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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
2020-07-13 12:05:42	ga_s2am_ard_3-2-1_50JLP_2020-07-13_final
2020-07-13 12:05:45	ga_s2am_ard_3-2-1_50JKP_2020-07-13_final
2020-07-13 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2020-07-13_final
2020-07-13 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-07-13_final
2020-07-13 12:06:03	ga_s2am_ard_3-2-1_49JGH_2020-07-13_final.stac-item
2020-07-13 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-07-13_final
2020-07-13 12:06:14	ga_s2am_ard_3-2-1_50JKM_2020-07-13_final
2020-07-13 12:06:18	ga_s2am_ard_3-2-1_50JLL_2020-07-13_final
2020-07-14 09:51:16	ga_s2am_ard_3-2-1_55LHC_2020-07-14_final.stac-item
2020-07-14 09:51:52	ga_s2am_ard_3-2-1_55KFA_2020-07-14_final
2020-07-14 09:52:18	ga_s2am_ard_3-2-1_55KGU_2020-07-14_final
2020-07-14 09:52:24	ga_s2am_ard_3-2-1_55KEU_2020-07-14_final
2020-07-14 09:52:32	ga_s2am_ard_3-2-1_55KGT_2020-07-14_final
2020-07-14 09:52:36	ga_s2am_ard_3-2-1_55KFT_2020-07-14_final
2020-07-14 09:52:39	ga_s2am_ard_3-2-1_55KET_2020-07-14_final
2020-07-14 09:52:46	ga_s2am_ard_3-2-1_55KGS_2020-07-14_final
2020-07-14 09:52:54	ga_s2am_ard_3-2-1_55KES_2020-07-14_final
2020-07-14 09:53:16	ga_s2am_ard_3-2-1_55KGQ_2020-07-14_final
2020-07-14 09:53:30	ga_s2am_ard_3-2-1_55KGP_2020-07-14_final
2020-07-14 09:53:37	ga_s2am_ard_3-2-1_55KEP_2020-07-14_final
2020-07-14 09:54:17	ga_s2am_ard_3-2-1_55JFL_2020-07-14_final
2020-07-14 09:54:21	ga_s2am_ard_3-2-1_55JEL_2020-07-14_final
2020-07-14 09:54:24	ga_s2am_ard_3-2-1_55JDL_2020-07-14_final
2020-07-14 09:54:27	ga_s2am_ard_3-2-1_55JCL_2020-07-14_final
2020-07-14 09:54:32	ga_s2am_ard_3-2-1_55JFK_2020-07-14_final
2020-07-14 09:54:35	ga_s2am_ard_3-2-1_55JEK_2020-07-14_final
2020-07-14 09:54:39	ga_s2am_ard_3-2-1_55JDK_2020-07-14_final
2020-07-14 09:54:42	ga_s2am_ard_3-2-1_55JCK_2020-07-14_final
2020-07-14 09:54:45	ga_s2am_ard_3-2-1_55JFJ_2020-07-14_final
2020-07-14 09:54:50	ga_s2am_ard_3-2-1_55JEJ_2020-07-14_final
2020-07-14 09:54:53	ga_s2am_ard_3-2-1_55JDJ_2020-07-14_final
2020-07-14 09:54:57	ga_s2am_ard_3-2-1_55JCJ_2020-07-14_final
2020-07-14 09:55:04	ga_s2am_ard_3-2-1_55JEH_2020-07-14_final
2020-07-14 09:55:08	ga_s2am_ard_3-2-1_55JDH_2020-07-14_final
2020-07-14 09:55:19	ga_s2am_ard_3-2-1_55JEG_2020-07-14_final
2020-07-14 09:55:22	ga_s2am_ard_3-2-1_55JDG_2020-07-14_final
2020-07-14 09:55:26	ga_s2am_ard_3-2-1_55JCG_2020-07-14_final
2020-07-14 09:55:29	ga_s2am_ard_3-2-1_55JBG_2020-07-14_final
2020-07-14 09:55:40	ga_s2am_ard_3-2-1_55JCF_2020-07-14_final
2020-07-14 09:55:43	ga_s2am_ard_3-2-1_55JBF_2020-07-14_final
2020-07-14 09:55:47	ga_s2am_ard_3-2-1_55HEE_2020-07-14_final
2020-07-14 09:55:51	ga_s2am_ard_3-2-1_55HDE_2020-07-14_final
2020-07-14 09:56:27	ga_s2am_ard_3-2-1_55HBC_2020-07-14_final
2020-07-14 09:56:29	ga_s2am_ard_3-2-1_54HYH_2020-07-14_final
2020-07-14 09:56:49	ga_s2am_ard_3-2-1_55HDA_2020-07-14_final
2020-07-14 09:56:53	ga_s2am_ard_3-2-1_55HCA_2020-07-14_final
2020-07-14 09:57:02	ga_s2am_ard_3-2-1_54HXF_2020-07-14_final
2020-07-14 09:57:03	ga_s2am_ard_3-2-1_55HDV_2020-07-14_final
2020-07-14 09:57:08	ga_s2am_ard_3-2-1_55HCV_2020-07-14_final
2020-07-14 09:57:11	ga_s2am_ard_3-2-1_55HBV_2020-07-14_final
2020-07-14 09:57:12	ga_s2am_ard_3-2-1_54HYE_2020-07-14_final
2020-07-14 09:57:13	ga_s2am_ard_3-2-1_55HDU_2020-07-14_final
2020-07-14 09:57:16	ga_s2am_ard_3-2-1_54HXE_2020-07-14_final
2020-07-14 09:57:51	ga_s2am_ard_3-2-1_55HCS_2020-07-14_final
2020-07-14 09:57:55	ga_s2am_ard_3-2-1_55HBS_2020-07-14_final
2020-07-14 09:57:55	ga_s2am_ard_3-2-1_54HYB_2020-07-14_final
2020-07-14 09:58:05	ga_s2am_ard_3-2-1_55GCR_2020-07-14_final
2020-07-14 09:58:09	ga_s2am_ard_3-2-1_55GBR_2020-07-14_final
2020-07-14 09:58:10	ga_s2am_ard_3-2-1_54GYA_2020-07-14_final
2020-07-14 09:58:18	ga_s2am_ard_3-2-1_55GCQ_2020-07-14_final
2020-07-14 09:58:24	ga_s2am_ard_3-2-1_55GBQ_2020-07-14_final.stac-item
2020-07-14 09:58:24	ga_s2am_ard_3-2-1_54GYV_2020-07-14_final.stac-item
2020-07-14 09:58:28	ga_s2am_ard_3-2-1_55GCP_2020-07-14_final
2020-07-14 11:31:35	ga_s2am_ard_3-2-1_51LWE_2020-07-14_final
2020-07-14 11:31:53	ga_s2am_ard_3-2-1_51LZC_2020-07-14_final
2020-07-14 11:32:55	ga_s2am_ard_3-2-1_51KYU_2020-07-14_final
2020-07-14 11:32:59	ga_s2am_ard_3-2-1_51KXU_2020-07-14_final
2020-07-14 11:33:07	ga_s2am_ard_3-2-1_51KYT_2020-07-14_final
2020-07-14 11:33:13	ga_s2am_ard_3-2-1_51KXT_2020-07-14_final
2020-07-14 11:33:17	ga_s2am_ard_3-2-1_51KWT_2020-07-14_final
2020-07-14 11:33:20	ga_s2am_ard_3-2-1_51KVT_2020-07-14_final
2020-07-14 11:33:27	ga_s2am_ard_3-2-1_51KUT_2020-07-14_final
2020-07-14 11:34:48	ga_s2am_ard_3-2-1_51JTM_2020-07-14_final
2020-07-14 11:34:55	ga_s2am_ard_3-2-1_50JRS_2020-07-14_final
2020-07-14 11:34:55	ga_s2am_ard_3-2-1_51JTM_2020-07-14_final
2020-07-14 11:34:59	ga_s2am_ard_3-2-1_51JWL_2020-07-14_final
2020-07-14 11:35:02	ga_s2am_ard_3-2-1_51JVL_2020-07-14_final
2020-07-14 11:35:06	ga_s2am_ard_3-2-1_51JUL_2020-07-14_final
2020-07-14 11:35:08	ga_s2am_ard_3-2-1_51JTL_2020-07-14_final
2020-07-14 11:35:12	ga_s2am_ard_3-2-1_51JWK_2020-07-14_final
2020-07-14 11:35:17	ga_s2am_ard_3-2-1_51JVK_2020-07-14_final
2020-07-14 11:35:20	ga_s2am_ard_3-2-1_51JUK_2020-07-14_final
2020-07-14 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2020-07-14_final
2020-07-14 11:35:31	ga_s2am_ard_3-2-1_51JVJ_2020-07-14_final
2020-07-14 11:35:35	ga_s2am_ard_3-2-1_51JUJ_2020-07-14_final
2020-07-14 11:35:38	ga_s2am_ard_3-2-1_51JTJ_2020-07-14_final
2020-07-14 11:35:42	ga_s2am_ard_3-2-1_50JQP_2020-07-14_final
2020-07-14 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-07-14_final
2020-07-14 11:35:52	ga_s2am_ard_3-2-1_51JTH_2020-07-14_final
2020-07-14 11:35:55	ga_s2am_ard_3-2-1_50JQN_2020-07-14_final
2020-07-14 11:36:00	ga_s2am_ard_3-2-1_51JVG_2020-07-14_final
2020-07-14 11:36:04	ga_s2am_ard_3-2-1_51JUG_2020-07-14_final
2020-07-14 11:36:07	ga_s2am_ard_3-2-1_51JTG_2020-07-14_final
2020-07-14 11:36:10	ga_s2am_ard_3-2-1_50JQM_2020-07-14_final
2020-07-14 11:36:15	ga_s2am_ard_3-2-1_51JVF_2020-07-14_final
2020-07-14 11:36:18	ga_s2am_ard_3-2-1_51JUF_2020-07-14_final
2020-07-14 11:36:31	ga_s2am_ard_3-2-1_50JPL_2020-07-14_final
2020-07-14 11:36:36	ga_s2am_ard_3-2-1_51HTE_2020-07-14_final
2020-07-14 11:36:42	ga_s2am_ard_3-2-1_50HPK_2020-07-14_final
2020-07-14 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-07-14_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