09:54:29	ga_s2am_ard_3-2-1_55JEK_2023-01-10_final.stac-item
2023-01-10 09:54:47	ga_s2am_ard_3-2-1_55JDJ_2023-01-10_final.stac-item
2023-01-10 09:55:16	ga_s2am_ard_3-2-1_55JDG_2023-01-10_final.stac-item
2023-01-10 09:55:37	ga_s2am_ard_3-2-1_55JBF_2023-01-10_final.stac-item
2023-01-10 09:55:52	ga_s2am_ard_3-2-1_55HED_2023-01-10_final.stac-item
2023-01-10 09:56:21	ga_s2am_ard_3-2-1_55HBC_2023-01-10_final.stac-item
2023-01-10 09:56:23	ga_s2am_ard_3-2-1_54HYH_2023-01-10_final.stac-item
2023-01-10 09:56:36	ga_s2am_ard_3-2-1_55HBB_2023-01-10_final.stac-item
2023-01-10 09:57:07	ga_s2am_ard_3-2-1_55HDU_2023-01-10_final.stac-item
2023-01-10 09:57:16	ga_s2am_ard_3-2-1_55HCU_2023-01-10_final.stac-item
2023-01-10 09:57:34	ga_s2am_ard_3-2-1_55HBT_2023-01-10_final.stac-item
2023-01-10 09:57:39	ga_s2am_ard_3-2-1_54HXC_2023-01-10_final.stac-item
2023-01-10 09:57:49	ga_s2am_ard_3-2-1_54HYB_2023-01-10_final.stac-item
2023-01-10 09:58:22	ga_s2am_ard_3-2-1_55GCP_2023-01-10_final.stac-item
2023-01-10 11:31:29	ga_s2am_ard_3-2-1_51LWE_2023-01-10_final.stac-item
2023-01-10 11:31:33	ga_s2am_ard_3-2-1_51LZD_2023-01-10_final.stac-item
2023-01-10 11:32:27	ga_s2am_ard_3-2-1_51KWA_2023-01-10_final.stac-item
2023-01-10 11:32:38	ga_s2am_ard_3-2-1_51KXV_2023-01-10_final.stac-item
2023-01-10 11:32:42	ga_s2am_ard_3-2-1_51KWV_2023-01-10_final.stac-item
2023-01-10 11:32:56	ga_s2am_ard_3-2-1_51KWU_2023-01-10_final.stac-item
2023-01-10 11:33:14	ga_s2am_ard_3-2-1_51KVT_2023-01-10_final.stac-item
2023-01-10 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2023-01-10_final.stac-item
2023-01-10 11:34:30	ga_s2am_ard_3-2-1_51JUN_2023-01-10_final.stac-item
2023-01-10 11:34:34	ga_s2am_ard_3-2-1_51JTN_2023-01-10_final.stac-item
2023-01-10 11:35:10	ga_s2am_ard_3-2-1_51JVK_2023-01-10_final.stac-item
2023-01-10 11:35:28	ga_s2am_ard_3-2-1_51JUJ_2023-01-10_final.stac-item
2023-01-10 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-01-10_final.stac-item
2023-01-10 11:35:46	ga_s2am_ard_3-2-1_51JTH_2023-01-10_final.stac-item
2023-01-10 11:36:03	ga_s2am_ard_3-2-1_50JQM_2023-01-10_final.stac-item
2023-01-10 11:36:09	ga_s2am_ard_3-2-1_51JVF_2023-01-10_final.stac-item
2023-01-10 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-10_final.stac-item
2023-01-11 09:26:59	ga_s2am_ard_3-2-1_55HGV_2023-01-10_final.stac-item
2023-01-11 09:27:59	ga_s2am_ard_3-2-1_55GFR_2023-01-10_final.stac-item
2023-01-11 09:28:42	ga_s2am_ard_3-2-1_55GFN_2023-01-10_final.stac-item
2023-01-11 09:28:50	ga_s2am_ard_3-2-1_55GFN_2023-01-10_final.stac-item
2023-01-11 11:00:35	ga_s2am_ard_3-2-1_52LGN_2023-01-11_final.stac-item
2023-01-11 11:00:43	ga_s2am_ard_3-2-1_52LHM_2023-01-11_final.stac-item
2023-01-11 11:01:11	ga_s2am_ard_3-2-1_53LKE_2023-01-11_final.stac-item
2023-01-11 11:01:30	ga_s2am_ard_3-2-1_52LGJ_2023-01-11_final.stac-item
2023-01-11 11:01:37	ga_s2am_ard_3-2-1_52LFJ_2023-01-11_final.stac-item
2023-01-11 11:01:40	ga_s2am_ard_3-2-1_53LKC_2023-01-11_final.stac-item
2023-01-11 11:01:41	ga_s2am_ard_3-2-1_52LHH_2023-01-11_final.stac-item
2023-01-11 11:01:48	ga_s2am_ard_3-2-1_52LFH_2023-01-11_final.stac-item
2023-01-11 11:01:55	ga_s2am_ard_3-2-1_52KHG_2023-01-11_final.stac-item
2023-01-11 11:01:59	ga_s2am_ard_3-2-1_52KGG_2023-01-11_final.stac-item
2023-01-11 11:02:01	ga_s2am_ard_3-2-1_53KLA_2023-01-11_final.stac-item
2023-01-11 11:02:08	ga_s2am_ard_3-2-1_53KKA_2023-01-11_final.stac-item
2023-01-11 11:02:10	ga_s2am_ard_3-2-1_52KHF_2023-01-11_final.stac-item
2023-01-11 11:02:16	ga_s2am_ard_3-2-1_52KFF_2023-01-11_final.stac-item
2023-01-11 11:02:31	ga_s2am_ard_3-2-1_52KFE_2023-01-11_final.stac-item
2023-01-11 11:02:37	ga_s2am_ard_3-2-1_52KFE_2023-01-11_final.stac-item
2023-01-11 11:02:50	ga_s2am_ard_3-2-1_52KED_2023-01-11_final.stac-item
2023-01-11 11:02:52	ga_s2am_ard_3-2-1_53KKT_2023-01-11_final.stac-item
2023-01-11 11:02:53	ga_s2am_ard_3-2-1_52KHC_2023-01-11_final.stac-item
2023-01-11 11:02:57	ga_s2am_ard_3-2-1_52KGC_2023-01-11_final.stac-item
2023-01-11 11:03:00	ga_s2am_ard_3-2-1_52KFC_2023-01-11_final.stac-item
2023-01-11 11:03:07	ga_s2am_ard_3-2-1_52KHB_2023-01-11_final.stac-item
2023-01-11 11:03:52	ga_s2am_ard_3-2-1_52KDV_2023-01-11_final.stac-item
2023-01-11 11:03:54	ga_s2am_ard_3-2-1_52KGU_2023-01-11_final.stac-item
2023-01-11 11:04:01	ga_s2am_ard_3-2-1_52KEU_2023-01-11_final.stac-item
2023-01-11 11:04:13	ga_s2am_ard_3-2-1_52JFT_2023-01-11_final.stac-item
2023-01-11 11:04:16	ga_s2am_ard_3-2-1_52JET_2023-01-11_final.stac-item
2023-01-11 11:04:22	ga_s2am_ard_3-2-1_52JGS_2023-01-11_final.stac-item
2023-01-11 11:04:27	ga_s2am_ard_3-2-1_52JFS_2023-01-11_final.stac-item
2023-01-11 11:04:34	ga_s2am_ard_3-2-1_52JGR_2023-01-11_final.stac-item
2023-01-11 11:05:06	ga_s2am_ard_3-2-1_52JCQ_2023-01-11_final.stac-item
2023-01-11 11:05:11	ga_s2am_ard_3-2-1_52JFP_2023-01-11_final.stac-item
2023-01-11 11:05:21	ga_s2am_ard_3-2-1_52JCP_2023-01-11_final.stac-item
2023-01-11 11:05:24	ga_s2am_ard_3-2-1_52JFN_2023-01-11_final.stac-item
2023-01-11 11:05:42	ga_s2am_ard_3-2-1_52JEM_2023-01-11_final.stac-item
2023-01-11 11:05:49	ga_s2am_ard_3-2-1_52JEM_2023-01-11_final.stac-item
2023-01-11 11:05:51	ga_s2am_ard_3-2-1_52JDM_2023-01-11_final.stac-item
2023-01-11 11:05:56	ga_s2am_ard_3-2-1_52JBM_2023-01-11_final.stac-item
2023-01-11 11:06:01	ga_s2am_ard_3-2-1_52JDL_2023-01-11_final.stac-item
2023-01-11 11:06:08	ga_s2am_ard_3-2-1_52JBL_2023-01-11_final.stac-item
2023-01-21 11:00:03	ga_s2am_ard_3-2-1_53LMJ_2023-01-21_nrt.stac-item
2023-01-21 11:06:32	ga_s2am_ard_3-2-1_52HEH_2023-01-21_nrt.stac-item
2023-01-22 10:30:34	ga_s2am_ard_3-2-1_54LTM_2023-01-22_nrt.stac-item
2023-01-22 10:30:46	ga_s2am_ard_3-2-1_54LTL_2023-01-22_nrt.stac-item
2023-01-22 10:31:15	ga_s2am_ard_3-2-1_54LTJ_2023-01-22_nrt.stac-item
2023-01-22 10:31:30	ga_s2am_ard_3-2-1_54LTH_2023-01-22_nrt.stac-item
2023-01-22 10:36:59	ga_s2am_ard_3-2-1_53HNA_2023-01-22_nrt.stac-item
2023-01-22 10:37:01	ga_s2am_ard_3-2-1_53HMA_2023-01-22_nrt.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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years