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
2020-04-28 11:46:56	ga_s2am_ard_3-2-1_50HQH_2020-04-28_final
2020-04-29 09:32:48	ga_s2am_ard_3-2-1_56KNB_2020-04-29_final.stac-item
2020-04-29 09:32:49	ga_s2am_ard_3-2-1_56KMB_2020-04-29_final.stac-item
2020-04-29 09:32:51	ga_s2am_ard_3-2-1_56KLB_2020-04-29_final
2020-04-29 09:33:01	ga_s2am_ard_3-2-1_56KLA_2020-04-29_final
2020-04-29 09:33:27	ga_s2am_ard_3-2-1_56KMU_2020-04-29_final
2020-04-29 09:33:38	ga_s2am_ard_3-2-1_56JNT_2020-04-29_final
2020-04-29 09:33:42	ga_s2am_ard_3-2-1_56JMT_2020-04-29_final
2020-04-29 09:33:45	ga_s2am_ard_3-2-1_56JLT_2020-04-29_final
2020-04-29 09:33:52	ga_s2am_ard_3-2-1_56JKT_2020-04-29_final
2020-04-29 09:33:52	ga_s2am_ard_3-2-1_56JNS_2020-04-29_final
2020-04-29 09:33:56	ga_s2am_ard_3-2-1_56JMS_2020-04-29_final
2020-04-29 09:34:03	ga_s2am_ard_3-2-1_55JHM_2020-04-29_final
2020-04-29 09:34:03	ga_s2am_ard_3-2-1_56JKS_2020-04-29_final
2020-04-29 09:34:07	ga_s2am_ard_3-2-1_56JNR_2020-04-29_final.stac-item
2020-04-29 09:34:11	ga_s2am_ard_3-2-1_56JMR_2020-04-29_final
2020-04-29 09:34:35	ga_s2am_ard_3-2-1_56JNP_2020-04-29_final.stac-item
2020-04-29 09:34:40	ga_s2am_ard_3-2-1_56JMP_2020-04-29_final
2020-04-29 09:35:09	ga_s2am_ard_3-2-1_56JMM_2020-04-29_final
2020-04-29 09:35:23	ga_s2am_ard_3-2-1_56JML_2020-04-29_final
2020-04-29 09:35:27	ga_s2am_ard_3-2-1_56JLL_2020-04-29_final
2020-04-29 09:35:38	ga_s2am_ard_3-2-1_56HMK_2020-04-29_final
2020-04-29 09:35:52	ga_s2am_ard_3-2-1_55HFE_2020-04-29_final
2020-04-29 09:36:14	ga_s2am_ard_3-2-1_56HKH_2020-04-29_final
2020-04-29 09:36:16	ga_s2am_ard_3-2-1_55HGC_2020-04-29_final
2020-04-29 09:36:43	ga_s2am_ard_3-2-1_56HKF_2020-04-29_final
2020-04-29 09:36:45	ga_s2am_ard_3-2-1_55HGA_2020-04-29_final
2020-04-29 09:36:48	ga_s2am_ard_3-2-1_55HFA_2020-04-29_final
2020-04-29 09:36:53	ga_s2am_ard_3-2-1_55HEA_2020-04-29_final
2020-04-29 09:37:50	ga_s2am_ard_3-2-1_55HES_2020-04-29_final
2020-04-29 09:37:54	ga_s2am_ard_3-2-1_55HDS_2020-04-29_final
2020-04-29 09:38:00	ga_s2am_ard_3-2-1_55GFR_2020-04-29_final
2020-04-29 09:38:04	ga_s2am_ard_3-2-1_55GER_2020-04-29_final
2020-04-29 09:38:08	ga_s2am_ard_3-2-1_55GDR_2020-04-29_final
2020-04-29 11:10:06	ga_s2am_ard_3-2-1_53LKJ_2020-04-29_final.stac-item
2020-04-29 11:10:27	ga_s2am_ard_3-2-1_52LHN_2020-04-29_final
2020-04-29 11:10:31	ga_s2am_ard_3-2-1_52LGN_2020-04-29_final
2020-04-29 11:10:40	ga_s2am_ard_3-2-1_52LHM_2020-04-29_final
2020-04-29 11:10:46	ga_s2am_ard_3-2-1_52LGM_2020-04-29_final
2020-04-29 11:10:49	ga_s2am_ard_3-2-1_52LFM_2020-04-29_final.stac-item
2020-04-29 11:11:04	ga_s2am_ard_3-2-1_52LFL_2020-04-29_final
2020-04-29 11:11:07	ga_s2am_ard_3-2-1_52LEL_2020-04-29_final.stac-item
2020-04-29 11:11:15	ga_s2am_ard_3-2-1_52LGK_2020-04-29_final
2020-04-29 11:11:18	ga_s2am_ard_3-2-1_52LFK_2020-04-29_final
2020-04-29 11:11:22	ga_s2am_ard_3-2-1_52LEK_2020-04-29_final.stac-item
2020-04-29 11:11:29	ga_s2am_ard_3-2-1_52LGJ_2020-04-29_final
2020-04-29 11:11:42	ga_s2am_ard_3-2-1_52LGH_2020-04-29_final
2020-04-29 11:11:47	ga_s2am_ard_3-2-1_52LFH_2020-04-29_final
2020-04-29 11:11:51	ga_s2am_ard_3-2-1_52LEH_2020-04-29_final
2020-04-29 11:11:53	ga_s2am_ard_3-2-1_52KGG_2020-04-29_final
2020-04-29 11:11:54	ga_s2am_ard_3-2-1_52LDH_2020-04-29_final
2020-04-29 11:12:02	ga_s2am_ard_3-2-1_52KFG_2020-04-29_final
2020-04-29 11:12:05	ga_s2am_ard_3-2-1_52KEG_2020-04-29_final
2020-04-29 11:12:09	ga_s2am_ard_3-2-1_52KDG_2020-04-29_final
2020-04-29 11:12:13	ga_s2am_ard_3-2-1_52KCG_2020-04-29_final
2020-04-29 11:12:20	ga_s2am_ard_3-2-1_52KEF_2020-04-29_final
2020-04-29 11:12:23	ga_s2am_ard_3-2-1_52KDF_2020-04-29_final
2020-04-29 11:12:26	ga_s2am_ard_3-2-1_52KCF_2020-04-29_final
2020-04-29 11:12:31	ga_s2am_ard_3-2-1_52KFE_2020-04-29_final
2020-04-29 11:12:34	ga_s2am_ard_3-2-1_52KEE_2020-04-29_final
2020-04-29 11:12:38	ga_s2am_ard_3-2-1_52KDE_2020-04-29_final
2020-04-29 11:12:41	ga_s2am_ard_3-2-1_52KCE_2020-04-29_final
2020-04-29 11:12:45	ga_s2am_ard_3-2-1_52KFD_2020-04-29_final
2020-04-29 11:12:52	ga_s2am_ard_3-2-1_52KDD_2020-04-29_final
2020-04-29 11:12:55	ga_s2am_ard_3-2-1_52KCD_2020-04-29_final
2020-04-29 11:12:56	ga_s2am_ard_3-2-1_52KFC_2020-04-29_final
2020-04-29 11:13:03	ga_s2am_ard_3-2-1_52KEC_2020-04-29_final
2020-04-29 11:13:07	ga_s2am_ard_3-2-1_52KDC_2020-04-29_final
2020-04-29 11:13:10	ga_s2am_ard_3-2-1_52KCC_2020-04-29_final
2020-04-29 11:13:16	ga_s2am_ard_3-2-1_52KBC_2020-04-29_final
2020-04-29 11:13:25	ga_s2am_ard_3-2-1_52KCB_2020-04-29_final
2020-04-29 11:13:28	ga_s2am_ard_3-2-1_52KBB_2020-04-29_final
2020-04-29 11:13:31	ga_s2am_ard_3-2-1_51KZS_2020-04-29_final
2020-04-29 11:13:39	ga_s2am_ard_3-2-1_52KCA_2020-04-29_final
2020-04-29 11:13:42	ga_s2am_ard_3-2-1_52KBA_2020-04-29_final
2020-04-29 11:13:43	ga_s2am_ard_3-2-1_51KZR_2020-04-29_final
2020-04-29 11:13:47	ga_s2am_ard_3-2-1_52KEV_2020-04-29_final
2020-04-29 11:13:50	ga_s2am_ard_3-2-1_52KDV_2020-04-29_final
2020-04-29 11:13:57	ga_s2am_ard_3-2-1_51KZQ_2020-04-29_final
2020-04-29 11:14:00	ga_s2am_ard_3-2-1_52KEU_2020-04-29_final
2020-04-29 11:14:05	ga_s2am_ard_3-2-1_52KDU_2020-04-29_final
2020-04-29 11:14:11	ga_s2am_ard_3-2-1_51KZP_2020-04-29_final
2020-04-29 11:14:11	ga_s2am_ard_3-2-1_52KBU_2020-04-29_final
2020-04-29 11:14:26	ga_s2am_ard_3-2-1_51JZN_2020-04-29_final
2020-04-29 11:14:26	ga_s2am_ard_3-2-1_52JBT_2020-04-29_final
2020-04-29 11:14:31	ga_s2am_ard_3-2-1_51JYN_2020-04-29_final
2020-04-29 11:14:34	ga_s2am_ard_3-2-1_52JDS_2020-04-29_final
2020-04-29 11:14:40	ga_s2am_ard_3-2-1_51JZM_2020-04-29_final
2020-04-29 11:14:40	ga_s2am_ard_3-2-1_52JBS_2020-04-29_final
2020-04-29 11:14:44	ga_s2am_ard_3-2-1_51JYM_2020-04-29_final
2020-04-29 11:14:49	ga_s2am_ard_3-2-1_52JDR_2020-04-29_final
2020-04-29 11:15:17	ga_s2am_ard_3-2-1_52JCP_2020-04-29_final
2020-04-29 11:15:20	ga_s2am_ard_3-2-1_51JYJ_2020-04-29_final
2020-04-29 11:15:24	ga_s2am_ard_3-2-1_52JCP_2020-04-29_final
2020-04-29 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2020-04-29_final
2020-04-29 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2020-04-29_final
2020-04-29 11:16:00	ga_s2am_ard_3-2-1_51JXG_2020-04-29_final
2020-04-29 11:16:05	ga_s2am_ard_3-2-1_52JCL_2020-04-29_final
2020-04-29 11:16:14	ga_s2am_ard_3-2-1_51JXF_2020-04-29_final
2020-04-29 11:16:22	ga_s2am_ard_3-2-1_51JWF_2020-04-29_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