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
2020-07-08 09:32:49	ga_s2am_ard_3-2-1_56KNB_2020-07-08_final.stac-item
2020-07-08 09:32:51	ga_s2am_ard_3-2-1_56KMB_2020-07-08_final.stac-item
2020-07-08 09:32:53	ga_s2am_ard_3-2-1_56KLB_2020-07-08_final
2020-07-08 09:32:56	ga_s2am_ard_3-2-1_56KNA_2020-07-08_final.stac-item
2020-07-08 09:33:00	ga_s2am_ard_3-2-1_56KMA_2020-07-08_final
2020-07-08 09:33:03	ga_s2am_ard_3-2-1_56KLA_2020-07-08_final
2020-07-08 09:33:17	ga_s2am_ard_3-2-1_56KLV_2020-07-08_final
2020-07-08 09:33:29	ga_s2am_ard_3-2-1_56KMU_2020-07-08_final
2020-07-08 09:33:32	ga_s2am_ard_3-2-1_56KLU_2020-07-08_final
2020-07-08 09:33:40	ga_s2am_ard_3-2-1_56JNT_2020-07-08_final
2020-07-08 09:33:43	ga_s2am_ard_3-2-1_56JMT_2020-07-08_final
2020-07-08 09:33:47	ga_s2am_ard_3-2-1_56JLT_2020-07-08_final
2020-07-08 09:33:54	ga_s2am_ard_3-2-1_56JNS_2020-07-08_final
2020-07-08 09:33:58	ga_s2am_ard_3-2-1_56JMS_2020-07-08_final
2020-07-08 09:34:01	ga_s2am_ard_3-2-1_56JLS_2020-07-08_final
2020-07-08 09:34:05	ga_s2am_ard_3-2-1_55JHM_2020-07-08_final
2020-07-08 09:34:05	ga_s2am_ard_3-2-1_56JKS_2020-07-08_final
2020-07-08 09:34:09	ga_s2am_ard_3-2-1_56JNR_2020-07-08_final.stac-item
2020-07-08 09:34:12	ga_s2am_ard_3-2-1_56JMR_2020-07-08_final
2020-07-08 09:34:37	ga_s2am_ard_3-2-1_56JNP_2020-07-08_final.stac-item
2020-07-08 09:34:41	ga_s2am_ard_3-2-1_56JMP_2020-07-08_final
2020-07-08 09:35:10	ga_s2am_ard_3-2-1_56JMM_2020-07-08_final
2020-07-08 09:35:25	ga_s2am_ard_3-2-1_56JML_2020-07-08_final
2020-07-08 09:36:55	ga_s2am_ard_3-2-1_55HEA_2020-07-08_final
2020-07-08 09:37:51	ga_s2am_ard_3-2-1_55HES_2020-07-08_final
2020-07-08 09:37:55	ga_s2am_ard_3-2-1_55HDS_2020-07-08_final
2020-07-08 11:10:08	ga_s2am_ard_3-2-1_53LKJ_2020-07-08_final.stac-item
2020-07-08 11:10:29	ga_s2am_ard_3-2-1_52LHN_2020-07-08_final
2020-07-08 11:10:33	ga_s2am_ard_3-2-1_52LGN_2020-07-08_final
2020-07-08 11:10:37	ga_s2am_ard_3-2-1_52LFN_2020-07-08_final.stac-item
2020-07-08 11:10:41	ga_s2am_ard_3-2-1_52LHM_2020-07-08_final
2020-07-08 11:10:47	ga_s2am_ard_3-2-1_52LGM_2020-07-08_final
2020-07-08 11:10:51	ga_s2am_ard_3-2-1_52LFM_2020-07-08_final.stac-item
2020-07-08 11:10:51	ga_s2am_ard_3-2-1_52LHL_2020-07-08_final
2020-07-08 11:11:02	ga_s2am_ard_3-2-1_52LGL_2020-07-08_final
2020-07-08 11:11:09	ga_s2am_ard_3-2-1_52LEL_2020-07-08_final.stac-item
2020-07-08 11:11:16	ga_s2am_ard_3-2-1_52LGK_2020-07-08_final
2020-07-08 11:11:20	ga_s2am_ard_3-2-1_52LFK_2020-07-08_final
2020-07-08 11:11:23	ga_s2am_ard_3-2-1_52LEK_2020-07-08_final.stac-item
2020-07-08 11:11:31	ga_s2am_ard_3-2-1_52LGJ_2020-07-08_final
2020-07-08 11:11:35	ga_s2am_ard_3-2-1_52LFJ_2020-07-08_final
2020-07-08 11:11:38	ga_s2am_ard_3-2-1_52LEJ_2020-07-08_final
2020-07-08 11:11:41	ga_s2am_ard_3-2-1_52LDJ_2020-07-08_final
2020-07-08 11:11:44	ga_s2am_ard_3-2-1_52LGH_2020-07-08_final
2020-07-08 11:11:49	ga_s2am_ard_3-2-1_52LFH_2020-07-08_final
2020-07-08 11:11:52	ga_s2am_ard_3-2-1_52LEH_2020-07-08_final
2020-07-08 11:11:54	ga_s2am_ard_3-2-1_52KGG_2020-07-08_final
2020-07-08 11:11:56	ga_s2am_ard_3-2-1_52LDH_2020-07-08_final
2020-07-08 11:12:07	ga_s2am_ard_3-2-1_52KEG_2020-07-08_final
2020-07-08 11:12:10	ga_s2am_ard_3-2-1_52KDG_2020-07-08_final
2020-07-08 11:12:18	ga_s2am_ard_3-2-1_52KFF_2020-07-08_final
2020-07-08 11:12:21	ga_s2am_ard_3-2-1_52KEF_2020-07-08_final
2020-07-08 11:12:25	ga_s2am_ard_3-2-1_52KDF_2020-07-08_final
2020-07-08 11:12:28	ga_s2am_ard_3-2-1_52KCF_2020-07-08_final
2020-07-08 11:12:33	ga_s2am_ard_3-2-1_52KFE_2020-07-08_final
2020-07-08 11:12:36	ga_s2am_ard_3-2-1_52KEE_2020-07-08_final
2020-07-08 11:12:39	ga_s2am_ard_3-2-1_52KDE_2020-07-08_final
2020-07-08 11:12:42	ga_s2am_ard_3-2-1_52KCE_2020-07-08_final
2020-07-08 11:12:46	ga_s2am_ard_3-2-1_52KFD_2020-07-08_final
2020-07-08 11:12:50	ga_s2am_ard_3-2-1_52KED_2020-07-08_final
2020-07-08 11:12:54	ga_s2am_ard_3-2-1_52KDD_2020-07-08_final
2020-07-08 11:12:57	ga_s2am_ard_3-2-1_52KCD_2020-07-08_final
2020-07-08 11:12:58	ga_s2am_ard_3-2-1_52KFC_2020-07-08_final
2020-07-08 11:13:05	ga_s2am_ard_3-2-1_52KEC_2020-07-08_final
2020-07-08 11:13:08	ga_s2am_ard_3-2-1_52KDC_2020-07-08_final
2020-07-08 11:13:12	ga_s2am_ard_3-2-1_52KCC_2020-07-08_final
2020-07-08 11:13:18	ga_s2am_ard_3-2-1_52KBC_2020-07-08_final
2020-07-08 11:13:19	ga_s2am_ard_3-2-1_52KEB_2020-07-08_final
2020-07-08 11:13:22	ga_s2am_ard_3-2-1_52KDB_2020-07-08_final
2020-07-08 11:13:23	ga_s2am_ard_3-2-1_52KCB_2020-07-08_final
2020-07-08 11:13:25	ga_s2am_ard_3-2-1_52KBB_2020-07-08_final
2020-07-08 11:13:27	ga_s2am_ard_3-2-1_52KEB_2020-07-08_final
2020-07-08 11:13:27	ga_s2am_ard_3-2-1_52KEA_2020-07-08_final
2020-07-08 11:13:27	ga_s2am_ard_3-2-1_52KDA_2020-07-08_final
2020-07-08 11:13:28	ga_s2am_ard_3-2-1_52KDB_2020-07-08_final
2020-07-08 11:13:30	ga_s2am_ard_3-2-1_52KCB_2020-07-08_final
2020-07-08 11:13:32	ga_s2am_ard_3-2-1_52KBB_2020-07-08_final
2020-07-08 11:13:33	ga_s2am_ard_3-2-1_51KZS_2020-07-08_final
2020-07-08 11:13:34	ga_s2am_ard_3-2-1_52KEA_2020-07-08_final
2020-07-08 11:13:37	ga_s2am_ard_3-2-1_52KDA_2020-07-08_final
2020-07-08 11:13:41	ga_s2am_ard_3-2-1_52KCA_2020-07-08_final
2020-07-08 11:13:44	ga_s2am_ard_3-2-1_52KBA_2020-07-08_final
2020-07-08 11:13:48	ga_s2am_ard_3-2-1_52KEV_2020-07-08_final
2020-07-08 11:13:52	ga_s2am_ard_3-2-1_52KDV_2020-07-08_final
2020-07-08 11:13:55	ga_s2am_ard_3-2-1_52KCV_2020-07-08_final
2020-07-08 11:13:58	ga_s2am_ard_3-2-1_52KBV_2020-07-08_final
2020-07-08 11:14:02	ga_s2am_ard_3-2-1_52KEU_2020-07-08_final
2020-07-08 11:14:06	ga_s2am_ard_3-2-1_52KDU_2020-07-08_final
2020-07-08 11:14:10	ga_s2am_ard_3-2-1_52KCU_2020-07-08_final
2020-07-08 11:14:12	ga_s2am_ard_3-2-1_52JET_2020-07-08_final
2020-07-08 11:14:13	ga_s2am_ard_3-2-1_52KBU_2020-07-08_final
2020-07-08 11:14:21	ga_s2am_ard_3-2-1_52JDT_2020-07-08_final
2020-07-08 11:14:25	ga_s2am_ard_3-2-1_52JCT_2020-07-08_final
2020-07-08 11:14:28	ga_s2am_ard_3-2-1_52JBT_2020-07-08_final
2020-07-08 11:14:33	ga_s2am_ard_3-2-1_51JYN_2020-07-08_final
2020-07-08 11:14:35	ga_s2am_ard_3-2-1_52JDS_2020-07-08_final
2020-07-08 11:14:39	ga_s2am_ard_3-2-1_52JCS_2020-07-08_final
2020-07-08 11:14:42	ga_s2am_ard_3-2-1_51JZM_2020-07-08_final
2020-07-08 11:14:42	ga_s2am_ard_3-2-1_52JBS_2020-07-08_final
2020-07-08 11:14:45	ga_s2am_ard_3-2-1_51JYM_2020-07-08_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