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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
2020-03-12 11:55:09	ga_s2am_ard_3-2-1_50JLR_2020-03-12_final
2020-03-12 11:55:17	ga_s2am_ard_3-2-1_50JNQ_2020-03-12_final
2020-03-12 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2020-03-12_final
2020-03-12 11:55:31	ga_s2am_ard_3-2-1_50JNP_2020-03-12_final
2020-03-12 11:55:35	ga_s2am_ard_3-2-1_50JMP_2020-03-12_final
2020-03-12 11:55:56	ga_s2am_ard_3-2-1_50JKN_2020-03-12_final
2020-03-12 11:56:10	ga_s2am_ard_3-2-1_50JKM_2020-03-12_final
2020-03-12 11:56:14	ga_s2am_ard_3-2-1_50JNL_2020-03-12_final
2020-03-12 11:56:18	ga_s2am_ard_3-2-1_50JML_2020-03-12_final
2020-03-13 09:41:26	ga_s2am_ard_3-2-1_56KKG_2020-03-13_final.stac-item
2020-03-13 09:41:28	ga_s2am_ard_3-2-1_55KHB_2020-03-13_final.stac-item
2020-03-13 09:41:38	ga_s2am_ard_3-2-1_56KLF_2020-03-13_final
2020-03-13 09:41:41	ga_s2am_ard_3-2-1_56KKF_2020-03-13_final
2020-03-13 09:42:03	ga_s2am_ard_3-2-1_56KMD_2020-03-13_final.stac-item
2020-03-13 09:42:32	ga_s2am_ard_3-2-1_56KMB_2020-03-13_final.stac-item
2020-03-13 09:42:39	ga_s2am_ard_3-2-1_56KKB_2020-03-13_final
2020-03-13 09:42:43	ga_s2am_ard_3-2-1_55KGS_2020-03-13_final
2020-03-13 09:42:50	ga_s2am_ard_3-2-1_56KLA_2020-03-13_final
2020-03-13 09:42:53	ga_s2am_ard_3-2-1_56KKA_2020-03-13_final
2020-03-13 09:42:57	ga_s2am_ard_3-2-1_55KGR_2020-03-13_final
2020-03-13 09:43:05	ga_s2am_ard_3-2-1_56KLV_2020-03-13_final
2020-03-13 09:43:19	ga_s2am_ard_3-2-1_56KLU_2020-03-13_final
2020-03-13 09:43:23	ga_s2am_ard_3-2-1_56KKU_2020-03-13_final
2020-03-13 09:43:31	ga_s2am_ard_3-2-1_55KFP_2020-03-13_final
2020-03-13 09:43:34	ga_s2am_ard_3-2-1_56JLT_2020-03-13_final
2020-03-13 09:43:37	ga_s2am_ard_3-2-1_56JKT_2020-03-13_final
2020-03-13 09:43:41	ga_s2am_ard_3-2-1_55JGN_2020-03-13_final
2020-03-13 09:43:44	ga_s2am_ard_3-2-1_55JFN_2020-03-13_final
2020-03-13 09:43:48	ga_s2am_ard_3-2-1_56JLS_2020-03-13_final
2020-03-13 09:43:52	ga_s2am_ard_3-2-1_55JHM_2020-03-13_final
2020-03-13 09:43:55	ga_s2am_ard_3-2-1_55JGM_2020-03-13_final
2020-03-13 09:43:59	ga_s2am_ard_3-2-1_55JFM_2020-03-13_final
2020-03-13 09:44:02	ga_s2am_ard_3-2-1_56JLR_2020-03-13_final
2020-03-13 09:44:06	ga_s2am_ard_3-2-1_56JKR_2020-03-13_final
2020-03-13 09:44:10	ga_s2am_ard_3-2-1_55JGL_2020-03-13_final
2020-03-13 09:44:13	ga_s2am_ard_3-2-1_55JFL_2020-03-13_final
2020-03-13 09:44:32	ga_s2am_ard_3-2-1_55JEK_2020-03-13_final
2020-03-13 09:44:45	ga_s2am_ard_3-2-1_55JEJ_2020-03-13_final
2020-03-13 09:45:05	ga_s2am_ard_3-2-1_56JKM_2020-03-13_final
2020-03-13 09:45:07	ga_s2am_ard_3-2-1_55JGG_2020-03-13_final
2020-03-13 09:45:15	ga_s2am_ard_3-2-1_55JEG_2020-03-13_final
2020-03-13 09:45:22	ga_s2am_ard_3-2-1_55JDG_2020-03-13_final
2020-03-13 09:45:29	ga_s2am_ard_3-2-1_55JEF_2020-03-13_final
2020-03-13 09:45:33	ga_s2am_ard_3-2-1_55JDF_2020-03-13_final
2020-03-13 09:46:03	ga_s2am_ard_3-2-1_55HGC_2020-03-13_final
2020-03-13 09:46:52	ga_s2am_ard_3-2-1_55HFV_2020-03-13_final
2020-03-13 09:46:56	ga_s2am_ard_3-2-1_55HEV_2020-03-13_final
2020-03-13 09:47:00	ga_s2am_ard_3-2-1_55HDV_2020-03-13_final
2020-03-13 09:47:03	ga_s2am_ard_3-2-1_55HCV_2020-03-13_final
2020-03-13 09:48:18	ga_s2am_ard_3-2-1_55GEP_2020-03-13_final
2020-03-13 09:48:27	ga_s2am_ard_3-2-1_55GDP_2020-03-13_final
2020-03-13 09:48:31	ga_s2am_ard_3-2-1_55GCP_2020-03-13_final
2020-03-13 11:20:54	ga_s2am_ard_3-2-1_52LEL_2020-03-13_final.stac-item
2020-03-13 11:21:04	ga_s2am_ard_3-2-1_52LEK_2020-03-13_final.stac-item
2020-03-13 11:21:20	ga_s2am_ard_3-2-1_52LBK_2020-03-13_final
2020-03-13 11:21:22	ga_s2am_ard_3-2-1_51LZE_2020-03-13_final
2020-03-13 11:21:32	ga_s2am_ard_3-2-1_52LCJ_2020-03-13_final
2020-03-13 11:21:46	ga_s2am_ard_3-2-1_52LCH_2020-03-13_final
2020-03-13 11:22:04	ga_s2am_ard_3-2-1_52KBG_2020-03-13_final
2020-03-13 11:22:05	ga_s2am_ard_3-2-1_51KZB_2020-03-13_final
2020-03-13 11:22:08	ga_s2am_ard_3-2-1_51KYB_2020-03-13_final
2020-03-13 11:22:15	ga_s2am_ard_3-2-1_52KCF_2020-03-13_final
2020-03-13 11:22:19	ga_s2am_ard_3-2-1_52KBF_2020-03-13_final
2020-03-13 11:22:20	ga_s2am_ard_3-2-1_51KZA_2020-03-13_final
2020-03-13 11:22:23	ga_s2am_ard_3-2-1_51KYA_2020-03-13_final
2020-03-13 11:22:33	ga_s2am_ard_3-2-1_52KBE_2020-03-13_final
2020-03-13 11:22:34	ga_s2am_ard_3-2-1_51KZV_2020-03-13_final
2020-03-13 11:22:37	ga_s2am_ard_3-2-1_51KYV_2020-03-13_final
2020-03-13 11:22:48	ga_s2am_ard_3-2-1_52KBD_2020-03-13_final
2020-03-13 11:22:48	ga_s2am_ard_3-2-1_51KZU_2020-03-13_final
2020-03-13 11:22:52	ga_s2am_ard_3-2-1_51KYU_2020-03-13_final
2020-03-13 11:22:59	ga_s2am_ard_3-2-1_52KCC_2020-03-13_final
2020-03-13 11:23:03	ga_s2am_ard_3-2-1_51KZT_2020-03-13_final
2020-03-13 11:23:17	ga_s2am_ard_3-2-1_52KBB_2020-03-13_final
2020-03-13 11:23:21	ga_s2am_ard_3-2-1_51KYS_2020-03-13_final
2020-03-13 11:23:24	ga_s2am_ard_3-2-1_52KCA_2020-03-13_final
2020-03-13 11:23:31	ga_s2am_ard_3-2-1_52KBA_2020-03-13_final
2020-03-13 11:23:35	ga_s2am_ard_3-2-1_51KYR_2020-03-13_final
2020-03-13 11:23:39	ga_s2am_ard_3-2-1_51KXR_2020-03-13_final
2020-03-13 11:23:52	ga_s2am_ard_3-2-1_51KXQ_2020-03-13_final
2020-03-13 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2020-03-13_final
2020-03-13 11:24:08	ga_s2am_ard_3-2-1_51KXP_2020-03-13_final
2020-03-13 11:24:11	ga_s2am_ard_3-2-1_51KWP_2020-03-13_final
2020-03-13 11:24:15	ga_s2am_ard_3-2-1_52JBT_2020-03-13_final
2020-03-13 11:24:22	ga_s2am_ard_3-2-1_51JXN_2020-03-13_final
2020-03-13 11:24:26	ga_s2am_ard_3-2-1_51JWN_2020-03-13_final
2020-03-13 11:24:28	ga_s2am_ard_3-2-1_51JZM_2020-03-13_final
2020-03-13 11:24:33	ga_s2am_ard_3-2-1_51JYM_2020-03-13_final
2020-03-13 11:24:37	ga_s2am_ard_3-2-1_51JXM_2020-03-13_final
2020-03-13 11:24:40	ga_s2am_ard_3-2-1_52JBR_2020-03-13_final
2020-03-13 11:24:40	ga_s2am_ard_3-2-1_51JWM_2020-03-13_final
2020-03-13 11:24:47	ga_s2am_ard_3-2-1_51JYL_2020-03-13_final
2020-03-13 11:24:51	ga_s2am_ard_3-2-1_51JXL_2020-03-13_final
2020-03-13 11:25:09	ga_s2am_ard_3-2-1_51JWK_2020-03-13_final
2020-03-13 11:25:12	ga_s2am_ard_3-2-1_51JVK_2020-03-13_final
2020-03-13 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2020-03-13_final
2020-03-13 11:25:27	ga_s2am_ard_3-2-1_51JVJ_2020-03-13_final
2020-03-13 11:25:41	ga_s2am_ard_3-2-1_51JYG_2020-03-13_final
2020-03-13 11:26:07	ga_s2am_ard_3-2-1_51JWF_2020-03-13_final
2020-03-13 11:26:11	ga_s2am_ard_3-2-1_51JVF_2020-03-13_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