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
2021-10-31 09:34:45	ga_s2am_ard_3-2-1_56JLP_2021-10-31_final
2021-10-31 09:34:48	ga_s2am_ard_3-2-1_56JNN_2021-10-31_final
2021-10-31 09:34:48	ga_s2am_ard_3-2-1_56JKP_2021-10-31_final
2021-10-31 09:34:55	ga_s2am_ard_3-2-1_55JGJ_2021-10-31_final
2021-10-31 09:34:56	ga_s2am_ard_3-2-1_56JMN_2021-10-31_final
2021-10-31 09:35:00	ga_s2am_ard_3-2-1_56JLN_2021-10-31_final
2021-10-31 09:35:03	ga_s2am_ard_3-2-1_56JKN_2021-10-31_final
2021-10-31 09:35:14	ga_s2am_ard_3-2-1_56JLM_2021-10-31_final
2021-10-31 09:35:29	ga_s2am_ard_3-2-1_56JLL_2021-10-31_final
2021-10-31 09:35:32	ga_s2am_ard_3-2-1_56JKL_2021-10-31_final
2021-10-31 09:35:34	ga_s2am_ard_3-2-1_55JGF_2021-10-31_final
2021-10-31 09:35:40	ga_s2am_ard_3-2-1_56HMK_2021-10-31_final
2021-10-31 09:35:43	ga_s2am_ard_3-2-1_56HLK_2021-10-31_final
2021-10-31 09:35:47	ga_s2am_ard_3-2-1_56HKK_2021-10-31_final
2021-10-31 09:35:49	ga_s2am_ard_3-2-1_55HGE_2021-10-31_final
2021-10-31 09:35:58	ga_s2am_ard_3-2-1_56HLJ_2021-10-31_final
2021-10-31 09:36:01	ga_s2am_ard_3-2-1_56HKJ_2021-10-31_final
2021-10-31 09:36:03	ga_s2am_ard_3-2-1_55HGD_2021-10-31_final
2021-10-31 09:36:07	ga_s2am_ard_3-2-1_55HFD_2021-10-31_final
2021-10-31 09:36:12	ga_s2am_ard_3-2-1_56HLH_2021-10-31_final.stac-item
2021-10-31 09:36:16	ga_s2am_ard_3-2-1_56HKH_2021-10-31_final
2021-10-31 09:36:21	ga_s2am_ard_3-2-1_55HFC_2021-10-31_final
2021-10-31 09:36:27	ga_s2am_ard_3-2-1_56HLG_2021-10-31_final.stac-item
2021-10-31 09:36:30	ga_s2am_ard_3-2-1_56HKG_2021-10-31_final
2021-10-31 09:36:32	ga_s2am_ard_3-2-1_55HGB_2021-10-31_final
2021-10-31 09:36:36	ga_s2am_ard_3-2-1_55HFB_2021-10-31_final
2021-10-31 09:36:45	ga_s2am_ard_3-2-1_56HKF_2021-10-31_final
2021-10-31 09:36:46	ga_s2am_ard_3-2-1_55HGA_2021-10-31_final
2021-10-31 09:36:50	ga_s2am_ard_3-2-1_55HFA_2021-10-31_final
2021-10-31 09:36:55	ga_s2am_ard_3-2-1_55HEA_2021-10-31_final
2021-10-31 09:37:23	ga_s2am_ard_3-2-1_55HEU_2021-10-31_final
2021-10-31 09:37:34	ga_s2am_ard_3-2-1_55HFT_2021-10-31_final.stac-item
2021-10-31 09:37:37	ga_s2am_ard_3-2-1_55HET_2021-10-31_final
2021-10-31 09:37:44	ga_s2am_ard_3-2-1_55HDT_2021-10-31_final
2021-10-31 09:38:02	ga_s2am_ard_3-2-1_55GFR_2021-10-31_final
2021-10-31 09:38:06	ga_s2am_ard_3-2-1_55GER_2021-10-31_final
2021-10-31 09:38:10	ga_s2am_ard_3-2-1_55GDR_2021-10-31_final
2021-10-31 09:38:17	ga_s2am_ard_3-2-1_55GFQ_2021-10-31_final
2021-10-31 09:38:21	ga_s2am_ard_3-2-1_55GEQ_2021-10-31_final
2021-10-31 09:38:25	ga_s2am_ard_3-2-1_55GDQ_2021-10-31_final
2021-10-31 09:38:31	ga_s2am_ard_3-2-1_55GFP_2021-10-31_final
2021-10-31 09:38:35	ga_s2am_ard_3-2-1_55GEP_2021-10-31_final
2021-10-31 09:38:39	ga_s2am_ard_3-2-1_55GDP_2021-10-31_final
2021-10-31 09:38:45	ga_s2am_ard_3-2-1_55GCP_2021-10-31_final
2021-10-31 09:38:45	ga_s2am_ard_3-2-1_55GFN_2021-10-31_final
2021-10-31 09:38:50	ga_s2am_ard_3-2-1_55GEN_2021-10-31_final
2021-10-31 09:38:53	ga_s2am_ard_3-2-1_55GDN_2021-10-31_final
2021-10-31 09:38:57	ga_s2am_ard_3-2-1_55GCN_2021-10-31_final
2021-10-31 09:39:04	ga_s2am_ard_3-2-1_55GEM_2021-10-31_final.stac-item
2021-10-31 09:39:07	ga_s2am_ard_3-2-1_55GDM_2021-10-31_final.stac-item
2021-10-31 09:39:09	ga_s2am_ard_3-2-1_55GCM_2021-10-31_final.stac-item
2021-10-31 11:10:59	ga_s2am_ard_3-2-1_52LFM_2021-10-31_final.stac-item
2021-10-31 11:11:00	ga_s2am_ard_3-2-1_52LEL_2021-10-31_final.stac-item
2021-10-31 11:11:09	ga_s2am_ard_3-2-1_52LEL_2021-10-31_final.stac-item
2021-10-31 11:11:17	ga_s2am_ard_3-2-1_52LGK_2021-10-31_final
2021-10-31 11:11:31	ga_s2am_ard_3-2-1_52LGJ_2021-10-31_final
2021-10-31 11:11:35	ga_s2am_ard_3-2-1_52LFJ_2021-10-31_final
2021-10-31 11:11:49	ga_s2am_ard_3-2-1_52LFH_2021-10-31_final
2021-10-31 11:11:53	ga_s2am_ard_3-2-1_52LEH_2021-10-31_final
2021-10-31 11:11:55	ga_s2am_ard_3-2-1_52KGG_2021-10-31_final
2021-10-31 11:11:56	ga_s2am_ard_3-2-1_52LDH_2021-10-31_final
2021-10-31 11:12:15	ga_s2am_ard_3-2-1_52KCG_2021-10-31_final
2021-10-31 11:12:22	ga_s2am_ard_3-2-1_52KEF_2021-10-31_final
2021-10-31 11:12:25	ga_s2am_ard_3-2-1_52KDF_2021-10-31_final
2021-10-31 11:12:33	ga_s2am_ard_3-2-1_52KFE_2021-10-31_final
2021-10-31 11:12:36	ga_s2am_ard_3-2-1_52KEE_2021-10-31_final
2021-10-31 11:12:40	ga_s2am_ard_3-2-1_52KDE_2021-10-31_final
2021-10-31 11:12:43	ga_s2am_ard_3-2-1_52KCE_2021-10-31_final
2021-10-31 11:14:10	ga_s2am_ard_3-2-1_52KCU_2021-10-31_final
2021-10-31 11:14:12	ga_s2am_ard_3-2-1_52JET_2021-10-31_final
2021-10-31 11:14:13	ga_s2am_ard_3-2-1_51KZP_2021-10-31_final
2021-10-31 11:14:13	ga_s2am_ard_3-2-1_52KBU_2021-10-31_final
2021-10-31 11:14:21	ga_s2am_ard_3-2-1_52JDT_2021-10-31_final
2021-10-31 11:14:28	ga_s2am_ard_3-2-1_51JZN_2021-10-31_final
2021-10-31 11:14:28	ga_s2am_ard_3-2-1_52JBT_2021-10-31_final
2021-10-31 11:14:33	ga_s2am_ard_3-2-1_51JYN_2021-10-31_final
2021-10-31 11:14:39	ga_s2am_ard_3-2-1_52JCS_2021-10-31_final
2021-10-31 11:14:54	ga_s2am_ard_3-2-1_52JCR_2021-10-31_final
2021-10-31 11:15:12	ga_s2am_ard_3-2-1_52JBQ_2021-10-31_final
2021-10-31 11:15:15	ga_s2am_ard_3-2-1_51JYK_2021-10-31_final
2021-10-31 11:15:16	ga_s2am_ard_3-2-1_52JDP_2021-10-31_final
2021-10-31 11:15:23	ga_s2am_ard_3-2-1_52JCP_2021-10-31_final
2021-10-31 11:15:26	ga_s2am_ard_3-2-1_52JBP_2021-10-31_final
2021-10-31 11:15:29	ga_s2am_ard_3-2-1_51JYJ_2021-10-31_final
2021-10-31 11:15:34	ga_s2am_ard_3-2-1_51JXJ_2021-10-31_final
2021-10-31 11:15:37	ga_s2am_ard_3-2-1_52JCN_2021-10-31_final
2021-10-31 11:15:47	ga_s2am_ard_3-2-1_51JXH_2021-10-31_final
2021-10-31 11:15:52	ga_s2am_ard_3-2-1_52JCM_2021-10-31_final
2021-10-31 11:16:02	ga_s2am_ard_3-2-1_51JXG_2021-10-31_final
2021-10-31 11:16:07	ga_s2am_ard_3-2-1_52JCL_2021-10-31_final
2021-10-31 11:16:10	ga_s2am_ard_3-2-1_52JBL_2021-10-31_final
2021-10-31 11:16:12	ga_s2am_ard_3-2-1_51JYF_2021-10-31_final
2021-10-31 11:16:16	ga_s2am_ard_3-2-1_51JXF_2021-10-31_final
2021-10-31 11:16:20	ga_s2am_ard_3-2-1_52HCK_2021-10-31_final.stac-item
2021-10-31 11:16:24	ga_s2am_ard_3-2-1_52HBK_2021-10-31_final
2021-10-31 11:16:27	ga_s2am_ard_3-2-1_51HYE_2021-10-31_final
2021-10-31 11:16:35	ga_s2am_ard_3-2-1_51HWE_2021-10-31_final
2021-10-31 11:16:41	ga_s2am_ard_3-2-1_51HYD_2021-10-31_final
2021-10-31 11:16:45	ga_s2am_ard_3-2-1_51HXD_2021-10-31_final
2021-10-31 11:17:00	ga_s2am_ard_3-2-1_51HXC_2021-10-31_final.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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