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
2022-08-27 09:34:53	ga_s2am_ard_3-2-1_56JLP_2022-08-27_final
2022-08-27 09:35:03	ga_s2am_ard_3-2-1_55JGJ_2022-08-27_final
2022-08-27 09:35:19	ga_s2am_ard_3-2-1_56JMM_2022-08-27_final
2022-08-27 09:35:55	ga_s2am_ard_3-2-1_56HKK_2022-08-27_final
2022-08-27 09:35:57	ga_s2am_ard_3-2-1_55HGE_2022-08-27_final
2022-08-27 09:36:15	ga_s2am_ard_3-2-1_55HFD_2022-08-27_final
2022-08-27 09:36:20	ga_s2am_ard_3-2-1_56HLH_2022-08-27_final.stac-item
2022-08-27 09:36:35	ga_s2am_ard_3-2-1_56HLG_2022-08-27_final.stac-item
2022-08-27 09:36:40	ga_s2am_ard_3-2-1_55HGB_2022-08-27_final
2022-08-27 09:36:53	ga_s2am_ard_3-2-1_56HKF_2022-08-27_final
2022-08-27 09:37:03	ga_s2am_ard_3-2-1_55HEA_2022-08-27_final
2022-08-27 09:37:13	ga_s2am_ard_3-2-1_55HFV_2022-08-27_final
2022-08-27 09:37:16	ga_s2am_ard_3-2-1_55HEV_2022-08-27_final
2022-08-27 09:37:52	ga_s2am_ard_3-2-1_55HDT_2022-08-27_final
2022-08-27 09:38:00	ga_s2am_ard_3-2-1_55HES_2022-08-27_final
2022-08-27 09:38:14	ga_s2am_ard_3-2-1_55GER_2022-08-27_final
2022-08-27 09:38:22	ga_s2am_ard_3-2-1_55GFQ_2022-08-27_final
2022-08-27 09:38:24	ga_s2am_ard_3-2-1_55GEQ_2022-08-27_final
2022-08-27 09:38:25	ga_s2am_ard_3-2-1_55GDR_2022-08-27_final
2022-08-27 09:38:28	ga_s2am_ard_3-2-1_55GFQ_2022-08-27_final.stac-item
2022-08-27 09:38:30	ga_s2am_ard_3-2-1_55GEQ_2022-08-27_final
2022-08-27 09:38:33	ga_s2am_ard_3-2-1_55GDQ_2022-08-27_final
2022-08-27 09:38:39	ga_s2am_ard_3-2-1_55GFP_2022-08-27_final
2022-08-27 09:38:43	ga_s2am_ard_3-2-1_55GEP_2022-08-27_final
2022-08-27 09:38:47	ga_s2am_ard_3-2-1_55GDP_2022-08-27_final.stac-item
2022-08-27 09:38:53	ga_s2am_ard_3-2-1_55GCP_2022-08-27_final
2022-08-27 09:38:53	ga_s2am_ard_3-2-1_55GFN_2022-08-27_final.stac-item
2022-08-27 09:38:58	ga_s2am_ard_3-2-1_55GEN_2022-08-27_final
2022-08-27 09:39:01	ga_s2am_ard_3-2-1_55GDN_2022-08-27_final.stac-item
2022-08-27 09:39:05	ga_s2am_ard_3-2-1_55GCN_2022-08-27_final.stac-item
2022-08-27 09:39:12	ga_s2am_ard_3-2-1_55GEM_2022-08-27_final.stac-item
2022-08-27 09:39:15	ga_s2am_ard_3-2-1_55GDM_2022-08-27_final.stac-item
2022-08-27 09:39:16	ga_s2am_ard_3-2-1_55GCM_2022-08-27_final.stac-item
2022-08-27 11:10:16	ga_s2am_ard_3-2-1_53LKJ_2022-08-27_final.stac-item
2022-08-27 11:11:10	ga_s2am_ard_3-2-1_52LGL_2022-08-27_final
2022-08-27 11:11:14	ga_s2am_ard_3-2-1_52LFL_2022-08-27_final
2022-08-27 11:11:17	ga_s2am_ard_3-2-1_52LEL_2022-08-27_final.stac-item
2022-08-27 11:11:23	ga_s2am_ard_3-2-1_52LGK_2022-08-27_final
2022-08-27 11:11:27	ga_s2am_ard_3-2-1_52LEK_2022-08-27_final.stac-item
2022-08-27 11:11:30	ga_s2am_ard_3-2-1_52LGK_2022-08-27_final
2022-08-27 11:11:52	ga_s2am_ard_3-2-1_52LGH_2022-08-27_final
2022-08-27 11:11:57	ga_s2am_ard_3-2-1_52LFH_2022-08-27_final
2022-08-27 11:12:01	ga_s2am_ard_3-2-1_52LEH_2022-08-27_final
2022-08-27 11:12:02	ga_s2am_ard_3-2-1_52KGG_2022-08-27_final
2022-08-27 11:12:12	ga_s2am_ard_3-2-1_52KFG_2022-08-27_final
2022-08-27 11:12:23	ga_s2am_ard_3-2-1_52KCG_2022-08-27_final
2022-08-27 11:12:26	ga_s2am_ard_3-2-1_52KFF_2022-08-27_final
2022-08-27 11:12:33	ga_s2am_ard_3-2-1_52KDF_2022-08-27_final
2022-08-27 11:12:36	ga_s2am_ard_3-2-1_52KCF_2022-08-27_final
2022-08-27 11:12:44	ga_s2am_ard_3-2-1_52KEE_2022-08-27_final
2022-08-27 11:12:48	ga_s2am_ard_3-2-1_52KDE_2022-08-27_final
2022-08-27 11:13:02	ga_s2am_ard_3-2-1_52KDD_2022-08-27_final
2022-08-27 11:13:06	ga_s2am_ard_3-2-1_52KFC_2022-08-27_final
2022-08-27 11:13:17	ga_s2am_ard_3-2-1_52KDC_2022-08-27_final
2022-08-27 11:13:41	ga_s2am_ard_3-2-1_51KZS_2022-08-27_final
2022-08-27 11:13:42	ga_s2am_ard_3-2-1_52KEA_2022-08-27_final
2022-08-27 11:13:46	ga_s2am_ard_3-2-1_52KDA_2022-08-27_final
2022-08-27 11:14:04	ga_s2am_ard_3-2-1_52KCV_2022-08-27_final
2022-08-27 11:14:07	ga_s2am_ard_3-2-1_51KZQ_2022-08-27_final
2022-08-27 11:14:10	ga_s2am_ard_3-2-1_52KEU_2022-08-27_final
2022-08-27 11:14:15	ga_s2am_ard_3-2-1_52KDU_2022-08-27_final
2022-08-27 11:14:20	ga_s2am_ard_3-2-1_52JET_2022-08-27_final
2022-08-27 11:14:21	ga_s2am_ard_3-2-1_51KZP_2022-08-27_final
2022-08-27 11:14:36	ga_s2am_ard_3-2-1_51JZN_2022-08-27_final
2022-08-27 11:14:41	ga_s2am_ard_3-2-1_51JYN_2022-08-27_final
2022-08-27 11:14:47	ga_s2am_ard_3-2-1_52JCS_2022-08-27_final
2022-08-27 11:14:59	ga_s2am_ard_3-2-1_52JDR_2022-08-27_final
2022-08-27 11:15:02	ga_s2am_ard_3-2-1_52JCR_2022-08-27_final
2022-08-27 11:15:05	ga_s2am_ard_3-2-1_52JBR_2022-08-27_final
2022-08-27 11:15:16	ga_s2am_ard_3-2-1_52JCQ_2022-08-27_final
2022-08-27 11:15:23	ga_s2am_ard_3-2-1_51JYK_2022-08-27_final
2022-08-27 11:15:24	ga_s2am_ard_3-2-1_52JDP_2022-08-27_final
2022-08-27 11:15:45	ga_s2am_ard_3-2-1_52JCN_2022-08-27_final
2022-08-27 11:16:03	ga_s2am_ard_3-2-1_52JBM_2022-08-27_final
2022-08-27 11:16:10	ga_s2am_ard_3-2-1_51JXG_2022-08-27_final
2022-08-27 11:16:15	ga_s2am_ard_3-2-1_52JCL_2022-08-27_final
2022-08-27 11:16:21	ga_s2am_ard_3-2-1_51JXF_2022-08-27_final
2022-08-27 11:16:23	ga_s2am_ard_3-2-1_52JCL_2022-08-27_final
2022-08-27 11:16:23	ga_s2am_ard_3-2-1_52HCK_2022-08-27_final.stac-item
2022-08-27 11:16:25	ga_s2am_ard_3-2-1_52JBL_2022-08-27_final.stac-item
2022-08-27 11:16:25	ga_s2am_ard_3-2-1_52HBK_2022-08-27_final
2022-08-27 11:16:26	ga_s2am_ard_3-2-1_51HYE_2022-08-27_final
2022-08-27 11:16:26	ga_s2am_ard_3-2-1_51JYF_2022-08-27_final
2022-08-27 11:16:28	ga_s2am_ard_3-2-1_51JXF_2022-08-27_final.stac-item
2022-08-27 11:16:29	ga_s2am_ard_3-2-1_52HCK_2022-08-27_final.stac-item
2022-08-27 11:16:32	ga_s2am_ard_3-2-1_51JWF_2022-08-27_final
2022-08-27 11:16:32	ga_s2am_ard_3-2-1_52HBK_2022-08-27_final
2022-08-27 11:16:35	ga_s2am_ard_3-2-1_51HYE_2022-08-27_final
2022-08-27 11:16:39	ga_s2am_ard_3-2-1_51HXE_2022-08-27_final
2022-08-27 11:16:43	ga_s2am_ard_3-2-1_51HWE_2022-08-27_final.stac-item
2022-08-27 11:16:49	ga_s2am_ard_3-2-1_51HYD_2022-08-27_final.stac-item
2022-08-27 11:16:53	ga_s2am_ard_3-2-1_51HXD_2022-08-27_final
2022-08-27 11:16:56	ga_s2am_ard_3-2-1_51HWD_2022-08-27_final.stac-item
2022-08-27 11:17:08	ga_s2am_ard_3-2-1_51HXC_2022-08-27_final.stac-item
2022-08-27 11:17:11	ga_s2am_ard_3-2-1_51HWC_2022-08-27_final.stac-item
2022-08-27 11:17:19	ga_s2am_ard_3-2-1_51HXB_2022-08-27_final.stac-item
2022-08-27 11:17:20	ga_s2am_ard_3-2-1_51HWB_2022-08-27_final.stac-item
2022-08-27 12:51:13	ga_s2am_ard_3-2-1_48LWP_2022-08-27_final.stac-item
2022-08-28 09:05:01	ga_s2am_ard_3-2-1_57JVH_2022-08-27_interim.stac-item
2022-08-28 09:05:08	ga_s2am_ard_3-2-1_57JWG_2022-08-27_interim.stac-item

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

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