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
2022-03-30 09:36:28	ga_s2am_ard_3-2-1_56HKG_2022-03-30_final
2022-03-30 09:36:43	ga_s2am_ard_3-2-1_56HKF_2022-03-30_final
2022-03-30 09:36:44	ga_s2am_ard_3-2-1_55HGA_2022-03-30_final
2022-03-30 09:36:48	ga_s2am_ard_3-2-1_55HFA_2022-03-30_final
2022-03-30 09:36:59	ga_s2am_ard_3-2-1_55HGV_2022-03-30_final
2022-03-30 09:37:03	ga_s2am_ard_3-2-1_55HFV_2022-03-30_final
2022-03-30 09:37:06	ga_s2am_ard_3-2-1_55HEV_2022-03-30_final
2022-03-30 09:37:13	ga_s2am_ard_3-2-1_55HGU_2022-03-30_final.stac-item
2022-03-30 09:37:17	ga_s2am_ard_3-2-1_55HFU_2022-03-30_final.stac-item
2022-03-30 09:37:31	ga_s2am_ard_3-2-1_55HFT_2022-03-30_final.stac-item
2022-03-30 09:37:35	ga_s2am_ard_3-2-1_55HET_2022-03-30_final
2022-03-30 09:37:46	ga_s2am_ard_3-2-1_55HFS_2022-03-30_final.stac-item
2022-03-30 09:37:50	ga_s2am_ard_3-2-1_55HES_2022-03-30_final
2022-03-30 09:37:54	ga_s2am_ard_3-2-1_55HDS_2022-03-30_final
2022-03-30 09:38:29	ga_s2am_ard_3-2-1_55GFP_2022-03-30_final
2022-03-30 09:38:33	ga_s2am_ard_3-2-1_55GEP_2022-03-30_final
2022-03-30 09:38:37	ga_s2am_ard_3-2-1_55GDP_2022-03-30_final
2022-03-30 09:38:43	ga_s2am_ard_3-2-1_55GCP_2022-03-30_final
2022-03-30 09:38:43	ga_s2am_ard_3-2-1_55GFN_2022-03-30_final
2022-03-30 09:38:47	ga_s2am_ard_3-2-1_55GEN_2022-03-30_final
2022-03-30 09:38:51	ga_s2am_ard_3-2-1_55GDN_2022-03-30_final
2022-03-30 09:38:55	ga_s2am_ard_3-2-1_55GCN_2022-03-30_final
2022-03-30 09:39:02	ga_s2am_ard_3-2-1_55GEM_2022-03-30_final.stac-item
2022-03-30 09:39:04	ga_s2am_ard_3-2-1_55GDM_2022-03-30_final.stac-item
2022-03-30 09:39:06	ga_s2am_ard_3-2-1_55GCM_2022-03-30_final.stac-item
2022-03-30 11:10:06	ga_s2am_ard_3-2-1_53LKJ_2022-03-30_final.stac-item
2022-03-30 11:10:35	ga_s2am_ard_3-2-1_52LFN_2022-03-30_final.stac-item
2022-03-30 11:11:00	ga_s2am_ard_3-2-1_52LGL_2022-03-30_final
2022-03-30 11:11:04	ga_s2am_ard_3-2-1_52LFL_2022-03-30_final
2022-03-30 11:11:07	ga_s2am_ard_3-2-1_52LEL_2022-03-30_final.stac-item
2022-03-30 11:11:15	ga_s2am_ard_3-2-1_52LGK_2022-03-30_final
2022-03-30 11:11:29	ga_s2am_ard_3-2-1_52LGJ_2022-03-30_final
2022-03-30 11:11:33	ga_s2am_ard_3-2-1_52LFJ_2022-03-30_final
2022-03-30 11:11:36	ga_s2am_ard_3-2-1_52LEJ_2022-03-30_final
2022-03-30 11:11:39	ga_s2am_ard_3-2-1_52LDJ_2022-03-30_final
2022-03-30 11:11:42	ga_s2am_ard_3-2-1_52LGH_2022-03-30_final
2022-03-30 11:11:47	ga_s2am_ard_3-2-1_52LFH_2022-03-30_final
2022-03-30 11:11:51	ga_s2am_ard_3-2-1_52LEH_2022-03-30_final
2022-03-30 11:11:54	ga_s2am_ard_3-2-1_52LDH_2022-03-30_final
2022-03-30 11:12:01	ga_s2am_ard_3-2-1_52KFG_2022-03-30_final
2022-03-30 11:12:05	ga_s2am_ard_3-2-1_52KEG_2022-03-30_final
2022-03-30 11:12:08	ga_s2am_ard_3-2-1_52KDG_2022-03-30_final
2022-03-30 11:12:13	ga_s2am_ard_3-2-1_52KCG_2022-03-30_final
2022-03-30 11:12:20	ga_s2am_ard_3-2-1_52KEF_2022-03-30_final
2022-03-30 11:12:23	ga_s2am_ard_3-2-1_52KDF_2022-03-30_final
2022-03-30 11:12:31	ga_s2am_ard_3-2-1_52KFE_2022-03-30_final
2022-03-30 11:12:34	ga_s2am_ard_3-2-1_52KEE_2022-03-30_final
2022-03-30 11:12:38	ga_s2am_ard_3-2-1_52KDE_2022-03-30_final
2022-03-30 11:12:40	ga_s2am_ard_3-2-1_52KCE_2022-03-30_final
2022-03-30 11:12:45	ga_s2am_ard_3-2-1_52KED_2022-03-30_final
2022-03-30 11:12:47	ga_s2am_ard_3-2-1_52KDD_2022-03-30_final
2022-03-30 11:12:48	ga_s2am_ard_3-2-1_52KCE_2022-03-30_final
2022-03-30 11:12:52	ga_s2am_ard_3-2-1_52KED_2022-03-30_final
2022-03-30 11:12:54	ga_s2am_ard_3-2-1_52KDD_2022-03-30_final
2022-03-30 11:12:56	ga_s2am_ard_3-2-1_52KFC_2022-03-30_final
2022-03-30 11:13:03	ga_s2am_ard_3-2-1_52KEC_2022-03-30_final
2022-03-30 11:13:07	ga_s2am_ard_3-2-1_52KDC_2022-03-30_final
2022-03-30 11:13:10	ga_s2am_ard_3-2-1_52KCC_2022-03-30_final
2022-03-30 11:13:16	ga_s2am_ard_3-2-1_52KBC_2022-03-30_final
2022-03-30 11:13:28	ga_s2am_ard_3-2-1_52KBB_2022-03-30_final
2022-03-30 11:13:31	ga_s2am_ard_3-2-1_51KZS_2022-03-30_final
2022-03-30 11:13:32	ga_s2am_ard_3-2-1_52KEA_2022-03-30_final
2022-03-30 11:13:36	ga_s2am_ard_3-2-1_52KDA_2022-03-30_final
2022-03-30 11:13:42	ga_s2am_ard_3-2-1_51KZR_2022-03-30_final
2022-03-30 11:13:56	ga_s2am_ard_3-2-1_51KZQ_2022-03-30_final
2022-03-30 11:13:57	ga_s2am_ard_3-2-1_52KBV_2022-03-30_final
2022-03-30 11:14:00	ga_s2am_ard_3-2-1_52KEU_2022-03-30_final
2022-03-30 11:14:05	ga_s2am_ard_3-2-1_52KDU_2022-03-30_final
2022-03-30 11:14:08	ga_s2am_ard_3-2-1_52KCU_2022-03-30_final
2022-03-30 11:14:10	ga_s2am_ard_3-2-1_52JET_2022-03-30_final
2022-03-30 11:14:11	ga_s2am_ard_3-2-1_51KZP_2022-03-30_final
2022-03-30 11:14:11	ga_s2am_ard_3-2-1_52KBU_2022-03-30_final
2022-03-30 11:14:19	ga_s2am_ard_3-2-1_52JDT_2022-03-30_final
2022-03-30 11:14:23	ga_s2am_ard_3-2-1_52JCT_2022-03-30_final
2022-03-30 11:14:26	ga_s2am_ard_3-2-1_51JZN_2022-03-30_final
2022-03-30 11:14:31	ga_s2am_ard_3-2-1_51JYN_2022-03-30_final
2022-03-30 11:14:37	ga_s2am_ard_3-2-1_52JCS_2022-03-30_final
2022-03-30 11:14:40	ga_s2am_ard_3-2-1_51JZM_2022-03-30_final
2022-03-30 11:14:48	ga_s2am_ard_3-2-1_52JDR_2022-03-30_final
2022-03-30 11:14:52	ga_s2am_ard_3-2-1_52JCR_2022-03-30_final
2022-03-30 11:14:55	ga_s2am_ard_3-2-1_52JBR_2022-03-30_final
2022-03-30 11:15:02	ga_s2am_ard_3-2-1_52JDQ_2022-03-30_final
2022-03-30 11:15:06	ga_s2am_ard_3-2-1_52JCQ_2022-03-30_final
2022-03-30 11:15:09	ga_s2am_ard_3-2-1_52JBQ_2022-03-30_final
2022-03-30 11:15:13	ga_s2am_ard_3-2-1_51JYK_2022-03-30_final
2022-03-30 11:15:15	ga_s2am_ard_3-2-1_52JDP_2022-03-30_final
2022-03-30 11:15:39	ga_s2am_ard_3-2-1_52JBN_2022-03-30_final
2022-03-30 11:15:41	ga_s2am_ard_3-2-1_51JYH_2022-03-30_final
2022-03-30 11:15:50	ga_s2am_ard_3-2-1_52JCM_2022-03-30_final
2022-03-30 11:15:53	ga_s2am_ard_3-2-1_52JBM_2022-03-30_final
2022-03-30 11:15:56	ga_s2am_ard_3-2-1_51JYG_2022-03-30_final
2022-03-30 11:15:59	ga_s2am_ard_3-2-1_51JXG_2022-03-30_final
2022-03-30 11:16:08	ga_s2am_ard_3-2-1_52JBL_2022-03-30_final
2022-03-30 11:16:14	ga_s2am_ard_3-2-1_51JXF_2022-03-30_final
2022-03-30 11:16:22	ga_s2am_ard_3-2-1_52HBK_2022-03-30_final
2022-03-30 11:16:25	ga_s2am_ard_3-2-1_51HYE_2022-03-30_final
2022-03-30 11:16:28	ga_s2am_ard_3-2-1_51HXE_2022-03-30_final
2022-03-30 11:16:33	ga_s2am_ard_3-2-1_51HWE_2022-03-30_final
2022-03-30 11:16:39	ga_s2am_ard_3-2-1_51HYD_2022-03-30_final
2022-03-30 11:16:46	ga_s2am_ard_3-2-1_51HWD_2022-03-30_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

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