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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
2020-12-30 12:04:57	ga_s2am_ard_3-2-1_49JHM_2020-12-30_final
2020-12-30 12:04:57	ga_s2am_ard_3-2-1_50JKS_2020-12-30_final
2020-12-30 12:04:58	ga_s2am_ard_3-2-1_50JMR_2020-12-30_final
2020-12-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-12-30_final
2020-12-30 12:05:08	ga_s2am_ard_3-2-1_50JLR_2020-12-30_final
2020-12-30 12:05:08	ga_s2am_ard_3-2-1_49JFM_2020-12-30_final
2020-12-30 12:05:12	ga_s2am_ard_3-2-1_50JKR_2020-12-30_final
2020-12-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-12-30_final
2020-12-30 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2020-12-30_final
2020-12-30 12:05:29	ga_s2am_ard_3-2-1_49JGK_2020-12-30_final
2020-12-30 12:05:37	ga_s2am_ard_3-2-1_50JLP_2020-12-30_final
2020-12-30 12:05:55	ga_s2am_ard_3-2-1_50JKN_2020-12-30_final
2020-12-30 12:06:04	ga_s2am_ard_3-2-1_50JLM_2020-12-30_final
2020-12-30 12:06:10	ga_s2am_ard_3-2-1_50JKM_2020-12-30_final
2020-12-30 12:06:14	ga_s2am_ard_3-2-1_50JLL_2020-12-30_final
2020-12-31 09:51:12	ga_s2am_ard_3-2-1_55LHC_2020-12-31_final.stac-item
2020-12-31 09:51:15	ga_s2am_ard_3-2-1_55LGC_2020-12-31_final
2020-12-31 09:51:19	ga_s2am_ard_3-2-1_55LFC_2020-12-31_final
2020-12-31 09:51:25	ga_s2am_ard_3-2-1_56KKG_2020-12-31_final.stac-item
2020-12-31 09:51:26	ga_s2am_ard_3-2-1_55KHB_2020-12-31_final.stac-item
2020-12-31 09:51:33	ga_s2am_ard_3-2-1_55KFB_2020-12-31_final
2020-12-31 09:51:40	ga_s2am_ard_3-2-1_56KKF_2020-12-31_final
2020-12-31 09:51:48	ga_s2am_ard_3-2-1_55KFA_2020-12-31_final
2020-12-31 09:52:06	ga_s2am_ard_3-2-1_55KEV_2020-12-31_final
2020-12-31 09:52:13	ga_s2am_ard_3-2-1_55KGU_2020-12-31_final
2020-12-31 09:52:17	ga_s2am_ard_3-2-1_55KFU_2020-12-31_final
2020-12-31 09:52:20	ga_s2am_ard_3-2-1_55KEU_2020-12-31_final
2020-12-31 09:52:31	ga_s2am_ard_3-2-1_55KFT_2020-12-31_final
2020-12-31 09:52:35	ga_s2am_ard_3-2-1_55KET_2020-12-31_final
2020-12-31 09:52:35	ga_s2am_ard_3-2-1_55KHS_2020-12-31_final
2020-12-31 09:52:42	ga_s2am_ard_3-2-1_55KGS_2020-12-31_final
2020-12-31 09:52:46	ga_s2am_ard_3-2-1_55KFS_2020-12-31_final
2020-12-31 09:52:49	ga_s2am_ard_3-2-1_55KES_2020-12-31_final
2020-12-31 09:52:55	ga_s2am_ard_3-2-1_55KDS_2020-12-31_final
2020-12-31 09:52:56	ga_s2am_ard_3-2-1_55KGR_2020-12-31_final
2020-12-31 09:53:00	ga_s2am_ard_3-2-1_55KFR_2020-12-31_final
2020-12-31 09:53:11	ga_s2am_ard_3-2-1_55KGQ_2020-12-31_final
2020-12-31 09:53:15	ga_s2am_ard_3-2-1_55KFQ_2020-12-31_final
2020-12-31 09:53:18	ga_s2am_ard_3-2-1_55KEQ_2020-12-31_final
2020-12-31 09:53:21	ga_s2am_ard_3-2-1_55KDQ_2020-12-31_final
2020-12-31 09:53:25	ga_s2am_ard_3-2-1_55KGP_2020-12-31_final
2020-12-31 09:53:29	ga_s2am_ard_3-2-1_55KFP_2020-12-31_final
2020-12-31 09:53:33	ga_s2am_ard_3-2-1_55KEP_2020-12-31_final
2020-12-31 09:53:36	ga_s2am_ard_3-2-1_55KDP_2020-12-31_final
2020-12-31 09:53:38	ga_s2am_ard_3-2-1_55JGN_2020-12-31_final
2020-12-31 09:53:44	ga_s2am_ard_3-2-1_55JFN_2020-12-31_final
2020-12-31 09:53:47	ga_s2am_ard_3-2-1_55JEN_2020-12-31_final
2020-12-31 09:53:51	ga_s2am_ard_3-2-1_55JDN_2020-12-31_final
2020-12-31 09:53:58	ga_s2am_ard_3-2-1_55JCN_2020-12-31_final
2020-12-31 09:53:58	ga_s2am_ard_3-2-1_55JFM_2020-12-31_final
2020-12-31 09:54:09	ga_s2am_ard_3-2-1_55JCM_2020-12-31_final
2020-12-31 09:54:13	ga_s2am_ard_3-2-1_55JFL_2020-12-31_final
2020-12-31 09:54:16	ga_s2am_ard_3-2-1_55JEL_2020-12-31_final
2020-12-31 09:54:20	ga_s2am_ard_3-2-1_55JDL_2020-12-31_final
2020-12-31 09:54:23	ga_s2am_ard_3-2-1_55JCL_2020-12-31_final
2020-12-31 09:54:31	ga_s2am_ard_3-2-1_55JEK_2020-12-31_final
2020-12-31 09:54:34	ga_s2am_ard_3-2-1_55JDK_2020-12-31_final
2020-12-31 09:54:38	ga_s2am_ard_3-2-1_55JCK_2020-12-31_final
2020-12-31 09:54:40	ga_s2am_ard_3-2-1_55JFJ_2020-12-31_final
2020-12-31 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2020-12-31_final
2020-12-31 09:54:49	ga_s2am_ard_3-2-1_55JDJ_2020-12-31_final
2020-12-31 09:55:00	ga_s2am_ard_3-2-1_55JEH_2020-12-31_final
2020-12-31 09:55:04	ga_s2am_ard_3-2-1_55JDH_2020-12-31_final
2020-12-31 09:55:11	ga_s2am_ard_3-2-1_55JBH_2020-12-31_final
2020-12-31 09:55:14	ga_s2am_ard_3-2-1_55JEG_2020-12-31_final
2020-12-31 09:55:18	ga_s2am_ard_3-2-1_55JDG_2020-12-31_final
2020-12-31 09:55:21	ga_s2am_ard_3-2-1_55JCG_2020-12-31_final
2020-12-31 09:55:24	ga_s2am_ard_3-2-1_55JBG_2020-12-31_final
2020-12-31 09:55:29	ga_s2am_ard_3-2-1_55JEF_2020-12-31_final
2020-12-31 09:55:33	ga_s2am_ard_3-2-1_55JDF_2020-12-31_final
2020-12-31 09:55:36	ga_s2am_ard_3-2-1_55JCF_2020-12-31_final
2020-12-31 09:55:39	ga_s2am_ard_3-2-1_55JBF_2020-12-31_final
2020-12-31 09:55:43	ga_s2am_ard_3-2-1_55HEE_2020-12-31_final
2020-12-31 09:55:47	ga_s2am_ard_3-2-1_55HDE_2020-12-31_final
2020-12-31 09:55:50	ga_s2am_ard_3-2-1_55HCE_2020-12-31_final
2020-12-31 09:56:05	ga_s2am_ard_3-2-1_55HCD_2020-12-31_final
2020-12-31 09:56:23	ga_s2am_ard_3-2-1_55HBC_2020-12-31_final
2020-12-31 09:56:25	ga_s2am_ard_3-2-1_54HYH_2020-12-31_final
2020-12-31 09:56:37	ga_s2am_ard_3-2-1_55HBB_2020-12-31_final
2020-12-31 09:56:39	ga_s2am_ard_3-2-1_54HYG_2020-12-31_final
2020-12-31 09:56:45	ga_s2am_ard_3-2-1_55HDA_2020-12-31_final
2020-12-31 09:56:49	ga_s2am_ard_3-2-1_55HCA_2020-12-31_final
2020-12-31 09:56:52	ga_s2am_ard_3-2-1_55HBA_2020-12-31_final
2020-12-31 09:56:53	ga_s2am_ard_3-2-1_54HYF_2020-12-31_final
2020-12-31 09:56:57	ga_s2am_ard_3-2-1_54HXF_2020-12-31_final
2020-12-31 09:56:58	ga_s2am_ard_3-2-1_55HDV_2020-12-31_final
2020-12-31 09:57:03	ga_s2am_ard_3-2-1_55HCV_2020-12-31_final
2020-12-31 09:57:06	ga_s2am_ard_3-2-1_55HBV_2020-12-31_final
2020-12-31 09:57:08	ga_s2am_ard_3-2-1_54HYE_2020-12-31_final
2020-12-31 09:57:08	ga_s2am_ard_3-2-1_55HDU_2020-12-31_final
2020-12-31 09:57:11	ga_s2am_ard_3-2-1_54HXE_2020-12-31_final
2020-12-31 09:57:32	ga_s2am_ard_3-2-1_55HCT_2020-12-31_final
2020-12-31 09:57:36	ga_s2am_ard_3-2-1_55HBT_2020-12-31_final
2020-12-31 09:57:37	ga_s2am_ard_3-2-1_54HYC_2020-12-31_final
2020-12-31 09:57:40	ga_s2am_ard_3-2-1_54HXC_2020-12-31_final
2020-12-31 09:57:47	ga_s2am_ard_3-2-1_55HCS_2020-12-31_final
2020-12-31 09:57:50	ga_s2am_ard_3-2-1_55HBS_2020-12-31_final
2020-12-31 09:57:51	ga_s2am_ard_3-2-1_54HYB_2020-12-31_final
2020-12-31 09:58:01	ga_s2am_ard_3-2-1_55GCR_2020-12-31_final
2020-12-31 09:58:05	ga_s2am_ard_3-2-1_55GBR_2020-12-31_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years